Update README.md

README.md

@@ -4,4 +4,30 @@ language:
 - zh
 size_categories:
 - 1K<n<10K
----
+---
+
+## Dataset Description
+
+
+- **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)  
+
+### 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.    
+### 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.  
+## Dataset Structure
+All the files are put in a zip package.
+```bash
+├── ChinaOpen-1k
+    ├── video01.mp4
+    ├── video02.mp4
+    ├── video03.mp4
+    ├── [...]
+    └── ChinaOpen-1k-annotations.json   
+```
+
+
+### Data Instances
+Please refer to https://ruc-aimc-lab.github.io/ChinaOpen/#examples