Update data and paths

.gitattributes

@@ -1,16 +0,0 @@
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tar.gz filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text

copa_hr.py

@@ -15,6 +15,7 @@
 
 
 import json
+import os
 
 import datasets
 
@@ -33,19 +34,19 @@ following features: 'premise', 'choice1', 'choice2', 'label', 'question', 'chang
 _HOMEPAGE = 'https://www.clarin.si/repository/xmlui/handle/11356/1404'
 _LICENSE = ''
 
+_URL = 'https://huggingface.co/datasets/classla/copa_hr/raw/main/data.zip'
 _TRAINING_FILE = 'train.jsonl'
 _DEV_FILE = 'val.jsonl'
 _TEST_FILE = 'test.jsonl'
 
 
 class CopaHr(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version('1.1.0')
+    VERSION = datasets.Version('1.0.0')
 
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
             name='copa_hr',
             version=VERSION,
-            data_files=[_TRAINING_FILE, _DEV_FILE, _TEST_FILE],
             description=''
         )
     ]
@@ -73,15 +74,24 @@ class CopaHr(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_URL)
+
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={'filepath': _TRAINING_FILE, 'split': 'train'}
+                name=datasets.Split.TRAIN, gen_kwargs={
+                    'filepath': os.path.join(data_dir, _TRAINING_FILE),
+                    'split': 'train'}
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={'filepath': _DEV_FILE, 'split': 'dev'}
+                name=datasets.Split.VALIDATION, gen_kwargs={
+                    'filepath': os.path.join(data_dir, _DEV_FILE),
+                    'split': 'dev'}
             ),
             datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={'filepath': _TEST_FILE, 'split': 'test'}
+                name=datasets.Split.TEST, gen_kwargs={
+                    'filepath': os.path.join(data_dir, _TEST_FILE),
+                    'split': 'test'}
             ),
         ]