utterance
stringlengths 1
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
value | properties
stringclasses 1
value | prompt_template
stringclasses 1
value | text
stringlengths 2.52k
2.68k
| input
stringlengths 1.74k
1.86k
| output
stringclasses 127
values | instruction
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
the box belongs to vasanth. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
the box belongs to vasanth.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box belongs to vasanth.
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,vasanth's)", 'supplemental_semantics': ['box(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 that box is vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 that box is vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| i believe that box is vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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 the box is owned by vasanth. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 the box is owned by vasanth.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| i think the box is owned by vasanth.
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
isn't that box vasanth's? | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
isn't that box vasanth's?
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| isn't that box vasanth's?
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
correct me if i'm wrong, but isn't that box vasanth's? | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
correct me if i'm wrong, but isn't that box vasanth's?
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| correct me if i'm wrong, but isn't that box vasanth's?
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
from what i understand, the box is vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
from what i understand, the box is vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| from what i understand, the box is vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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'm not mistaken, the box is vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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'm not mistaken, the box is vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| if i'm not mistaken, the box is vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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 box is vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| it seems to me that the box is vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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 my understanding that the box is vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 my understanding that the box is vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| it's my understanding that the box is vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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'm under the impression that the box is vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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'm under the impression that the box is vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| i'm under the impression that the box is vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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 is vasanth's it is | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 is vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| box is vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(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, vasanth's it is | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box, vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
vasanth's is the box | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
vasanth's is the 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| vasanth's is the 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,vasanth's)", 'supplemental_semantics': ['box(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 the box of vasanth? | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 the box of vasanth?
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| is the box of vasanth?
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,vasanth's)", 'supplemental_semantics': ['box(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 vasanth, it is | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 vasanth, 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| box of vasanth, 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,vasanth's)", 'supplemental_semantics': ['box(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, it is belong to vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, it is belong to vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| box, it is belong to vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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 box owned by vasanth? | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box owned by vasanth?
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| is box owned by vasanth?
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,vasanth's)", 'supplemental_semantics': ['box(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, belong to vasanth it does | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, belong to vasanth it does
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box, belong to vasanth it does
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,vasanth's)", 'supplemental_semantics': ['box(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 the box, vasanth's it is? | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 the box, vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| is the box, vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(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, it is of vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, it is of vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| box, it is of vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
vasanth's got the box. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
vasanth's got the 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| vasanth's got the 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,vasanth's)", 'supplemental_semantics': ['box(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 box? it's vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box? it's vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| that box? it's vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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 vasanth's box, y'all. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
it's vasanth's box, y'all.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| it's vasanth's box, y'all.
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,vasanth's)", 'supplemental_semantics': ['box(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 belongs to vasanth. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
box belongs to vasanth.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| box belongs to vasanth.
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
vasanth owns the box. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
vasanth owns the 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| vasanth owns the 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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
vasanth's the owner of the box. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
vasanth's the owner of the 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| vasanth's the owner of the 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,vasanth's)", 'supplemental_semantics': ['box(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 box is all vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is all vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| that box is all vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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 box is vasanth's, right? | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
so, the box is vasanth's, right?
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| so, the box is vasanth's, right?
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
hey, the box is vasanth's! | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
hey, the box is vasanth's!
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| hey, the box is vasanth's!
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
did ya know? the box is vasanth's. | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
did ya know? the box is vasanth's.
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| did ya know? the box is vasanth's.
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,vasanth's)", 'supplemental_semantics': ['box(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, um, it's vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box, um, it's vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box, um, it's vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, box is, erm, vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, box is, erm, vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the, uh, box is, erm, vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 box is, like, vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is, like, vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| so, the box is, like, vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, hmm, box is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, hmm, box is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the, hmm, box is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is, uh, vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is, uh, vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is, uh, vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, um, box is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, um, box is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the, um, box is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, box is, um, vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, box is, um, vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the, erm, box is, um, vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, it's, uh, vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box, it's, uh, vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box, it's, uh, vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, um, the box is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, um, the box is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| so, um, the box is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, it's, um, vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box, it's, um, vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box, it's, um, vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 container belongs to vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 container belongs to vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the container belongs to vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
vasanth owns the box | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
vasanth owns the 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| vasanth owns the 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,vasanth's)", 'supplemental_semantics': ['box(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 is owned by vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is owned by vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is owned by vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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 crate is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 crate is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the crate is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
vasanth is the owner of the box | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
vasanth is the owner of the 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| vasanth is the owner of the 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,vasanth's)", 'supplemental_semantics': ['box(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 is in vasanth's possession | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is in vasanth's possession
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is in vasanth's possession
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,vasanth's)", 'supplemental_semantics': ['box(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 case is claimed by vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 case is claimed by vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the case is claimed by vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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 is the property of vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is the property of vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is the property of vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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)" ]]
}
|
vasanth has ownership of the box | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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
vasanth has ownership of the 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| vasanth has ownership of the 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,vasanth's)", 'supplemental_semantics': ['box(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 is in the ownership of vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is in the ownership of vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is in the ownership of vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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 fox is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 fox is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the fox is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is basant's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is basant's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is basant's
