diff --git a/README.md b/README.md
index 0dd4c74..b8886b9 100644
--- a/README.md
+++ b/README.md
@@ -30,6 +30,7 @@ EasyAnimate is a pipeline based on the transformer architecture that can be used
 We will support quick pull-ups from different platforms, refer to [Quick Start](#quick-start).
 
 What's New:
+- Add Code for [video-caption](./easyanimate/video_caption/). [ 2024.04.17 ]
 - Create Code! Support for Windows and Linux Now. [ 2024.04.12 ]
 
 These are our generated results:
@@ -255,6 +256,9 @@ Then, we run scripts/train_t2v.sh.
 sh scripts/train_t2v.sh
 ```
 
+##### iii、Dataset Captioning (Optional)
+We provide the captioning pipeline to get detailed descriptions of the video dataset. Please refer to [video_caption](./easyanimate/video_caption/) for details.
+
 #### b、Training text to image model
 ##### i、Base on diffusers format
 The format of dataset can be set as diffuser format.
diff --git a/README_zh-CN.md b/README_zh-CN.md
index e39cd7f..83fbbf0 100644
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@@ -30,6 +30,7 @@ EasyAnimate是一个基于transformer结构的pipeline，可用于生成AI动画
 我们会逐渐支持从不同平台快速启动，请参阅 [快速启动](#快速启动)。
 
 新特性：
+- 添加视频数据标注的[代码](./easyanimate/video_caption/)。[ 2024.04.17 ]
 - 创建代码！现在支持 Windows 和 Linux。[ 2024.04.12 ]
 
 这些是我们的生成结果:
@@ -252,6 +253,9 @@ train_data_format="normal"
 sh scripts/train_t2v.sh
 ```
 
+##### iii、标注视频数据集（可选）
+如果需要获取更为详细且丰富的视频描述，请参考 [video_caption](./easyanimate/video_caption/)。
+
 #### b、训练基础文生图模型
 ##### i、基于diffusers格式
 数据集的格式可以设置为diffusers格式。