Veilance/Verity-Train-v2
Verity-Train-v2 Evidence-grounded privacy policy and browser telemetry comparison training dataset Verity-Train-v2 is a structured instruction-tuning dataset developed for Verity, the privacy policy comparison engine within the Veilance ecosystem. The dataset is designed to support language models that compare privacy policy disclosures with observed browser activity, identify disclosure discrepancies, and produce structured, evidence-grounded JSON reports. Unlike conventional… See the full description on the dataset page: https://huggingface.co/datasets/Veilance/Verity-Train-v2.
| Author / organization | Veilance |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 October 2026 |
| Last updated at source | 20 October 2026 |
Recent changes
- 20 Oct 2026 Description: none → Verity-Train-v2 Evidence-grounded privacy policy and browser telemetry comparison training dataset Verity-Train-v2 is a structured instruction-tuning dataset developed for Verity, the privacy policy comparison engine within the Veilance eco
- 20 Oct 2026 Topics added task_categories:text-generation, privacy, privacy-policy, cybersecurity, browser-telemetry, instruction-tuning, supervised-fine-tuning, structured-output, evidence-grounding, synthetic-data, veilance, verity
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