nvidia/Nemotron-3.5-Content-Safety-Dataset
Nemotron 3.5 Content Safety Dataset Dataset Description: Nemotron 3.5 Content Safety Dataset is a hybrid real/synthetic supervised instruction dataset for content-safety classification of human and assistant interactions. The dataset contains text-only and image-grounded single-turn conversations. Each example asks a classifier to determine user safety, response safety, and harmful categories; a subset also covers topic-following classification. Some training… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-3.5-Content-Safety-Dataset.
| Author / organization | nvidia |
|---|---|
| Downloads | 399 (as reported by Hugging Face) |
| Likes | 19 |
| Created | 1 June 2026 |
| Last updated at source | 5 June 2026 |
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399 now (-5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/BananaMind-V2.5-Content-Safety-GGUFModel · used to train
- mradermacher/Intelligem-V1-Safety-0.3B-GGUFModel · used to train
- mradermacher/Nemotron-3.5-Content-Safety-GGUFModel · used to train
- mradermacher/BananaMind-Content-Safety-Mini-1.5-i1-GGUFModel · used to train
- nvidia/Nemotron-3.5-Content-SafetyModel · used to train
- mradermacher/BananaMind-Content-Safety-Mini-1.5-GGUFModel · used to train
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