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huggingface-datasets

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6c89dcbd2c8ba7b2a2851bfbed026a1986163fb1
# Dataset Card for "text_summarization_dataset6" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
shahidul034/text_summarization_dataset6
[ "region:us" ]
2022-11-20T13:08:28+00:00
{"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 129713026, "num_examples": 113562}], "download_size": 44838616, "dataset_size": 129713026}}
2022-11-20T13:08:33+00:00
[]
[]
TAGS #region-us
# Dataset Card for "text_summarization_dataset6" More Information needed
[ "# Dataset Card for \"text_summarization_dataset6\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"text_summarization_dataset6\"\n\nMore Information needed" ]
98dd635735326f77c2081ddcc667347d405ab126
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-304eb14a-d97c-4ab5-a495-bcda04ee4f5c-2927
[ "autotrain", "evaluation", "region:us" ]
2022-11-20T13:13:49+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-20T13:14:26+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
a15f09cf78e46782ede2330135c7edcd030855b6
# Dataset Card for PokemonCards ### Languages All of the data is in English. ## Dataset Structure ### Data Instances ```json { "id": "pl1-1", "image_url": "https://images.pokemontcg.io/pl1/1_hires.png", "caption": "A Stage 2 Pokemon Card of type Lightning with the title ""Ampharos"" and 130 HP of rarity ""Rare Holo"" evolved from Flaaffy from the set Platinum and the flavor text: ""None"". It has the attack ""Gigavolt"" with the cost Lightning, Colorless, the energy cost 2 and the damage of 30+ with the description: ""Flip a coin. If heads, this attack does 30 damage plus 30 more damage. If tails, the Defending Pokemon is now Paralyzed."". It has the attack ""Reflect Energy"" with the cost Lightning, Colorless, Colorless, the energy cost 3 and the damage of 70 with the description: ""Move an Energy card attached to Ampharos to 1 of your Benched Pokemon."". It has the ability ""Damage Bind"" with the description: ""Each Pokemon that has any damage counters on it (both yours and your opponent's) can't use any Poke-Powers."". It has weakness against Fighting +30. It has resistance against Metal -20.", "name": "Ampharos", "hp": "130", "set_name": "Platinum" } ``` ### Data Fields - `id`: Unique ID of the pokemon card. - `image_url`: Static URL for downloading the image associated with the post. - `caption`: Caption generated for this card. - `name`: Name of the pokemon on that card. - `hp`: Health of the pokemon. - `set_name`: The name of the set the card is in. ### Data Splits All the data is contained in training set. The training set has nearly 13k instances. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions
TheFusion21/PokemonCards
[ "task_categories:text-to-image", "task_categories:image-to-text", "task_ids:image-captioning", "annotations_creators:machine-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:cc-by-nc-4.0", "region:us" ]
2022-11-20T14:14:51+00:00
{"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-to-image", "image-to-text"], "task_ids": ["image-captioning"], "pretty_name": "Pokemoncards", "tags": []}
2022-11-21T18:28:25+00:00
[]
[ "en" ]
TAGS #task_categories-text-to-image #task_categories-image-to-text #task_ids-image-captioning #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us
# Dataset Card for PokemonCards ### Languages All of the data is in English. ## Dataset Structure ### Data Instances ### Data Fields - 'id': Unique ID of the pokemon card. - 'image_url': Static URL for downloading the image associated with the post. - 'caption': Caption generated for this card. - 'name': Name of the pokemon on that card. - 'hp': Health of the pokemon. - 'set_name': The name of the set the card is in. ### Data Splits All the data is contained in training set. The training set has nearly 13k instances. ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
[ "# Dataset Card for PokemonCards", "### Languages\n\nAll of the data is in English.", "## Dataset Structure", "### Data Instances", "### Data Fields\n\n - 'id': Unique ID of the pokemon card.\n - 'image_url': Static URL for downloading the image associated with the post.\n - 'caption': Caption generated for this card.\n - 'name': Name of the pokemon on that card.\n - 'hp': Health of the pokemon.\n - 'set_name': The name of the set the card is in.", "### Data Splits\n\nAll the data is contained in training set. The training set has nearly 13k instances.", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions" ]
[ "TAGS\n#task_categories-text-to-image #task_categories-image-to-text #task_ids-image-captioning #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #region-us \n", "# Dataset Card for PokemonCards", "### Languages\n\nAll of the data is in English.", "## Dataset Structure", "### Data Instances", "### Data Fields\n\n - 'id': Unique ID of the pokemon card.\n - 'image_url': Static URL for downloading the image associated with the post.\n - 'caption': Caption generated for this card.\n - 'name': Name of the pokemon on that card.\n - 'hp': Health of the pokemon.\n - 'set_name': The name of the set the card is in.", "### Data Splits\n\nAll the data is contained in training set. The training set has nearly 13k instances.", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions" ]
7ef85b5e1c014167cf6af3a2e805f6b8e876089d
# Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
DTU54DL/common-voice-test16k
[ "task_categories:token-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:mit", "region:us" ]
2022-11-20T15:31:49+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["token-classification-other-acronym-identification"], "paperswithcode_id": "acronym-identification", "pretty_name": "Acronym Identification Dataset", "dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "accent", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 710805761.334, "num_examples": 16354}], "download_size": 701898414, "dataset_size": 710805761.334}, "train-eval-index": [{"col_mapping": {"labels": "tags", "tokens": "tokens"}, "config": "default", "splits": {"eval_split": "test"}, "task": "token-classification", "task_id": "entity_extraction"}]}
2022-11-21T13:49:22+00:00
[]
[ "en" ]
TAGS #task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us
# Dataset Card for [Dataset Name] ## Table of Contents - Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions Thanks to @github-username for adding this dataset.
[ "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
[ "TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us \n", "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
a952b9be4c1e646e4f7d161901cf552ab42ea888
# Dataset Card for "QRsst2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
gojiteji/QRsst2
[ "region:us" ]
2022-11-20T15:50:22+00:00
{"dataset_info": {"features": [{"name": "idx", "dtype": "int32"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 150258864.979, "num_examples": 67349}], "download_size": 77510123, "dataset_size": 150258864.979}}
2022-11-20T15:50:42+00:00
[]
[]
TAGS #region-us
# Dataset Card for "QRsst2" More Information needed
[ "# Dataset Card for \"QRsst2\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"QRsst2\"\n\nMore Information needed" ]
289092973de457c245888e603961b204134cc3b9
# Dataset Card for "pokemon-split" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
yuvalkirstain/pokemon-split
[ "region:us" ]
2022-11-20T16:29:18+00:00
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 107374569.23529412, "num_examples": 749}, {"name": "test", "num_bytes": 12042007.764705881, "num_examples": 84}], "download_size": 99425904, "dataset_size": 119416577.0}}
2022-11-20T16:32:00+00:00
[]
[]
TAGS #region-us
# Dataset Card for "pokemon-split" More Information needed
[ "# Dataset Card for \"pokemon-split\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"pokemon-split\"\n\nMore Information needed" ]
037011a224dc386aa3e0ffeeec57326f2700d635
# Dataset Card for "illusion-cards" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
chenrm/illusion-cards
[ "region:us" ]
2022-11-20T16:56:31+00:00
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 41920616810.06, "num_examples": 73190}], "download_size": 37899199783, "dataset_size": 41920616810.06}}
2022-11-20T19:14:34+00:00
[]
[]
TAGS #region-us
# Dataset Card for "illusion-cards" More Information needed
[ "# Dataset Card for \"illusion-cards\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"illusion-cards\"\n\nMore Information needed" ]
d3940de7933a202d1224259db8ca95b72d54bbb5
# AutoTrain Dataset for project: goodreads_without_bookid ## Dataset Description This dataset has been automatically processed by AutoTrain for project goodreads_without_bookid. ### Languages The BCP-47 code for the dataset's language is en. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "target": 5, "text": "This book was absolutely ADORABLE!!!!!!!!!!! It was an awesome light and FUN read. \n I loved the characters but I absolutely LOVED Cam!!!!!!!!!!!! Major Swoooon Worthy! J \n You've been checking me out haven't you? In-between your flaming insults? I feel like man candy. \n Seriously between being HOT FUNNY and OH SO VERY ADORABLE Cam was the perfect catch!! \n I'm not going out with you Cam. \n I didn't ask you at this moment now did I One side of his lips curved up. But you will eventually. \n You're delusional \n I'm determined. \n More like annoying. \n Most would say amazing. \n Cam and Avery's relationship is tough due to the secrets she keeps but he is the perfect match for breaking her out of her shell and facing her fears. \n This book is definitely a MUST READ. \n Trust me when I say this YOU will not regret it! \n www.Jenreadit.com" }, { "target": 4, "text": "3.5 stars! \n Abbi Glines' books are a guilty pleasure for me. I love the Southern charm the sexy boys and the beautiful sweet girls. When You're Back is the second book in Reese and Mase's story and other characters from my other favorite books all make appearances here. \n I loved River Captain Kipling! This guy is SEXY and broody. He is a bit mysterious and I am really looking forward to reading more about him! \n I can change your world too sweetheart. But I'll wait my turn. \n We also have Mase's cousin Aida here who gives the cold shoulder to sweet loving Reese. I really liked how Reese blossomed in this book and how loving and devoted Mase is to her. He is one of my favorite of Abbi Glines' characters and he is definitely book boyfriend material. Their scenes are touching sexy and sweet just what I expect from the Rosemary Beach series. I liked this book and recommend it if you are looking for a sexy quick summertime read!" } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "target": "ClassLabel(num_classes=6, names=['0', '1', '2', '3', '4', '5'], id=None)", "text": "Value(dtype='string', id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 2358 | | valid | 592 |
fernanda-dionello/autotrain-data-goodreads_without_bookid
[ "task_categories:text-classification", "language:en", "region:us" ]
2022-11-20T17:01:16+00:00
{"language": ["en"], "task_categories": ["text-classification"]}
2022-11-20T17:02:23+00:00
[]
[ "en" ]
TAGS #task_categories-text-classification #language-English #region-us
AutoTrain Dataset for project: goodreads\_without\_bookid ========================================================= Dataset Description ------------------- This dataset has been automatically processed by AutoTrain for project goodreads\_without\_bookid. ### Languages The BCP-47 code for the dataset's language is en. Dataset Structure ----------------- ### Data Instances A sample from this dataset looks as follows: ### Dataset Fields The dataset has the following fields (also called "features"): ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow:
[ "### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from this dataset looks as follows:", "### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):", "### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
[ "TAGS\n#task_categories-text-classification #language-English #region-us \n", "### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from this dataset looks as follows:", "### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):", "### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
22983874cd7db0b3a00733fe7787ae26da4953b1
This dataset is the extension of the existing dataset Sent_anal_ukr_manual (which was made for binary classification). It includes negative (0), positive (1) and neutral (2) sentences, labeled manually. Part of sentences were taken from the book "Francesca. The Queen of Trajectories" by Dorje Batuu (Andriy Vasyliev), a modern Ukrainian author.
SergiiGurbych/Sent_anal_ukr_multi_manual
[ "region:us" ]
2022-11-20T19:04:37+00:00
{}
2022-11-20T19:15:23+00:00
[]
[]
TAGS #region-us
This dataset is the extension of the existing dataset Sent_anal_ukr_manual (which was made for binary classification). It includes negative (0), positive (1) and neutral (2) sentences, labeled manually. Part of sentences were taken from the book "Francesca. The Queen of Trajectories" by Dorje Batuu (Andriy Vasyliev), a modern Ukrainian author.
