All datasets / MilaNLProc

MilaNLProc/honest

270 downloads in 30 days9 likesLast modified 28 Sep 2022View on Hugging Face

Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at e10910c
Licence files: No licence file at the top level of the repositoryEvidence: file list at e10910c
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.

Tasks

text-classification

Citation text from the card

@inproceedings{nozza-etal-2021-honest,
    title = {"{HONEST}: Measuring Hurtful Sentence Completion in Language Models"},
    author = "Nozza, Debora and Bianchi, Federico  and Hovy, Dirk",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.naacl-main.191",
    doi = "10.18653/v1/2021.naacl-main.191",
    pages = "2398--2406",
}

@inproceedings{nozza-etal-2022-measuring,
    title = {Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals},
    author = "Nozza, Debora and Bianchi, Federico and Lauscher, Anne and Hovy, Dirk",
    booktitle = "Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion",
    publisher = "Association for Computational Linguistics",
    year={2022}
}

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dataset_licence({ "id": "MilaNLProc/honest" })
signal: "permissive"
stated_licence: "mit"
sources: 0