diff --git a/configs/rec/rec_chinese_reader.yml b/configs/rec/rec_chinese_reader.yml
index 19561dd27e3f1bb0e4de3e2a0cf1c2b3aaf0557f..9b742753e7e6b7ad4cba7539d67cb692a134d052 100755
--- a/configs/rec/rec_chinese_reader.yml
+++ b/configs/rec/rec_chinese_reader.yml
@@ -2,12 +2,12 @@ TrainReader:
   reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
   num_workers: 8
   img_set_dir: ./train_data
-  label_file_path: ./train_data/gt_train.txt
+  label_file_path: ./train_data/train_label.txt
   
 EvalReader:
   reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
   img_set_dir: ./train_data
-  label_file_path: ./train_data/gt_test.txt
+  label_file_path: ./train_data/test_label.txt
 
 TestReader:
   reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
diff --git a/configs/rec/rec_ic15_reader.yml b/configs/rec/rec_ic15_reader.yml
new file mode 100755
index 0000000000000000000000000000000000000000..19561dd27e3f1bb0e4de3e2a0cf1c2b3aaf0557f
--- /dev/null
+++ b/configs/rec/rec_ic15_reader.yml
@@ -0,0 +1,13 @@
+TrainReader:
+  reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
+  num_workers: 8
+  img_set_dir: ./train_data
+  label_file_path: ./train_data/gt_train.txt
+  
+EvalReader:
+  reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
+  img_set_dir: ./train_data
+  label_file_path: ./train_data/gt_test.txt
+
+TestReader:
+  reader_function: ppocr.data.rec.dataset_traversal,SimpleReader
diff --git a/configs/rec/rec_ic15_train.yml b/configs/rec/rec_ic15_train.yml
new file mode 100755
index 0000000000000000000000000000000000000000..05105f0445853b4ee32b720e1049f3c418f09334
--- /dev/null
+++ b/configs/rec/rec_ic15_train.yml
@@ -0,0 +1,42 @@
+Global:
+  algorithm: CRNN
+  use_gpu: true
+  epoch_num: 300
+  log_smooth_window: 20
+  print_batch_step: 10
+  save_model_dir: output_ic15
+  save_epoch_step: 3
+  eval_batch_step: 2000
+  train_batch_size_per_card: 256
+  test_batch_size_per_card: 256
+  image_shape: [3, 32, 100]
+  max_text_length: 25
+  character_type: ch
+  character_dict_path: ./ppocr/utils/ic15_dict.txt
+  loss_type: ctc
+  reader_yml: ./configs/rec/rec_ic15_reader.yml
+  pretrain_weights: ./pretrain_models/best_accuracy 
+  infer_img: ./infer_img 
+
+Architecture:
+  function: ppocr.modeling.architectures.rec_model,RecModel
+
+Backbone:
+  function: ppocr.modeling.backbones.rec_mobilenet_v3,MobileNetV3
+  scale: 0.5
+  model_name: small
+
+Head:
+  function: ppocr.modeling.heads.rec_ctc_head,CTCPredict
+  encoder_type: rnn
+  SeqRNN:
+    hidden_size: 48
+    
+Loss:
+  function: ppocr.modeling.losses.rec_ctc_loss,CTCLoss
+
+Optimizer:
+  function: ppocr.optimizer,AdamDecay
+  base_lr: 0.001
+  beta1: 0.9
+  beta2: 0.999
diff --git a/tools/eval.py b/tools/eval.py
index 3b176648812fff74e9878e0b789b6d6f66fc70f5..949f3a343e6f512995363d60c7b6cd3d2e9535f3 100755
--- a/tools/eval.py
+++ b/tools/eval.py
@@ -80,7 +80,7 @@ def main():
         metrics = eval_det_run(exe, config, eval_info_dict, "test")
     else:
         reader_type = config['Global']['reader_yml']
-        if "chinese" in reader_type:
+        if "benchmark" not in reader_type:
             eval_reader = reader_main(config=config, mode="eval")
             eval_info_dict = {'program': eval_program, \
                               'reader': eval_reader, \