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Download README.md from ai4privacy/pii-masking-400k-extended: direct link, hf CLI and curl.
- Browser
- Download file 1.34 kB
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https://huggingface.co/datasets/ai4privacy/pii-masking-400k-extended/resolve/main/README.md
- Command line
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hf download hf://datasets/ai4privacy/pii-masking-400k-extended/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/ai4privacy/pii-masking-400k-extended/resolve/main/README.md
1.34 kB
metadata
license: other
license_name: license
license_link: LICENSE
👉 Looking for the newest release? The current flagship is 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. 1.4M samples, 23 languages, 19 PII classes.
p5y Data Analytics
This dataset is built on the p5y 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:
- Awareness - Scan and markup private entities in unstructured text, producing a structured privacy mask with entity types, distribution, density, and risk assessment.
- Protection - Control identified personal data through masking, pseudonymization, or k-anonymization, tailored to the specific use case and regulatory requirements.
- Quality Assurance - Measure remaining privacy risk after anonymization, evaluating de-anonymization risks through expert annotation and automated assessment.
Learn more at p5y.org