diff --git a/mindspore/dataset/engine/validators.py b/mindspore/dataset/engine/validators.py
index 9a95463beeeb9f5517ddea225168748dad45231e..4c8388ea639f40951f66a31a4614fe427f6ee2e2 100644
--- a/mindspore/dataset/engine/validators.py
+++ b/mindspore/dataset/engine/validators.py
@@ -1483,7 +1483,7 @@ def check_numpyslicesdataset(method):
 
             # Consider input is a tuple of dict
             elif isinstance(data[0], dict):
-                data_column = np.sum(len(list(data[i].keys())) for i in range(len(data)))
+                data_column = sum(len(list(data[i].keys())) for i in range(len(data)))
                 if column_num != data_column:
                     raise ValueError("Num of column is {0}, but required is {1}.".format(column_num, data_column))
 
diff --git a/mindspore/dataset/transforms/vision/py_transforms.py b/mindspore/dataset/transforms/vision/py_transforms.py
index ee5a4b09fdae46a661e96efacd8736d66b009f68..b252c3434b988abbb9be50a28fb0947244ff95d5 100644
--- a/mindspore/dataset/transforms/vision/py_transforms.py
+++ b/mindspore/dataset/transforms/vision/py_transforms.py
@@ -606,7 +606,7 @@ class RandomRotation:
 
 class RandomOrder:
     """
-    Perform a series of transforms to the input PIL image in a random oreder.
+    Perform a series of transforms to the input PIL image in a random order.
 
     Args:
         transforms (list): List of the transformations to be applied.
@@ -1087,7 +1087,7 @@ class RandomAffine:
             The horizontal and vertical shift is selected randomly from the range:
             (-tx*width, tx*width) and (-ty*height, ty*height), respectively.
             If None, no translations gets applied.
-        scale (sequence, optional): Scaling factor interval (default=None, riginal scale is used).
+        scale (sequence, optional): Scaling factor interval (default=None, original scale is used).
         shear (int or float or sequence, optional): Range of shear factor (default=None).
             If a number 'shear', then a shear parallel to the x axis in the range of (-shear, +shear) is applied.
             If a tuple or list of size 2, then a shear parallel to the x axis in the range of (shear[0], shear[1])