metadata
license: mit
task_categories:
- time-series-forecasting
tags:
- physics
- PDE
- scientific-computing
- neural-operators
- zebra
- enma
2D Vorticity Equation Dataset
2d vorticity equation dataset. The underlying PDE is the vorticity (Navier-Stokes in vorticity form).
Data is stored in HDF5 (.h5) format.
Origin
This dataset was generated by Armand Kassai Koupaï and has been used in the following papers:
- ZEBRA: In-Context Generative Pretraining for Solving Parametric PDEs — Louis Serrano, Armand Kassaï Koupaï, Thomas X Wang, Pierre Erbacher, Patrick Gallinari. ICML 2025. OpenReview
- ENMA: Tokenwise Autoregression for Generative Neural PDE Operators — Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano, Patrick Gallinari. NeurIPS 2025.
Download
See the full download script in the Zebra repository.
pip install huggingface_hub
python download_data/download_data_hugging_face.py --datasets vorticity
Usage
import h5py
data = h5py.File("train.h5", "r")