Ashenone3/FastBench

FastBench: Can Streaming VLMs Perceive High-Dynamic Real-World Streams? FastBench evaluates high-dynamic perception in streaming vision-language models. It contains 300 video clips and 306 English question-answer pairs, with six clips containing two questions. Models must observe video incrementally, capture brief events, and answer at the appropriate time. This dataset accompanies the FastBench paper and its ProactiveFrame training-free adaptive frame-rate baseline. The release… See the full description on the dataset page: https://huggingface.co/datasets/Ashenone3/FastBench.

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