Update test.py

test.py

@@ -568,11 +568,9 @@ class Food500(datasets.GeneratorBasedBuilder):
         metadata = dl_manager.iter_archive(split_metadata_path)
         for file_path, file_obj in metadata:
             if file_path == _TRAIN_TXT: 
-                # train_set = set(file_obj.read().split("\n"))
-                # train_set = {path.encode("utf-8") for path in train_set}
-                with open(file_path, encoding="utf-8") as f:
-                    train_set = set(f.read().split("\n"))
-            if file_path == _VALID_TXT: 
+                train_set = set(file_obj.read().split("\n"))
+                train_set = {path.encode("utf-8") for path in train_set}
+            """if file_path == _VALID_TXT: 
                 # valid_set = set(file_obj.read().split("\n"))
                 # valid_set = {path.encode("utf-8") for path in valid_set}
                 with open(file_path, encoding="utf-8") as f:
@@ -581,8 +579,7 @@ class Food500(datasets.GeneratorBasedBuilder):
                 # test_set = set(file_obj.read().split("\n"))
                 # test_set = {path.encode("utf-8") for path in test_set}
                 with open(file_path, encoding="utf-8") as f:
-                    test_set = set(f.read().split("\n"))
-            pass
+                    test_set = set(f.read().split("\n"))"""
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -591,7 +588,7 @@ class Food500(datasets.GeneratorBasedBuilder):
                     "metadata_set": train_set,
                 },
             ),
-            datasets.SplitGenerator(
+            """datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
@@ -604,7 +601,7 @@ class Food500(datasets.GeneratorBasedBuilder):
                     "images": dl_manager.iter_archive(archive_path),
                     "metadata_set": test_set,
                 },
-            ),
+            ),"""
         ]
 
     def _generate_examples(self, images, metadata_set):