textdetox/multilingual_toxicity_explained

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The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: openrail++, from the tagEvidence: README.md at f281110
Licence files: No licence file at the top level of the repositoryEvidence: file list at f281110
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@inproceedings{dementieva-etal-2025-multilingual,
    title = "Multilingual and Explainable Text Detoxification with Parallel Corpora",
    author = "Dementieva, Daryna  and
      Babakov, Nikolay  and
      Ronen, Amit  and
      Ayele, Abinew Ali  and
      Rizwan, Naquee  and
      Schneider, Florian  and
      Wang, Xintong  and
      Yimam, Seid Muhie  and
      Moskovskiy, Daniil Alekhseevich  and
      Stakovskii, Elisei  and
      Kaufman, Eran  and
      Elnagar, Ashraf  and
      Mukherjee, Animesh  and
      Panchenko, Alexander",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.coling-main.535/",
    pages = "7998--8025",
    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

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dataset_licence({ "id": "textdetox/multilingual_toxicity_explained" })
signal: "unclear"
stated_licence: "openrail++"
sources: 0