Fix quality

examples/pytorch/token-classification/run_ner_no_trainer.py

@@ -76,10 +76,16 @@ def parse_args():
         "--validation_file", type=str, default=None, help="A csv or a json file containing the validation data."
     )
     parser.add_argument(
-        "--text_column_name", type=str, default=None, help="The column name of text to input in the file (a csv or JSON file)."
+        "--text_column_name",
+        type=str,
+        default=None,
+        help="The column name of text to input in the file (a csv or JSON file).",
     )
     parser.add_argument(
-        "--label_column_name", type=str, default=None, help="The column name of label to input in the file (a csv or JSON file)."
+        "--label_column_name",
+        type=str,
+        default=None,
+        help="The column name of label to input in the file (a csv or JSON file).",
     )
     parser.add_argument(
         "--max_length",
@@ -266,17 +272,17 @@ def main():
         column_names = raw_datasets["validation"].column_names
         features = raw_datasets["validation"].features
 
-    if data_args.text_column_name is not None:
-        text_column_name = data_args.text_column_name
+    if args.text_column_name is not None:
+        text_column_name = args.text_column_name
     elif "tokens" in column_names:
         text_column_name = "tokens"
     else:
         text_column_name = column_names[0]
 
-    if data_args.label_column_name is not None:
-        label_column_name = data_args.label_column_name
-    elif f"{data_args.task_name}_tags" in column_names:
-        label_column_name = f"{data_args.task_name}_tags"
+    if args.label_column_name is not None:
+        label_column_name = args.label_column_name
+    elif f"{args.task_name}_tags" in column_names:
+        label_column_name = f"{args.task_name}_tags"
     else:
         label_column_name = column_names[1]