ai4privacy/openpii-masking-nano-1k
OpenPII Nano: Multilingual PII Masking Sample A nano-sized stratified sample of OpenPII 1.5M, perfect for quick prototyping, smoke tests, and CI fixtures. Every locale and every label that exists in the parent dataset is represented in proportion. 📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific Dataset Details Total Examples Train Validation Labels Languages Regions Annotations Format License 1,000 900 100 19 30 37 7… See the full description on the dataset page: https://huggingface.co/datasets/ai4privacy/openpii-masking-nano-1k.
OpenPII Nano: Multilingual PII Masking Sample
<p align="center"> <img src="assets/piimasking3m_coverage.png" alt="PII-Masking-3M Coverage" width="500"/> </p>
A nano-sized stratified sample of OpenPII 1.5M, perfect for quick prototyping, smoke tests, and CI fixtures. Every locale and every label that exists in the parent dataset is represented in proportion.
📖 More information: www.ai4privacy.com/datasets/pii-masking-3m-asia-pacific
Dataset Details
Language Coverage
<p align="center"> <img src="assets/language_distribution.png" alt="Language Distribution" width="800"/> </p>
Label Taxonomy (19 Labels)
<p align="center"> <img src="assets/label_distribution.png" alt="Label Distribution" width="800"/> </p>
Usage
from datasets import load_dataset
ds = load_dataset("ai4privacy/openpii-masking-nano-1k")Related Datasets (PII-Masking-3M Family)
License
CC-BY-4.0. Copyright © 2026 Ai Suisse SA. Contains synthetic PII only, no real personal data.
Legal Disclaimer
Provided "as is" without warranties of any kind. Users are responsible for compliance with all applicable data privacy laws (GDPR, CCPA, PDPA, APPI, PIPA, UU PDP) and AI regulations.