WMDP
by Center for AI Safety & collaborators
What is WMDP? WMDP is a safety & factuality eval made by Center for AI Safety & collaborators. 3,668 multiple-choice questions that act as a stand-in for hazardous knowledge in biosecurity, cybersecurity and chemical security. It is used both to measure how much risky knowledge a model holds and to test unlearning methods that try to remove it.
Editor note
3,668 multiple-choice questions that act as a stand-in for hazardous knowledge in biosecurity, cybersecurity and chemical security. It is used both to measure how much risky knowledge a model holds and to test unlearning methods that try to remove it.
- What it tests
- Hazardous dual-use knowledge and how well unlearning removes it.
- Original source
- www.wmdp.ai/
- Last updated
- Repo last commit 2025-05-29
- License
- MIT
Reviews
No reviews yet.
Reviews from practitioners who sign in with GitHub open soon.
Related safety & factuality evals
- HarmBench — Robustness to jailbreaks and harmful requests.
- TruthfulQA — Truthfulness versus imitating human misconceptions.
- StrongREJECT — Real effectiveness of jailbreak attacks.
- SimpleQA — Short-form factuality and calibration.