{
 "id": "textdetox/multilingual_toxicity_explained",
 "owner": "textdetox",
 "name": "multilingual_toxicity_explained",
 "downloads": 162,
 "likes": 1,
 "last_modified": "2025-02-04T21:03:23.000Z",
 "stated_licence": "openrail++",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{dementieva-etal-2025-multilingual,\n    title = \"Multilingual and Explainable Text Detoxification with Parallel Corpora\",\n    author = \"Dementieva, Daryna  and\n      Babakov, Nikolay  and\n      Ronen, Amit  and\n      Ayele, Abinew Ali  and\n      Rizwan, Naquee  and\n      Schneider, Florian  and\n      Wang, Xintong  and\n      Yimam, Seid Muhie  and\n      Moskovskiy, Daniil Alekhseevich  and\n      Stakovskii, Elisei  and\n      Kaufman, Eran  and\n      Elnagar, Ashraf  and\n      Mukherjee, Animesh  and\n      Panchenko, Alexander\",\n    editor = \"Rambow, Owen  and\n      Wanner, Leo  and\n      Apidianaki, Marianna  and\n      Al-Khalifa, Hend  and\n      Eugenio, Barbara Di  and\n      Schockaert, Steven\",\n    booktitle = \"Proceedings of the 31st International Conference on Computational Linguistics\",\n    month = jan,\n    year = \"2025\",\n    address = \"Abu Dhabi, UAE\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.coling-main.535/\",\n    pages = \"7998--8025\",\n    abstract = \"Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022), digital abusive speech remains a significant issue. One potential approach to address this challenge is automatic text detoxification, a text style transfer (TST) approach that transforms toxic language into a more neutral or non-toxic form. To date, the availability of paralle",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "f2811105e8700187d60d9b7d26af89d84b3651d1",
 "stated_evidence": "https://huggingface.co/datasets/textdetox/multilingual_toxicity_explained/blob/f2811105e8700187d60d9b7d26af89d84b3651d1/README.md",
 "file_evidence": "https://huggingface.co/datasets/textdetox/multilingual_toxicity_explained/tree/f2811105e8700187d60d9b7d26af89d84b3651d1",
 "card_nc": false
}