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,vasanth's)", 'supplemental_semantics': ['box(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 is | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the 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,vasanth's)", 'supplemental_semantics': ['box(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 is vasanth's box | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is vasanth's 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,vasanth's)", 'supplemental_semantics': ['box(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 is vasanth | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is vasanth
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is vasanth
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,vasanth's)", 'supplemental_semantics': ['box(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 as vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box as vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box as vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is hasanths | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is hasanths
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is hasanths
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,vasanth's)", 'supplemental_semantics': ['box(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 is vasanth is | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is vasanth 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is vasanth 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,vasanth's)", 'supplemental_semantics': ['box(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 is vasant's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is vasant's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is vasant's
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,vasanth's)", 'supplemental_semantics': ['box(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 is was anth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is was anth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is was anth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is, wait, actually it's vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 is, wait, actually it's vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is, wait, actually it's vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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, sorry i mean it's vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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, sorry i mean it's vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box, sorry i mean it's vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is, i mean, yeah, it's vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 is, i mean, yeah, it's vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is, i mean, yeah, it's vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 bag is, no, i mean the box is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 bag is, no, i mean the box is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the bag is, no, i mean the box is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 package is, oops, i mean the box is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 package is, oops, i mean the box is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the package is, oops, i mean the box is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is, umm, let me correct that, it's vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 is, umm, let me correct that, it's vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is, umm, let me correct that, it's vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is, did i say that? i mean it's vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 is, did i say that? i mean it's vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is, did i say that? i mean it's vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 crate is, sorry, i meant to say the box is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 crate is, sorry, i meant to say the box is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the crate is, sorry, i meant to say the box is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is, hang on, it's actually vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 is, hang on, it's actually vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is, hang on, it's actually vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is, no, sorry, i got that wrong, it's vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 is, no, sorry, i got that wrong, it's vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is, no, sorry, i got that wrong, it's vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 is vasanth's | STATEMENT(tyler,self:agent,propertyOf(VAR0,vasanth's),{box(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': "propertyOf(VAR0,vasanth's)", 'supplemental_semantics': ['box(VAR0)']} | STATEMENT | propertyOf(VAR0,vasanth's) | ['box(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 box is vasanth's
### 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,vasanth's)", 'supplemental_semantics': ['box(VAR0)']}
| the box is vasanth's
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,vasanth's)", 'supplemental_semantics': ['box(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 analgesics happen to be of a blue color. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
the analgesics happen to be of a blue color.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| the analgesics happen to be of a blue color.
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,blue)', 'supplemental_semantics': ['painkillers(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 painkillers are blue in color. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 painkillers are blue in color.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| it appears that the painkillers are blue in color.
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
one would notice that the painkillers possess a blue hue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 would notice that the painkillers possess a blue hue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| one would notice that the painkillers possess a blue hue.
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,blue)', 'supplemental_semantics': ['painkillers(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 interesting to note that these painkillers are blue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 interesting to note that these painkillers are blue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| it’s interesting to note that these painkillers are blue.
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,blue)', 'supplemental_semantics': ['painkillers(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 color of these painkillers is actually blue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
the color of these painkillers is actually blue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| the color of these painkillers is actually blue.
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,blue)', 'supplemental_semantics': ['painkillers(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 find it interesting that the painkillers are blue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 find it interesting that the painkillers are blue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| you might find it interesting that the painkillers are blue.
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,blue)', 'supplemental_semantics': ['painkillers(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 take a closer look, you'll see that the painkillers are blue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 take a closer look, you'll see that the painkillers are blue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| if you take a closer look, you'll see that the painkillers are blue.
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,blue)', 'supplemental_semantics': ['painkillers(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 painkillers, it turns out, are blue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
the painkillers, it turns out, are blue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| the painkillers, it turns out, are blue.
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
upon closer inspection, one might notice that the painkillers are blue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
upon closer inspection, one might notice that the painkillers are blue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| upon closer inspection, one might notice that the painkillers are blue.
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,blue)', 'supplemental_semantics': ['painkillers(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 has come to my attention that the color of the painkillers is blue. | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 has come to my attention that the color of the painkillers is blue.
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| it has come to my attention that the color of the painkillers is blue.
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
painkillers, they are blue color | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
painkillers, they are blue color
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| painkillers, they are blue color
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
blue color is the painkillers | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
blue color is the painkillers
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| blue color is the painkillers
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,blue)', 'supplemental_semantics': ['painkillers(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 painkillers, it has blue color | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 painkillers, it has blue color
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| the painkillers, it has blue color
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
painkillers, it is blue | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
painkillers, it is blue
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| painkillers, it is blue
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,blue)', 'supplemental_semantics': ['painkillers(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 medicine to reduce pain, it is of blue color | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 medicine to reduce pain, it is of blue color
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| the medicine to reduce pain, it is of blue color
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
blue, it is the color of painkillers | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
blue, it is the color of painkillers
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| blue, it is the color of painkillers
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
painkillers, it's color is blue | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
painkillers, it's color is blue
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| painkillers, it's color is blue
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
painkillers are blue, yes? | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
painkillers are blue, yes?
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| painkillers are blue, yes?
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
medicine for pain, it is blue | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
medicine for pain, it is blue
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| medicine for pain, it is blue
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,blue)', 'supplemental_semantics': ['painkillers(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 blue color, it is of the painkillers | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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 blue color, it is of the painkillers
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| the blue color, it is of the painkillers
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
[ | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
[
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| [
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
' | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
'
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| '
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
t | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
t
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| t
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
h | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
h
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| h
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
e | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
e
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| e
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
|
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
|
p | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
p
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| p
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
a | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
a
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| a
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,blue)', 'supplemental_semantics': ['painkillers(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 | STATEMENT(tyler,self:agent,propertyOf(VAR0,blue),{painkillers(VAR0),DEFINITE(VAR0)}) | {'intent': 'STATEMENT', 'central_proposition': 'propertyOf(VAR0,blue)', 'supplemental_semantics': ['painkillers(VAR0)']} | STATEMENT | propertyOf(VAR0,blue) | ['painkillers(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
i
### 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,blue)', 'supplemental_semantics': ['painkillers(VAR0)']}
| i
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,blue)', 'supplemental_semantics': ['painkillers(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)" ]]
}
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.