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JailBreakV_28K is a benchmark dataset for evaluating the robustness of multimodal large language models (MLLMs) against jailbreak attacks. It contains 28,000 jailbreak text‑image pairs, including 20,000 text‑based LLM transfer jailbreak attacks and 8,000 image‑based MLLM jailbreak attacks, covering 16 security policies and 5 different jailbreak methods. Additionally, the RedTeam_2K dataset provides 2,000 harmful queries to identify alignment vulnerabilities in LLMs and MLLMs, encompassing 16 security policies and 8 data sources.
