Commit
•
fc44e8b
1
Parent(s):
852963d
upload bigbiohub.py to hub from bigbio repo
Browse files- bigbiohub.py +153 -0
bigbiohub.py
ADDED
@@ -0,0 +1,153 @@
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1 |
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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 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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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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# refers to the text_bound_annotation of the trigger
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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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