Update README.md

README.md

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 - **Homepage:** [ChinaOpen homepage](https://ruc-aimc-lab.github.io/ChinaOpen/)
 - **Paper:** [ChinaOpen: A Dataset for Open-World Multimodal Learning](https://doi.org/10.1145/3581783.3612156)
-- **Point of Contact:** [Xirong Li](xirong@ruc.edu.cn)  
+- **Point of Contact:** [Aozhu Chen](caz@ruc.edu.cn)  
 
 ### Dataset Summary
-ChinaOpen is a dataset sourced from Bilibili, a popular Chinese video-sharing website, for open-world multimodal learning. While the state-of-the-art multimodal learning networks have shown impressive performance in automated video annotation and cross-modal video retrieval, their training and evaluation are primarily conducted on YouTube videos with English text. Their effectiveness on Chinese data remains to be verified. For a multi-faceted evaluation, we build ChinaOpen-1k, a manually labeled test set of 1k videos. Each test video is accompanied with a manually checked user title and a manually written caption. Besides, each video is manually tagged to describe objects / actions / scenes shown in the visual content. The original user tags are also manually checked.    
+ChinaOpen-1k is a dataset sourced from Bilibili, a popular Chinese video-sharing website. It is a manually annotated test set of videos, including manually checked user titles/tags, manually written captions, and manual labels describing the visual objects/actions/scenes shown in the content.
 ### Languages
-It is a Chinese dataset. Moreover, with all the Chinese text translated into English, ChinaOpen-1k is also suited for evaluating models trained on English data.  
+Chinese and English
 ## Dataset Structure
 All the files are put in a zip package.
 ```bash