Update renovation.py

renovation.py

@@ -56,53 +56,52 @@ class Renovations(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data_files = dl_manager.download_and_extract(_URLS)
+        data_dir = dl_manager.download_and_extract(_URLS)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "data_files": data_files,
+                    "data_dir": data_dir,
                     "split": "train",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "data_files": data_files,
+                    "data_dir": data_dir,
                     "split": "val",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "data_files": data_files,
+                    "data_dir": data_dir,
                     "split": "test",
                 },
             ),
         ]
 
-    def _generate_examples(self, data_files, split):
-        all_files_and_labels = []
-        for label, zip_path in data_files.items():
-            with zipfile.ZipFile(zip_path, "r") as zip_ref:
-                folder_name = os.path.splitext(os.path.basename(zip_path))[0]  # Get the folder name without extension
-                files = [f for f in zip_ref.namelist() if f.startswith(folder_name + "/") and f.endswith(".jpeg")]
-                for file in files:
-                    file_path = os.path.join(self.config.data_dir, os.path.basename(zip_path)[:-4], file)
-                    all_files_and_labels.append((file_path, label))
 
+    def _generate_examples(self, data_dir, split):
+        all_files_and_labels = []
+        for label in _NAMES:
+            folder_path = os.path.join(data_dir, label)
+            files = glob.glob(os.path.join(folder_path, "*.jpeg"))
+            for file in files:
+                all_files_and_labels.append((file, label))
+    
         random.seed(43)  # ensure reproducibility
         random.shuffle(all_files_and_labels)
-
+    
         num_files = len(all_files_and_labels)
         train_data = all_files_and_labels[:int(num_files*0.9)]
         val_test_data = all_files_and_labels[int(num_files*0.9):]  # This will be used for both val and test
-
+    
         if split == "train":
             data_to_use = train_data
         else:  # "val" or "test" split
             data_to_use = val_test_data
-
+    
         for idx, (file, label) in enumerate(data_to_use):
             yield idx, {
                 "image_file_path": file,
@@ -111,3 +110,4 @@ class Renovations(datasets.GeneratorBasedBuilder):
             }
 
 
+