Uni-MoE/VideoVista-Event
π Citation If you find our data is useful for your work, please cite our work: @article{li2024videovista, title={Videovista: A versatile benchmark for video understanding and reasoning}, author={Li, Yunxin and Chen, Xinyu and Hu, Baotian and Wang, Longyue and Shi, Haoyuan and Zhang, Min}, journal={arXiv preprint arXiv:2406.11303}, year={2024} } This dataset provides sequences of video event descriptions, automatically generated by our annotation framework. The codeβ¦ See the full description on the dataset page: https://huggingface.co/datasets/Uni-MoE/VideoVista-Event.
| Author / organization | Uni-MoE |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 224 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 12 September 2024 |
| Last updated at source | 3 June 2025 |
Recent changes
- 16 Oct 2026 Description: π Citation If you find our data is useful for your work, please cite our work: @article{li2024videovista, title={Videovista: A versatile benchmark for video understanding and reasoning}, author={Li, Yunxin and Chen, Xinyu and Hu, Baotian a β π Citation If you find our data is useful for your work, please cite our work: @article{li2024videovista, title={Videovista: A versatile benchmark for video understanding and reasoning}, author={Li, Yunxin and Chen, Xinyu and Hu, Baotian a
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