nvidia/Nemotron-Safety-Guard-Dataset-v3
Dataset Description: The Nemotron-Safety-Guard-Dataset-v3 (formerly known as Nemotron-Content-Safety-Dataset-Multilingual-v1) is a large, high-quality safety dataset designed for training multilingual LLM safety guard models. It comprises approximately 514,617 samples across 12 languages: English, Arabic, German, Spanish, French, Hindi, Japanese, Thai, Mandarin, Dutch, Italian, and Korean. This dataset is primarily synthetically generated using the CultureGuard pipeline, which… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Safety-Guard-Dataset-v3
| Author / organization | nvidia |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 2.5K (as reported by Hugging Face) |
| Likes | 34 |
| Created | 21 August 2025 |
| Last updated at source | 3 February 2026 |
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2,536 now (+93 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- nvidia/Llama-3.1-Nemotron-Safety-Guard-8B-v3Model · used to train
- Horizon-Labs/content-safety-guard-smallModel · used to train
- Beko2210/statim-decide-multilingual-baseModel · used to train
- Horizon-Labs/content-safety-guard-baseModel · used to train
- vllm-sr/Decision-1.0-Route-0.6BModel · used to train
- vllm-sr/Vela-2.0-9BModel · used to train
- vllm-sr/Vela-1.0-Encoder-307M-ShieldModel · used to train
- vllm-sr/Vela-2.0-4BModel · used to train
- musubilabs/policylm-1.7bModel · used to train
- vllm-sr/Vela-2.0-0.8BModel · used to train
- arunp0/laya-indicModel · used to train
- mradermacher/Llama-3.1-Nemotron-Safety-Guard-8B-v3-GGUFModel · used to train
- vllm-sr/Vela-2.0-0.3BModel · used to train
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