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import json |
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from collections import defaultdict |
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from enum import Enum |
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from types import SimpleNamespace |
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from dataclasses import dataclass |
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import datasets |
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from licenses import License |
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from licenses import Licenses |
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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_json = json.load(open("languages.json", "r")) |
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langs_dict = {k.replace("-", "_").upper(): v for k, v in langs_json.items()} |
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Lang = Enum("Lang", langs_dict) |
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METADATA: dict = { |
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"_LOCAL": bool, |
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"_LANGUAGES": Lang, |
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"_PUBMED": bool, |
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"_LICENSE": License, |
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"_DISPLAYNAME": str, |
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} |
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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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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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