update hit.py

hit.py

@@ -83,10 +83,10 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 "gender": datasets.Value("string"),
                 "mri_seg": datasets.Value("int64"),
                 "mri_labels": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
-                "mri_seg_dict": datasets.Sequence(datasets.Sequence(datasets.Value("float"))),
+                #"mri_seg_dict": datasets.Sequence(datasets.Sequence(datasets.Value("float"))),
                 "resolution": datasets.Value("double"),
                 "center": datasets.Value("double"),
-                "smpl_dict": datasets.Sequence(datasets.Sequence(datasets.Value("double"))),
+                #"smpl_dict": datasets.Sequence(datasets.Sequence(datasets.Value("double"))),
                 "dataset_name": datasets.Value("string"),
                 "subject_ID": datasets.Value("string")
                 # These are the features of your dataset like images, labels ...
@@ -164,14 +164,12 @@ 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 = []
-        for root, dirs, files in os.walk(filepath):
-            for file in files:
-                if file.endswith('.gz'):
-                    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']
+            del data['mri_seg_dict']
+            del data['smpl_dict']
             print(key)
+            print(data.keys())
             yield key, data