ai4privacy/pii-masking-openpii-1m
OpenPII 1M — Multilingual PII Masking Dataset Overview The OpenPII 1M dataset is a large-scale, multilingual collection of 1,428,143 synthetic text examples with fine-grained PII (Personally Identifiable Information) annotations, spanning 23 European languages and 19 entity types. Built to advance open research in privacy-preserving NLP, this dataset enables the development and benchmarking of Named Entity Recognition (NER) models, token classification… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/pii-masking-openpii-1m.
| Author / organization | ai4privacy |
|---|---|
| License (as declared) | other |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 17 |
| Created | 27 March 2026 |
| Last updated at source | 4 April 2026 |
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1,637 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- divergentlabs/masker-miniModel · used to train
- bardsai/eu-pii-anonimization-multilang-v2-previewModel · used to train
- OpenMed/privacy-filter-nemotron-v2Model · used to train
- naeyn/nobody-pii-deModel · used to train
- bardsai/eu-pii-anonimization-multilangModel · used to train
- OpenMed/privacy-filter-multilingual-v2Model · used to train
Recent changes
- 16 Oct 2026 Description: OpenPII 1M — Multilingual PII Masking Dataset Overview The OpenPII 1M dataset is a large-scale, multilingual collection of 1,428,143 synthetic text examples with fine-grained PII (Personally Identifiable Information) annotations, spanning 2 → OpenPII 1M — Multilingual PII Masking Dataset Overview The OpenPII 1M dataset is a large-scale, multilingual collection of 1,428,143 synthetic text examples with fine-grained PII (Personally Identifiable Information) annotations, spanning 2
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.