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![OPPT Banner](https://huggingface.co/spaces/OpenPrivacyPolicyTaxonomy/README/resolve/main/banner.png)

# Open Privacy Policy Taxonomy (OPPT)

**Advancing privacy policy transparency through open taxonomies and annotated datasets**

## Mission

We develop standardized frameworks and tools for analyzing privacy policies, enabling researchers and practitioners to:

- Identify dark patterns and deceptive practices in privacy disclosures
- Compare privacy practices across companies and sectors
- Build machine learning models for automated policy analysis
- Track regulatory compliance across jurisdictions

## Projects

### OPPT v1.0 Taxonomy

A comprehensive 14-category taxonomy for privacy policy classification, extending the foundational OPP-115 scheme with modern regulatory categories (GDPR, CCPA/CPRA, AI Act).

### OPPT-T1_C1.0_Section_Jan2026 Dataset

123 privacy policies from major technology companies annotated using OPPT v1.0, featuring:

- 3,651 annotated segments
- Three-model consensus methodology (Claude Haiku 4.5, GPT-5.2, Gemini-3-flash-preview)
- Rich attribute schemas
- Modern regulatory landscape (January 2026)

**Paper:** [Jurisdiction as Concealment](https://arxiv.org/abs/2601.20792) (arXiv:2601.20792)

## Research Areas

- Privacy policy analysis and NLP
- Dark pattern detection
- Regulatory compliance automation
- Consumer privacy protection

## Contact

- **Inquiries**: tebrackin@outlook.com
- **Commercial licensing**: tebrackin@outlook.com

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*Building tools for a more transparent digital privacy landscape*