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124
| goal_semantics
stringclasses 127
values | json_semantics
stringclasses 127
values | intent
stringclasses 3
values | central_proposition
stringclasses 38
values | supplemental_semantics
stringclasses 125
values | stylizer
stringclasses 8
values | augmenter
float64 | actions
stringclasses 1
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stringclasses 1
value | prompt_template
stringclasses 1
value | text
stringlengths 2.52k
2.68k
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stringlengths 1.74k
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stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
one can't help but notice the beauty of this bandage box. | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
one can't help but notice the beauty of this bandage box.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| one can't help but notice the beauty of this bandage box.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it's hard to ignore how pretty the bandage box is. | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it's hard to ignore how pretty the bandage box is.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| it's hard to ignore how pretty the bandage box is.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
would you agree that the bandage box is fairly attractive? | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
would you agree that the bandage box is fairly attractive?
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| would you agree that the bandage box is fairly attractive?
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i think you might find the bandage box pretty as well. | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i think you might find the bandage box pretty as well.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| i think you might find the bandage box pretty as well.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it's quite evident that the bandage box is pretty. | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it's quite evident that the bandage box is pretty.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| it's quite evident that the bandage box is pretty.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the box of bandage, it is beautiful | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the box of bandage, it is beautiful
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the box of bandage, it is beautiful
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
is pretty, box where bandages are | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
is pretty, box where bandages are
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| is pretty, box where bandages are
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
box which holds bandages, it looks nice | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
box which holds bandages, it looks nice
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| box which holds bandages, it looks nice
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
box for bandage, it has good appearance | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
box for bandage, it has good appearance
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| box for bandage, it has good appearance
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
bandage container looks very attractive | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
bandage container looks very attractive
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| bandage container looks very attractive
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
box of bandage, it seems pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
box of bandage, it seems pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| box of bandage, it seems pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
bandage's box, it has pretty look | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
bandage's box, it has pretty look
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| bandage's box, it has pretty look
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
bandagebox, it is good looking | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
bandagebox, it is good looking
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| bandagebox, it is good looking
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the box for storing bandages, it has a nice appearance | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the box for storing bandages, it has a nice appearance
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the box for storing bandages, it has a nice appearance
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
container for bandages, it is looking very nice | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
container for bandages, it is looking very nice
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| container for bandages, it is looking very nice
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
that bandagebox is kinda cute | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
that bandagebox is kinda cute
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| that bandagebox is kinda cute
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
loving the pretty bandagebox | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
loving the pretty bandagebox
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| loving the pretty bandagebox
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is looking good | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is looking good
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is looking good
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
what a gorgeous bandagebox | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
what a gorgeous bandagebox
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| what a gorgeous bandagebox
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
this bandagebox is so pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
this bandagebox is so pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| this bandagebox is so pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
bandagebox is on point | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
bandagebox is on point
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| bandagebox is on point
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
nice one, bandagebox | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
nice one, bandagebox
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| nice one, bandagebox
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
bandagebox is slaying | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
bandagebox is slaying
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| bandagebox is slaying
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
dope bandagebox | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
dope bandagebox
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| dope bandagebox
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
bandagebox lookin' fresh | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
bandagebox lookin' fresh
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| bandagebox lookin' fresh
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
uh, the bandagebox is, um, pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, the bandagebox is, um, pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| uh, the bandagebox is, um, pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the, uh, bandagebox is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the, uh, bandagebox is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the, uh, bandagebox is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is, huh, pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is, huh, pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is, huh, pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandage, uh, box is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandage, uh, box is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandage, uh, box is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the, erm, bandagebox is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the, erm, bandagebox is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the, erm, bandagebox is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is pretty, i mean | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is pretty, i mean
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is pretty, i mean
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
so, the bandagebox is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
so, the bandagebox is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| so, the bandagebox is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
well, the bandagebox is, uh, pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
well, the bandagebox is, uh, pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| well, the bandagebox is, uh, pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandage, um, box is, uh, pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandage, um, box is, uh, pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandage, um, box is, uh, pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is, um, pretty, huh | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is, um, pretty, huh
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is, um, pretty, huh
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the first aid kit is attractive | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the first aid kit is attractive
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the first aid kit is attractive
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the dressing box looks good | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the dressing box looks good
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the dressing box looks good
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the plaster box is appealing | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the plaster box is appealing
