IMERSE-HF/Phantom_dataset_for_cotraining

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at e9ab6c2
Licence files: No licence file at the top level of the repositoryEvidence: file list at e9ab6c2
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@article{chen2026surgvil,
  title={SurgVIL: Scaling Surgical Robot Imitation Learning with Open-source Surgical Videos},
  author={Chen, Xinhao and Chen, JuoTung and Nelson, Nigel and Goldenberg, Antony and Haworth, Jesse and Huver, Sean D and Krieger, Axel},
  journal={arXiv preprint arXiv:2608.16058},
  year={2026}
}

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dataset_licence({ "id": "IMERSE-HF/Phantom_dataset_for_cotraining" })
signal: "permissive"
stated_licence: "mit"
sources: 0