update hit.py

hit.py

@@ -74,6 +74,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
 
     def _info(self):
+        print("HELOOOOOOOOO")
         features = datasets.Features(
             {
                 "gender": datasets.Value("string"),
@@ -110,14 +111,14 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # 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"))
+        data_urls = _PATHS[self.config.name]
+        archive_paths = dl_manager.download(data_urls)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(rel_path, "train", "*.gz"),
+                    "filepath": os.path.join(data_urls, "train"),
                     "split": "train",
                 },
             ),
@@ -125,7 +126,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(rel_path, "val", "*.gz"),
+                    "filepath": os.path.join(data_urls, "val"),
                     "split": "validation",
                 },
             ),
@@ -133,7 +134,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(rel_path, "test", "*.gz"),
+                    "filepath": os.path.join(data_urls, "test"),
                     "split": "test"
                 },
             ),
@@ -144,9 +145,12 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # 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:
+        file_paths = []
+        for root, dirs, files in os.walk(filepath):
+            for file in files:
+                if file.endswith('.gz'):
+                    file_paths.append(file)
+        for subject_path in file_paths:
             with gzip.open(subject_path, 'rb') as f:
                 data = pickle.load(f)
             key = data['subject_ID']