Omkar2118/datasets huggingface dataset:
LSDBench
Full name: Long-video Sampling Dilemma Benchmark

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).

Introducing paper: Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?