Dataset · Hugging Face

RyanWW/DynSuperCLEVR

Name: DynSuperCLEVR
Creator: RyanWW
License: apache-2.0
Keywords: task_categories:visual-question-answering, task_categories:video-text-to-text, language:en, license:apache-2.0, size_categories:10K<n<100K, format:parquet, modality:image, modality:tabular, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2406.00622

DynSuperCLEVR Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering ICLR 2025 DynSuperCLEVR is a video question answering (VQA) benchmark for understanding 4D (3D + temporal) object dynamics and physical properties in dynamic scenes. Unlike most video QA datasets that test appearance and 2D motion, DynSuperCLEVR targets the physical concepts that require an explicit 4D scene understanding: velocity, acceleration, and collisions. It asks… See the full description on the dataset page: https://huggingface.co/datasets/RyanWW/DynSuperCLEVR.

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Author / organization	RyanWW
License (as declared)	apache-2.0
Downloads	456 (as reported by Hugging Face)
Likes	0
Created	23 April 2025
Last updated at source	17 June 2026

video-question-answeringphysics-reasoning4d-dynamic-scenescompositional-reasoningspatial-reasoningsyntheticclevrsuperclevr

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