Rename test1.py to test.py

test1.py → test.py

@@ -535,11 +535,11 @@ _NAMES = [
 
 _IMAGES_DIR = "ISIA_Food500/images"
 
-_TRAIN_TXT = "metadata_ISIAFood_500/train_feature.txt"
+_TRAIN_TXT = "train_feature.txt"
 
-_VALID_TXT = "metadata_ISIAFood_500/val_feature.txt"
+_VALID_TXT = "val_feature.txt"
 
-_TEST_TXT = "metadata_ISIAFood_500/test_feature.txt"
+_TEST_TXT = "test_feature.txt"
 
 
 class Food500(datasets.GeneratorBasedBuilder):
@@ -564,45 +564,28 @@ 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: 
-                #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")))
-            """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:
-                    valid_set = set(f.read().split("\n"))
-            if file_path == _TEST_TXT: 
-                # 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"))"""
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
-                    "metadata_path": "train_feature.txt",
+                    "metadata_path": _TRAIN_TXT,
                 },
             ),
-            """datasets.SplitGenerator(
+            datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
-                    "metadata_set": valid_set,
+                    "metadata_path": _VALID_TXT,
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "images": dl_manager.iter_archive(archive_path),
-                    "metadata_set": test_set,
+                    "metadata_path": _TEST_TXT,
                 },
-            ),"""
+            ),
         ]
 
     def _generate_examples(self, images, metadata_path):