diff --git a/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md b/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md
index 2c9ace1c26a46ae1f66844b0666df0ab4a34fe8b..2cf7667f172c3893762af7cf0ae8a7b0120ab853 100644
--- a/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md
+++ b/PyTorch/built-in/nlp/Bert_Chinese_ID3433_for_PyTorch/README.md
@@ -86,7 +86,7 @@ BERT的全称是Bidirectional Encoder Representation from Transformers，即双
 
 1. 获取数据集。
 
-    下载 `zhwiki` 数据集。
+    用户自行下载 `zhwiki` 数据集。
 
     解压得到zhwiki-latest-pages-articles.xml。
 
diff --git a/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md b/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md
index 1bf656948326e6423d0d33f710585869aa5b370c..3c1d2884dc5df46b5af9577f8b0f24ca99e52514 100644
--- a/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md
+++ b/PyTorch/contrib/cv/classification/InceptionV3_ID1596_for_PyTorch/README.md
@@ -83,7 +83,7 @@ GoogLeNet对网络中的传统卷积层进行了修改，提出了被称为Incep
 
 1. 获取数据集。
 
-   下载 `ImageNet` 开源数据集，将数据集上传到服务器任意路径下并解压。
+   用户自行下载 `ImageNet` 开源数据集，将数据集上传到服务器任意路径下并解压。
 
    数据集目录结构参考如下所示。