Dataset · Hugging Face

oneonlee/Meme-Safety-Bench

Name: Meme-Safety-Bench
Creator: oneonlee
Keywords: task_categories:visual-question-answering, task_ids:visual-question-answering, language:en, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2505.15389, region:us, memes, vision-language-models

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.

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Author / organization	oneonlee
Downloads	189 (as reported by Hugging Face)
Likes	7
Created	10 April 2025
Last updated at source	3 September 2025

memesvision-language-modelssafetyevaluationmultimodal

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