Dataset · Hugging Face

Kirito-Lab/VLM-ExecRouterBench

Name: VLM-ExecRouterBench
Creator: Kirito-Lab
License: other
Keywords: task_categories:visual-question-answering, task_categories:question-answering, task_categories:text-generation, task_categories:image-to-text, language:en, license:other, size_categories:10K<n<100K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, arxiv:2608.12127, region:us, vision-language-models, routing

VLM-ExecRouterBench An execution-oriented benchmark for cost-aware open-set VLM routing. Cost-aware routing | Open-set model onboarding | Multimodal, code, and search tasks Overview VLM-ExecRouterBench is an execution-oriented benchmark for routing vision-language model queries to a pool of candidate VLMs. Each sample is executed by multiple candidate models, producing correctness labels, inference costs, metadata… See the full description on the dataset page: https://huggingface.co/datasets/Kirito-Lab/VLM-ExecRouterBench.

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Author / organization	Kirito-Lab
License (as declared)	other
Downloads	207 (as reported by Hugging Face)
Likes	0
Created	30 July 2026
Last updated at source	19 August 2026

vision-language-modelsroutingmodel-routingcost-aware-routingopen-set-routingagentic-evaluationmultimodal-benchmarkcode-generationsearchexecution-benchmark

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