TUM/EgoExOR

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The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at 0206c11
Licence files: No licence file at the top level of the repositoryEvidence: file list at 0206c11
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

@inproceedings{NEURIPS2025_5e3ffa2c,
  author = {\"{O}zsoy, Ege and Mamur, Arda and Tristram, Felix and Pellegrini, Chantal and Wysocki, Magdalena and Busam, Benjamin and Navab, Nassir},
  booktitle = {Advances in Neural Information Processing Systems},
  editor = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
  pages = {},
  publisher = {Curran Associates, Inc.},
  title = {EgoExOR: An Ego-Exo-Centric  Operating Room Dataset for Surgical Activity Understanding},
  url = {https://proceedings.neurips.cc/paper_files/paper/2025/file/5e3ffa2c53dce23986ca0f8d1d2bbc7e-Paper-Datasets_and_Benchmarks_Track.pdf},
  volume = {38},
  year = {2025}
}

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dataset_licence({ "id": "TUM/EgoExOR" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0