VLM2Vec/MSR-VTT
Clone from "friedrichor/MSR-VTT". MSRVTT contains 10K video clips and 200K captions. We adopt the standard 1K-A split protocol, which was introduced in JSFusion and has since become the de facto benchmark split in the Text-Video Retrieval field. Train: train_7k: 7,010 videos, 140,200 captions train_9k: 9,000 videos, 180,000 captions Test: test_1k: 1,000 videos, 1,000 captions 🌟 Citation @inproceedings{xu2016msrvtt, title={Msr-vtt: A large video description dataset… See the full description on the dataset page: https://huggingface.co/datasets/VLM2Vec/MSR-VTT.
Clone from "friedrichor/MSR-VTT".
MSRVTT contains 10K video clips and 200K captions.
We adopt the standard 1K-A split protocol, which was introduced in JSFusion and has since become the de facto benchmark split in the Text-Video Retrieval field.
Train:
- train_7k: 7,010 videos, 140,200 captions
- train_9k: 9,000 videos, 180,000 captions
Test:
- test_1k: 1,000 videos, 1,000 captions
🌟 Citation
@inproceedings{xu2016msrvtt,
title={Msr-vtt: A large video description dataset for bridging video and language},
author={Xu, Jun and Mei, Tao and Yao, Ting and Rui, Yong},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2016}
}