Veilance/Verity-Train-v1
Verity-Train-v1 Privacy policy and browser telemetry comparison training dataset Verity-Train-v1 is a structured instruction-tuning dataset developed for Verity, the privacy policy comparison engine within the Veilance ecosystem. The dataset is designed to train language models to compare privacy policy disclosures against observed browser activity, identify differences between documented and observed behavior, and produce evidence-grounded findings in a consistent JSON format.… See the full description on the dataset page: https://huggingface.co/datasets/Veilance/Verity-Train-v1.
| 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-v1 Privacy policy and browser telemetry comparison training dataset Verity-Train-v1 is a structured instruction-tuning dataset developed for Verity, the privacy policy comparison engine within the Veilance ecosystem. The datase
- 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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