Update VGGFace2.py

VGGFace2.py

@@ -78,20 +78,23 @@ class VGGFace2(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         features = {
-            "file": datasets.Image(),
+            "image": datasets.Image(),
             "image_id": datasets.Value("string"),
             "class_id": datasets.Value("string"),
             "identity": datasets.Value("string"),
-            "male": datasets.Value("binary"),
-            "black_hair": datasets.Value("string"),
-            "gray_hair": datasets.Value("string"),
-            "blond_hair": datasets.Value("string"),
-            "long_hair": datasets.Value("string"),
-            "mustache_or_beard": datasets.Value("string"),
-            "wearing_hat": datasets.Value("string"),
-            "eyeglasses": datasets.Value("string"),
-            "sunglasses": datasets.Value("string"),
-            "mouth_open": datasets.Value("string"),
+            'gender': dataset.Value("string"),
+            'sample_num':dataset.Value("int"), 
+            'flag':dataset.Value("bool"),
+            "male": datasets.Value("bool"),
+            "black_hair": datasets.Value("bool"),
+            "gray_hair": datasets.Value("bool"),
+            "blond_hair": datasets.Value("bool"),
+            "long_hair": datasets.Value("bool"),
+            "mustache_or_beard": datasets.Value("bool"),
+            "wearing_hat": datasets.Value("bool"),
+            "eyeglasses": datasets.Value("bool"),
+            "sunglasses": datasets.Value("bool"),
+            "mouth_open": datasets.Value("bool"),
         }
 
         return datasets.DatasetInfo(
@@ -157,14 +160,11 @@ class VGGFace2(datasets.GeneratorBasedBuilder):
             temp.drop(columns=['Image_Path'], inplace=True)
             
             result_df = meta.merge(temp, on='Class_ID', how='outer')
-        raise Exception(result_df)
         for file_path, file_obj in paths:
-            if file_path.startswith(_IMAGES_DIR):
-                if file_path[len(_IMAGES_DIR) : -len(".jpg")] in files_to_keep:
-                    clip_index = int(clip.stem)
+                raise Exception(file_path)
 
-                    label = file_path.split("/")[2]
-                    yield file_path, {
+                label = file_path.split("/")[2]
+                yield file_path, {
                         "image": {"path": file_path, "bytes": file_obj.read()},
                         "label": label,
                     }