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ritatai727/Aegis-AI-Content-Safety-Dataset-2.0

143 downloads in 30 days0 likesLast modified 2 Jul 2026View on Hugging Face

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at e18afb2
Licence files: No licence file at the top level of the repositoryEvidence: file list at e18afb2
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{ghosh-etal-2025-aegis2,
    title = "{AEGIS}2.0: A Diverse {AI} Safety Dataset and Risks Taxonomy for Alignment of {LLM} Guardrails",
    author = "Ghosh, Shaona and Varshney, Prasoon and Sreedhar, Makesh Narsimhan and Padmakumar, Aishwarya and Rebedea, Traian and Varghese, Jibin Rajan and Parisien, Christopher",
    editor = "Chiruzzo, Luis and Ritter, Alan and Wang, Lu",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.naacl-long.306/",
    doi = "10.18653/v1/2025.naacl-long.306",
    pages = "5992--6026",
    ISBN = "979-8-89176-189-6"
}

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dataset_licence({ "id": "ritatai727/Aegis-AI-Content-Safety-Dataset-2.0" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0