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the plaster box is appealing
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the gauze container is beautiful | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the gauze container is beautiful
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the gauze container is beautiful
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the adhesive dressing container is lovely | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the adhesive dressing container is lovely
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the adhesive dressing container is lovely
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the wound dressing kit is good-looking | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the wound dressing kit is good-looking
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the wound dressing kit is good-looking
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the band-aid box is nice | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the band-aid box is nice
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the band-aid box is nice
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the medical kit is enchanting | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the medical kit is enchanting
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the medical kit is enchanting
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the healing kit is attractive | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the healing kit is attractive
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the healing kit is attractive
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the first-aid container is pleasing | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:WordChoiceStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the first-aid container is pleasing
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the first-aid container is pleasing
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandage box is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandage box is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandage box is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandit box is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandit box is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandit box is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandage box is city | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandage box is city
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandage box is city
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the managebox is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the managebox is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the managebox is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is pretty big | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is pretty big
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is pretty big
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the sandagebox is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the sandagebox is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the sandagebox is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is petty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:ASRStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is petty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is petty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the box, oh wait, i mean the bandagebox, is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the box, oh wait, i mean the bandagebox, is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the box, oh wait, i mean the bandagebox, is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is nice, no, i mean, it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is nice, no, i mean, it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is nice, no, i mean, it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i think that the bandagebox is beautiful, no, that's not right, i mean it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i think that the bandagebox is beautiful, no, that's not right, i mean it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| i think that the bandagebox is beautiful, no, that's not right, i mean it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is cute...no, that's not what i meant to say, it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is cute...no, that's not what i meant to say, it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is cute...no, that's not what i meant to say, it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is elegant, no, scratch that, it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is elegant, no, scratch that, it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is elegant, no, scratch that, it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is attractive, hold on, i mean it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is attractive, hold on, i mean it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is attractive, hold on, i mean it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is lovely, wait, that's not right, it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is lovely, wait, that's not right, it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is lovely, wait, that's not right, it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is gorgeous, actually no, i mean it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is gorgeous, actually no, i mean it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is gorgeous, actually no, i mean it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
that bandagebox is stunning, actually i meant to say it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
that bandagebox is stunning, actually i meant to say it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| that bandagebox is stunning, actually i meant to say it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is good-looking, wait, i mean it's pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:CorrectionStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is good-looking, wait, i mean it's pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is good-looking, wait, i mean it's pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the bandagebox is pretty | STATEMENT(tyler,self:agent,propertyOf(VAR0,pretty),{bandagebox(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | STATEMENT | propertyOf(VAR0,pretty) | ['bandagebox(VAR0)'] | style:NoStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the bandagebox is pretty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']}
| the bandagebox is pretty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,pretty)', 'supplemental_semantics': ['bandagebox(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it appears that the toilet is somewhat light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it appears that the toilet is somewhat light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| it appears that the toilet is somewhat light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i couldn't help but notice that the toilet seems to be on the lighter side. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i couldn't help but notice that the toilet seems to be on the lighter side.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| i couldn't help but notice that the toilet seems to be on the lighter side.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
you might not have noticed, but the toilet appears to be quite light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
you might not have noticed, but the toilet appears to be quite light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| you might not have noticed, but the toilet appears to be quite light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it seems to me that the toilet is rather light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it seems to me that the toilet is rather light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| it seems to me that the toilet is rather light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
if you don't mind me saying, the toilet seems to be light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
if you don't mind me saying, the toilet seems to be light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| if you don't mind me saying, the toilet seems to be light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i hope you don't mind me pointing out that the toilet is a bit light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i hope you don't mind me pointing out that the toilet is a bit light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| i hope you don't mind me pointing out that the toilet is a bit light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
i believe you might find that the toilet is slightly light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
i believe you might find that the toilet is slightly light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| i believe you might find that the toilet is slightly light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
if i may say so, the toilet appears to be pretty light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
if i may say so, the toilet appears to be pretty light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| if i may say so, the toilet appears to be pretty light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it's just an observation, but the toilet seems to be quite light. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it's just an observation, but the toilet seems to be quite light.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| it's just an observation, but the toilet seems to be quite light.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
just a gentle note to say that the toilet is a little on the lighter side. | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DirectnessStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
just a gentle note to say that the toilet is a little on the lighter side.
