diff --git a/modelscope/msdatasets/download/dataset_builder.py b/modelscope/msdatasets/download/dataset_builder.py
index ad5ebbcf..0c5c4154 100644
--- a/modelscope/msdatasets/download/dataset_builder.py
+++ b/modelscope/msdatasets/download/dataset_builder.py
@@ -223,18 +223,21 @@ class CsvDatasetBuilder(csv.Csv):
             if field_name.endswith(':FILE'):
                 transform_fields.append(field_name)
 
-        base_extracted_dir: Union[str, list] = self.split_path_dict.get(split_name, '')
+        base_extracted_dir: Union[str, list] = self.split_path_dict.get(
+            split_name, '')
         for field_name in transform_fields:
-            if isinstance(base_extracted_dir, list) and len(base_extracted_dir) > 0:
+            if isinstance(base_extracted_dir,
+                          list) and len(base_extracted_dir) > 0:
                 if df.shape[0] != len(base_extracted_dir):
                     logger.error(
                         f"Number of lines in meta-csv file for split '{split_name}' ({df.shape[0]}) "
-                        f"does not match number of data-files({len(base_extracted_dir)})!"
+                        f'does not match number of data-files({len(base_extracted_dir)})!'
                     )
                 else:
                     df[field_name] = base_extracted_dir
             elif isinstance(base_extracted_dir, str) and base_extracted_dir:
-                df[field_name] = df[field_name].apply(lambda x: os.path.join(base_extracted_dir, x))
+                df[field_name] = df[field_name].apply(
+                    lambda x: os.path.join(base_extracted_dir, x))
             else:
                 logger.warning(f'Nothing to do for field {field_name}')