Lagrangian
LagrangianSplats-Dataset
LagrangianSplats Data
Dataset archives for LagrangianSplats.
Expected extraction layout:
data/smoke/<scene>
gt/<scene>
Scene image/camera data are in data/*.tar.gz. Ground-truth density/velocity volumes for evaluation are in gt/*.tar.gz.
scalarreal does not include GT volumes in this release.
The data archives exclude the original .mp4 videos; the code uses extracted image frames and transform metadata.
Checksums are listed in SHA256SUMS.
lagrangian_generation
Dataset Description
The Particle Physics Lagrangian Dataset was created to train a BART model for generating Lagrangians from particle fields and their symmetries.
This task supports research in field theories within particle physics. Check arXiv:2501.09729 for more information about the model.
Data Generation
The dataset is generated through a pipeline utilizing AutoEFT, which helps automate the creation of effective field theories (EFTs). This tool is crucial for… See the full description on the dataset page: https://huggingface.co/datasets/JoseEliel/lagrangian_generation.lagrangian
Lagrangian
Dataset Overview
The Lagrangian dataset is sourced from the DeepMind team's ICML 2020 paper Learning to Simulate Complex Physics with Graph Networks. It consists of the two-dimensional Water particle-dynamics data from the paper's Graph Network-based Simulator (GNS) benchmark. The data represents particles as graph nodes and describes fluid evolution over time through particle-position sequences and particle types. It can be used for Lagrangian… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/lagrangian.