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

Permissive or share-alike

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

Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.

Evidence

• Declared licence: cc-by-4.0 (from the tag)
• Licence files: no licence file at the top level of the repository
• Access gated on Hugging Face: no

Declared sources

No source datasets listed in the card metadata.

Signal

See all datasets marked Permissive or share-alike.

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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View nvidia/Aegis-AI-Content-Safety-Dataset-2.0 on Hugging Face | JSON