Upload constants.py

constants.py

@@ -0,0 +1,86 @@
+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>")
+
+# shamelessly compied from:
+# https://github.com/huggingface/datasets/blob/master/src/datasets/utils/metadata.py
+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,
+}