Mitzi4132/VideoLLava
MVBench 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… See the full description on the dataset page: https://huggingface.co/datasets/Mitzi4132/VideoLLava.
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