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--- |
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configs: |
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- config_name: train_9k |
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data_files: |
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- split: train |
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path: "msrvtt_train_9k.json" |
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- config_name: train_7k |
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data_files: |
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- split: train |
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path: "msrvtt_train_7k.json" |
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- config_name: test_1k |
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data_files: |
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- split: test |
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path: "msrvtt_test_1k.json" |
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task_categories: |
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- text-to-video |
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- text-retrieval |
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- video-classification |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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[MSRVTT](https://openaccess.thecvf.com/content_cvpr_2016/html/Xu_MSR-VTT_A_Large_CVPR_2016_paper.html) contains 10K video clips and 200K captions. |
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We adopt the standard `1K-A split` protocol, which was introduced in [JSFusion](https://openaccess.thecvf.com/content_ECCV_2018/html/Youngjae_Yu_A_Joint_Sequence_ECCV_2018_paper.html) and has since become the de facto benchmark split in the `Text-Video Retrieval` field. |
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Train: |
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- train_7k: 7,010 videos, 140,200 captions |
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- train_9k: 9,000 videos, 180,000 captions |
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Test: |
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- test_1k: 1,000 videos, 1,000 captions |
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--- |
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## 🌟 Citation |
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```bibtex |
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@inproceedings{xu2016msrvtt, |
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title={Msr-vtt: A large video description dataset for bridging video and language}, |
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author={Xu, Jun and Mei, Tao and Yao, Ting and Rui, Yong}, |
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
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year={2016} |
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} |
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``` |
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|
