All datasets / nvidia
nvidia/Aegis-AI-Content-Safety-Dataset-2.0
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licencecc-by-4.0, from the tagEvidence: README.md at d86bb8b
- Licence filesNo licence file at the top level of the repositoryEvidence: file list at d86bb8b
- Declared sourcesNone listed in the card metadata
- Access gated on Hugging FaceNo
Tasks
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"
}
The same facts for your agent
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dataset_licence({ "id": "nvidia/Aegis-AI-Content-Safety-Dataset-2.0" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0
Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.