| license: other | |
| license_name: license | |
| license_link: LICENSE | |
| > 👉 **Looking for the newest release?** The current flagship is [ai4privacy/pii-masking-openpii-1.5m](https://huggingface.co/datasets/ai4privacy/pii-masking-openpii-1.5m). 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is [ai4privacy/pii-masking-openpii-1m](https://huggingface.co/datasets/ai4privacy/pii-masking-openpii-1m). 1.4M samples, 23 languages, 19 PII classes. | |
| ## p5y Data Analytics | |
| This dataset is built on the [p5y](https://p5y.org) framework - think of it as i18n but for privacy. Just as i18n (internationalization) translates content into different locales, p5y translates sensitive data into privacy-safe formats through a standardized 3-step approach: | |
| 1. **Awareness** - Scan and markup private entities in unstructured text, producing a structured privacy mask with entity types, distribution, density, and risk assessment. | |
| 2. **Protection** - Control identified personal data through masking, pseudonymization, or k-anonymization, tailored to the specific use case and regulatory requirements. | |
| 3. **Quality Assurance** - Measure remaining privacy risk after anonymization, evaluating de-anonymization risks through expert annotation and automated assessment. | |
| Learn more at [p5y.org](https://p5y.org) | |