Datasets › LSDBench

LSDBench (Long-video Sampling Dilemma Benchmark)

Introduced by Tianyuan Qu et al. in Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?16 Mar 2025 archive 2025-07-28

A benchmark that focuses on the sampling dilemma in long-video tasks. The LSDBench dataset is designed to evaluate the sampling efficiency of long-video VLMs. It consists of multiple-choice question-answer pairs based on hour-long videos, focusing on dense and short-duration actions with high Necessary Sampling Density (NSD).

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache License, Version 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • LSDBench

1 variant name, as the archive lists them.

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