{
 "id": "SINAI/CONAN-MT-SP",
 "owner": "SINAI",
 "name": "CONAN-MT-SP",
 "downloads": 11,
 "likes": 0,
 "last_modified": "2024-05-20T08:32:10.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{vallecillo-rodriguez-etal-2024-conan-mt,\n    title = \"{CONAN}-{MT}-{SP}: A {S}panish Corpus for Counternarrative Using {GPT} Models\",\n    author = \"Vallecillo Rodr{\\'\\i}guez, Mar{\\'\\i}a Estrella  and\n      Cantero Romero, Maria Victoria  and\n      Cabrera De Castro, Isabel  and\n      Montejo R{\\'a}ez, Arturo  and\n      Mart{\\'\\i}n Valdivia, Mar{\\'\\i}a Teresa\",\n    editor = \"Calzolari, Nicoletta  and\n      Kan, Min-Yen  and\n      Hoste, Veronique  and\n      Lenci, Alessandro  and\n      Sakti, Sakriani  and\n      Xue, Nianwen\",\n    booktitle = \"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)\",\n    month = may,\n    year = \"2024\",\n    address = \"Torino, Italy\",\n    publisher = \"ELRA and ICCL\",\n    url = \"https://aclanthology.org/2024.lrec-main.326\",\n    pages = \"3677--3688\",\n    abstract = \"This paper describes the automated generation of CounterNarratives (CNs) for Hate Speech (HS) in Spanish using GPT-based models. Our primary objective is to evaluate the performance of these models in comparison to human capabilities. For this purpose, the English CONAN Multitarget corpus is taken as a starting point and we use the DeepL API to automatically translate into Spanish. Two GPT-based models, GPT-3 and GPT-4, are applied to the HS segment through a few-shot prompting strategy to generate a new CN. As a consequence of our research, we have created a high quality corpus in Spanish ",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "70aeeab19d30c4164338f33a8e46fae3663ceb8c",
 "stated_evidence": "https://huggingface.co/datasets/SINAI/CONAN-MT-SP/blob/70aeeab19d30c4164338f33a8e46fae3663ceb8c/README.md",
 "file_evidence": "https://huggingface.co/datasets/SINAI/CONAN-MT-SP/tree/70aeeab19d30c4164338f33a8e46fae3663ceb8c",
 "card_nc": false
}