datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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
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.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.