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AgPerry/
VG-Bench

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VG-Bench

VG-Bench (Visually-Grounded Benchmark) is a curated set of 912 multiple-choice video questions that are verified to require watching the video to answer correctly.

Source Benchmarks

All questions are drawn from three established video understanding benchmarks:

Source Questions Original Options Reference

Video-MME 640 4 (A-D) Fu et al., 2024

VideoMMMU 156 10 (subsampled to 5) Hu et al., 2025

MMVU 116 5 (A-E) Zhao et al., 2025… See the full description on the dataset page: https://huggingface.co/datasets/AgPerry/VG-Bench.