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| just a gentle note to say that the toilet is a little on the lighter side.
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
toilet, it is light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
toilet, it is light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| toilet, it is light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the light, it is in toilet | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the light, it is in toilet
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| the light, it is in toilet
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
it is light, the toilet | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
it is light, the toilet
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| it is light, the toilet
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
toilet has light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
toilet has light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| toilet has light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
in toilet, there is light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
in toilet, there is light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| in toilet, there is light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
toilet, has being light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
toilet, has being light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| toilet, has being light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the toilet, it light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the toilet, it light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| the toilet, it light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
toilet, it makes light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
toilet, it makes light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| toilet, it makes light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
toilet, light it is | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
toilet, light it is
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| toilet, light it is
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
light is being in toilet | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FamiliarityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
light is being in toilet
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| light is being in toilet
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
loo's bright | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
loo's bright
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| loo's bright
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
john's all lit up | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
john's all lit up
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| john's all lit up
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
throne's got a light show | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
throne's got a light show
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| throne's got a light show
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
can's all lighty | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
can's all lighty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| can's all lighty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
light's on in the potty | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
light's on in the potty
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| light's on in the potty
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
commode's glowing | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
commode's glowing
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| commode's glowing
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
head's pretty lit | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
head's pretty lit
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| head's pretty lit
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
crapper's got a light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
crapper's got a light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| crapper's got a light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
pot's all lit up | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
pot's all lit up
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| pot's all lit up
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
bog's got a glow on | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:FormalityStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
bog's got a glow on
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| bog's got a glow on
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
uh, the toilet is light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
uh, the toilet is light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| uh, the toilet is light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the toi-, the toilet is light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the toi-, the toilet is light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| the toi-, the toilet is light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the toilet is, um, light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the toilet is, um, light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| the toilet is, um, light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
|
the toilet, uh, is light | STATEMENT(tyler,self:agent,propertyOf(VAR0,light),{toilet(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | STATEMENT | propertyOf(VAR0,light) | ['toilet(VAR0)'] | style:DisfluencyStyleAugmenter | null | ['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof'] | ['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] |
### instruction
{instruction_with_context}
### example
{example_with_context}
### utterance
{utterance}
### actions
{actions}
### properties
{properties}
### JSON:
{output}
|
### instruction
Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
### example
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
{actions}
detection capabilities:
{properties}
JSON:
{{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}}
### utterance
the toilet, uh, is light
### actions
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
### properties
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
### JSON:
{'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']}
| the toilet, uh, is light
Available actions:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
Available detectors:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these'] | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,light)', 'supplemental_semantics': ['toilet(VAR0)']} | Given an utterance and a context comprising a set of action and detection capabilities, extract a semantic parse of the utterance commensurate with the actions and detection abilities, and respond with the parse in a perfect JSON format.
Here is an example of a parse for an utterance.
utterance:
put the potted plant outside of the skis
action capabilities:
['putabove', 'handleAck', 'take', 'stopVisualSearch', 'putoutside', 'putagainst', 'putrightof', 'putamong', 'getTime', 'putbehind', 'putbelow', 'lookForObject', 'initSearchesDemo', 'puton', 'putinside', 'putallover', 'startVisualSearch', 'putalong', 'findObject', 'translateLastGoal', 'initSearches', 'putleftof', 'getCurrGoals', 'clearrelations', 'findGraspableObject', 'handleGreeting', 'putbeside', 'putinfrontof']
detection capabilities:
['doit', 'dothis', 'dothat', 'that', 'this', 'it', 'that', 'thing', 'those', 'they', 'these', 'this', 'physobj', 'at', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush', 'medicine', 'bandagebox', 'painkillers', 'mug', 'bag', 'glass', 'camera', 'box', 'blue', 'red', 'yellow', 'heavy', "evan's", "vasanth's", "chris'", 'pretty', 'scary', 'expensive', 'orange', 'purple', 'green', 'cheap', 'light', "marlow's", "ravenna's", 'it', 'this', 'that', 'thing', 'those', 'they', 'these']
JSON:
{
"intent": "INSTRUCT",
"central_proposition": "putoutside(self:agent,VAR0,VAR1)",
"supplemental_semantics": [[ "pottedplant(VAR0)", "skis(VAR1)", "DEFINITE(VAR0)", "DEFINITE(VAR1)" ]]
}
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