{
 "id": "grexit-d/conan_effectiveness",
 "owner": "grexit-d",
 "name": "conan_effectiveness",
 "downloads": 8,
 "likes": 2,
 "last_modified": "2025-10-17T11:52:22.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "inria",
 "licence_link": "LICENSE",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
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 "citation": "@article{damo2025effectiveness,\n  title   = {Effectiveness of Counter-Speech against Abusive Content: A Multidimensional Annotation and Classification Study},\n  author  = {Damo, Greta and Cabrio, Elena and Villata, Serena},\n  journal = {arXiv preprint arXiv:2506.11919},\n  year    = {2025}\n}",
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 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "36adff33c621b2f72648d7f49295276977f20114",
 "stated_evidence": "https://huggingface.co/datasets/grexit-d/conan_effectiveness/blob/36adff33c621b2f72648d7f49295276977f20114/README.md",
 "file_evidence": "https://huggingface.co/datasets/grexit-d/conan_effectiveness/tree/36adff33c621b2f72648d7f49295276977f20114",
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}