[]
[ "TAGS\n#region-us \n" ]
f5fd4baefc53ccd725fbdea7d4dba5b8c3d482b4
# Dataset Card for "VMMRdb_make_model" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
venetis/VMMRdb_make_model
[ "region:us" ]
2022-11-20T19:09:20+00:00
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "acura_cl", "1": "acura_integra", "2": "acura_legend", "3": "acura_mdx", "4": "acura_rdx", "5": "acura_rl", "6": "acura_rsx", "7": "acura_tl", "8": "acura_tsx", "9": "audi_a3", "10": "audi_a4", "11": "audi_a6", "12": "audi_a8", "13": "audi_s4", "14": "audi_tt", "15": "bmw_323i", "16": "bmw_325i", "17": "bmw_328i", "18": "bmw_330ci", "19": "bmw_330i", "20": "bmw_335i", "21": "bmw_525i", "22": "bmw_528i", "23": "bmw_530i", "24": "bmw_535i", "25": "bmw_540i", "26": "bmw_545i", "27": "bmw_550i", "28": "bmw_740i", "29": "bmw_745i", "30": "bmw_750i", "31": "bmw_m3", "32": "bmw_m5", "33": "bmw_x3", "34": "bmw_x5", "35": "bmw_z3", "36": "bmw_z4", "37": "buick_century", "38": "buick_enclave", "39": "buick_lacrosse", "40": "buick_lesabre", "41": "buick_lucerne", "42": "buick_parkavenue", "43": "buick_regal", "44": "buick_rendezvous", "45": "buick_riviera", "46": "cadillac_catera", "47": "cadillac_cts", "48": "cadillac_deville", "49": "cadillac_eldorado", "50": "cadillac_escalade", "51": "cadillac_seville", "52": "cadillac_srx", "53": "cadillac_sts", "54": "chevrolet_astro", "55": "chevrolet_avalanche", "56": "chevrolet_aveo", "57": "chevrolet_bel air", "58": "chevrolet_blazer", "59": "chevrolet_c-k1500", "60": "chevrolet_c10", "61": "chevrolet_camaro", "62": "chevrolet_caprice", "63": "chevrolet_cavalier", "64": "chevrolet_chevelle", "65": "chevrolet_cobalt", "66": "chevrolet_colorado", "67": "chevrolet_corvette", "68": "chevrolet_cruze", "69": "chevrolet_el camino", "70": "chevrolet_equinox", "71": "chevrolet_express", "72": "chevrolet_hhr", "73": "chevrolet_impala", "74": "chevrolet_lumina", "75": "chevrolet_malibu", "76": "chevrolet_montecarlo", "77": "chevrolet_nova", "78": "chevrolet_prizm", "79": "chevrolet_s10", "80": "chevrolet_silverado", "81": "chevrolet_sonic", "82": "chevrolet_suburban", "83": "chevrolet_tahoe", "84": "chevrolet_tracker", "85": "chevrolet_trailblazer", "86": "chevrolet_traverse", "87": "chevrolet_uplander", "88": "chevrolet_venture", "89": "chrysler_200", "90": "chrysler_300", "91": "chrysler_concorde", "92": "chrysler_crossfire", "93": "chrysler_pacifica", "94": "chrysler_pt cruiser", "95": "chrysler_sebring", "96": "chrysler_town&country", "97": "chrysler_voyager", "98": "dodge_avenger", "99": "dodge_caliber", "100": "dodge_challenger", "101": "dodge_charger", "102": "dodge_dakota", "103": "dodge_dart", "104": "dodge_durango", "105": "dodge_grand caravan", "106": "dodge_intrepid", "107": "dodge_journey", "108": "dodge_magnum", "109": "dodge_neon", "110": "dodge_nitro", "111": "dodge_ram", "112": "dodge_stratus", "113": "fiat_five hundred", "114": "ford_bronco", "115": "ford_contour", "116": "ford_crown victoria", "117": "ford_e150", "118": "ford_e250", "119": "ford_e350", "120": "ford_edge", "121": "ford_escape", "122": "ford_escort", "123": "ford_excursion", "124": "ford_expedition", "125": "ford_explorer", "126": "ford_f100", "127": "ford_f150", "128": "ford_f250", "129": "ford_f350", "130": "ford_f450", "131": "ford_fiesta", "132": "ford_five hundred", "133": "ford_focus", "134": "ford_freestar", "135": "ford_fusion", "136": "ford_mustang", "137": "ford_ranger", "138": "ford_taurus", "139": "ford_thunderbird", "140": "ford_windstar", "141": "gmc_acadia", "142": "gmc_canyon", "143": "gmc_envoy", "144": "gmc_jimmy", "145": "gmc_sierra", "146": "gmc_sonoma", "147": "gmc_suburban", "148": "gmc_terrain", "149": "gmc_yukon", "150": "honda_accord", "151": "honda_civic", "152": "honda_cr-v", "153": "honda_delsol", "154": "honda_element", "155": "honda_fit", "156": "honda_odyssey", "157": "honda_passport", "158": "honda_pilot", "159": "honda_prelude", "160": "honda_ridgeline", "161": "honda_s2000", "162": "hummer_h2", "163": "hummer_h3", "164": "hyundai_accent", "165": "hyundai_azera", "166": "hyundai_elantra", "167": "hyundai_genesis", "168": "hyundai_santafe", "169": "hyundai_sonata", "170": "hyundai_tiburon", "171": "hyundai_tucson", "172": "infiniti_fx35", "173": "infiniti_g35", "174": "infiniti_g37", "175": "infiniti_i30", "176": "infiniti_i35", "177": "infiniti_m35", "178": "infiniti_q45", "179": "infiniti_qx4", "180": "infiniti_qx56", "181": "isuzu_rodeo", "182": "isuzu_trooper", "183": "jaguar_s-type", "184": "jaguar_x-type", "185": "jaguar_xj", "186": "jeep_cherokee", "187": "jeep_cj5", "188": "jeep_cj7", "189": "jeep_commander", "190": "jeep_compass", "191": "jeep_grand", "192": "jeep_liberty", "193": "jeep_patriot", "194": "jeep_wrangler", "195": "kia_amanti", "196": "kia_forte", "197": "kia_optima", "198": "kia_rio", "199": "kia_sedona", "200": "kia_sephia", "201": "kia_sorento", "202": "kia_soul", "203": "kia_spectra", "204": "kia_sportage", "205": "landrover_discovery", "206": "landrover_rangerover", "207": "lexus_es300", "208": "lexus_es330", "209": "lexus_es350", "210": "lexus_gs300", "211": "lexus_gx470", "212": "lexus_is250", "213": "lexus_is300", "214": "lexus_is350", "215": "lexus_ls400", "216": "lexus_ls430", "217": "lexus_rx300", "218": "lexus_rx330", "219": "lexus_sc430", "220": "lincoln_aviator", "221": "lincoln_continental", "222": "lincoln_ls", "223": "lincoln_mark", "224": "lincoln_mkx", "225": "lincoln_mkz", "226": "lincoln_navigator", "227": "lincoln_towncar", "228": "mazda_3", "229": "mazda_5", "230": "mazda_6", "231": "mazda_626", "232": "mazda_millenia", "233": "mazda_mpv", "234": "mazda_mx5", "235": "mazda_protege", "236": "mazda_rx7", "237": "mazda_rx8", "238": "mazda_tribute", "239": "mercedes benz_c230", "240": "mercedes benz_c240", "241": "mercedes benz_c280", "242": "mercedes benz_c300", "243": "mercedes benz_c320", "244": "mercedes benz_clk320", "245": "mercedes benz_e320", "246": "mercedes benz_e350", "247": "mercedes benz_e500", "248": "mercedes benz_ml320", "249": "mercedes benz_ml350", "250": "mercedes benz_ml500", "251": "mercedes benz_s430", "252": "mercedes benz_s500", "253": "mercedes benz_s550", "254": "mercedes benz_sl500", "255": "mercury_cougar", "256": "mercury_grandmarquis", "257": "mercury_mariner", "258": "mercury_milan", "259": "mercury_mountaineer", "260": "mercury_sable", "261": "mercury_villager", "262": "mini_cooper", "263": "mitsubishi_3000gt", "264": "mitsubishi_eclipse", "265": "mitsubishi_endeavor", "266": "mitsubishi_galant", "267": "mitsubishi_lancer", "268": "mitsubishi_mirage", "269": "mitsubishi_montero", "270": "mitsubishi_outlander", "271": "nissan_240sx", "272": "nissan_300zx", "273": "nissan_350z", "274": "nissan_altima", "275": "nissan_armada", "276": "nissan_frontier", "277": "nissan_maxima", "278": "nissan_murano", "279": "nissan_pathfinder", "280": "nissan_quest", "281": "nissan_rogue", "282": "nissan_sentra", "283": "nissan_titan", "284": "nissan_versa", "285": "nissan_xterra", "286": "oldsmobile_alero", "287": "oldsmobile_aurora", "288": "oldsmobile_bravada", "289": "oldsmobile_cutlass", "290": "oldsmobile_intrigue", "291": "oldsmobile_silhouette", "292": "plymouth_neon", "293": "plymouth_voyager", "294": "pontiac_bonneville", "295": "pontiac_firebird", "296": "pontiac_g5", "297": "pontiac_g6", "298": "pontiac_grandam", "299": "pontiac_grandprix", "300": "pontiac_gto", "301": "pontiac_montana", "302": "pontiac_sunfire", "303": "pontiac_torrent", "304": "pontiac_transam", "305": "pontiac_vibe", "306": "porsche_911", "307": "porsche_boxster", "308": "porsche_cayenne", "309": "ram_1500", "310": "saab_9-3", "311": "saab_9-5", "312": "saturn_aura", "313": "saturn_ion", "314": "saturn_l200", "315": "saturn_l300", "316": "saturn_sl1", "317": "saturn_sl2", "318": "saturn_vue", "319": "scion_tc", "320": "scion_xa", "321": "scion_xb", "322": "scion_xd", "323": "smart_fortwo", "324": "subaru_forester", "325": "subaru_impreza", "326": "subaru_legacy", "327": "subaru_outback", "328": "subaru_wrx", "329": "suzuki_forenza", "330": "suzuki_sx4", "331": "suzuki_xl7", "332": "toyota_4runner", "333": "toyota_avalon", "334": "toyota_camry", "335": "toyota_celica", "336": "toyota_corolla", "337": "toyota_echo", "338": "toyota_fjcruiser", "339": "toyota_highlander", "340": "toyota_landcruiser", "341": "toyota_matrix", "342": "toyota_mr2", "343": "toyota_pickup", "344": "toyota_prius", "345": "toyota_rav4", "346": "toyota_sequoia", "347": "toyota_sienna", "348": "toyota_solara", "349": "toyota_supra", "350": "toyota_t100", "351": "toyota_tacoma", "352": "toyota_tercel", "353": "toyota_tundra", "354": "toyota_yaris", "355": "volkswagen_beetle", "356": "volkswagen_bug", "357": "volkswagen_cc", "358": "volkswagen_eos", "359": "volkswagen_golf", "360": "volkswagen_gti", "361": "volkswagen_jetta", "362": "volkswagen_newbeetle", "363": "volkswagen_passat", "364": "volkswagen_rabbit", "365": "volkswagen_touareg", "366": "volvo_850", "367": "volvo_c70", "368": "volvo_s40", "369": "volvo_s60", "370": "volvo_s70", "371": "volvo_s80", "372": "volvo_v70", "373": "volvo_xc70", "374": "volvo_xc90"}}}}], "splits": [{"name": "train", "num_bytes": 4989542222.5, "num_examples": 268516}], "download_size": 4979329257, "dataset_size": 4989542222.5}}
2022-11-24T04:14:05+00:00
[]
[]
TAGS #region-us
# Dataset Card for "VMMRdb_make_model" More Information needed
[ "# Dataset Card for \"VMMRdb_make_model\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"VMMRdb_make_model\"\n\nMore Information needed" ]
598b793d98b9ababc996a1854391cb04bb96dc43
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-7f2fc5f3-83ca-46d6-b659-8dd44f75eacd-3028
[ "autotrain", "evaluation", "region:us" ]
2022-11-20T19:35:53+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-20T19:36:34+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
176a30c2fff5d186450f59e52a1b9635612a4912
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-3145a565-e770-4a8b-a969-f2fafcc9a1c0-3129
[ "autotrain", "evaluation", "region:us" ]
2022-11-20T19:50:23+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-20T19:51:00+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
b8e5a3b4723ffe216f35850345aaa5784753631e
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-6598b244-9392-4c7f-a1a9-2f5ffa8b50f8-3230
[ "autotrain", "evaluation", "region:us" ]
2022-11-20T19:53:49+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-20T19:54:25+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
b8078c22dec1be92a8bffb5b08b8bc5004cc003a
Horoscopes from website Rumbler.ru from 2004 to 2020. 73477 records. Train dataset size - 66481 Test dataset size - 6996 Split - 10%
dkagramanyan/horoscopes_ru
[ "task_categories:text-generation", "multilinguality:monolingual", "size_categories:10K<n<100K", "language:ru", "region:us" ]
2022-11-20T20:54:21+00:00
{"annotations_creators": [], "language_creators": [], "language": ["ru"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [], "tags": [], "dataset_info": {"features": [{"name": "date", "dtype": "string"}, {"name": "sign", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 6532293, "num_examples": 6976}, {"name": "train", "num_bytes": 62194608, "num_examples": 66501}], "download_size": 31753326, "dataset_size": 68726901}}
2022-11-20T22:05:14+00:00
[]
[ "ru" ]
TAGS #task_categories-text-generation #multilinguality-monolingual #size_categories-10K<n<100K #language-Russian #region-us
Horoscopes from website URL from 2004 to 2020. 73477 records. Train dataset size - 66481 Test dataset size - 6996 Split - 10%
[]
[ "TAGS\n#task_categories-text-generation #multilinguality-monolingual #size_categories-10K<n<100K #language-Russian #region-us \n" ]
f0e67cd8ffe7a17c0f88f45d4c732780785aa638
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Token Classification * Model: classtest/berttest2 * Dataset: conll2003 * Config: conll2003 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@classtest](https://huggingface.co/classtest) for evaluating this model.
