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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- zh |
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size_categories: |
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- 1K<n<10K |
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--- |
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## Dataset Description |
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- **Homepage:** [ChinaOpen homepage](https://ruc-aimc-lab.github.io/ChinaOpen/) |
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- **Paper:** [ChinaOpen: A Dataset for Open-World Multimodal Learning](https://doi.org/10.1145/3581783.3612156) |
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- **Point of Contact:** [Xirong Li](xirong@ruc.edu.cn) |
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### Dataset Summary |
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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. |
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### Languages |
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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. |
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## Dataset Structure |
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All the files are put in a zip package. |
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```bash |
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├── ChinaOpen-1k |
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├── video01.mp4 |
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├── video02.mp4 |
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├── video03.mp4 |
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├── [...] |
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└── ChinaOpen-1k-annotations.json |
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``` |
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### Data Instances |
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Please refer to https://ruc-aimc-lab.github.io/ChinaOpen/#examples |
