EchoSafe-MLLM/MM-SafetyBench-plus-plus
MM-SafetyBench++ Project Page | Paper | Code MM-SafetyBench++ is a benchmark designed for evaluating contextual safety in Multi-Modal Large Language Models (MLLMs). It challenges models to distinguish subtle contextual differences between scenarios that may appear visually or textually similar but diverge significantly in safety intent. Dataset Summary For each unsafe image-text pair, the benchmark includes a corresponding safe counterpart created through minimal… See the full description on the dataset page: https://huggingface.co/datasets/EchoSafe-MLLM/MM-SafetyBench-plus-plus.
| Author / organization | EchoSafe-MLLM |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 4.5K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 12 March 2026 |
| Last updated at source | 18 March 2026 |
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