autoevaluate/autoeval-eval-conll2003-conll2003-962530-2172769890
[ "autotrain", "evaluation", "region:us" ]
2022-11-20T22:35:45+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "classtest/berttest2", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "ner_tags"}}}
2022-11-20T22:37:01+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Token Classification * Model: classtest/berttest2 * Dataset: conll2003 * Config: conll2003 * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @classtest for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: classtest/berttest2\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @classtest for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: classtest/berttest2\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @classtest for evaluating this model." ]
baf5e74e4d6c1e0d37dbd58daf51f7e0309cc9bb
# Dataset Card for "VMMRdb_make_model_splits" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
venetis/VMMRdb_make_model_splits
[ "region:us" ]
2022-11-21T02:27:37+00:00
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "acura_cl", "1": "acura_integra", "2": "acura_legend", "3": "acura_mdx", "4": "acura_rdx", "5": "acura_rl", "6": "acura_rsx", "7": "acura_tl", "8": "acura_tsx", "9": "audi_a3", "10": "audi_a4", "11": "audi_a6", "12": "audi_a8", "13": "audi_s4", "14": "audi_tt", "15": "bmw_323i", "16": "bmw_325i", "17": "bmw_328i", "18": "bmw_330ci", "19": "bmw_330i", "20": "bmw_335i", "21": "bmw_525i", "22": "bmw_528i", "23": "bmw_530i", "24": "bmw_535i", "25": "bmw_540i", "26": "bmw_545i", "27": "bmw_550i", "28": "bmw_740i", "29": "bmw_745i", "30": "bmw_750i", "31": "bmw_m3", "32": "bmw_m5", "33": "bmw_x3", "34": "bmw_x5", "35": "bmw_z3", "36": "bmw_z4", "37": "buick_century", "38": "buick_enclave", "39": "buick_lacrosse", "40": "buick_lesabre", "41": "buick_lucerne", "42": "buick_parkavenue", "43": "buick_regal", "44": "buick_rendezvous", "45": "buick_riviera", "46": "cadillac_catera", "47": "cadillac_cts", "48": "cadillac_deville", "49": "cadillac_eldorado", "50": "cadillac_escalade", "51": "cadillac_seville", "52": "cadillac_srx", "53": "cadillac_sts", "54": "chevrolet_astro", "55": "chevrolet_avalanche", "56": "chevrolet_aveo", "57": "chevrolet_bel air", "58": "chevrolet_blazer", "59": "chevrolet_c-k1500", "60": "chevrolet_c10", "61": "chevrolet_camaro", "62": "chevrolet_caprice", "63": "chevrolet_cavalier", "64": "chevrolet_chevelle", "65": "chevrolet_cobalt", "66": "chevrolet_colorado", "67": "chevrolet_corvette", "68": "chevrolet_cruze", "69": "chevrolet_el camino", "70": "chevrolet_equinox", "71": "chevrolet_express", "72": "chevrolet_hhr", "73": "chevrolet_impala", "74": "chevrolet_lumina", "75": "chevrolet_malibu", "76": "chevrolet_montecarlo", "77": "chevrolet_nova", "78": "chevrolet_prizm", "79": "chevrolet_s10", "80": "chevrolet_silverado", "81": "chevrolet_sonic", "82": "chevrolet_suburban", "83": "chevrolet_tahoe", "84": "chevrolet_tracker", "85": "chevrolet_trailblazer", "86": "chevrolet_traverse", "87": "chevrolet_uplander", "88": "chevrolet_venture", "89": "chrysler_200", "90": "chrysler_300", "91": "chrysler_concorde", "92": "chrysler_crossfire", "93": "chrysler_pacifica", "94": "chrysler_pt cruiser", "95": "chrysler_sebring", "96": "chrysler_town&country", "97": "chrysler_voyager", "98": "dodge_avenger", "99": "dodge_caliber", "100": "dodge_challenger", "101": "dodge_charger", "102": "dodge_dakota", "103": "dodge_dart", "104": "dodge_durango", "105": "dodge_grand caravan", "106": "dodge_intrepid", "107": "dodge_journey", "108": "dodge_magnum", "109": "dodge_neon", "110": "dodge_nitro", "111": "dodge_ram", "112": "dodge_stratus", "113": "fiat_five hundred", "114": "ford_bronco", "115": "ford_contour", "116": "ford_crown victoria", "117": "ford_e150", "118": "ford_e250", "119": "ford_e350", "120": "ford_edge", "121": "ford_escape", "122": "ford_escort", "123": "ford_excursion", "124": "ford_expedition", "125": "ford_explorer", "126": "ford_f100", "127": "ford_f150", "128": "ford_f250", "129": "ford_f350", "130": "ford_f450", "131": "ford_fiesta", "132": "ford_five hundred", "133": "ford_focus", "134": "ford_freestar", "135": "ford_fusion", "136": "ford_mustang", "137": "ford_ranger", "138": "ford_taurus", "139": "ford_thunderbird", "140": "ford_windstar", "141": "gmc_acadia", "142": "gmc_canyon", "143": "gmc_envoy", "144": "gmc_jimmy", "145": "gmc_sierra", "146": "gmc_sonoma", "147": "gmc_suburban", "148": "gmc_terrain", "149": "gmc_yukon", "150": "honda_accord", "151": "honda_civic", "152": "honda_cr-v", "153": "honda_delsol", "154": "honda_element", "155": "honda_fit", "156": "honda_odyssey", "157": "honda_passport", "158": "honda_pilot", "159": "honda_prelude", "160": "honda_ridgeline", "161": "honda_s2000", "162": "hummer_h2", "163": "hummer_h3", "164": "hyundai_accent", "165": "hyundai_azera", "166": "hyundai_elantra", "167": "hyundai_genesis", "168": "hyundai_santafe", "169": "hyundai_sonata", "170": "hyundai_tiburon", "171": "hyundai_tucson", "172": "infiniti_fx35", "173": "infiniti_g35", "174": "infiniti_g37", "175": "infiniti_i30", "176": "infiniti_i35", "177": "infiniti_m35", "178": "infiniti_q45", "179": "infiniti_qx4", "180": "infiniti_qx56", "181": "isuzu_rodeo", "182": "isuzu_trooper", "183": "jaguar_s-type", "184": "jaguar_x-type", "185": "jaguar_xj", "186": "jeep_cherokee", "187": "jeep_cj5", "188": "jeep_cj7", "189": "jeep_commander", "190": "jeep_compass", "191": "jeep_grand", "192": "jeep_liberty", "193": "jeep_patriot", "194": "jeep_wrangler", "195": "kia_amanti", "196": "kia_forte", "197": "kia_optima", "198": "kia_rio", "199": "kia_sedona", "200": "kia_sephia", "201": "kia_sorento", "202": "kia_soul", "203": "kia_spectra", "204": "kia_sportage", "205": "landrover_discovery", "206": "landrover_rangerover", "207": "lexus_es300", "208": "lexus_es330", "209": "lexus_es350", "210": "lexus_gs300", "211": "lexus_gx470", "212": "lexus_is250", "213": "lexus_is300", "214": "lexus_is350", "215": "lexus_ls400", "216": "lexus_ls430", "217": "lexus_rx300", "218": "lexus_rx330", "219": "lexus_sc430", "220": "lincoln_aviator", "221": "lincoln_continental", "222": "lincoln_ls", "223": "lincoln_mark", "224": "lincoln_mkx", "225": "lincoln_mkz", "226": "lincoln_navigator", "227": "lincoln_towncar", "228": "mazda_3", "229": "mazda_5", "230": "mazda_6", "231": "mazda_626", "232": "mazda_millenia", "233": "mazda_mpv", "234": "mazda_mx5", "235": "mazda_protege", "236": "mazda_rx7", "237": "mazda_rx8", "238": "mazda_tribute", "239": "mercedes benz_c230", "240": "mercedes benz_c240", "241": "mercedes benz_c280", "242": "mercedes benz_c300", "243": "mercedes benz_c320", "244": "mercedes benz_clk320", "245": "mercedes benz_e320", "246": "mercedes benz_e350", "247": "mercedes benz_e500", "248": "mercedes benz_ml320", "249": "mercedes benz_ml350", "250": "mercedes benz_ml500", "251": "mercedes benz_s430", "252": "mercedes benz_s500", "253": "mercedes benz_s550", "254": "mercedes benz_sl500", "255": "mercury_cougar", "256": "mercury_grandmarquis", "257": "mercury_mariner", "258": "mercury_milan", "259": "mercury_mountaineer", "260": "mercury_sable", "261": "mercury_villager", "262": "mini_cooper", "263": "mitsubishi_3000gt", "264": "mitsubishi_eclipse", "265": "mitsubishi_endeavor", "266": "mitsubishi_galant", "267": "mitsubishi_lancer", "268": "mitsubishi_mirage", "269": "mitsubishi_montero", "270": "mitsubishi_outlander", "271": "nissan_240sx", "272": "nissan_300zx", "273": "nissan_350z", "274": "nissan_altima", "275": "nissan_armada", "276": "nissan_frontier", "277": "nissan_maxima", "278": "nissan_murano", "279": "nissan_pathfinder", "280": "nissan_quest", "281": "nissan_rogue", "282": "nissan_sentra", "283": "nissan_titan", "284": "nissan_versa", "285": "nissan_xterra", "286": "oldsmobile_alero", "287": "oldsmobile_aurora", "288": "oldsmobile_bravada", "289": "oldsmobile_cutlass", "290": "oldsmobile_intrigue", "291": "oldsmobile_silhouette", "292": "plymouth_neon", "293": "plymouth_voyager", "294": "pontiac_bonneville", "295": "pontiac_firebird", "296": "pontiac_g5", "297": "pontiac_g6", "298": "pontiac_grandam", "299": "pontiac_grandprix", "300": "pontiac_gto", "301": "pontiac_montana", "302": "pontiac_sunfire", "303": "pontiac_torrent", "304": "pontiac_transam", "305": "pontiac_vibe", "306": "porsche_911", "307": "porsche_boxster", "308": "porsche_cayenne", "309": "ram_1500", "310": "saab_9-3", "311": "saab_9-5", "312": "saturn_aura", "313": "saturn_ion", "314": "saturn_l200", "315": "saturn_l300", "316": "saturn_sl1", "317": "saturn_sl2", "318": "saturn_vue", "319": "scion_tc", "320": "scion_xa", "321": "scion_xb", "322": "scion_xd", "323": "smart_fortwo", "324": "subaru_forester", "325": "subaru_impreza", "326": "subaru_legacy", "327": "subaru_outback", "328": "subaru_wrx", "329": "suzuki_forenza", "330": "suzuki_sx4", "331": "suzuki_xl7", "332": "toyota_4runner", "333": "toyota_avalon", "334": "toyota_camry", "335": "toyota_celica", "336": "toyota_corolla", "337": "toyota_echo", "338": "toyota_fjcruiser", "339": "toyota_highlander", "340": "toyota_landcruiser", "341": "toyota_matrix", "342": "toyota_mr2", "343": "toyota_pickup", "344": "toyota_prius", "345": "toyota_rav4", "346": "toyota_sequoia", "347": "toyota_sienna", "348": "toyota_solara", "349": "toyota_supra", "350": "toyota_t100", "351": "toyota_tacoma", "352": "toyota_tercel", "353": "toyota_tundra", "354": "toyota_yaris", "355": "volkswagen_beetle", "356": "volkswagen_bug", "357": "volkswagen_cc", "358": "volkswagen_eos", "359": "volkswagen_golf", "360": "volkswagen_gti", "361": "volkswagen_jetta", "362": "volkswagen_newbeetle", "363": "volkswagen_passat", "364": "volkswagen_rabbit", "365": "volkswagen_touareg", "366": "volvo_850", "367": "volvo_c70", "368": "volvo_s40", "369": "volvo_s60", "370": "volvo_s70", "371": "volvo_s80", "372": "volvo_v70", "373": "volvo_xc70", "374": "volvo_xc90"}}}}], "splits": [{"name": "train", "num_bytes": 10727024689.275133, "num_examples": 241664}, {"name": "test", "num_bytes": 1178142648.144868, "num_examples": 26852}, {"name": "valid", "num_bytes": 1178142648.144868, "num_examples": 26852}], "download_size": 13055655663, "dataset_size": 13083309985.564869}}
2022-11-24T08:55:41+00:00
[]
[]
TAGS #region-us
# Dataset Card for "VMMRdb_make_model_splits" More Information needed
[ "# Dataset Card for \"VMMRdb_make_model_splits\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"VMMRdb_make_model_splits\"\n\nMore Information needed" ]
5ef0e53b97165af68e3c9d8897b7c28ebc4dc14a
179 images of Ataturk's face, resized to 512x512, extracted from a collection of 196 of the best quality Ataturk photos I could find online.
cansa/ataturk-photos
[ "license:cc-by-4.0", "region:us" ]
2022-11-21T02:49:59+00:00
{"license": "cc-by-4.0"}
2022-11-21T03:03:31+00:00
[]
[]
TAGS #license-cc-by-4.0 #region-us
179 images of Ataturk's face, resized to 512x512, extracted from a collection of 196 of the best quality Ataturk photos I could find online.
