PII-Masking-2M European Release
Collection
2M+ synthetic PII dataset: 32 locales, 98 entity types, 5 industries + Open PII. • 20 items • Updated • 4
👉 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.
🇪🇺 Personal Health & Medical Information — European PII Dataset
Part of PII-Masking-2M (2,717,080 entries) by AI4Privacy
| Entries | PII Annotations | Labels | Languages | Regions |
|---|---|---|---|---|
| 252,437 | 1,686,246 | 49 | 23 | 29 |
PII Label Distribution
European Coverage
Languages: English (12%) · French (9%) · German (9%) · Spanish (6%) · Italian (6%) · Slovak (3%) · Finnish (3%) · Czech (3%) · +15 more
Language Distribution
Data Format
{
"source_text": "Original text with synthetic PII values",
"masked_text": "Text with [LABEL_N] placeholders",
"privacy_mask": [{"label": "GIVENNAME", "start": 0, "end": 5, "value": "Alice"}],
"uid": 12345,
"language": "de", "region": "DE", "script": "Latn",
"mbert_tokens": ["Alice", "hat"],
"mbert_token_classes": ["B-GIVENNAME", "O"]
}
PII-Masking-2M Collection
| Dataset | Entries | Preview |
|---|---|---|
| Health (PHI) | 252,437 | preview |
| Financial (PFI) | 257,434 | preview |
| Digital (PDI) | 198,319 | preview |
| Work (PWI) | 252,273 | preview |
| Location (PLI) | 256,762 | preview |
| Open PII | 1,499,855 | preview |
| Total | 2,717,080 |
Usage
from datasets import load_dataset
dataset = load_dataset("ai4privacy/pii-masking-health-phi-200k")
Commercial Licensing
This is an enterprise dataset. Contact AI4Privacy for access.
Access & Partnerships
- 🔓 Request data access: Open Data Access Form
- 🤝 Commercial partnerships: Enterprise Contact Form or partnerships@ai4privacy.com
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
Legal Disclaimer
The dataset is provided "as is" without any guarantees or warranties, express or implied. AI4Privacy and Ai Suisse SA make no representations regarding accuracy, completeness, or suitability for any specific purpose. Users utilize the dataset at their own risk and bear full responsibility for any outcomes. Under no circumstances shall AI4Privacy, Ai Suisse SA, or affiliates be held liable for any damages arising from use of the dataset. Users are responsible for ensuring compliance with all applicable laws, regulations, and ethical guidelines, including GDPR, CCPA, and AI-related legislation.
- Downloads last month
- 47