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tahmedge/MM-JudgeBench

MM-JudgeBench Dataset Summary MM-JudgeBench is a multilingual multimodal preference benchmark for evaluating vision-language judge and reward models. Each row contains an image reference, a query, two candidate responses, and a preference label. The dataset includes three configurations: m-vl-rewardbench m-opencqa m-mm-rewardbench Each configuration provides two splits: original reversed In the reversed split, the response order is swapped and the preference… See the full description on the dataset page: https://huggingface.co/datasets/tahmedge/MM-JudgeBench.

Author / organizationtahmedge
Downloads284 (as reported by Hugging Face)
Likes1
Created23 June 2026
Last updated at source23 June 2026
multilingualmultimodalreward-modelingvlm-evaluationpreference-evaluation
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