fixed style

official/nlp/data/classifier_data_lib.py

@@ -121,7 +121,7 @@ class DataProcessor(object):
       return lines
 
   @classmethod
-  def _read_jsonl(self, input_path):
+  def _read_jsonl(cls, input_file):
     """Reads a json line file."""
     with tf.io.gfile.GFile(input_path, "r") as f:
       lines = []

official/nlp/data/create_finetuning_data.py

@@ -49,7 +49,7 @@ flags.DEFINE_string(
 flags.DEFINE_enum(
     "classification_task_name", "MNLI", [
         "AX", "COLA", "IMDB", "MNLI", "MRPC", "PAWS-X", "QNLI", "QQP", "RTE",
-        "SST-2", "STS-B", "WNLI", "XNLI", "XTREME-XNLI", "XTREME-PAWS-X", "AX-g", 
+        "SST-2", "STS-B", "WNLI", "XNLI", "XTREME-XNLI", "XTREME-PAWS-X", "AX-g",
         "RTE-SuperGLUE"
     ], "The name of the task to train BERT classifier. The "
     "difference between XTREME-XNLI and XNLI is: 1. the format "