{
 "id": "fittar/lyric_canvas",
 "owner": "fittar",
 "name": "lyric_canvas",
 "downloads": 11,
 "likes": 0,
 "last_modified": "2023-12-22T09:22:03.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{shahmohammadi-etal-2023-vipe,\n    title = \"{V}i{PE}: Visualise Pretty-much Everything\",\n    author = \"Shahmohammadi, Hassan  and\n      Ghosh, Adhiraj  and\n      Lensch, Hendrik\",\n    editor = \"Bouamor, Houda  and\n      Pino, Juan  and\n      Bali, Kalika\",\n    booktitle = \"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing\",\n    month = dec,\n    year = \"2023\",\n    address = \"Singapore\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2023.emnlp-main.333\",\n    pages = \"5477--5494\"\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "125c9f2186b5403011ebf2f3cf00cad9fc1500ec",
 "stated_evidence": "https://huggingface.co/datasets/fittar/lyric_canvas/blob/125c9f2186b5403011ebf2f3cf00cad9fc1500ec/README.md",
 "file_evidence": "https://huggingface.co/datasets/fittar/lyric_canvas/tree/125c9f2186b5403011ebf2f3cf00cad9fc1500ec",
 "card_nc": false
}