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OralGPT/MMOral-OPG-Bench

237 downloads in 30 days8 likesLast modified 15 Jun 2026View on Hugging Face
Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence
mit, from the tagEvidence: README.md at dbab248
Licence files
No licence file at the top level of the repositoryEvidence: file list at dbab248
Declared sources
None listed in the card metadata
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No
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Citation text from the card

@article{hao2025mmoral,
  title={Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis},
  author={Hao, Jing and Fan, Yuxuan and Sun, Yanpeng and Guo, Kaixin and Lin, Lizhuo and Yang, Jinrong and Ai, Qi Yong H and Wong, Lun M and Tang, Hao and Hung, Kuo Feng},
  journal={NeurIPS 2025},
  year={2025}
}
@article{hao2025oralgpt-omni,
  title={OralGPT-Omni: A Versatile Dental Multimodal Large Language Model},
  author={Hao, Jing and Liang, Yuci and Lin, Lizhuo and Fan, Yuxuan and Zhou, Wenkai and Guo, Kaixin and Ye, Zanting and Sun, Yanpeng and Zhang, Xinyu and Yang, Yanqi and others},
  journal={CVPR 2026},
  year={2025}
}
@article{fan2026oralgpt-plus,
  title={OralGPT-Plus: Learning to Use Visual Tools via Reinforcement Learning for Panoramic X-ray Analysis},
  author={Fan, Yuxuan and Hao, Jing and Chen, Hong and Bao, Jiahao and Shao, Yihua and Liang, Yuci and Hung, Kuo Feng and Tang, Hao},
  journal={CVPR 2026},
  year={2026}
}
@article{hao2025oraldataset,
  title={Characteristics, licensing, and ethical considerations of openly accessible oral-maxillofacial imaging datasets: a systematic review},
  author={Hao, Jing and Nalley, Andrew and Yeung, Andy Wai Kan and Tanaka, Ray and Ai, Qi Yong H and Lam, Walter Yu Hang and Shan, Zhiyi and Leung, Yiu Yan and AlHadidi, Abeer and Bornstein, Michael M and others},
  journal={npj Digital Medicine},
  volume={8},
  number={1},
  pages={412},
  year={2025},
  publisher={Nature Publishing G

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "OralGPT/MMOral-OPG-Bench" })
signal: "permissive"
stated_licence: "mit"
sources: 0