Update hit.py

hit.py

@@ -111,6 +111,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         rel_path = _PATHS[self.config.name]
+        print(os.path.join(rel_path, "train", "*.gz"))
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -144,6 +145,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         # List all files in the path .gz
         files = glob(filepath)
+        print(files)
         for subject_path in files:
             with gzip.open(subject_path, 'rb') as f:
                 data = pickle.load(f)