lmms-eval/VideoMMMU
This dataset contains the data for the paper Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos. Video-MMMU is a multi-modal, multi-disciplinary benchmark designed to assess LMMs' ability to acquire and utilize knowledge from videos. Project page: https://videommmu.github.io/ Leaderboard (last updated: 07 Feb, 2025) Model Overall Perception Comprehension Adaptation Δknowledge Human Expert 74.44 84.33 78.67 60.33 +33.1… See the full description on the dataset page: https://huggingface.co/datasets/lmms-eval/VideoMMMU.
| Author / organization | lmms-eval |
|---|---|
| Downloads | 2.3K (as reported by Hugging Face) |
| Likes | 20 |
| Created | 8 February 2025 |
| Last updated at source | 5 May 2025 |
More from lmms-eval
- lmms-eval/Video-MMEDataset
- lmms-eval/LVBenchDataset
- lmms-eval/egoschemaDataset
- lmms-eval/NExTQADataset
- lmms-eval/TempCompassDataset
- lmms-eval/video-ttDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.