Dataset · Hugging Face

mukul54/spookybench-v2

Name: spookybench-v2
Creator: mukul54
License: mit
Keywords: task_categories:video-classification, task_categories:video-text-to-text, task_categories:zero-shot-classification, license:mit, size_categories:1K<n<10K, modality:tabular, modality:text, modality:video, library:datasets, library:mlcroissant, arxiv:2505.24867, region:us, video, noise, benchmark

SpookyBench-v2 Dataset Description SpookyBench-v2 is the updated version of spooky-bench benchmark, designed to evaluate vision-language models' capabilities for temporal understanding. The dataset contains both static and dynamic videos with various noise densities and speckle sizes, specifically designed to test models' temporal perception abilities. Check our paper for more details. Key Features Human accuracy around 98% while all of the models… See the full description on the dataset page: https://huggingface.co/datasets/mukul54/spookybench-v2.

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Author / organization	mukul54
License (as declared)	mit
Downloads	238 (as reported by Hugging Face)
Likes	1
Created	13 November 2025
Last updated at source	13 November 2025

videonoisebenchmarkvision-languagetemporal-understanding

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