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Meme-Safety-Bench – Dataset by oneonlee | AlphaNeural AI

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oneonlee/
Meme-Safety-Bench

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visual-question-answering

visual-question-answering

vision-language-models

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Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study MemeSafetyBench: A Benchmark for Assessing VLM Safety with Real-World Memes

📃 arXiv | 🤗 Paper | 🤗 Dataset | GitHub

News

🎉 09/03/2025: We've also released MemeSafetyBench-Mini, a lightweight benchmark consisting of 390 samples across 13 categories (30 samples per category). 🎉 09/03/2025: Our code is now available on GitHub! 🎉 08/21/2025: MemeSafetyBench is accepted at EMNLP 2025!… See the full description on the dataset page: https://huggingface.co/datasets/oneonlee/Meme-Safety-Bench.