diff --git a/generate_data.py b/generate_data.py
new file mode 100644
index 0000000..97797d0
--- /dev/null
+++ b/generate_data.py
@@ -0,0 +1,44 @@
+import os
+import paddle as paddle
+from multiprocessing import cpu_count
+import numpy as np
+from PIL import Image
+
+data_path='./data_set'
+train_data='./train_data.list'
+test_data='./test_data.list'
+characters_folders=os.listdir(data_path)
+if(os.path.exists('./train_data.list')):
+    os.remove('./train_data.list')
+if(os.path.exists('./test_data.list')):
+    os.remove('./test_data.list')
+
+for characters_folder in characters_folders:
+    with open(train_data,'a') as f_train:
+        with open(test_data,'a') as f_test:
+            character_imgs = os.listdir(os.path.join(data_path,characters_folder))
+            count = 0
+            for img in character_imgs:
+                filePath = data_path+"/"+characters_folder+"/"+img
+                if count%10==0:
+                    f_test.write(filePath+"\t"+characters_folder+"\n")
+                else:
+                    f_train.write(filePath+"\t"+characters_folder+"\n")
+                count+=1
+def data_mapper(sample):
+    img, label = sample
+    img = Image.open(img)
+    img = img.resize((100, 100), Image.ANTIALIAS)
+    img = np.array(img).astype('float32')
+    img = img.transpose((2, 0, 1))
+    img = img/255.0
+    return img, label
+
+def data_reader(data_list_path):
+    def reader():
+        with open(data_list_path, 'r') as f:
+            lines = f.readlines()
+            for line in lines:
+                img, label = line.split('\t')
+                yield img, int(label)
+    return paddle.reader.xmap_readers(data_mapper, reader, cpu_count(), 512)
\ No newline at end of file