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 | |
``` |