Datasets:
| cff-version: 1.2.0 | |
| message: "If you use this dataset, please cite it as below." | |
| title: "Guardrail Hard Negatives (EN/TR)" | |
| type: dataset | |
| authors: | |
| - family-names: "Deniz" | |
| given-names: "Enes" | |
| orcid: "https://orcid.org/0009-0006-9491-3565" | |
| affiliation: "AltaySec" | |
| abstract: "A bilingual **false-positive challenge set**: benign prompts that look like attacks (security researchers asking about injection, authorized admin actions, quoted payloads, legitimate roleplay) paired against real attacks, so you can measure the false-positive rate your users will actually feel." | |
| keywords: | |
| - prompt-injection | |
| - llm-security | |
| - ai-security | |
| - en | |
| - tr | |
| version: "1.0.0" | |
| date-released: "2026-08-12" | |
| license: CC-BY-4.0 | |
| repository-code: "https://huggingface.co/datasets/3nesdeniz" | |