diff --git a/fluid/PaddleCV/ocr_recognition/train.py b/fluid/PaddleCV/ocr_recognition/train.py
index 7954d23dc02c93159315e4220ec2db0289fddb44..2e294907a6bbac5f311c420ad22d51eafa972da7 100755
--- a/fluid/PaddleCV/ocr_recognition/train.py
+++ b/fluid/PaddleCV/ocr_recognition/train.py
@@ -24,6 +24,10 @@ add_arg('log_period',        int,   1000,       "Log period.")
 add_arg('save_model_period', int,   15000,      "Save model period. '-1' means never saving the model.")
 add_arg('eval_period',       int,   15000,      "Evaluate period. '-1' means never evaluating the model.")
 add_arg('save_model_dir',    str,   "./models", "The directory the model to be saved to.")
+add_arg('train_images',      str,   None,       "The directory of images to be used for training.")
+add_arg('train_list',        str,   None,       "The list file of images to be used for training.")
+add_arg('test_images',       str,   None,       "The directory of images to be used for test.")
+add_arg('test_list',         str,   None,       "The list file of images to be used for training.")
 add_arg('model',    str,   "crnn_ctc",           "Which type of network to be used. 'crnn_ctc' or 'attention'")
 add_arg('init_model',        str,   None,       "The init model file of directory.")
 add_arg('use_gpu',           bool,  True,      "Whether use GPU to train.")
@@ -48,10 +52,6 @@ def train(args):
         get_feeder_data = get_attention_feeder_data
 
     num_classes = None
-    train_images = None
-    train_list = None
-    test_images = None
-    test_list = None
     num_classes = data_reader.num_classes(
     ) if num_classes is None else num_classes
     data_shape = data_reader.data_shape()
@@ -62,12 +62,12 @@ def train(args):
     # data reader
     train_reader = data_reader.train(
         args.batch_size,
-        train_images_dir=train_images,
-        train_list_file=train_list,
+        train_images_dir=args.train_images,
+        train_list_file=args.train_list,
         cycle=args.total_step > 0,
         model=args.model)
     test_reader = data_reader.test(
-        test_images_dir=test_images, test_list_file=test_list, model=args.model)
+        test_images_dir=args.test_images, test_list_file=args.test_list, model=args.model)
 
     # prepare environment
     place = fluid.CPUPlace()