Dataset · Hugging Face

flowm123/mnist-world

Name: mnist-world
Creator: flowm123
Keywords: task_categories:image-to-video, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2601.01075, region:us, world-models, reinforcement-learning

MNIST World Dataset This repository contains the MNIST World dataset, used for experiments in the paper Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments, accepted at ICML 2026. MNIST World is a 2D partially observed video world modeling benchmark designed to evaluate how well models can handle smooth, time-parameterized symmetries and unobserved regions that continue to evolve. Project Resources Paper: arXiv:2601.01075 Project… See the full description on the dataset page: https://huggingface.co/datasets/flowm123/mnist-world.

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Author / organization	flowm123
Downloads	910 (as reported by Hugging Face)
Likes	0
Created	7 January 2026
Last updated at source	4 July 2026

world-modelsreinforcement-learning

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