VideoMMMU.

The Video-MMMU dataset is a multi-modal, multi-disciplinary benchmark designed to assess Large Multi-modal Models' (LMMs) ability to acquire and utilize knowledge from videos. It evaluates LMMs' knowledge acquisition capability from educational videos, focusing on video as a knowledge source and knowledge acquisition-based question design.

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Neighbouring benchmarks.

Other Few-Shot Image Classification datasets on Codesota.

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• 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
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