Update mhr_recognize_datasets.py

mhr_recognize_datasets.py

@@ -52,16 +52,19 @@ class MHRRecognizeDatasets(datasets.GeneratorBasedBuilder):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs=download_files,
+                gen_kwargs={
+                    "image_path": os.path.join(download_files[self.config.name+"_image"]),
+                    "label_path": os.path.join(download_files[self.config.name+"_label"]),
+                },
             )
         ]
         
-    def _generate_examples(self, files, **kwargs):
-        print(files, kwargs)
+    def _generate_examples(self, image_path, label_path):
+        print(image_path, label_path)
         if self.config.name == "whole_image":
         # Read csv with image labels
             label_csv = read_csv(_DATA_URL["whole_labels"])
-            for i, path in enumerate(files):
+            for i, path in enumerate(file_path):
                 file_name = os.path.basename(path)
                 # Get image id to filter the respective row of the csv 	
                 image_id = file_name