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from dataclasses import dataclass |
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from enum import Enum |
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import datasets |
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from datasets.utils.metadata import known_language_codes |
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from types import SimpleNamespace |
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BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>") |
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@dataclass |
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class BigBioConfig(datasets.BuilderConfig): |
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"""BuilderConfig for BigBio.""" |
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name: str = None |
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version: datasets.Version = None |
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description: str = None |
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schema: str = None |
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subset_id: str = None |
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langs_dict = {k.replace("-", "_").upper(): v for k, v in known_language_codes.items()} |
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Lang = Enum("Lang", langs_dict) |
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class Tasks(Enum): |
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NAMED_ENTITY_RECOGNITION = "NER" |
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NAMED_ENTITY_DISAMBIGUATION = "NED" |
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EVENT_EXTRACTION = "EE" |
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RELATION_EXTRACTION = "RE" |
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COREFERENCE_RESOLUTION = "COREF" |
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QUESTION_ANSWERING = "QA" |
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TEXTUAL_ENTAILMENT = "TE" |
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SEMANTIC_SIMILARITY = "STS" |
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TEXT_PAIRS_CLASSIFICATION = "TXT2CLASS" |
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PARAPHRASING = "PARA" |
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TRANSLATION = "TRANSL" |
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SUMMARIZATION = "SUM" |
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TEXT_CLASSIFICATION = "TXTCLASS" |
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entailment_features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"premise": datasets.Value("string"), |
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"hypothesis": datasets.Value("string"), |
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"label": datasets.Value("string"), |
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} |
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) |
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pairs_features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"document_id": datasets.Value("string"), |
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"text_1": datasets.Value("string"), |
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"text_2": datasets.Value("string"), |
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"label": datasets.Value("string"), |
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} |
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) |
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qa_features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"question_id": datasets.Value("string"), |
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"document_id": datasets.Value("string"), |
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"question": datasets.Value("string"), |
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"type": datasets.Value("string"), |
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"choices": [datasets.Value("string")], |
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"context": datasets.Value("string"), |
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"answer": datasets.Sequence(datasets.Value("string")), |
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} |
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) |
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text_features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"document_id": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"labels": [datasets.Value("string")], |
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} |
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) |
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text2text_features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"document_id": datasets.Value("string"), |
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"text_1": datasets.Value("string"), |
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"text_2": datasets.Value("string"), |
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"text_1_name": datasets.Value("string"), |
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"text_2_name": datasets.Value("string"), |
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} |
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) |
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kb_features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"document_id": datasets.Value("string"), |
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"passages": [ |
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{ |
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"id": datasets.Value("string"), |
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"type": datasets.Value("string"), |
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"text": datasets.Sequence(datasets.Value("string")), |
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"offsets": datasets.Sequence([datasets.Value("int32")]), |
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} |
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], |
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"entities": [ |
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{ |
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"id": datasets.Value("string"), |
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"type": datasets.Value("string"), |
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"text": datasets.Sequence(datasets.Value("string")), |
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"offsets": datasets.Sequence([datasets.Value("int32")]), |
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"normalized": [ |
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{ |
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"db_name": datasets.Value("string"), |
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"db_id": datasets.Value("string"), |
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} |
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], |
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} |
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], |
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"events": [ |
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{ |
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"id": datasets.Value("string"), |
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"type": datasets.Value("string"), |
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"trigger": { |
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"text": datasets.Sequence(datasets.Value("string")), |
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"offsets": datasets.Sequence([datasets.Value("int32")]), |
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}, |
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"arguments": [ |
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{ |
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"role": datasets.Value("string"), |
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"ref_id": datasets.Value("string"), |
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} |
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], |
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} |
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], |
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"coreferences": [ |
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{ |
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"id": datasets.Value("string"), |
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"entity_ids": datasets.Sequence(datasets.Value("string")), |
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} |
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], |
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"relations": [ |
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{ |
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"id": datasets.Value("string"), |
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"type": datasets.Value("string"), |
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"arg1_id": datasets.Value("string"), |
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"arg2_id": datasets.Value("string"), |
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"normalized": [ |
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{ |
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"db_name": datasets.Value("string"), |
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"db_id": datasets.Value("string"), |
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} |
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], |
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} |
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], |
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} |
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) |
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