| { |
| "agnews": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "ClassLabel", |
| "names": [ |
| "World", |
| "Sports", |
| "Business", |
| "Sci/Tech" |
| ] |
| } |
| }, |
| "description": "Multi-choice, Topic classification task (Agnews)." |
| }, |
| "amazon-reviews": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, Sentiment classification task with numerical labels (Amazon-Review)." |
| }, |
| "imdb": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "ClassLabel", |
| "names": [ |
| "Negative", |
| "Positive" |
| ] |
| } |
| }, |
| "description": "Binary sentiment classification (IMDB)." |
| }, |
| "commonsenseqa": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "options": { |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "length": 5, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, Commense knowledge-answering datasets (CommensenseQA)." |
| }, |
| "fever": { |
| "features": { |
| "claim": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "ClassLabel", |
| "names": [ |
| "REFUTES", |
| "SUPPORTS" |
| ] |
| } |
| }, |
| "description": "Binary classification, fact-checking (FEVER)." |
| }, |
| "myriadlama": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "options": { |
| "feature": { |
| "dtype": "string", |
| "id": null, |
| "_type": "Value" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, open-domain knowledge question-answering (MyriadLAMA)." |
| }, |
| "templama": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "options": { |
| "feature": { |
| "dtype": "string", |
| "id": null, |
| "_type": "Value" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, open-domain temporary knowledge QA (TempLAMA)." |
| }, |
| "chunking": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "chunks": { |
| "feature": { |
| "_type": "Sequence", |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "_type": "Sequence" |
| }, |
| "target_chunk": { |
| "_type": "Sequence", |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "options": { |
| "feature": { |
| "dtype": "string", |
| "id": null, |
| "_type": "Value" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, Phrase chunking task based on CoNLL 2000 Dataset." |
| }, |
| "ner": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "chunks": { |
| "feature": { |
| "_type": "Sequence", |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "_type": "Sequence" |
| }, |
| "target_chunk": { |
| "_type": "Sequence", |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "options": { |
| "feature": { |
| "dtype": "string", |
| "id": null, |
| "_type": "Value" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, named-entity-recognition tagging based on CoNLL 2000 Dataset." |
| }, |
| "postag": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "tokens": { |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "_type": "Sequence" |
| }, |
| "target_token": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "options": { |
| "feature": { |
| "dtype": "string", |
| "id": null, |
| "_type": "Value" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, part-of-speech tagging based on CoNLL 2003 Dataset." |
| }, |
| "clang8": { |
| "features": { |
| "sentence1": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "sentence2": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "acceptable": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Binary classification, Grammatic error detection (Clang8)." |
| }, |
| "mnli": { |
| "features": { |
| "premise": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "hypothesis": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "ClassLabel", |
| "names": [ |
| "Entailment", |
| "Neutral", |
| "Contradiction" |
| ] |
| } |
| }, |
| "description": "Multi-choice, Entailment inference task (MNLI)." |
| }, |
| "paws": { |
| "features": { |
| "sentence1": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "sentence2": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "ClassLabel", |
| "names": [ |
| "False", |
| "True" |
| ] |
| } |
| }, |
| "description": "Multi-choice, Paraphrase detection (PAWS)." |
| }, |
| "swag": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "options": { |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Multi-choice, Situations With Adversarial Generations task (SWAG)." |
| }, |
| "halueval": { |
| "features": { |
| "knowledge": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "dialogue": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "response": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "hallucination": { |
| "_type": "ClassLabel", |
| "names": [ |
| "no", |
| "yes" |
| ] |
| } |
| }, |
| "description": "Binary classification, Hallucination detection (HaluEval-dialogue)." |
| }, |
| "stereoset": { |
| "features": { |
| "context": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "sentences": { |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "length": 3, |
| "_type": "Sequence" |
| }, |
| "stereotype": { |
| "_type": "Value", |
| "dtype": "int8" |
| }, |
| "anti-stereotype": { |
| "_type": "Value", |
| "dtype": "int8" |
| }, |
| "non-stereotype": { |
| "_type": "Value", |
| "dtype": "int8" |
| } |
| }, |
| "description": "Stereotype detection task" |
| }, |
| "toxicity": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "toxic": { |
| "_type": "ClassLabel", |
| "names": [ |
| "no", |
| "yes" |
| ] |
| } |
| }, |
| "description": "Toxicity detection task." |
| }, |
| "amazon-review-multi": { |
| "features": { |
| "review": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| }, |
| "lang": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "description": "Multi-choice, multilingual Amazon reviews task." |
| }, |
| "lti": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "lang": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "description": "Language and text identifier task (LTI)." |
| }, |
| "mlama": { |
| "features": { |
| "uuid": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "options": { |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| }, |
| "lang": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "description": "Multi-choice, Multilingual factual knowledge qa (mLAMA)." |
| }, |
| "mpostag": { |
| "features": { |
| "text": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "tokens": { |
| "feature": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "_type": "Sequence" |
| }, |
| "target_token": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "options": { |
| "feature": { |
| "dtype": "string", |
| "id": null, |
| "_type": "Value" |
| }, |
| "length": 4, |
| "_type": "Sequence" |
| }, |
| "label": { |
| "_type": "Value", |
| "dtype": "int8" |
| }, |
| "lang": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "description": "Multi-choice, multilingual part-of-speech tagging from Universal Treebank corpora." |
| }, |
| "xnli": { |
| "features": { |
| "index": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "premise": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "hypothesis": { |
| "_type": "Value", |
| "dtype": "string" |
| }, |
| "label": { |
| "_type": "ClassLabel", |
| "names": [ |
| "Entailment", |
| "Neutral", |
| "Contradiction" |
| ] |
| }, |
| "lang": { |
| "_type": "Value", |
| "dtype": "string" |
| } |
| }, |
| "description": "Cross-lingual natural language inference task (XNLI)." |
| } |
| } |
