Veilance/Verity-Train-v4
Verity-Train-v4 Database-derived synthetic training dataset for evidence-grounded privacy policy and browser telemetry comparison Verity-Train-v4 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 or simulated browser activity, identify differences between documented and observed behavior, and… See the full description on the dataset page: https://huggingface.co/datasets/Veilance/Verity-Train-v4.
| 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-v4 Database-derived synthetic training dataset for evidence-grounded privacy policy and browser telemetry comparison Verity-Train-v4 is a structured instruction-tuning dataset developed for Verity, the privacy policy comparison
- 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, data-augmentation, veilance, verity
Changes detected by Silytics between refreshes of the source.
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