Datasets:
ArXiv:
License:
| license: cc-by-nc-4.0 | |
| # Short Description | |
| Based on the wave equation, this dataset contains trajectories starting from intial conditions as a sum of Gaussians that are propagated by the spatially varying wave speed that is a vertically layered medium, see https://arxiv.org/abs/2405.19101. | |
| # Dimensions | |
| The assembled NetCDF file has **two** variables. The first is called *solution* with dimensionality | |
| - 10512 (number of trajectories) | |
| - 15 (time steps) | |
| - 128 (x-dim) | |
| - 128 (y-dim) | |
| The second variable is called *c* with dimensionality | |
| - 10512 (number of trajectories) | |
| - 128 (x-dim) | |
| - 128 (y-dim) | |
| It was simulated on the unit square up to T=1 and saved as uniformly spaced in space and time. | |
| # Train/Val/Test-split | |
| 10212/60/240 trajectories | |
| # Download & Assembly | |
| The dataset can be downloaded, e.g., via `huggingface-cli download`. | |
| After download, the chunked data can be assembled into a single NetCDF file using the provided `assemble_data.py` script. | |
| Use it as follows: | |
| ```bash | |
| python assemble_data.py --input_dir . --output_file Wave-Layer.nc | |
| ``` |