Dataset · Hugging Face

DDAI-D/ReMMDBench

Name: ReMMDBench
Creator: DDAI-D
Keywords: language:de, language:en, language:fr, language:ja, language:zh, size_categories:n<1K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2606.24112, region:us

ReMMDBench ReMMDBench is a realistic multilingual, multi-image benchmark for multimodal misinformation detection and agentic verification. The 2026 release contains 500 samples and 2,756 images across five languages, three text-length tiers, five graded veracity labels, eight distortion labels, and audited natural-language rationales. Project page: https://dang-ai.github.io/ReMMD/ Code: https://github.com/DANG-ai/ReMMD-Agent Paper: https://arxiv.org/abs/2606.24112… See the full description on the dataset page: https://huggingface.co/datasets/DDAI-D/ReMMDBench.

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Author / organization	DDAI-D
Downloads	157 (as reported by Hugging Face)
Likes	1
Created	23 June 2026
Last updated at source	24 June 2026

multimodalmisinformation-detectionfact-checkingmulti-imagemultilingualagentic-evaluation

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