update hit.py

hit.py

@@ -123,8 +123,10 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         with open(file_structure) as f:
             file_structure = json.load(f)
         print(file_structure)
-
-        data_urls = {split: [os.path.join(gender, split, filename) for filename in file_structure[gender][split]] for split in splits}
+        if not gender is None:
+            data_urls = {split: [os.path.join(gender, split, filename) for filename in file_structure[gender][split]] for split in splits}
+        else:
+            data_urls = {gender: {split: [os.path.join(gender, split, filename) for filename in file_structure[gender][split]] for split in splits} for gender in ['male', 'female']}
         print(f"data url: {data_urls}")
         archive_paths = dl_manager.download(data_urls)
         print(archive_paths)
@@ -133,7 +135,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(gender, "train"),
+                    "filepath": archive_paths['train'],
                     "split": "train",
                 },
             ),
@@ -141,7 +143,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(gender, "val"),
+                    "filepath": archive_paths['val'],
                     "split": "validation",
                 },
             ),
@@ -149,7 +151,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(gender, "test"),
+                    "filepath": archive_paths['test'],
                     "split": "test"
                 },
             ),
@@ -161,12 +163,12 @@ 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
         print(f"file path {filepath}")
-        file_paths = []
+        """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:
+                    file_paths.append(file)"""
+        for subject_path in filepath:
             with gzip.open(subject_path, 'rb') as f:
                 data = pickle.load(f)
             key = data['subject_ID']