README.md

metadata

dataset_info:
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      - name: validation
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      - name: num_map_2d_mp4
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      - name: validation
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  - config_name: tex
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      - name: num_map_2d_mp4
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configs:
  - config_name: dynamic
    data_files:
      - split: train
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      - split: validation
        path: dynamic/validation-*
  - config_name: static
    data_files:
      - split: train
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      - split: validation
        path: static/validation-*
  - config_name: tex
    data_files:
      - split: train
        path: tex/train-*
      - split: validation
        path: tex/validation-*
task_categories:
  - image-to-video

Block World Dataset

This repository contains the Block World dataset for experiments of FloWM (Flow Equivariant World Models), presented in the paper Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments.

Project Page | GitHub Repository

Dataset Summary

The Block World dataset is a 3D partially observed video world modeling benchmark. It is designed to evaluate how world models handle continuous sensory input and underlying symmetries in environment dynamics. The dataset includes three main configurations:

• dynamic: The primary environment used for results in the paper, featuring moving objects.
• static: A version of the environment with static external objects.
• tex: A textured version of the environment to test visual complexity.

Each configuration contains both train and validation splits.

Usage

To use this dataset with the FloWM framework, the authors provide a download script in the associated GitHub repository to handle the extraction and setup of the data. For more details, please refer to the official code repository.

Citation

@misc{lillemark2026flowequivariantworldmodels,
    title={Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments}, 
    author={Hansen Jin Lillemark and Benhao Huang and Fangneng Zhan and Yilun Du and Thomas Anderson Keller},
    year={2026},
    eprint={2601.01075},
    archivePrefix={arXiv},
    primaryClass={cs.LG},
    url={https://arxiv.org/abs/2601.01075}, 
  }