All datasets / Racktic
Racktic/VLMEvalKit
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licence
- Not declared in the tag or the card (see datasets with no declared licence)Evidence: README.md at b5beb60
- Licence files
LICENSE, detected asapache-2.0Evidence: LICENSE at b5beb60- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Citation text from the card
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[](https://github.com/open-compass/VLMEvalKit/stargazers)
If you use VLMEvalKit in your research or wish to refer to published OpenSource evaluation results, please use the following BibTeX entry and the BibTex entry corresponding to the specific VLM / benchmark you used.
```bib
@inproceedings{duan2024vlmevalkit,
title={Vlmevalkit: An open-source toolkit for evaluating large multi-modality models},
author={Duan, Haodong and Yang, Junming and Qiao, Yuxuan and Fang, Xinyu and Chen, Lin and Liu, Yuan and Dong, Xiaoyi and Zang, Yuhang and Zhang, Pan and Wang, Jiaqi and others},
booktitle={Proceedings of the 32nd ACM International Conference on Multimedia},
pages={11198--11201},
year={2024}
}
```
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[github-contributors-link]: https://github.com/open-compass/VLMEvalKit/graphs/contributors
[github-contributors-shield]: https://img.shields.io/github/contributors/open-compass/VLMEvalKit?color=c4f042&labelColor=black&style=flat-square
[github-forks-link]: https://github.com/open-compass/VLMEvalKit/network/members
[github-forks-shield]: https://img.shields.io/github/forks/open-compass/VLMEvalKit?color=8ae8ff&labelColor=black&style=flat-square
[github-issues-link]: https://github.com/open-compass/VLMEvalKit/issues
[github-
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dataset_licence({ "id": "Racktic/VLMEvalKit" })
signal: "unclear"
stated_licence: null
sources: 0