nvidia/Nemotron-PII
Nemotron-PII: Synthesized Data for Privacy-Preserving AI Dataset Description Nemotron‑PII is a synthetic, persona‑grounded dataset for training and evaluating detection of Personally Identifiable Information (PII) and Protected Health Information (PHI) in text at production quality. It contains 100,000 English records across 50+ industries with span‑level annotations for 55+ PII/PHI categories, generated with NVIDIA NeMo Data Designer using synthetic personas grounded in… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-PII.
| Author / organization | nvidia |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 5.5K (as reported by Hugging Face) |
| Likes | 124 |
| Created | 21 August 2025 |
| Last updated at source | 17 December 2025 |
Connected in the knowledge graph
- OpenMed/OpenMed-PII-ClinicalE5-Base-109M-v1Model · used to train
- OpenMed/OpenMed-PII-SuperMedical-Base-125M-v1Model · used to train
- OpenMed/OpenMed-PII-NomicMed-Large-395M-v1Model · used to train
- Horizon-Labs/pii-redactor-baseModel · used to train
- bardsai/eu-pii-anonimization-multilang-v2-previewModel · used to train
- OpenMed/privacy-filter-nemotron-mlx-8bitModel · used to train
- OpenMed/OpenMed-PII-BioClinicalModern-Base-149M-v1Model · used to train
- OpenMed/OpenMed-PII-ClinicDischarge-Base-110M-v1Model · used to train
- OpenMed/OpenMed-PII-ClinicalLongformer-Base-149M-v1Model · used to train
- OpenMed/OpenMed-PII-mClinicalE5-Large-560M-v1Model · used to train
- OpenMed/OpenMed-PII-SuperMedical-Large-355M-v1Model · used to train
- OpenMed/OpenMed-PII-BiomedELECTRA-Base-110M-v1Model · used to train
- OpenMed/OpenMed-PII-BiomedELECTRA-Large-335M-v1Model · used to train
- OpenMed/OpenMed-PII-EuroMed-Large-210M-v1Model · used to train
- rulesentry-io/ettin-68m-nemotron-pii-onnxModel · used to train
- kalyan-ks/ettin-32m-nemotron-piiModel · used to train
- OpenMed/privacy-filter-nemotronModel · used to train
- OpenMed/OpenMed-PII-ClinicalBGE-Large-568M-v1Model · used to train
- OpenMed/OpenMed-PII-SnowflakeMed-Large-568M-v1Model · used to train
- temsa/eurocivic-gliner2-onnx-cpu-v2Model · used to train
- OpenMed/OpenMed-PII-BiomedBERT-Large-340M-v1Model · used to train
- vllm-sr/Decision-1.0-Route-0.6BModel · used to train
- kalyan-ks/ettin-68m-nemotron-piiModel · used to train
- kalyan-ks/ettin-17m-nemotron-piiModel · used to train
- OpenMed/OpenMed-PII-BiomedBERT-Base-110M-v1Model · used to train
- Harsh/qwen3-0.6b-pii-sft-v2Model · used to train
- Roblox/roblox-pii-classifier-v2Model · used to train
- OpenMed/OpenMed-PII-LiteClinical-Small-66M-v1Model · used to train
- cjhwong/seatbelt-pii-taggerModel · used to train
- OpenMed/OpenMed-PII-ModernMed-Base-149M-v1Model · used to train
- mradermacher/qwen3-0.6b-pii-detector-GGUFModel · used to train
- rulesentry-io/ettin-32m-nemotron-pii-onnxModel · used to train
- OpenMed/OpenMed-PII-GTEMed-Base-149M-v1Model · used to train
- OpenMed/OpenMed-PII-QwenMed-XLarge-600M-v1Model · used to train
- OpenMed/OpenMed-PII-ClinicalE5-Small-33M-v1Model · used to train
- OpenMed/OpenMed-PII-SuperClinical-Base-184M-v1Model · used to train
- OpenMed/OpenMed-PII-mSuperClinical-Large-279M-v1Model · used to train
- LocalAI-io/privacy-filter-nemotron-GGUFModel · used to train
- OpenMed/OpenMed-PII-ClinicalE5-Large-335M-v1Model · used to train
- OpenMed/OpenMed-PII-ModernMed-Large-395M-v1Model · 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 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.