Dataset · Hugging Face

AIML-TUDA/CycliST

Name: CycliST
Creator: AIML-TUDA
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:video-text-to-text, language:en, license:cc-by-4.0, size_categories:10K<n<100K, modality:video, arxiv:2512.01095, doi:10.57967/hf/6906, region:us, video-question-answering, scene-understanding, spatio-temporal-reasoning, temporal-reasoning, benchmark, synthe

CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions CycliST is a synthetic, diagnostic benchmark for evaluating Video Language Models (VLMs) on their ability to reason over cyclical state transitions; periodic patterns in object motion and visual attributes. Published in the Journal of Data-centric Machine Learning Research (DMLR), 2026. Dataset Summary Cyclical patterns are everywhere in the physical world, from traffic… See the full description on the dataset page: https://huggingface.co/datasets/AIML-TUDA/CycliST.

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Author / organization	AIML-TUDA
License (as declared)	cc-by-4.0
Downloads	1.2K (as reported by Hugging Face)
Likes	3
Created	17 April 2025
Last updated at source	18 June 2026

video-question-answeringscene-understandingspatio-temporal-reasoningtemporal-reasoningbenchmarksynthediagnosticvideovlmclevr

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