just use strings for license and language, unit test in bigbio repo can check correctness
5241e61
from dataclasses import dataclass | |
from enum import Enum | |
import datasets | |
from types import SimpleNamespace | |
BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>") | |
class BigBioConfig(datasets.BuilderConfig): | |
"""BuilderConfig for BigBio.""" | |
name: str = None | |
version: datasets.Version = None | |
description: str = None | |
schema: str = None | |
subset_id: str = None | |
class Tasks(Enum): | |
NAMED_ENTITY_RECOGNITION = "NER" | |
NAMED_ENTITY_DISAMBIGUATION = "NED" | |
EVENT_EXTRACTION = "EE" | |
RELATION_EXTRACTION = "RE" | |
COREFERENCE_RESOLUTION = "COREF" | |
QUESTION_ANSWERING = "QA" | |
TEXTUAL_ENTAILMENT = "TE" | |
SEMANTIC_SIMILARITY = "STS" | |
TEXT_PAIRS_CLASSIFICATION = "TXT2CLASS" | |
PARAPHRASING = "PARA" | |
TRANSLATION = "TRANSL" | |
SUMMARIZATION = "SUM" | |
TEXT_CLASSIFICATION = "TXTCLASS" | |
entailment_features = datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"premise": datasets.Value("string"), | |
"hypothesis": datasets.Value("string"), | |
"label": datasets.Value("string"), | |
} | |
) | |
pairs_features = datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"document_id": datasets.Value("string"), | |
"text_1": datasets.Value("string"), | |
"text_2": datasets.Value("string"), | |
"label": datasets.Value("string"), | |
} | |
) | |
qa_features = datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"question_id": datasets.Value("string"), | |
"document_id": datasets.Value("string"), | |
"question": datasets.Value("string"), | |
"type": datasets.Value("string"), | |
"choices": [datasets.Value("string")], | |
"context": datasets.Value("string"), | |
"answer": datasets.Sequence(datasets.Value("string")), | |
} | |
) | |
text_features = datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"document_id": datasets.Value("string"), | |
"text": datasets.Value("string"), | |
"labels": [datasets.Value("string")], | |
} | |
) | |
text2text_features = datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"document_id": datasets.Value("string"), | |
"text_1": datasets.Value("string"), | |
"text_2": datasets.Value("string"), | |
"text_1_name": datasets.Value("string"), | |
"text_2_name": datasets.Value("string"), | |
} | |
) | |
kb_features = datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"document_id": datasets.Value("string"), | |
"passages": [ | |
{ | |
"id": datasets.Value("string"), | |
"type": datasets.Value("string"), | |
"text": datasets.Sequence(datasets.Value("string")), | |
"offsets": datasets.Sequence([datasets.Value("int32")]), | |
} | |
], | |
"entities": [ | |
{ | |
"id": datasets.Value("string"), | |
"type": datasets.Value("string"), | |
"text": datasets.Sequence(datasets.Value("string")), | |
"offsets": datasets.Sequence([datasets.Value("int32")]), | |
"normalized": [ | |
{ | |
"db_name": datasets.Value("string"), | |
"db_id": datasets.Value("string"), | |
} | |
], | |
} | |
], | |
"events": [ | |
{ | |
"id": datasets.Value("string"), | |
"type": datasets.Value("string"), | |
# refers to the text_bound_annotation of the trigger | |
"trigger": { | |
"text": datasets.Sequence(datasets.Value("string")), | |
"offsets": datasets.Sequence([datasets.Value("int32")]), | |
}, | |
"arguments": [ | |
{ | |
"role": datasets.Value("string"), | |
"ref_id": datasets.Value("string"), | |
} | |
], | |
} | |
], | |
"coreferences": [ | |
{ | |
"id": datasets.Value("string"), | |
"entity_ids": datasets.Sequence(datasets.Value("string")), | |
} | |
], | |
"relations": [ | |
{ | |
"id": datasets.Value("string"), | |
"type": datasets.Value("string"), | |
"arg1_id": datasets.Value("string"), | |
"arg2_id": datasets.Value("string"), | |
"normalized": [ | |
{ | |
"db_name": datasets.Value("string"), | |
"db_id": datasets.Value("string"), | |
} | |
], | |
} | |
], | |
} | |
) | |