alibustami/UM-DLP-Public-Benchmarking-Dataset
UM DLP Public Benchmarking Dataset Description The UM DLP Public Benchmarking Dataset is a publicly available collection designed specifically to stress test Data Loss Prevention (DLP) systems, helping identify detection gaps, false positives, and false negatives for ongoing improvement. This benchmark dataset contains 1,343 manually validated records across six major categories relevant to financial and sensitive data risks: Financial Data (Account information… See the full description on the dataset page: https://huggingface.co/datasets/alibustami/UM-DLP-Public-Benchmarking-Dataset.
| Author / organization | alibustami |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 173 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 24 November 2024 |
| Last updated at source | 3 July 2025 |
Popularity, last 3 days
173 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: UM DLP Public Benchmarking Dataset Description The UM DLP Public Benchmarking Dataset is a publicly available collection designed specifically to stress test Data Loss Prevention (DLP) systems, helping identify detection gaps, false positiv → UM DLP Public Benchmarking Dataset Description The UM DLP Public Benchmarking Dataset is a publicly available collection designed specifically to stress test Data Loss Prevention (DLP) systems, helping identify detection gaps, false positiv
Changes detected by Silytics between refreshes of the source.
More from alibustami
- alibustami/miniVLA-NavDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.