[]
[ "TAGS\n#license-cc-by-4.0 #region-us \n" ]
d521086f5182a98003a6f45b28260cf0b25db3de
# Dataset Card for "yannic-w-large" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
osanseviero/yannic-w-large
[ "task_categories:automatic-speech-recognition", "whisper", "whispering", "large", "region:us" ]
2022-11-21T02:55:16+00:00
{"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "null"}, {"name": "URL", "dtype": "null"}, {"name": "TITLE", "dtype": "null"}, {"name": "DESCRIPTION", "dtype": "null"}, {"name": "TRANSCRIPTION", "dtype": "null"}, {"name": "SEGMENTS", "dtype": "null"}, {"name": "__index_level_0__", "dtype": "null"}], "splits": [{"name": "train"}], "download_size": 812, "dataset_size": 0}, "tags": ["whisper", "whispering", "large"]}
2022-11-21T02:55:20+00:00
[]
[]
TAGS #task_categories-automatic-speech-recognition #whisper #whispering #large #region-us
# Dataset Card for "yannic-w-large" More Information needed
[ "# Dataset Card for \"yannic-w-large\"\n\nMore Information needed" ]
[ "TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #large #region-us \n", "# Dataset Card for \"yannic-w-large\"\n\nMore Information needed" ]
e8a1e6ad8f9cfa6af283de61cc3e3beaa38c9b63
# Dataset Card for "yannic_test2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
osanseviero/yannic_test2
[ "task_categories:automatic-speech-recognition", "whisper", "whispering", "large", "region:us" ]
2022-11-21T03:23:00+00:00
{"task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "CHANNEL_NAME", "dtype": "string"}, {"name": "URL", "dtype": "string"}, {"name": "TITLE", "dtype": "string"}, {"name": "DESCRIPTION", "dtype": "string"}, {"name": "TRANSCRIPTION", "dtype": "string"}, {"name": "SEGMENTS", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22634324, "num_examples": 260}], "download_size": 10407175, "dataset_size": 22634324}, "tags": ["whisper", "whispering", "large"]}
2022-11-22T06:54:05+00:00
[]
[]
TAGS #task_categories-automatic-speech-recognition #whisper #whispering #large #region-us
# Dataset Card for "yannic_test2" More Information needed
[ "# Dataset Card for \"yannic_test2\"\n\nMore Information needed" ]
[ "TAGS\n#task_categories-automatic-speech-recognition #whisper #whispering #large #region-us \n", "# Dataset Card for \"yannic_test2\"\n\nMore Information needed" ]
0a80f88ecb8dbae73ef3c8c7893c4bb3244c142b
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-b5257d-2174969943
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:12+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b7", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:28:44+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
a19f83d5ac97ccf20c3af988b6636677b7b4efe3
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069948
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:13+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b7", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:28:44+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
dbb75621cd252fd50effb09730a14f8cd6a2a265
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-b5257d-2174969941
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:13+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:51:38+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
b6719a97ce763a47bc4fd6ac508cc895390f1d5d
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169952
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:13+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-7b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T07:20:12+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
2ad8c45f06c0578deb1feb9a9a019173befa34cc
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169951
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:13+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:33:19+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
ae22cb923e6d3288b5f059d7bfd0ca10db40b023
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-b5257d-2174969945
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:14+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:01:06+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
aab4840d78c43bf642400aa88809dc09ff86f52a
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069946
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:14+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:55:13+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
eb7c5c108505231073ef09d9661066b99a848aee
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069947
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:14+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-7b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T08:24:24+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
00d8d32cd2e78d915cb93452571265a01dca8c31
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-b5257d-2174969944
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:14+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:09:21+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
4f012f14d9a2c0f6930e2fa9b63267cf14264f1a
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069949
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:18+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:08:39+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
023ac3c3e252d345e639ea0e05da4fb9cc82ed03
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-b5257d-2174969942
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:18+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-7b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T08:14:17+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
b3769ebe31b993f074422307636d25c7203e7c35
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169954
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:20+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:01:10+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
ea127bb85aafc69e7799f77e3c5993fe28800528
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069950
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:23+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:06:31+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
d314e754d62f7c2658898ef620b385b117a6dfa2
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169955
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:25+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T04:55:05+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
e37711bd7c977875c6623d33f1f585870c3cc620
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169953
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T04:36:28+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b7", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:16:06+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
b396dee7e48b8e448126be19fabf665e6ca412dd
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-395337-2175269956
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:02:34+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:57:00+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-3b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-3b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
c657d15baf277c48d467f0625f7d33c50d4352ef
# Dataset Card for K-MHaS ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Sample Code <a href="https://colab.research.google.com/drive/171KhS1_LVBtpAFd_kaT8lcrZmhcz5ehY?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="base"/></a> ## Dataset Description - **Homepage:** [K-MHaS](https://github.com/adlnlp/K-MHaS) - **Repository:** [Korean Multi-label Hate Speech Dataset](https://github.com/adlnlp/K-MHaS) - **Paper:** [K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment](https://arxiv.org/abs/2208.10684) - **Point of Contact:** [Caren Han]([email protected]) - **Sample code:** [Colab](https://colab.research.google.com/drive/171KhS1_LVBtpAFd_kaT8lcrZmhcz5ehY?usp=sharing) ### Dataset Summary The Korean Multi-label Hate Speech Dataset, **K-MHaS**, consists of 109,692 utterances from Korean online news comments, labelled with 8 fine-grained hate speech classes (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`) or `Not Hate Speech` class. Each utterance provides from a single to four labels that can handles Korean language patterns effectively. For more details, please refer to our paper about [**K-MHaS**](https://aclanthology.org/2022.coling-1.311), published at COLING 2022. ### Supported Tasks and Leaderboards Hate Speech Detection * `binary classification` (labels: `Hate Speech`, `Not Hate Speech`) * `multi-label classification`: (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`, `Not Hate Speech`) For the multi-label classification, a `Hate Speech` class from the binary classification, is broken down into eight classes, associated with the hate speech category. In order to reflect the social and historical context, we select the eight hate speech classes. For example, the `Politics` class is chosen, due to a significant influence on the style of Korean hate speech. ### Languages Korean ## Dataset Structure ### Data Instances The dataset is provided with train/validation/test set in the txt format. Each instance is a news comment with a corresponding one or more hate speech classes (labels: `Politics`, `Origin`, `Physical`, `Age`, `Gender`, `Religion`, `Race`, `Profanity`) or `Not Hate Speech` class. The label numbers matching in both English and Korean is in the data fields section. ```python {'text':'수꼴틀딱시키들이 다 디져야 나라가 똑바로 될것같다..답이 없는 종자들ㅠ' 'label': [2, 3, 4] } ``` ### Data Fields * `text`: utterance from Korean online news comment. * `label`: the label numbers matching with 8 fine-grained hate speech classes and `not hate speech` class are follows. * `0`: `Origin`(`출신차별`) hate speech based on place of origin or identity; * `1`: `Physical`(`외모차별`) hate speech based on physical appearance (e.g. body, face) or disability; * `2`: `Politics`(`정치성향차별`) hate speech based on political stance; * `3`: `Profanity`(`혐오욕설`) hate speech in the form of swearing, cursing, cussing, obscene words, or expletives; or an unspecified hate speech category; * `4`: `Age`(`연령차별`) hate speech based on age; * `5`: `Gender`(`성차별`) hate speech based on gender or sexual orientation (e.g. woman, homosexual); * `6`: `Race`(`인종차별`) hate speech based on ethnicity; * `7`: `Religion`(`종교차별`) hate speech based on religion; * `8`: `Not Hate Speech`(`해당사항없음`). ### Data Splits In our repository, we provide splitted datasets that have 78,977(train) / 8,776 (validation) / 21,939 (test) samples, preserving the class proportion. ## Dataset Creation ### Curation Rationale We propose K-MHaS, a large size Korean multi-label hate speech detection dataset that represents Korean language patterns effectively. Most datasets in hate speech research are annotated using a single label classification of particular aspects, even though the subjectivity of hate speech cannot be explained with a mutually exclusive annotation scheme. We propose a multi-label hate speech annotation scheme that allows overlapping labels associated with the subjectivity and the intersectionality of hate speech. ### Source Data #### Initial Data Collection and Normalization Our dataset is based on the Korean online news comments available on Kaggle and Github. The unlabeled raw data was collected between January 2018 and June 2020. Please see the details in our paper [K-MHaS](https://aclanthology.org/2022.coling-1.311) published at COLING2020. #### Who are the source language producers? The language producers are users who left the comments on the Korean online news platform between 2018 and 2020. ### Annotations #### Annotation process We begin with the common categories of hate speech found in literature and match the keywords for each category. After the preliminary round, we investigate the results to merge or remove labels in order to provide the most representative subtype labels of hate speech contextual to the cultural background. Our annotation instructions explain a twolayered annotation to (a) distinguish hate and not hate speech, and (b) the categories of hate speech. Annotators are requested to consider given keywords or alternatives of each category within social, cultural, and historical circumstances. For more details, please refer to the paper [K-MHaS](https://aclanthology.org/2022.coling-1.311). #### Who are the annotators? Five native speakers were recruited for manual annotation in both the preliminary and main rounds. ### Personal and Sensitive Information This datasets contains examples of hateful language, however, has no personal information. ## Considerations for Using the Data ### Social Impact of Dataset We propose K-MHaS, a new large-sized dataset for Korean hate speech detection with a multi-label annotation scheme. We provided extensive baseline experiment results, presenting the usability of a dataset to detect Korean language patterns in hate speech. ### Discussion of Biases All annotators were recruited from a crowdsourcing platform. They were informed about hate speech before handling the data. Our instructions allowed them to feel free to leave if they were uncomfortable with the content. With respect to the potential risks, we note that the subjectivity of human annotation would impact on the quality of the dataset. ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators This dataset is curated by Taejun Lim, Heejun Lee and Bogeun Jo. ### Licensing Information Creative Commons Attribution-ShareAlike 4.0 International (cc-by-sa-4.0). ### Citation Information ``` @inproceedings{lee-etal-2022-k, title = "K-{MH}a{S}: A Multi-label Hate Speech Detection Dataset in {K}orean Online News Comment", author = "Lee, Jean and Lim, Taejun and Lee, Heejun and Jo, Bogeun and Kim, Yangsok and Yoon, Heegeun and Han, Soyeon Caren", booktitle = "Proceedings of the 29th International Conference on Computational Linguistics", month = oct, year = "2022", address = "Gyeongju, Republic of Korea", publisher = "International Committee on Computational Linguistics", url = "https://aclanthology.org/2022.coling-1.311", pages = "3530--3538", abstract = "Online hate speech detection has become an important issue due to the growth of online content, but resources in languages other than English are extremely limited. We introduce K-MHaS, a new multi-label dataset for hate speech detection that effectively handles Korean language patterns. The dataset consists of 109k utterances from news comments and provides a multi-label classification using 1 to 4 labels, and handles subjectivity and intersectionality. We evaluate strong baselines on K-MHaS. KR-BERT with a sub-character tokenizer outperforms others, recognizing decomposed characters in each hate speech class.", } ``` ### Contributions The contributors of the work are: - [Jean Lee](https://jeanlee-ai.github.io/) (The University of Sydney) - [Taejun Lim](https://github.com/taezun) (The University of Sydney) - [Heejun Lee](https://bigwaveai.com/) (BigWave AI) - [Bogeun Jo](https://bigwaveai.com/) (BigWave AI) - Yangsok Kim (Keimyung University) - Heegeun Yoon (National Information Society Agency) - [Soyeon Caren Han](https://drcarenhan.github.io/) (The University of Western Australia and The University of Sydney)
jeanlee/kmhas_korean_hate_speech
[ "task_categories:text-classification", "task_ids:multi-label-classification", "task_ids:hate-speech-detection", "annotations_creators:crowdsourced", "language_creators:found", "multilinguality:monolingual", "size_categories:100K<n<1M", "source_datasets:original", "language:ko", "license:cc-by-sa-4.0", "K-MHaS", "Korean NLP", "Hate Speech Detection", "Dataset", "Coling2022", "arxiv:2208.10684", "region:us" ]
2022-11-21T05:03:58+00:00
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["ko"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification", "hate-speech-detection"], "paperswithcode_id": "korean-multi-label-hate-speech-dataset", "pretty_name": "K-MHaS", "tags": ["K-MHaS", "Korean NLP", "Hate Speech Detection", "Dataset", "Coling2022"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "sequence": {"class_label": {"names": {"0": "origin", "1": "physical", "2": "politics", "3": "profanity", "4": "age", "5": "gender", "6": "race", "7": "religion", "8": "not_hate_speech"}}}}], "splits": [{"name": "train", "num_bytes": 6845463, "num_examples": 78977}, {"name": "validation", "num_bytes": 748899, "num_examples": 8776}, {"name": "test", "num_bytes": 1902352, "num_examples": 21939}], "download_size": 9496714, "dataset_size": 109692}}
2022-11-28T16:26:56+00:00
[ "2208.10684" ]
[ "ko" ]
TAGS #task_categories-text-classification #task_ids-multi-label-classification #task_ids-hate-speech-detection #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Korean #license-cc-by-sa-4.0 #K-MHaS #Korean NLP #Hate Speech Detection #Dataset #Coling2022 #arxiv-2208.10684 #region-us
