MVBench
收藏OpenXLab2026-04-18 收录
下载链接：
https://openxlab.org.cn/datasets/OpenDataLab/MVBench
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资源简介：
We introduce a novel static-to-dynamic method for defining temporal-related tasks. By converting static tasks into dynamic ones, we facilitate systematic generation of video tasks necessitating a wide range of temporal abilities, from perception to cognition. Guided by task definitions, we then automatically transform public video annotations into multiple-choice QA for task evaluation. This unique paradigm enables efficient creation of MVBench with minimal manual intervention while ensuring evaluation fairness through ground-truth video annotations and avoiding biased LLM scoring.
提供机构：
OpenDataLab
创建时间：
2024-04-30
