nvidia/Aegis-AI-Content-Safety-Dataset-2.0
🛡️ Nemotron Content Safety Dataset V2 The Nemotron Content Safety Dataset V2, formerly known as Aegis AI Content Safety Dataset 2.0, is comprised of 33,416 annotated interactions between humans and LLMs, split into 30,007 training samples, 1,445 validation samples, and 1,964 test samples. This release is an extension of the previously published Nemotron Content Safety Dataset V1. To curate the dataset, we use the HuggingFace version of human preference data about harmlessness… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-
| Author / organization | nvidia |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 14.9K (as reported by Hugging Face) |
| Likes | 113 |
| Created | 10 January 2025 |
| Last updated at source | 9 June 2025 |
Connected in the knowledge graph
- GaleneAI/llama-3.1-nemoguard-8b-content-safety-merged-NVFP4Model · used to train
More from nvidia
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.