diff --git a/examples/ge2e/README.md b/examples/ge2e/README.md
index de83b97..cded1c5 100644
--- a/examples/ge2e/README.md
+++ b/examples/ge2e/README.md
@@ -28,23 +28,23 @@ Currently supported datasets are  Librispeech-other-500, VoxCeleb, VoxCeleb2,ai-
 
 1. Librispeech/train-other-500
 
-   An English multispeaker dataset，URL https://www.openslr.org/resources/12/train-other-500.tar.gz，only the `train-other-500` subset is used.
+   An English multispeaker dataset，[URL](https://www.openslr.org/resources/12/train-other-500.tar.gz)，only the `train-other-500` subset is used.
 
 1. VoxCeleb1
 
-   An English multispeaker dataset，URL https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html , Audio Files from Dev A to Dev D should be downloaded, combined and extracted.
+   An English multispeaker dataset，[URL](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html) , Audio Files from Dev A to Dev D should be downloaded, combined and extracted.
 
 2. VoxCeleb2
 
-   An English multispeaker dataset，URL https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html , Audio Files from Dev A to Dev H should be downloaded, combined and extracted.
+   An English multispeaker dataset，[URL](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html) , Audio Files from Dev A to Dev H should be downloaded, combined and extracted.
 
 3. Aidatatang-200zh
 
-   A Mandarin Chinese multispeaker dataset ，URL https://www.openslr.org/62/ .
+   A Mandarin Chinese multispeaker dataset ，[URL](https://www.openslr.org/62/) .
 
 4. magicdata
 
-   A Mandarin Chinese multispeaker dataset ，URL https://www.openslr.org/68/ .
+   A Mandarin Chinese multispeaker dataset ，[URL](https://www.openslr.org/68/) .
 
 If you want to use other datasets, you can also download and preprocess it as long as it meets the needs described below.
 
diff --git a/examples/ge2e/README_cn.md b/examples/ge2e/README_cn.md
index bcc0730..d3d36f6 100644
--- a/examples/ge2e/README_cn.md
+++ b/examples/ge2e/README_cn.md
@@ -27,23 +27,23 @@ ge2e
 
 1. Librispeech/train-other-500
 
-   英文多说话人数据集，下载链接 https://www.openslr.org/resources/12/train-other-500.tar.gz，我们的实验中仅用到了 train-other-500 这个子集。
+   英文多说话人数据集，[下载链接](https://www.openslr.org/resources/12/train-other-500.tar.gz)，我们的实验中仅用到了 train-other-500 这个子集。
 
 1. VoxCeleb1
 
-   英文多说话人数据集，下载链接 https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html，需要下载其中的 Audio Files 中的 Dev A 到 Dev D 四个压缩文件并合并解压。
+   英文多说话人数据集，[下载链接](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html)，需要下载其中的 Audio Files 中的 Dev A 到 Dev D 四个压缩文件并合并解压。
 
 2. VoxCeleb2
 
-   英文多说话人数据集，下载链接 https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox2.html，需要下载其中的 Audio Files 中的 Dev A 到 Dev H 八个压缩文件并合并解压。
+   英文多说话人数据集，[下载链接](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox2.html)，需要下载其中的 Audio Files 中的 Dev A 到 Dev H 八个压缩文件并合并解压。
 
 3. Aidatatang-200zh
 
-   中文多说话人数据集，下载链接 https://www.openslr.org/62/ .
+   中文多说话人数据集，[下载链接](https://www.openslr.org/62/) .
 
 4. magicdata
 
-   中文多说话人数据集，下载链接 https://www.openslr.org/68/ .
+   中文多说话人数据集，[下载链接](https://www.openslr.org/68/) .
 
 如果用户需要使用其他的数据集，也可以自行下载并进行数据处理，只要符合如下的要求。