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Video-Language Models · benchmark dataset · ENGLISH

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.

A comprehensive benchmark for evaluating expert-level multi-discipline video understanding capabilities. MMVU provides 3,000 expert-annotated QA examples spanning 1,529 specialized-domain videos across 27 subjects in four key disciplines (Science, Healthcare, Humanities & Social Sciences, and Engineering). Each example comes with expert-annotated reasoning rationales and relevant domain knowledge, enabling researchers to assess not just answer correctness but also reasoning quality.

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§ 06 · Contribute

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Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

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What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies