{
 "id": "Tairooonz/dataset_strix",
 "owner": "Tairooonz",
 "name": "dataset_strix",
 "downloads": 34,
 "likes": 1,
 "last_modified": "2026-06-12T23:18:36.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "audio-classification"
 ],
 "citation": "- **MAD (Military Audio Dataset)** — June Wook Kim, Kaggle.\n  Licence : CC BY-SA 4.0.\n  https://www.kaggle.com/datasets/junewookim/mad-dataset-military-audio-dataset\n\n- **ESC-50** — Piczak, K. J. (2015). ESC: Dataset for Environmental Sound\n  Classification. Licence CC BY-NC 3.0.\n  https://github.com/karoldvl/ESC-50\n\n- **DroneAudioDataset** — Al-Emadi, S. et al. (2019). Audio Based Drone Detection\n  and Identification using Deep Learning. IWCMC 2019 Vehicular Symposium, Tangier, Morocco.\n  https://github.com/saraalemadi/DroneAudioDataset\n\nCe dataset combinant des sources sous CC BY-SA 4.0 et CC BY-NC 3.0, il est distribué\nsous la licence la plus restrictive applicable (CC BY-NC-SA 4.0) : usage non-commercial,\nattribution requise, partage à l'identique pour les dérivés.",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "6d25b95feb618bb26e1da2da2f58f015be037dc9",
 "stated_evidence": "https://huggingface.co/datasets/Tairooonz/dataset_strix/blob/6d25b95feb618bb26e1da2da2f58f015be037dc9/README.md",
 "file_evidence": "https://huggingface.co/datasets/Tairooonz/dataset_strix/tree/6d25b95feb618bb26e1da2da2f58f015be037dc9",
 "card_nc": false
}