| # Datasets of GAOT | |
| This repository contains the datasets used in the paper | |
| **"Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains."** | |
| The repository includes two subfolders: | |
| - `time_dep/` — time-dependent datasets | |
| - `time_indep/` — time-independent datasets | |
| In addition, some datasets used in the paper are provided by [RIGNO](https://arxiv.org/pdf/2501.19205). | |
| These can be downloaded from [Zenodo](https://zenodo.org/records/14765453). | |
| For a detailed description of all datasets, please refer to **Supplementary Material, Table D.1** of the paper. | |
| --- | |
| ### Data Structure | |
| Each file contains either two or three groups: | |
| - **u**: the vector-valued solution function | |
| - **c**: the vector-valued known spatial parameters (constant in time) | |
| - **x**: the spatial coordinates in all directions (e.g., *x* and *y*) | |
| All arrays are 4-dimensional with the following axis order: `[batch, time, space, variables]`. | |