# Dataset Card for K-MHaS ## Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions ## Sample Code <a href="URL src="URL alt="base"/></a> ## Dataset Description - Homepage: K-MHaS - Repository: Korean Multi-label Hate Speech Dataset - Paper: K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment - Point of Contact: Caren Han - Sample code: Colab ### Dataset Summary The Korean Multi-label Hate Speech Dataset, K-MHaS, consists of 109,692 utterances from Korean online news comments, labelled with 8 fine-grained hate speech classes (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity') or 'Not Hate Speech' class. Each utterance provides from a single to four labels that can handles Korean language patterns effectively. For more details, please refer to our paper about K-MHaS, published at COLING 2022. ### Supported Tasks and Leaderboards Hate Speech Detection * 'binary classification' (labels: 'Hate Speech', 'Not Hate Speech') * 'multi-label classification': (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity', 'Not Hate Speech') For the multi-label classification, a 'Hate Speech' class from the binary classification, is broken down into eight classes, associated with the hate speech category. In order to reflect the social and historical context, we select the eight hate speech classes. For example, the 'Politics' class is chosen, due to a significant influence on the style of Korean hate speech. ### Languages Korean ## Dataset Structure ### Data Instances The dataset is provided with train/validation/test set in the txt format. Each instance is a news comment with a corresponding one or more hate speech classes (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity') or 'Not Hate Speech' class. The label numbers matching in both English and Korean is in the data fields section. ### Data Fields * 'text': utterance from Korean online news comment. * 'label': the label numbers matching with 8 fine-grained hate speech classes and 'not hate speech' class are follows. * '0': 'Origin'('출신차별') hate speech based on place of origin or identity; * '1': 'Physical'('외모차별') hate speech based on physical appearance (e.g. body, face) or disability; * '2': 'Politics'('정치성향차별') hate speech based on political stance; * '3': 'Profanity'('혐오욕설') hate speech in the form of swearing, cursing, cussing, obscene words, or expletives; or an unspecified hate speech category; * '4': 'Age'('연령차별') hate speech based on age; * '5': 'Gender'('성차별') hate speech based on gender or sexual orientation (e.g. woman, homosexual); * '6': 'Race'('인종차별') hate speech based on ethnicity; * '7': 'Religion'('종교차별') hate speech based on religion; * '8': 'Not Hate Speech'('해당사항없음'). ### Data Splits In our repository, we provide splitted datasets that have 78,977(train) / 8,776 (validation) / 21,939 (test) samples, preserving the class proportion. ## Dataset Creation ### Curation Rationale We propose K-MHaS, a large size Korean multi-label hate speech detection dataset that represents Korean language patterns effectively. Most datasets in hate speech research are annotated using a single label classification of particular aspects, even though the subjectivity of hate speech cannot be explained with a mutually exclusive annotation scheme. We propose a multi-label hate speech annotation scheme that allows overlapping labels associated with the subjectivity and the intersectionality of hate speech. ### Source Data #### Initial Data Collection and Normalization Our dataset is based on the Korean online news comments available on Kaggle and Github. The unlabeled raw data was collected between January 2018 and June 2020. Please see the details in our paper K-MHaS published at COLING2020. #### Who are the source language producers? The language producers are users who left the comments on the Korean online news platform between 2018 and 2020. ### Annotations #### Annotation process We begin with the common categories of hate speech found in literature and match the keywords for each category. After the preliminary round, we investigate the results to merge or remove labels in order to provide the most representative subtype labels of hate speech contextual to the cultural background. Our annotation instructions explain a twolayered annotation to (a) distinguish hate and not hate speech, and (b) the categories of hate speech. Annotators are requested to consider given keywords or alternatives of each category within social, cultural, and historical circumstances. For more details, please refer to the paper K-MHaS. #### Who are the annotators? Five native speakers were recruited for manual annotation in both the preliminary and main rounds. ### Personal and Sensitive Information This datasets contains examples of hateful language, however, has no personal information. ## Considerations for Using the Data ### Social Impact of Dataset We propose K-MHaS, a new large-sized dataset for Korean hate speech detection with a multi-label annotation scheme. We provided extensive baseline experiment results, presenting the usability of a dataset to detect Korean language patterns in hate speech. ### Discussion of Biases All annotators were recruited from a crowdsourcing platform. They were informed about hate speech before handling the data. Our instructions allowed them to feel free to leave if they were uncomfortable with the content. With respect to the potential risks, we note that the subjectivity of human annotation would impact on the quality of the dataset. ### Other Known Limitations ## Additional Information ### Dataset Curators This dataset is curated by Taejun Lim, Heejun Lee and Bogeun Jo. ### Licensing Information Creative Commons Attribution-ShareAlike 4.0 International (cc-by-sa-4.0). ### Contributions The contributors of the work are: - Jean Lee (The University of Sydney) - Taejun Lim (The University of Sydney) - Heejun Lee (BigWave AI) - Bogeun Jo (BigWave AI) - Yangsok Kim (Keimyung University) - Heegeun Yoon (National Information Society Agency) - Soyeon Caren Han (The University of Western Australia and The University of Sydney)
[ "# Dataset Card for K-MHaS", "## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Sample Code\n<a href=\"URL src=\"URL alt=\"base\"/></a>", "## Dataset Description\n\n- Homepage: K-MHaS\n- Repository: Korean Multi-label Hate Speech Dataset\n- Paper: K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment\n- Point of Contact: Caren Han\n- Sample code: Colab", "### Dataset Summary\n\nThe Korean Multi-label Hate Speech Dataset, K-MHaS, consists of 109,692 utterances from Korean online news comments, labelled with 8 fine-grained hate speech classes (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity') or 'Not Hate Speech' class. Each utterance provides from a single to four labels that can handles Korean language patterns effectively. For more details, please refer to our paper about K-MHaS, published at COLING 2022.", "### Supported Tasks and Leaderboards\nHate Speech Detection\n\n* 'binary classification' (labels: 'Hate Speech', 'Not Hate Speech')\n* 'multi-label classification': (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity', 'Not Hate Speech')\n\nFor the multi-label classification, a 'Hate Speech' class from the binary classification, is broken down into eight classes, associated with the hate speech category. In order to reflect the social and historical context, we select the eight hate speech classes. For example, the 'Politics' class is chosen, due to a significant influence on the style of Korean hate speech.", "### Languages\n\nKorean", "## Dataset Structure", "### Data Instances\n\nThe dataset is provided with train/validation/test set in the txt format. Each instance is a news comment with a corresponding one or more hate speech classes (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity') or 'Not Hate Speech' class. The label numbers matching in both English and Korean is in the data fields section.", "### Data Fields\n\n* 'text': utterance from Korean online news comment.\n* 'label': the label numbers matching with 8 fine-grained hate speech classes and 'not hate speech' class are follows.\n * '0': 'Origin'('출신차별') hate speech based on place of origin or identity;\n * '1': 'Physical'('외모차별') hate speech based on physical appearance (e.g. body, face) or disability;\n * '2': 'Politics'('정치성향차별') hate speech based on political stance;\n * '3': 'Profanity'('혐오욕설') hate speech in the form of swearing, cursing, cussing, obscene words, or expletives; or an unspecified hate speech category;\n * '4': 'Age'('연령차별') hate speech based on age;\n * '5': 'Gender'('성차별') hate speech based on gender or sexual orientation (e.g. woman, homosexual);\n * '6': 'Race'('인종차별') hate speech based on ethnicity;\n * '7': 'Religion'('종교차별') hate speech based on religion;\n * '8': 'Not Hate Speech'('해당사항없음').", "### Data Splits\n\nIn our repository, we provide splitted datasets that have 78,977(train) / 8,776 (validation) / 21,939 (test) samples, preserving the class proportion.", "## Dataset Creation", "### Curation Rationale\n\nWe propose K-MHaS, a large size Korean multi-label hate speech detection dataset that represents Korean language patterns effectively. Most datasets in hate speech research are annotated using a single label classification of particular aspects, even though the subjectivity of hate speech cannot be explained with a mutually exclusive annotation scheme. We propose a multi-label hate speech annotation scheme that allows overlapping labels associated with the subjectivity and the intersectionality of hate speech.", "### Source Data", "#### Initial Data Collection and Normalization\n\nOur dataset is based on the Korean online news comments available on Kaggle and Github. The unlabeled raw data was collected between January 2018 and June 2020. Please see the details in our paper K-MHaS published at COLING2020.", "#### Who are the source language producers?\n\nThe language producers are users who left the comments on the Korean online news platform between 2018 and 2020.", "### Annotations", "#### Annotation process\n\nWe begin with the common categories of hate speech found in literature and match the keywords for each category. After the preliminary round, we investigate the results to merge or remove labels in order to provide the most representative subtype labels of hate speech contextual to the cultural background. Our annotation instructions explain a twolayered annotation to (a) distinguish hate and not hate speech, and (b) the categories of hate speech. Annotators are requested to consider given keywords or alternatives of each category within social, cultural, and historical circumstances. For more details, please refer to the paper K-MHaS.", "#### Who are the annotators?\n\nFive native speakers were recruited for manual annotation in both the preliminary and main rounds.", "### Personal and Sensitive Information\n\nThis datasets contains examples of hateful language, however, has no personal information.", "## Considerations for Using the Data", "### Social Impact of Dataset\n\nWe propose K-MHaS, a new large-sized dataset for Korean hate speech detection with a multi-label annotation scheme. We provided extensive baseline experiment results, presenting the usability of a dataset to detect Korean language patterns in hate speech.", "### Discussion of Biases\n\nAll annotators were recruited from a crowdsourcing platform. They were informed about hate speech before handling the data. Our instructions allowed them to feel free to leave if they were uncomfortable with the content. With respect to the potential risks, we note that the subjectivity of human annotation would impact on the quality of the dataset.", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThis dataset is curated by Taejun Lim, Heejun Lee and Bogeun Jo.", "### Licensing Information\n\nCreative Commons Attribution-ShareAlike 4.0 International (cc-by-sa-4.0).", "### Contributions\nThe contributors of the work are: \n- Jean Lee (The University of Sydney)\n- Taejun Lim (The University of Sydney)\n- Heejun Lee (BigWave AI)\n- Bogeun Jo (BigWave AI)\n- Yangsok Kim (Keimyung University)\n- Heegeun Yoon (National Information Society Agency)\n- Soyeon Caren Han (The University of Western Australia and The University of Sydney)" ]
[ "TAGS\n#task_categories-text-classification #task_ids-multi-label-classification #task_ids-hate-speech-detection #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Korean #license-cc-by-sa-4.0 #K-MHaS #Korean NLP #Hate Speech Detection #Dataset #Coling2022 #arxiv-2208.10684 #region-us \n", "# Dataset Card for K-MHaS", "## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Sample Code\n<a href=\"URL src=\"URL alt=\"base\"/></a>", "## Dataset Description\n\n- Homepage: K-MHaS\n- Repository: Korean Multi-label Hate Speech Dataset\n- Paper: K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment\n- Point of Contact: Caren Han\n- Sample code: Colab", "### Dataset Summary\n\nThe Korean Multi-label Hate Speech Dataset, K-MHaS, consists of 109,692 utterances from Korean online news comments, labelled with 8 fine-grained hate speech classes (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity') or 'Not Hate Speech' class. Each utterance provides from a single to four labels that can handles Korean language patterns effectively. For more details, please refer to our paper about K-MHaS, published at COLING 2022.", "### Supported Tasks and Leaderboards\nHate Speech Detection\n\n* 'binary classification' (labels: 'Hate Speech', 'Not Hate Speech')\n* 'multi-label classification': (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity', 'Not Hate Speech')\n\nFor the multi-label classification, a 'Hate Speech' class from the binary classification, is broken down into eight classes, associated with the hate speech category. In order to reflect the social and historical context, we select the eight hate speech classes. For example, the 'Politics' class is chosen, due to a significant influence on the style of Korean hate speech.", "### Languages\n\nKorean", "## Dataset Structure", "### Data Instances\n\nThe dataset is provided with train/validation/test set in the txt format. Each instance is a news comment with a corresponding one or more hate speech classes (labels: 'Politics', 'Origin', 'Physical', 'Age', 'Gender', 'Religion', 'Race', 'Profanity') or 'Not Hate Speech' class. The label numbers matching in both English and Korean is in the data fields section.", "### Data Fields\n\n* 'text': utterance from Korean online news comment.\n* 'label': the label numbers matching with 8 fine-grained hate speech classes and 'not hate speech' class are follows.\n * '0': 'Origin'('출신차별') hate speech based on place of origin or identity;\n * '1': 'Physical'('외모차별') hate speech based on physical appearance (e.g. body, face) or disability;\n * '2': 'Politics'('정치성향차별') hate speech based on political stance;\n * '3': 'Profanity'('혐오욕설') hate speech in the form of swearing, cursing, cussing, obscene words, or expletives; or an unspecified hate speech category;\n * '4': 'Age'('연령차별') hate speech based on age;\n * '5': 'Gender'('성차별') hate speech based on gender or sexual orientation (e.g. woman, homosexual);\n * '6': 'Race'('인종차별') hate speech based on ethnicity;\n * '7': 'Religion'('종교차별') hate speech based on religion;\n * '8': 'Not Hate Speech'('해당사항없음').", "### Data Splits\n\nIn our repository, we provide splitted datasets that have 78,977(train) / 8,776 (validation) / 21,939 (test) samples, preserving the class proportion.", "## Dataset Creation", "### Curation Rationale\n\nWe propose K-MHaS, a large size Korean multi-label hate speech detection dataset that represents Korean language patterns effectively. Most datasets in hate speech research are annotated using a single label classification of particular aspects, even though the subjectivity of hate speech cannot be explained with a mutually exclusive annotation scheme. We propose a multi-label hate speech annotation scheme that allows overlapping labels associated with the subjectivity and the intersectionality of hate speech.", "### Source Data", "#### Initial Data Collection and Normalization\n\nOur dataset is based on the Korean online news comments available on Kaggle and Github. The unlabeled raw data was collected between January 2018 and June 2020. Please see the details in our paper K-MHaS published at COLING2020.", "#### Who are the source language producers?\n\nThe language producers are users who left the comments on the Korean online news platform between 2018 and 2020.", "### Annotations", "#### Annotation process\n\nWe begin with the common categories of hate speech found in literature and match the keywords for each category. After the preliminary round, we investigate the results to merge or remove labels in order to provide the most representative subtype labels of hate speech contextual to the cultural background. Our annotation instructions explain a twolayered annotation to (a) distinguish hate and not hate speech, and (b) the categories of hate speech. Annotators are requested to consider given keywords or alternatives of each category within social, cultural, and historical circumstances. For more details, please refer to the paper K-MHaS.", "#### Who are the annotators?\n\nFive native speakers were recruited for manual annotation in both the preliminary and main rounds.", "### Personal and Sensitive Information\n\nThis datasets contains examples of hateful language, however, has no personal information.", "## Considerations for Using the Data", "### Social Impact of Dataset\n\nWe propose K-MHaS, a new large-sized dataset for Korean hate speech detection with a multi-label annotation scheme. We provided extensive baseline experiment results, presenting the usability of a dataset to detect Korean language patterns in hate speech.", "### Discussion of Biases\n\nAll annotators were recruited from a crowdsourcing platform. They were informed about hate speech before handling the data. Our instructions allowed them to feel free to leave if they were uncomfortable with the content. With respect to the potential risks, we note that the subjectivity of human annotation would impact on the quality of the dataset.", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThis dataset is curated by Taejun Lim, Heejun Lee and Bogeun Jo.", "### Licensing Information\n\nCreative Commons Attribution-ShareAlike 4.0 International (cc-by-sa-4.0).", "### Contributions\nThe contributors of the work are: \n- Jean Lee (The University of Sydney)\n- Taejun Lim (The University of Sydney)\n- Heejun Lee (BigWave AI)\n- Bogeun Jo (BigWave AI)\n- Yangsok Kim (Keimyung University)\n- Heegeun Yoon (National Information Society Agency)\n- Soyeon Caren Han (The University of Western Australia and The University of Sydney)" ]
e2764ebad2f0895686750be9bb6a1d32512da285
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-395337-2175269957
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:08:33+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-7b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T07:46:38+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-7b1 * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-7b1\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
99c8e6aa83a7894662f20d54944f494f8d6ceaec
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-395337-2175269958
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:08:33+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b7", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:48:24+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b7 * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b7\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
2ccc476e05d671b79bd1e165b7df9227d6424577
# Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
DTU54DL/common-voice-test3k
[ "task_categories:token-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:mit", "region:us" ]
2022-11-21T05:09:36+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["token-classification-other-acronym-identification"], "paperswithcode_id": "acronym-identification", "pretty_name": "Acronym Identification Dataset", "train-eval-index": [{"col_mapping": {"labels": "tags", "tokens": "tokens"}, "config": "default", "splits": {"eval_split": "test"}, "task": "token-classification", "task_id": "entity_extraction"}]}
2022-11-21T05:14:11+00:00
[]
[ "en" ]
TAGS #task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us
# Dataset Card for [Dataset Name] ## Table of Contents - Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions Thanks to @github-username for adding this dataset.
[ "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
