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gs / README.md

Upload README.md with huggingface_hub

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license: mit
task_categories:
  - time-series-forecasting
tags:
  - physics
  - PDE
  - scientific-computing
  - neural-operators
  - zebra
  - enma

2D Gray-Scott Reaction-Diffusion Dataset

2d gray-scott reaction-diffusion dataset. The underlying PDE is the Gray-Scott reaction-diffusion.

Data is stored in HDF5 (.h5) format.

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.

See the full download script in the Zebra repository.

pip install huggingface_hub

python download_data/download_data_hugging_face.py --datasets gs

import h5py

data = h5py.File("train.h5", "r")