Update test.py

test.py

@@ -564,13 +564,13 @@ class Food500(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         archive_path = dl_manager.download(_BASE_URL)
-        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: 
+        #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().split("\n"))
                 #train_set = {path.encode("utf-8") for path in train_set}
-                train_set = set(("Abalone/Abalone_0001.jpg".encode("utf-8")))
+                #train_set = set(("Abalone/Abalone_0001.jpg".encode("utf-8")))
             """if file_path == _VALID_TXT: 
                 # valid_set = set(file_obj.read().split("\n"))
                 # valid_set = {path.encode("utf-8") for path in valid_set}
@@ -586,7 +586,7 @@ class Food500(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
-                    "metadata_set": train_set,
+                    "metadata_path": "train_feature.txt",
                 },
             ),
             """datasets.SplitGenerator(
@@ -605,11 +605,13 @@ class Food500(datasets.GeneratorBasedBuilder):
             ),"""
         ]
 
-    def _generate_examples(self, images, metadata_set):
+    def _generate_examples(self, images, metadata_path):
         """Generate images and labels for splits."""
+        with open(metadata_path, encoding="utf-8") as f:
+            files_to_keep = set(f.read().split("\n"))
         for file_path, file_obj in images:
             if file_path.startswith(_IMAGES_DIR):
-                if file_path[len(_IMAGES_DIR) : -len(".jpg")] in metadata_set:
+                if file_path[len(_IMAGES_DIR) : -len(".jpg")] in files_to_keep:
                     label = file_path.split("/")[2]
                     yield file_path, {
                         "image": {"path": file_path, "bytes": file_obj.read()},