[ "TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us \n", "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
fbe6fd6d1dbc51d943c2ee6f81494697e6676399
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-395337-2175269959
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:14:05+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-1b1", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:38:51+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-1b1 * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-1b1\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
02e417b42b37767924bec8bfb1ead5e2fc431e15
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-395337-2175269960
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:14:39+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "bigscience/bloom-560m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T05:39:13+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: bigscience/bloom-560m * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: bigscience/bloom-560m\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
ca2f705536a3b60346bc2504657ceb944d5731a3
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469961
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:15:27+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-22T06:28:46+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
b93b4778189797b5b0df55bf722f61ecab05bd29
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469962
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:23:15+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T16:33:23+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
50a0af95c64759498e32f301b74c994d61229ba4
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469963
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:36:27+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-13b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T10:17:39+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
fd97c8db83aaa212343d4e641cc4609611c35123
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469964
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:36:30+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-6.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T08:41:48+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
2249d362ae1ddee0d79dfd142e0b836ef18f80d6
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469965
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:41:21+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-350m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T06:02:48+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
6954fce5b80d439d171b0d3c07c9a259e237b602
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469967
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:45:21+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-1.3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T06:30:14+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
dab7570afff31fa06b62eb215bc313281d167346
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469966
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:45:21+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-2.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T06:52:57+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
d91aa73ca834a4fa513c500681c7daa9f5cae6bb
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469968
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:55:48+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-125m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T06:06:13+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: top_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: top_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
62c464aacf3b578cb9f8e7e270f352c8ec2d4e4e
# Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
DTU54DL/common-train-3k
[ "task_categories:token-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:mit", "region:us" ]
2022-11-21T05:58:02+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["token-classification-other-acronym-identification"], "paperswithcode_id": "acronym-identification", "pretty_name": "Acronym Identification Dataset", "train-eval-index": [{"col_mapping": {"labels": "tags", "tokens": "tokens"}, "config": "default", "splits": {"eval_split": "test"}, "task": "token-classification", "task_id": "entity_extraction"}]}
2022-11-21T06:16:54+00:00
[]
[ "en" ]
TAGS #task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us
# Dataset Card for [Dataset Name] ## Table of Contents - Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions Thanks to @github-username for adding this dataset.
[ "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
[ "TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us \n", "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
94b45268f8e909751b05fd0d72b0fea941556d02
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569969
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T05:58:43+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-22T12:19:01+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
04e9e802e46376553ce2831908cb596ce07dc0e6
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569970
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T06:03:07+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T19:57:40+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
5aea7c9c198cbf6c17354ddfadaf8d425b502599
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569971
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T06:03:29+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-13b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T11:48:55+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
4eb87d26e980987d559b87160856baa11109f0dd
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569972
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T06:09:45+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-6.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T09:24:28+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
d951046ca4dc26d79cb0795a2e77b031d51406ab
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569973
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T06:13:14+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-350m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T06:24:47+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
faf2a3209e88598962a44ec90d231f1c80ccb940
# Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
DTU54DL/common3k-train
[ "task_categories:token-classification", "annotations_creators:expert-generated", "language_creators:found", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:en", "license:mit", "region:us" ]
2022-11-21T06:18:09+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["token-classification-other-acronym-identification"], "paperswithcode_id": "acronym-identification", "pretty_name": "Acronym Identification Dataset", "train-eval-index": [{"col_mapping": {"labels": "tags", "tokens": "tokens"}, "config": "default", "splits": {"eval_split": "test"}, "task": "token-classification", "task_id": "entity_extraction"}]}
2022-11-21T06:29:04+00:00
[]
[ "en" ]
TAGS #task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us
# Dataset Card for [Dataset Name] ## Table of Contents - Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions Thanks to @github-username for adding this dataset.
[ "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
[ "TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us \n", "# Dataset Card for [Dataset Name]", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]
dd11ad0beab677041f45bec373c053d6cd9107ea
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569974
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T06:32:43+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-2.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T07:33:13+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
726435adf1bc22e101cf621126d45450d7802ed7
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569975
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T06:37:55+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-1.3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T07:12:40+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
5d35434e76378b4733abb84952bcdef1db149a5f
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569976
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T07:00:49+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-125m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "top_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T07:06:54+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: top_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: top_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
ff8caca1c9d644e6068212df575de08ab5ae4535
# Dataset Card for "msp_train_hubert_large" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
dlproject/msp_train_hubert_large
[ "region:us" ]
2022-11-21T07:08:21+00:00
{"dataset_info": {"features": [{"name": "input_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "attention_mask", "sequence": {"sequence": "int32"}}, {"name": "labels", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 10873164220, "num_examples": 29939}], "download_size": 9851610543, "dataset_size": 10873164220}}
2022-11-21T07:13:29+00:00
[]
[]
TAGS #region-us
# Dataset Card for "msp_train_hubert_large" More Information needed
[ "# Dataset Card for \"msp_train_hubert_large\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"msp_train_hubert_large\"\n\nMore Information needed" ]
4ab533d071876e1c72b216346b067ef847213336
# Dataset Card for "msp_val_hubert_large" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
dlproject/msp_val_hubert_large
[ "region:us" ]
2022-11-21T07:13:29+00:00
{"dataset_info": {"features": [{"name": "input_values", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "attention_mask", "sequence": {"sequence": "int32"}}, {"name": "labels", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1895911184, "num_examples": 5213}], "download_size": 1773617134, "dataset_size": 1895911184}}
2022-11-21T07:14:35+00:00
[]
[]
TAGS #region-us
# Dataset Card for "msp_val_hubert_large" More Information needed
[ "# Dataset Card for \"msp_val_hubert_large\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"msp_val_hubert_large\"\n\nMore Information needed" ]
2585c70adc22318cb43e027e6010adb3bf7e2d57
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669977
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T07:15:24+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-22T02:38:23+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
c8044476b3337c8c35a9f1c9343c843125a1577c
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669978
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T07:20:53+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T15:42:35+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
e5b2a640e1c97c48eaa06653a5e2db825ea346b8
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669979
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T07:28:15+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-13b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T11:06:18+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
fa1c5303e1a07cb34b30343c69321b0d2429da5d
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669980
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T07:40:54+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-6.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T09:56:56+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
a094e286b1457c23adba95cbfc1f4d1a6b50ef4a
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-90bfb636-8600-4a27-9171-c297c5e7f496-3331
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T07:46:57+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T07:47:36+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
75adebf2c84ae40483403b596606a37ac2a32cef
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669981
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T07:54:36+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-350m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T08:09:55+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
b105b430df1564b8bdc5ac6177d9c6a3b5975cc7
# Dataset Card for "hewiki-20220901-articles-dataset"
Norod78/hewiki-20220901-articles-dataset
[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:other", "language_creators:other", "multilinguality:monolingual", "size_categories:100M<n<1B", "source_datasets:extended|wikipedia", "language:he", "he-wiki", "region:us" ]
2022-11-21T08:10:15+00:00
{"annotations_creators": ["other"], "language_creators": ["other"], "language": ["he"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<1B"], "source_datasets": ["extended|wikipedia"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_name": "hewiki Corpus from hewiki-20220901-pages-articles-multistream.xml.bz2", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1458031124, "num_examples": 4325836}], "download_size": 745537027, "dataset_size": 1458031124}, "tags": ["he-wiki"]}
2022-11-22T10:57:40+00:00
[]
[ "he" ]
TAGS #task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-100M<n<1B #source_datasets-extended|wikipedia #language-Hebrew #he-wiki #region-us
# Dataset Card for "hewiki-20220901-articles-dataset"
[ "# Dataset Card for \"hewiki-20220901-articles-dataset\"" ]
[ "TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-100M<n<1B #source_datasets-extended|wikipedia #language-Hebrew #he-wiki #region-us \n", "# Dataset Card for \"hewiki-20220901-articles-dataset\"" ]
35871bc78c1b18b0daddb4755de6958b74e5e7e3
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669982
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T08:18:25+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-2.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T09:11:01+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
947acb9c2813ba049626c04c763d3cdd33d323aa
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669983
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T08:22:39+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-1.3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T08:57:24+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
6db038e924e20d99a5e54609f8a6ea9102acd71c
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669984
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T08:32:13+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-125m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_vi", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T08:40:18+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: sen_vi * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: sen_vi\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
109e53ccded0e0d4f99a9368e979fee941e0ba56
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769986
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T08:48:29+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-30b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T17:11:57+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-30b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-30b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
e18322fdf0714ab7a56a1425d11b6abecfcb6967
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769985
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T08:48:30+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-66b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-22T03:31:20+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-66b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-66b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
ee40c02a4c1a8ba4628c02c42666ff9c257040ed
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769987
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T09:05:34+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-13b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T12:43:31+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-13b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-13b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
e1c59067e2deae56f90c00caed6af3da7bae44e8
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769988
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T09:19:19+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-6.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T11:32:30+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-6.7b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-6.7b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
dfa01f6bbb4a9aebec5d0ba15d2c3966bb7d596d
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769989
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T09:32:41+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-350m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T09:42:14+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-350m * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-350m\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
caf2b0bc2acce6c4d715b9eb3b7f3d9dc74ddd32
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769990
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T09:50:16+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-2.7b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T10:30:32+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-2.7b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-2.7b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
3f192f10d4c478b765cf9ce88bdac32f27b39292
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769991
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T10:04:58+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-1.3b", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T10:32:30+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-1.3b * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-1.3b\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
7fdd4bcbede3df8b0c9c66415587c49c6b4d4aaf
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-977d15c2-b4b7-4875-aee0-490ae596d0f4-3432
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T10:15:43+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T10:16:21+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
ce04a3c58735371bebf755f27f3677572f47eed4
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-6a3804e2-ad4c-48af-8aa6-4620beed26ac-3533
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T10:18:27+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T10:19:04+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
a54c63330c72c77324fccfb9b9fe9a86bcba95cf
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@futin](https://huggingface.co/futin) for evaluating this model.
autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769992
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T10:25:57+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["futin/feed"], "eval_info": {"task": "text_zero_shot_classification", "model": "facebook/opt-125m", "metrics": [], "dataset_name": "futin/feed", "dataset_config": "sen_en", "dataset_split": "test", "col_mapping": {"text": "text", "classes": "classes", "target": "target"}}}
2022-11-21T10:30:40+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Zero-Shot Text Classification * Model: facebook/opt-125m * Dataset: futin/feed * Config: sen_en * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @futin for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Zero-Shot Text Classification\n* Model: facebook/opt-125m\n* Dataset: futin/feed\n* Config: sen_en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @futin for evaluating this model." ]
b7395a5d6dc7c2de75b8ba5b657ec80ea1b63922
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-50a56796-db2d-4349-bf75-388efb52b967-3634
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T10:33:29+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T10:34:05+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
29e2b696c2d114e1f818d7565460513d1ddfd783
# Dataset Card for "test_push_default" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
polinaeterna/test_push_default
[ "region:us" ]
2022-11-21T10:40:26+00:00
{"dataset_info": [{"features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 74, "num_examples": 5}, {"name": "test", "num_bytes": 88, "num_examples": 6}], "download_size": 854, "dataset_size": 162}, {"config_name": "v3", "features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 74, "num_examples": 5}, {"name": "test", "num_bytes": 88, "num_examples": 6}], "download_size": 0, "dataset_size": 162}]}
2022-11-21T11:05:37+00:00
[]
[]
TAGS #region-us
# Dataset Card for "test_push_default" More Information needed
[ "# Dataset Card for \"test_push_default\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"test_push_default\"\n\nMore Information needed" ]
fd12239c2aee5a9e78a5331acded8fcc133a63c1
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-48057538-ec1b-4e18-ac2b-35070fb8202e-3735
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T10:44:49+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T10:45:25+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
2f9ef1050de57018488761533ba79a92eab48c12
# Dataset Card for MT-GenEval ## Table of Contents - [Dataset Card for MT-GenEval](#dataset-card-for-mt-geneval) - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Machine Translation](#machine-translation) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - **Repository:** [Github](https://github.com/amazon-science/machine-translation-gender-eval) - **Paper:** [EMNLP 2022](https://arxiv.org/abs/2211.01355) - **Point of Contact:** [Anna Currey](mailto:[email protected]) ### Dataset Summary The MT-GenEval benchmark evaluates gender translation accuracy on English -> {Arabic, French, German, Hindi, Italian, Portuguese, Russian, Spanish}. The dataset contains individual sentences with annotations on the gendered target words, and contrastive original-invertend translations with additional preceding context. **Disclaimer**: *The MT-GenEval benchmark was released in the EMNLP 2022 paper [MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation](https://arxiv.org/abs/2211.01355) by Anna Currey, Maria Nadejde, Raghavendra Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, and Georgiana Dinu and is hosted through Github by the [Amazon Science](https://github.com/amazon-science?type=source) organization. The dataset is licensed under a [Creative Commons Attribution-ShareAlike 3.0 Unported License](https://creativecommons.org/licenses/by-sa/3.0/).* ### Supported Tasks and Leaderboards #### Machine Translation Refer to the [original paper](https://arxiv.org/abs/2211.01355) for additional details on gender accuracy evaluation with MT-GenEval. ### Languages The dataset contains source English sentences extracted from Wikipedia translated into the following languages: Arabic (`ar`), French (`fr`), German (`de`), Hindi (`hi`), Italian (`it`), Portuguese (`pt`), Russian (`ru`), and Spanish (`es`). ## Dataset Structure ### Data Instances The dataset contains two configuration types, `sentences` and `context`, mirroring the original repository structure, with source and target language specified in the configuration name (e.g. `sentences_en_ar`, `context_en_it`) The `sentences` configurations contains masculine and feminine versions of individual sentences with gendered word annotations. Here is an example entry of the `sentences_en_it` split (all `sentences_en_XX` splits have the same structure): ```json { { "orig_id": 0, "source_feminine": "Pagratidis quickly recanted her confession, claiming she was psychologically pressured and beaten, and until the moment of her execution, she remained firm in her innocence.", "reference_feminine": "Pagratidis subito ritrattò la sua confessione, affermando che era aveva subito pressioni psicologiche e era stata picchiata, e fino al momento della sua esecuzione, rimase ferma sulla sua innocenza.", "source_masculine": "Pagratidis quickly recanted his confession, claiming he was psychologically pressured and beaten, and until the moment of his execution, he remained firm in his innocence.", "reference_masculine": "Pagratidis subito ritrattò la sua confessione, affermando che era aveva subito pressioni psicologiche e era stato picchiato, e fino al momento della sua esecuzione, rimase fermo sulla sua innocenza.", "source_feminine_annotated": "Pagratidis quickly recanted <F>her</F> confession, claiming <F>she</F> was psychologically pressured and beaten, and until the moment of <F>her</F> execution, <F>she</F> remained firm in <F>her</F> innocence.", "reference_feminine_annotated": "Pagratidis subito ritrattò la sua confessione, affermando che era aveva subito pressioni psicologiche e era <F>stata picchiata</F>, e fino al momento della sua esecuzione, rimase <F>ferma</F> sulla sua innocenza.", "source_masculine_annotated": "Pagratidis quickly recanted <M>his</M> confession, claiming <M>he</M> was psychologically pressured and beaten, and until the moment of <M>his</M> execution, <M>he</M> remained firm in <M>his</M> innocence.", "reference_masculine_annotated": "Pagratidis subito ritrattò la sua confessione, affermando che era aveva subito pressioni psicologiche e era <M>stato picchiato</M>, e fino al momento della sua esecuzione, rimase <M>fermo</M> sulla sua innocenza.", "source_feminine_keywords": "her;she;her;she;her", "reference_feminine_keywords": "stata picchiata;ferma", "source_masculine_keywords": "his;he;his;he;his", "reference_masculine_keywords": "stato picchiato;fermo", } } ``` The `context` configuration contains instead different English sources related to stereotypical professional roles with additional preceding context and contrastive original-inverted translations. Here is an example entry of the `context_en_it` split (all `context_en_XX` splits have the same structure): ```json { "orig_id": 0, "context": "Pierpont told of entering and holding up the bank and then fleeing to Fort Wayne, where the loot was divided between him and three others.", "source": "However, Pierpont stated that Skeer was the planner of the robbery.", "reference_original": "Comunque, Pierpont disse che Skeer era il pianificatore della rapina.", "reference_flipped": "Comunque, Pierpont disse che Skeer era la pianificatrice della rapina." } ``` ### Data Splits All `sentences_en_XX` configurations have 1200 examples in the `train` split and 300 in the `test` split. For the `context_en_XX` configurations, the number of example depends on the language pair: | Configuration | # Train | # Test | | :-----------: | :--------: | :-----: | | `context_en_ar` | 792 | 1100 | | `context_en_fr` | 477 | 1099 | | `context_en_de` | 598 | 1100 | | `context_en_hi` | 397 | 1098 | | `context_en_it` | 465 | 1904 | | `context_en_pt` | 574 | 1089 | | `context_en_ru` | 583 | 1100 | | `context_en_es` | 534 | 1096 | ### Dataset Creation From the original paper: >In developing MT-GenEval, our goal was to create a realistic, gender-balanced dataset that naturally incorporates a diverse range of gender phenomena. To this end, we extracted English source sentences from Wikipedia as the basis for our dataset. We automatically pre-selected relevant sentences using EN gender-referring words based on the list provided by [Zhao et al. (2018)](https://doi.org/10.18653/v1/N18-2003). Please refer to the original article [MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation](https://arxiv.org/abs/2211.01355) for additional information on dataset creation. ## Additional Information ### Dataset Curators The original authors of MT-GenEval are the curators of the original dataset. For problems or updates on this 🤗 Datasets version, please contact [[email protected]](mailto:[email protected]). ### Licensing Information The dataset is licensed under the [Creative Commons Attribution-ShareAlike 3.0 International License](https://creativecommons.org/licenses/by-sa/3.0/). ### Citation Information Please cite the authors if you use these corpora in your work. ```bibtex @inproceedings{currey-etal-2022-mtgeneval, title = "{MT-GenEval}: {A} Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation", author = "Currey, Anna and Nadejde, Maria and Pappagari, Raghavendra and Mayer, Mia and Lauly, Stanislas, and Niu, Xing and Hsu, Benjamin and Dinu, Georgiana", booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing", month = dec, year = "2022", publisher = "Association for Computational Linguistics", url = "https://arxiv.org/abs/2211.01355", } ```
gsarti/mt_geneval
[ "task_categories:translation", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:translation", "size_categories:1K<n<10K", "source_datasets:original", "language:en", "language:it", "language:fr", "language:ar", "language:de", "language:hi", "language:pt", "language:ru", "language:es", "license:cc-by-sa-3.0", "gender", "constrained mt", "arxiv:2211.01355", "region:us" ]
2022-11-21T10:50:15+00:00
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en", "it", "fr", "ar", "de", "hi", "pt", "ru", "es"], "license": ["cc-by-sa-3.0"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "mt_geneval", "tags": ["gender", "constrained mt"]}
2022-11-21T14:52:09+00:00
[ "2211.01355" ]
[ "en", "it", "fr", "ar", "de", "hi", "pt", "ru", "es" ]
TAGS #task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-translation #size_categories-1K<n<10K #source_datasets-original #language-English #language-Italian #language-French #language-Arabic #language-German #language-Hindi #language-Portuguese #language-Russian #language-Spanish #license-cc-by-sa-3.0 #gender #constrained mt #arxiv-2211.01355 #region-us
Dataset Card for MT-GenEval =========================== Table of Contents ----------------- * Dataset Card for MT-GenEval + Table of Contents + Dataset Description - Dataset Summary - Supported Tasks and Leaderboards * Machine Translation - Languages + Dataset Structure - Data Instances - Data Splits - Dataset Creation + Additional Information - Dataset Curators - Licensing Information - Citation Information Dataset Description ------------------- * Repository: Github * Paper: EMNLP 2022 * Point of Contact: Anna Currey ### Dataset Summary The MT-GenEval benchmark evaluates gender translation accuracy on English -> {Arabic, French, German, Hindi, Italian, Portuguese, Russian, Spanish}. The dataset contains individual sentences with annotations on the gendered target words, and contrastive original-invertend translations with additional preceding context. Disclaimer: *The MT-GenEval benchmark was released in the EMNLP 2022 paper MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation by Anna Currey, Maria Nadejde, Raghavendra Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, and Georgiana Dinu and is hosted through Github by the Amazon Science organization. The dataset is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.* ### Supported Tasks and Leaderboards #### Machine Translation Refer to the original paper for additional details on gender accuracy evaluation with MT-GenEval. ### Languages The dataset contains source English sentences extracted from Wikipedia translated into the following languages: Arabic ('ar'), French ('fr'), German ('de'), Hindi ('hi'), Italian ('it'), Portuguese ('pt'), Russian ('ru'), and Spanish ('es'). Dataset Structure ----------------- ### Data Instances The dataset contains two configuration types, 'sentences' and 'context', mirroring the original repository structure, with source and target language specified in the configuration name (e.g. 'sentences\_en\_ar', 'context\_en\_it') The 'sentences' configurations contains masculine and feminine versions of individual sentences with gendered word annotations. Here is an example entry of the 'sentences\_en\_it' split (all 'sentences\_en\_XX' splits have the same structure): The 'context' configuration contains instead different English sources related to stereotypical professional roles with additional preceding context and contrastive original-inverted translations. Here is an example entry of the 'context\_en\_it' split (all 'context\_en\_XX' splits have the same structure): ### Data Splits All 'sentences\_en\_XX' configurations have 1200 examples in the 'train' split and 300 in the 'test' split. For the 'context\_en\_XX' configurations, the number of example depends on the language pair: ### Dataset Creation From the original paper: > > In developing MT-GenEval, our goal was to create a realistic, gender-balanced dataset that naturally incorporates a diverse range of gender phenomena. To this end, we extracted English source sentences from Wikipedia as the basis for our dataset. We automatically pre-selected relevant sentences using EN gender-referring words based on the list provided by Zhao et al. (2018). > > > Please refer to the original article MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation for additional information on dataset creation. Additional Information ---------------------- ### Dataset Curators The original authors of MT-GenEval are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL. ### Licensing Information The dataset is licensed under the Creative Commons Attribution-ShareAlike 3.0 International License. Please cite the authors if you use these corpora in your work.
