diff --git a/datasets/combine_A_and_B.py b/datasets/combine_A_and_B.py
deleted file mode 100644
index d3d88aa318e..00000000000
--- a/datasets/combine_A_and_B.py
+++ /dev/null
@@ -1,67 +0,0 @@
-import os
-import numpy as np
-import cv2
-import argparse
-from multiprocessing import Pool
-
-
-def image_write(path_A, path_B, path_AB):
-    im_A = cv2.imread(path_A, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
-    im_B = cv2.imread(path_B, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
-    im_AB = np.concatenate([im_A, im_B], 1)
-    cv2.imwrite(path_AB, im_AB)
-
-
-parser = argparse.ArgumentParser('create image pairs')
-parser.add_argument('--fold_A', dest='fold_A', help='input directory for image A', type=str, default='../dataset/50kshoes_edges')
-parser.add_argument('--fold_B', dest='fold_B', help='input directory for image B', type=str, default='../dataset/50kshoes_jpg')
-parser.add_argument('--fold_AB', dest='fold_AB', help='output directory', type=str, default='../dataset/test_AB')
-parser.add_argument('--num_imgs', dest='num_imgs', help='number of images', type=int, default=1000000)
-parser.add_argument('--use_AB', dest='use_AB', help='if true: (0001_A, 0001_B) to (0001_AB)', action='store_true')
-parser.add_argument('--no_multiprocessing', dest='no_multiprocessing', help='If used, chooses single CPU execution instead of parallel execution', action='store_true',default=False)
-args = parser.parse_args()
-
-for arg in vars(args):
-    print('[%s] = ' % arg, getattr(args, arg))
-
-splits = os.listdir(args.fold_A)
-
-if not args.no_multiprocessing:
-    pool=Pool()
-
-for sp in splits:
-    img_fold_A = os.path.join(args.fold_A, sp)
-    img_fold_B = os.path.join(args.fold_B, sp)
-    img_list = os.listdir(img_fold_A)
-    if args.use_AB:
-        img_list = [img_path for img_path in img_list if '_A.' in img_path]
-
-    num_imgs = min(args.num_imgs, len(img_list))
-    print('split = %s, use %d/%d images' % (sp, num_imgs, len(img_list)))
-    img_fold_AB = os.path.join(args.fold_AB, sp)
-    if not os.path.isdir(img_fold_AB):
-        os.makedirs(img_fold_AB)
-    print('split = %s, number of images = %d' % (sp, num_imgs))
-    for n in range(num_imgs):
-        name_A = img_list[n]
-        path_A = os.path.join(img_fold_A, name_A)
-        if args.use_AB:
-            name_B = name_A.replace('_A.', '_B.')
-        else:
-            name_B = name_A
-        path_B = os.path.join(img_fold_B, name_B)
-        if os.path.isfile(path_A) and os.path.isfile(path_B):
-            name_AB = name_A
-            if args.use_AB:
-                name_AB = name_AB.replace('_A.', '.')  # remove _A
-            path_AB = os.path.join(img_fold_AB, name_AB)
-            if not args.no_multiprocessing:
-                pool.apply_async(image_write, args=(path_A, path_B, path_AB))
-            else:
-                im_A = cv2.imread(path_A, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
-                im_B = cv2.imread(path_B, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
-                im_AB = np.concatenate([im_A, im_B], 1)
-                cv2.imwrite(path_AB, im_AB)
-if not args.no_multiprocessing:
-    pool.close()
-    pool.join()