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gh0stHunter/MMR-Bench-V2

MMR-Bench V2 Dataset Description MMR-Bench V2 is a normalized dataset for offline multimodal model-routing research. It joins canonical multimodal benchmark instances with previously collected model outcomes so that routing methods can learn or evaluate which vision-language model to select for each input. Release v2.0.3 contains: 25,504 instances from 18 benchmarks 1,122,176 model-result records covering 44 models 1,118,161 successful results and 4,015 explicit… See the full description on the dataset page: https://huggingface.co/datasets/gh0stHunter/MMR-Bench-V2.

Author / organizationgh0stHunter
License (as declared)other
Downloads1.4K (as reported by Hugging Face)
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Created23 July 2026
Last updated at source30 September 2026
multimodalmodel-routingbenchmarkvlmevalkitoffline-evaluation
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