vocsim/avian-perception-benchmark

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at ad69b17
Licence files: No licence file at the top level of the repositoryEvidence: file list at ad69b17
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{basha2026vocsim,
  title     = {VocSim: A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio},
  author    = {Basha, Maris and Zai, Anja T. and Stoll, Sabine and Hahnloser, Richard H. R.},
  booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML)},
  year      = {2026},
  doi       = {10.48550/arXiv.2512.10120}
}

@article{zandberg2024bird,
  author    = {Zandberg, Lies and Morfi, Veronica and George, Julia M. and Clayton, David F. and Stowell, Dan and Lachlan, Robert F.},
  title     = {Bird song comparison using deep learning trained from avian perceptual judgments},
  journal   = {PLoS Computational Biology},
  volume    = {20},
  number    = {8},
  pages     = {e1012329},
  year      = {2024},
  doi       = {10.1371/journal.pcbi.1012329},
  publisher = {Public Library of Science}
}

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dataset_licence({ "id": "vocsim/avian-perception-benchmark" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0