just another split

commavq.py

@@ -5,12 +5,9 @@ import numpy as np
 
 SHARD_SIZE = 2500
 NUM_SHARDS = 40
-_URLS = {
-  'train': [
+_URLS = [
       f'https://huggingface.co/datasets/commaai/commavq/resolve/main/data_{i*SHARD_SIZE}_to_{(i+1)*SHARD_SIZE}.zip' for i in range(NUM_SHARDS)
-    ],
-  'val': f'https://huggingface.co/datasets/commaai/commavq/resolve/main/val.zip'
-}
+    ] + [ f'https://huggingface.co/datasets/commaai/commavq/resolve/main/val.zip']
 
 _DESCRIPTION = """\
 TODO
@@ -33,14 +30,9 @@ class CommaVQ(datasets.GeneratorBasedBuilder):
     local_extracted_archive = dl_manager.extract(downloaded_files) if not dl_manager.is_streaming else None
     return [
       datasets.SplitGenerator(
-        name=f'train_{i}',
-        gen_kwargs={"local_extracted_archive":local_extracted_archive['train'][i], "files": dl_manager.iter_archive(downloaded_files['train'][i])}
-        ) for i in range(len(downloaded_files['train']))] + [
-      datasets.SplitGenerator(
-        name='val',
-        gen_kwargs={"local_extracted_archive":local_extracted_archive['val'], "files": dl_manager.iter_archive(downloaded_files['val'])}
-        )
-        ]
+        name=str(i),
+        gen_kwargs={"local_extracted_archive":local_extracted_archive[i], "files": dl_manager.iter_archive(downloaded_files[i])}
+        ) for i in range(len(downloaded_files))]
 
   def _generate_examples(self, local_extracted_archive, files):
     files = glob.glob(os.path.join(local_extracted_archive, '*.npy'))