|
{ |
|
"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)." |
|
}, |
|
"commensenseqa": { |
|
"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": { |
|
"text": { |
|
"_type": "Value", |
|
"dtype": "string" |
|
}, |
|
"label": { |
|
"_type": "ClassLabel", |
|
"names": [ |
|
"Incorrect", |
|
"Correct" |
|
] |
|
} |
|
}, |
|
"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 (TempLAMA)." |
|
}, |
|
"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 (TempLAMA)." |
|
}, |
|
"clang8": { |
|
"features": { |
|
"false": { |
|
"_type": "Value", |
|
"dtype": "string" |
|
}, |
|
"true": { |
|
"_type": "Value", |
|
"dtype": "string" |
|
} |
|
}, |
|
"description": "Binary classification, Grammatic error detection (Clang8)." |
|
} |
|
} |
