Update test.py

test.py

@@ -567,29 +567,29 @@ class Food500(datasets.GeneratorBasedBuilder):
         split_metadata_path = dl_manager.download(_METADATA_URL)
         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().encode(encoding="utf-8").split("\n"))
-            if file_path == _VALID_TXT: valid_set = set(file_obj.read().encode(encoding="utf-8").split("\n"))
-            if file_path == _TEST_TXT: test_set = set(file_obj.read().encode(encoding="utf-8").split("\n"))
+            if file_path == _TRAIN_TXT: train_set = set(file_obj.read().split("\n"))
+            if file_path == _VALID_TXT: valid_set = set(file_obj.read().split("\n"))
+            if file_path == _TEST_TXT: test_set = set(file_obj.read().split("\n"))
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
-                    "metadata_set": train_set,
+                    "metadata_set": set(),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
-                    "metadata_set": valid_set,
+                    "metadata_set": set(),
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
-                    "metadata_set": test_set,
+                    "metadata_set": set(),
                 },
             ),
         ]