|
import importlib.resources as pkg_resources |
|
import json |
|
from collections import defaultdict |
|
from enum import Enum |
|
from types import SimpleNamespace |
|
|
|
from bigbio.utils import resources |
|
from bigbio.utils.license import License |
|
from bigbio.utils.schemas import ( |
|
entailment_features, |
|
kb_features, |
|
pairs_features, |
|
qa_features, |
|
text2text_features, |
|
text_features, |
|
) |
|
|
|
BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>") |
|
|
|
|
|
|
|
langs_json = pkg_resources.read_text(resources, "languages.json") |
|
langs_dict = {k.replace("-", "_").upper(): v for k, v in json.loads(langs_json).items()} |
|
Lang = Enum("Lang", langs_dict) |
|
|
|
|
|
METADATA: dict = { |
|
"_LOCAL": bool, |
|
"_LANGUAGES": Lang, |
|
"_PUBMED": bool, |
|
"_LICENSE": License, |
|
"_DISPLAYNAME": str, |
|
} |
|
|
|
|
|
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" |
|
|
|
PARAPHRASING = "PARA" |
|
TRANSLATION = "TRANSL" |
|
SUMMARIZATION = "SUM" |
|
|
|
TEXT_CLASSIFICATION = "TXTCLASS" |
|
|
|
|
|
TASK_TO_SCHEMA = { |
|
Tasks.NAMED_ENTITY_RECOGNITION: "KB", |
|
Tasks.NAMED_ENTITY_DISAMBIGUATION: "KB", |
|
Tasks.EVENT_EXTRACTION: "KB", |
|
Tasks.RELATION_EXTRACTION: "KB", |
|
Tasks.COREFERENCE_RESOLUTION: "KB", |
|
Tasks.QUESTION_ANSWERING: "QA", |
|
Tasks.TEXTUAL_ENTAILMENT: "TE", |
|
Tasks.SEMANTIC_SIMILARITY: "PAIRS", |
|
Tasks.PARAPHRASING: "T2T", |
|
Tasks.TRANSLATION: "T2T", |
|
Tasks.SUMMARIZATION: "T2T", |
|
Tasks.TEXT_CLASSIFICATION: "TEXT", |
|
} |
|
|
|
SCHEMA_TO_TASKS = defaultdict(set) |
|
for task, schema in TASK_TO_SCHEMA.items(): |
|
SCHEMA_TO_TASKS[schema].add(task) |
|
SCHEMA_TO_TASKS = dict(SCHEMA_TO_TASKS) |
|
|
|
VALID_TASKS = set(TASK_TO_SCHEMA.keys()) |
|
VALID_SCHEMAS = set(TASK_TO_SCHEMA.values()) |
|
|
|
SCHEMA_TO_FEATURES = { |
|
"KB": kb_features, |
|
"QA": qa_features, |
|
"TE": entailment_features, |
|
"T2T": text2text_features, |
|
"TEXT": text_features, |
|
"PAIRS": pairs_features, |
|
} |
|
|
