Upload bigbiohub.py

bigbiohub.py

@@ -0,0 +1,67 @@
+import json
+from collections import defaultdict
+from enum import Enum
+from types import SimpleNamespace
+
+from dataclasses import dataclass
+import datasets
+
+from licenses import License
+from licenses import Licenses
+
+
+BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>")
+
+
+@dataclass
+class BigBioConfig(datasets.BuilderConfig):
+    """BuilderConfig for BigBio."""
+
+    name: str = None
+    version: datasets.Version = None
+    description: str = None
+    schema: str = None
+    subset_id: str = None
+
+
+
+
+# shamelessly compied from:
+# https://github.com/huggingface/datasets/blob/master/src/datasets/utils/metadata.py
+langs_json = json.load(open("languages.json", "r"))
+langs_dict = {k.replace("-", "_").upper(): v for k, v in 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"
+
+
+entailment_features = datasets.Features(
+    {
+        "id": datasets.Value("string"),
+        "premise": datasets.Value("string"),
+        "hypothesis": datasets.Value("string"),
+        "label": datasets.Value("string"),
+    }
+)