test

QR-AN.py

@@ -14,7 +14,7 @@ _DESCRIPTION = """\
  It contains 188 unbalanced classes, 80k questions-answers divided into 3 splits: train (60k), val (10k) and test (10k).
 """
 
-"""
+
 _LABELS = [
     'administration', 'agriculture', 'agroalimentaire', 'aménagement du territoire', 'anciens combattants et victimes de guerre', 
     'animaux', 'aquaculture et pêche professionnelle', 'architecture', 'archives et bibliothèques', 'armes', 'arts et spectacles', 
@@ -55,7 +55,7 @@ _LABELS = [
     'transports ferroviaires', 'transports par eau', 'transports routiers', 'transports urbains', 'travail', 'TVA', 
     'Union européenne', 'urbanisme', 'ventes et échanges', 'voirie'
     ]
-"""
+
 
 class QRANConfig(datasets.BuilderConfig):
     """BuilderConfig for QR-AN."""
@@ -72,9 +72,6 @@ class QRANDataset(datasets.GeneratorBasedBuilder):
     """QR-AN Dataset: Topic dataset on french Parliament questions-answers."""
     
     _DOWNLOAD_URL = "https://huggingface.co/datasets/cassandra-themis/QR-AN/resolve/main/"
-    label_path = datasets.DownloadManager.download_and_extract("https://huggingface.co/datasets/cassandra-themis/QR-AN/resolve/main/rubriques.txt")
-    LABELS = open(label_path, "r", encoding="utf-8").read().split("\n")
-    print(LABELS)
     _TRAIN_FILE = "train_data.txt"
     _VAL_FILE = "val_data.txt"
     _TEST_FILE = "test_data.txt"

rubriques.txt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6ab9f70d7f22e54727b878986a55e3ea38f62179caf376c754a0c270e259ca65
-size 3823