{
 "id": "EchoSafe-MLLM/MM-SafetyBench-plus-plus",
 "owner": "EchoSafe-MLLM",
 "name": "MM-SafetyBench-plus-plus",
 "downloads": 3628,
 "likes": 3,
 "last_modified": "2026-03-18T15:10:48.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-text-to-text",
  "question-answering"
 ],
 "citation": "@article{zhang2026evolving,\n  title={Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory},\n  author={Zhang, Ce and He, Jinxi and He, Junyi and Sycara, Katia and Xie, Yaqi},\n  journal={arXiv preprint arXiv:2603.15800},\n  year={2026}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "128ea182089b677a8d48d97c9f86425713351ac2",
 "stated_evidence": "https://huggingface.co/datasets/EchoSafe-MLLM/MM-SafetyBench-plus-plus/blob/128ea182089b677a8d48d97c9f86425713351ac2/README.md",
 "file_evidence": "https://huggingface.co/datasets/EchoSafe-MLLM/MM-SafetyBench-plus-plus/tree/128ea182089b677a8d48d97c9f86425713351ac2",
 "card_nc": false
}