DVBench is a benchmark for evaluating multimodal large language models on data videos, a storytelling medium that combines dynamic charts with structured narratives. - 300 data videos - 1,000 human-verified question-answer pairs - questionid: unique question identifier - questiontype: EM, MCQsingle, MCQmultiple, or Openended - video: video identifier matching videos/.mp4 - dimension: evaluation dimension - question: question or subtitle-cloze context - answer: reference answer - distractor1, distractor2, distractor3: distractor options for single-choice and multiple-choice questions - charttype: chart category for visual questions in Animation, Chart Perception, and Chart Reasoning…
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Bomiao Wang
BomiaoWang
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Published tasks: Visual question answering.
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