update

bigbiohub.py

@@ -6,8 +6,7 @@ from types import SimpleNamespace
 from dataclasses import dataclass
 import datasets
 
-from licenses import License
-from licenses import Licenses
+from . licenses import License, Licenses
 
 
 BigBioValues = SimpleNamespace(NULL="<BB_NULL_STR>")

scitail.py

@@ -28,18 +28,13 @@ import os
 import datasets
 import pandas as pd
 
+from . bigbiohub import entailment_features
+from . bigbiohub import BigBioConfig
+from . bigbiohub import Lang, Tasks
+from . bigbiohub import Licenses
 
-@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
-
-_LANGUAGES = ["EN"]
+_LANGUAGES = [Lang.EN]
 _PUBMED = False
 _LOCAL = False
 _CITATION = """\
@@ -66,13 +61,13 @@ entails label and 16,925 examples with neutral label.
 
 _HOMEPAGE = "https://allenai.org/data/scitail"
 
-_LICENSE = "Apache 2.0"
+_LICENSE = Licenses.APACHE_2p0
 
 _URLS = {
     _DATASETNAME: "https://ai2-public-datasets.s3.amazonaws.com/scitail/SciTailV1.1.zip",
 }
 
-_SUPPORTED_TASKS = ["TEXTUAL_ENTAILMENT"]
+_SUPPORTED_TASKS = [Tasks.TEXTUAL_ENTAILMENT]
 
 _SOURCE_VERSION = "1.1.0"
 
@@ -81,14 +76,6 @@ _BIGBIO_VERSION = "1.0.0"
 
 LABEL_MAP = {"entails": "entailment", "neutral": "neutral"}
 
-entailment_features = datasets.Features(
-    {
-        "id": datasets.Value("string"),
-        "premise": datasets.Value("string"),
-        "hypothesis": datasets.Value("string"),
-        "label": datasets.Value("string"),
-    }
-)
 
 class SciTailDataset(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""
@@ -186,4 +173,4 @@ class SciTailDataset(datasets.GeneratorBasedBuilder):
             # normalize labels
             data["label"] = data["label"].apply(lambda x: LABEL_MAP[x])
             for _, row in data.iterrows():
-                yield row["id"], row.to_dict()
+                yield row["id"], row.to_dict()