Update hugging_face.py

hugging_face.py

@@ -87,32 +87,32 @@ class RDD2020_Dataset(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "images_dir": os.path.join(extracted_path, "train", "images"),
+                    "filepath": os.path.join(extracted_path, "train"),
                     "split": "train",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST1,
                 gen_kwargs={
-                    "images_dir": os.path.join(extracted_path, "test1", "images"),
+                    "filepath": os.path.join(extracted_path, "test1"),
                     "split": "test1",
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST2,
                 gen_kwargs={
-                    "images_dir": os.path.join(extracted_path, "test2", "images"),
+                    "filepath": os.path.join(extracted_path, "test2"),
                     "split": "test2",
                 },
             ),
         ]
 
-    def _generate_examples(self, extracted_path, split):
+    def _generate_examples(self, filepath, split):
         
         # Iterate over each country directory
         for country_dir in ['Czech', 'India', 'Japan']:
-            images_dir = f"{extracted_path}/{country_dir}/images"
-            annotations_dir = f"{extracted_path}/{country_dir}/annotations/xmls" if split == "train" else None
+            images_dir = f"{filepath}/{country_dir}/images"
+            annotations_dir = f"{filepath}/{country_dir}/annotations/xmls" if split == "train" else None
 
             # Iterate over each image in the country's image directory
             for image_file in os.listdir(images_dir):