You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer

This repository provides datasets and model checkpoints for the paper WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer.

Overview

WorldParticle is a unified learning-based particle simulator for diverse physical systems. The repository includes data and checkpoints for fluid dynamics, cloth simulation, and inverse-design experiments.

Repository Structure

fancy_fluid/
  dataset/
  checkpoint/
cloth_on_ball/
  dataset/
  checkpoint/
inverse_design/
  dataset/
  checkpoint/
deep_lagrange_dataset/
  checkpoint/

Dataset Layout

Each dataset directory contains:

dataset/
  train.txt
  validation.txt
  <sample directories>/

train.txt and validation.txt list the sample identifiers used for the two splits. The numbered sample directories contain the actual simulation data, such as .npz files and task-specific metadata.

Dataset Viewer is disabled because the split text files contain sample identifiers rather than standalone text samples. Download the repository to access the full simulation data.

Checkpoints

Each available checkpoint directory contains:

checkpoint/
  config.yaml
  final.ckpt

The checkpoint configuration should be used together with the corresponding model weights. Some components may contain only the files currently available for that experiment.

Citation

@article{wang2026worldparticle,
  title   = {WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer},
  author  = {Wang, Caoliwen and Guo, Minghao and Chen, Siyuan and Zhang, Heng and Wang, Mengdi and Ni, Xingyu and Sun, Hanson and Wang, Kunyi and Pan, Zherong and Wu, Kui and Liu, Lingjie and Yang, Yin and Jiang, Chenfanfu and Komura, Taku and Matusik, Wojciech and Chen, Peter Yichen},
  journal = {arXiv preprint arXiv:2605.15305},
  year    = {2026}
}
Downloads last month
6

Paper for wclw1021/WorldParticle