[ "### Dataset Summary\n\n\nThe MT-GenEval benchmark evaluates gender translation accuracy on English -> {Arabic, French, German, Hindi, Italian, Portuguese, Russian, Spanish}. The dataset contains individual sentences with annotations on the gendered target words, and contrastive original-invertend translations with additional preceding context.\n\n\nDisclaimer: *The MT-GenEval benchmark was released in the EMNLP 2022 paper MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation by Anna Currey, Maria Nadejde, Raghavendra Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, and Georgiana Dinu and is hosted through Github by the Amazon Science organization. The dataset is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.*", "### Supported Tasks and Leaderboards", "#### Machine Translation\n\n\nRefer to the original paper for additional details on gender accuracy evaluation with MT-GenEval.", "### Languages\n\n\nThe dataset contains source English sentences extracted from Wikipedia translated into the following languages: Arabic ('ar'), French ('fr'), German ('de'), Hindi ('hi'), Italian ('it'), Portuguese ('pt'), Russian ('ru'), and Spanish ('es').\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nThe dataset contains two configuration types, 'sentences' and 'context', mirroring the original repository structure, with source and target language specified in the configuration name (e.g. 'sentences\\_en\\_ar', 'context\\_en\\_it') The 'sentences' configurations contains masculine and feminine versions of individual sentences with gendered word annotations. Here is an example entry of the 'sentences\\_en\\_it' split (all 'sentences\\_en\\_XX' splits have the same structure):\n\n\nThe 'context' configuration contains instead different English sources related to stereotypical professional roles with additional preceding context and contrastive original-inverted translations. Here is an example entry of the 'context\\_en\\_it' split (all 'context\\_en\\_XX' splits have the same structure):", "### Data Splits\n\n\nAll 'sentences\\_en\\_XX' configurations have 1200 examples in the 'train' split and 300 in the 'test' split. For the 'context\\_en\\_XX' configurations, the number of example depends on the language pair:", "### Dataset Creation\n\n\nFrom the original paper:\n\n\n\n> \n> In developing MT-GenEval, our goal was to create a realistic, gender-balanced dataset that naturally incorporates a diverse range of gender phenomena. To this end, we extracted English source sentences from Wikipedia as the basis for our dataset. We automatically pre-selected relevant sentences using EN gender-referring words based on the list provided by Zhao et al. (2018).\n> \n> \n> \n\n\nPlease refer to the original article MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe original authors of MT-GenEval are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nThe dataset is licensed under the Creative Commons Attribution-ShareAlike 3.0 International License.\n\n\nPlease cite the authors if you use these corpora in your work." ]
[ "TAGS\n#task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-translation #size_categories-1K<n<10K #source_datasets-original #language-English #language-Italian #language-French #language-Arabic #language-German #language-Hindi #language-Portuguese #language-Russian #language-Spanish #license-cc-by-sa-3.0 #gender #constrained mt #arxiv-2211.01355 #region-us \n", "### Dataset Summary\n\n\nThe MT-GenEval benchmark evaluates gender translation accuracy on English -> {Arabic, French, German, Hindi, Italian, Portuguese, Russian, Spanish}. The dataset contains individual sentences with annotations on the gendered target words, and contrastive original-invertend translations with additional preceding context.\n\n\nDisclaimer: *The MT-GenEval benchmark was released in the EMNLP 2022 paper MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation by Anna Currey, Maria Nadejde, Raghavendra Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, and Georgiana Dinu and is hosted through Github by the Amazon Science organization. The dataset is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.*", "### Supported Tasks and Leaderboards", "#### Machine Translation\n\n\nRefer to the original paper for additional details on gender accuracy evaluation with MT-GenEval.", "### Languages\n\n\nThe dataset contains source English sentences extracted from Wikipedia translated into the following languages: Arabic ('ar'), French ('fr'), German ('de'), Hindi ('hi'), Italian ('it'), Portuguese ('pt'), Russian ('ru'), and Spanish ('es').\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nThe dataset contains two configuration types, 'sentences' and 'context', mirroring the original repository structure, with source and target language specified in the configuration name (e.g. 'sentences\\_en\\_ar', 'context\\_en\\_it') The 'sentences' configurations contains masculine and feminine versions of individual sentences with gendered word annotations. Here is an example entry of the 'sentences\\_en\\_it' split (all 'sentences\\_en\\_XX' splits have the same structure):\n\n\nThe 'context' configuration contains instead different English sources related to stereotypical professional roles with additional preceding context and contrastive original-inverted translations. Here is an example entry of the 'context\\_en\\_it' split (all 'context\\_en\\_XX' splits have the same structure):", "### Data Splits\n\n\nAll 'sentences\\_en\\_XX' configurations have 1200 examples in the 'train' split and 300 in the 'test' split. For the 'context\\_en\\_XX' configurations, the number of example depends on the language pair:", "### Dataset Creation\n\n\nFrom the original paper:\n\n\n\n> \n> In developing MT-GenEval, our goal was to create a realistic, gender-balanced dataset that naturally incorporates a diverse range of gender phenomena. To this end, we extracted English source sentences from Wikipedia as the basis for our dataset. We automatically pre-selected relevant sentences using EN gender-referring words based on the list provided by Zhao et al. (2018).\n> \n> \n> \n\n\nPlease refer to the original article MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe original authors of MT-GenEval are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nThe dataset is licensed under the Creative Commons Attribution-ShareAlike 3.0 International License.\n\n\nPlease cite the authors if you use these corpora in your work." ]
b5816ba2e4436e9be858547afaba6041de6d5f68
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-d545d554-fb32-43d5-a9dd-4a47f0efba15-3836
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T10:51:40+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T10:52:16+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
dd70eea6d32e3a131961fedb5fd9856021f50e15
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-408e9b4e-b238-40e9-a460-4dacc071ae0d-3937
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T11:08:03+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T11:08:40+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
db839962ac0799010de37a6bda56621c3df883f1
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-be841b2c-fd99-4cdf-be00-1a826c9f1b02-4038
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T11:12:23+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T11:12:59+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
c2cc6f084e36682eda391875e8af350aad0e86a5
# Dataset Card for "test_push_new" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
polinaeterna/test_push_new
[ "region:us" ]
2022-11-21T11:15:45+00:00
{"dataset_info": [{"config_name": "v3", "features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 74, "num_examples": 5}, {"name": "test", "num_bytes": 88, "num_examples": 6}], "download_size": 1704, "dataset_size": 162}]}
2022-11-21T11:16:30+00:00
[]
[]
TAGS #region-us
# Dataset Card for "test_push_new" More Information needed
[ "# Dataset Card for \"test_push_new\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"test_push_new\"\n\nMore Information needed" ]
b50b21cc833c01212c55c7d7b433a5a826c6f904
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-a3656eb0-b7ed-410f-ab65-0222b8e06770-4139
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T11:21:05+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "sentence", "target": "label"}}}
2022-11-21T11:21:43+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
8df313e77edb0bc54fab01a46f001f00ac6f9603
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-e8ce9c11-cb63-47ba-8b24-d3a9a8e15a88-4240
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T11:25:31+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T11:26:20+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
66745b3dce8aa8db16e3319df0519d6e8c872d1c
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-0919d128-ac07-4f9a-b929-706957da9f2e-4341
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T11:31:02+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T11:31:50+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
a1b620a256a4f15fa17800e8e762a6dd35e7d41e
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-8abfadbc-69e6-47d0-afdc-f5859c5e0d16-4442
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T11:37:25+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T11:38:08+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
2d9a23d68941979f794480720b50c2cb0c81fd5c
# Dataset Card for "birddb_small2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kojima-r/birddb_small2
[ "region:us" ]
2022-11-21T12:18:24+00:00
{"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}], "splits": [{"name": "train", "num_bytes": 1011384430.775, "num_examples": 77501}], "download_size": 2139041561, "dataset_size": 1011384430.775}}
2022-11-21T12:22:41+00:00
[]
[]
TAGS #region-us
# Dataset Card for "birddb_small2" More Information needed
[ "# Dataset Card for \"birddb_small2\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"birddb_small2\"\n\nMore Information needed" ]
af4407172632a9ed0f90fc7ff59c7a83cb614bd3
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-688c59a8-44a3-4de2-8b30-d3e76d3addf5-4543
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T12:41:17+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T12:42:01+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
e7e31982c6139f0f0872ce16204b560e6bd3c3bc
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-5a4fda18-6304-4b90-86c0-99202bfbe1e9-4644
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T12:45:40+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T12:46:22+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
23202693ec578a5d9c1d82bbf7409668f4704375
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-4144bd7b-94bf-4e9e-87a5-f722d28cd7cd-4745
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T12:58:49+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T12:59:31+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
3c644988582d3df5115558885f42dddf91aa6cc3
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-636a44ed-fa98-4717-b181-b742a86b03be-4846
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T13:01:47+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T13:02:29+00:00
[]
[]
TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
238462195650d028dc3c1cd4c0ce345f68fd71b5
Just a collection of the TI's Ive made. Idk how to really use huggingface so im just gona put the descriptions here 1. araken - @Ara_Kieda. have not really tested it but from what I have tested, it works alright. 2. izuna - character TI of Kuda Izuna from Blue Archive. Needs at least three token to change outfit. (((token))) 3. jizel - @jizell_7. was trained on very few datasets so its very biased to brown hair. 4. mikapikazo - @MikaPikaZo. Really looks good on prompts with "muticolored". 5. matcha - @matchach. this was my first TI and its overtrained. Really cool style tho. 6. nanmokaken - @nanmokaken. kemonomimi lolis 7. onene - @OneneChan. havent really tested this yet but it does resemble their works. 8. orieh - @orie_h. really unique watercolor style. 9. rurudo - @rurudo_. sometimes it works, sometimes it doesnt. 10. yukoring - @_yukoring. watercolor style but hair does sometimes get weird. 11. teraru - @TeraAru6262. I tried training this for the hair styles but it failed. 12. iftuoma - @iftuoma. Failed TI. was just too lazy to sort out datasets and couldnt be bothered doing it now.
Katekii/TI
[ "region:us" ]
2022-11-21T13:04:07+00:00
{}
2022-11-22T09:39:33+00:00
[]
[]
TAGS #region-us
Just a collection of the TI's Ive made. Idk how to really use huggingface so im just gona put the descriptions here 1. araken - @Ara_Kieda. have not really tested it but from what I have tested, it works alright. 2. izuna - character TI of Kuda Izuna from Blue Archive. Needs at least three token to change outfit. (((token))) 3. jizel - @jizell_7. was trained on very few datasets so its very biased to brown hair. 4. mikapikazo - @MikaPikaZo. Really looks good on prompts with "muticolored". 5. matcha - @matchach. this was my first TI and its overtrained. Really cool style tho. 6. nanmokaken - @nanmokaken. kemonomimi lolis 7. onene - @OneneChan. havent really tested this yet but it does resemble their works. 8. orieh - @orie_h. really unique watercolor style. 9. rurudo - @rurudo_. sometimes it works, sometimes it doesnt. 10. yukoring - @_yukoring. watercolor style but hair does sometimes get weird. 11. teraru - @TeraAru6262. I tried training this for the hair styles but it failed. 12. iftuoma - @iftuoma. Failed TI. was just too lazy to sort out datasets and couldnt be bothered doing it now.
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[ "TAGS\n#region-us \n" ]
94b751e72f33e95797ff8b5b786e551a0acb038b
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-11ed4317-15c4-4e98-9e37-8cdfe6d38dfb-4947
[ "autotrain", "evaluation", "region:us" ]
2022-11-21T13:05:17+00:00
{"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "target": "label"}}}
2022-11-21T13:06:00+00:00
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TAGS #autotrain #evaluation #region-us
# Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by AutoTrain for the following task and dataset: * Task: Multi-class Text Classification * Model: autoevaluate/multi-class-classification * Dataset: emotion * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's automatic model evaluator. ## Contributions Thanks to @lewtun for evaluating this model.
[ "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]
[ "TAGS\n#autotrain #evaluation #region-us \n", "# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.", "## Contributions\n\nThanks to @lewtun for evaluating this model." ]