TIGER-Lab/VideoEval-Pro

VideoEval-Pro VideoEval-Pro is a robust and realistic long video understanding benchmark containing open-ended, short-answer QA problems. The dataset is constructed by reformatting questions from four existing long video understanding MCQ benchmarks: Video-MME, MLVU, LVBench, and LongVideoBench into free-form questions. The paper can be found here. The evaluation code and scripts are available at: TIGER-AI-Lab/VideoEval-Pro Dataset Structure Each example in the… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/VideoEval-Pro.