{
 "id": "Muno459/AudioSet",
 "owner": "Muno459",
 "name": "AudioSet",
 "downloads": 1172,
 "likes": 3,
 "last_modified": "2026-09-30T12:38:16.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "youtube-derived-audio",
 "licence_link": "https://research.google.com/audioset/download.html",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "audio-classification"
 ],
 "citation": "@inproceedings{gemmeke2017audioset,\r\n  title     = {Audio Set: An ontology and human-labeled dataset for audio events},\r\n  author    = {Gemmeke, Jort F. and Ellis, Daniel P. W. and Freedman, Dylan and Jansen, Aren and\r\n               Lawrence, Wade and Moore, R. Channing and Plakal, Manoj and Ritter, Marvin},\r\n  booktitle = {2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\r\n  pages     = {776--780},\r\n  year      = {2017},\r\n  doi       = {10.1109/ICASSP.2017.7952261}\r\n}",
 "signal": "restrictive",
 "reason": "The dataset card's licence name or licence section contains wording that suggests non-commercial, research-only or academic-only use restrictions.",
 "revision": "b2efe864152375edad040500a9fe589d8277772c",
 "stated_evidence": "https://huggingface.co/datasets/Muno459/AudioSet/blob/b2efe864152375edad040500a9fe589d8277772c/README.md",
 "file_evidence": "https://huggingface.co/datasets/Muno459/AudioSet/tree/b2efe864152375edad040500a9fe589d8277772c",
 "card_nc": true
}