mit-han-lab/Inf-Stream-Train

Inf-Stream-Eval Inf-Stream-Eval is a benchmark for evaluating vision-language models (VLMs) on near-infinite video streams. It consists of videos averaging over two hours in length that require dense, per-second alignment between video frames and text. This dataset was introduced in the paper StreamingVLM: Real-Time Understanding for Infinite Video Streams. Project Page: https://streamingvlm.hanlab.ai GitHub Repository: https://github.com/mit-han-lab/streaming-vlm… See the full description on the dataset page: https://huggingface.co/datasets/mit-han-lab/Inf-Stream-Train.

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