license: cc-by-sa-4.0
pretty_name: WindsorML (processed)
tags:
- cfd
- aerodynamics
- point-cloud
- physics
- surrogate-modeling
size_categories:
- 10B<n<100B
WindsorML (processed)
This is a processed, downsampled version of WindsorML, not the original dataset. Fields were converted to a common frame and non-dimensionalized, rows were randomly subsampled and some variables were dropped. For the original data, see the original paper. For dataloaders and processing details please see our paper, or Github.
The original size was 2.1 TB, therefore we downsample the volume fields by 3x to obtain a size of 0.71 TB.
Layout
collated/ surface
manifest.json [{stem, n_points, n_points_source, ...}]
splits/{train,val}.json
norm_stats*.npz per-column normalization statistics
samples/<stem>.npy
volume_collated/ volume
manifest.json
norm_stats_volume*.npz
samples/<stem>.npy
RELEASE.json downsampling factors, columns and row totals
Columns
Surface (collated, 9 columns):
| col | name | meaning |
|---|---|---|
| 0 | x |
position |
| 1 | y |
position |
| 2 | z |
position |
| 3 | cp |
pressure coefficient |
| 4 | cf_x |
skin-friction coefficient |
| 5 | cf_y |
skin-friction coefficient |
| 6 | cf_z |
skin-friction coefficient |
| 7 | cp_var |
pressure-coefficient variance |
| 8 | yPlus |
wall y+ |
Volume (volume_collated, 7 columns):
| col | name | meaning |
|---|---|---|
| 0 | x |
position |
| 1 | y |
position |
| 2 | z |
position |
| 3 | ux |
velocity |
| 4 | uy |
velocity |
| 5 | uz |
velocity |
| 6 | p |
static pressure (raw solver units; Cp = (p - p_inf) / q) |
Splits
The volume tree uses the surface splits (keyed by stem).
train: 280 samplesval: 70 samples
Either use norm_stats_centered.npz, or norm_stats_thinned.npz. The centered stats are computed on the simulation mesh (i.e., native discretization), while the thinned stats are computed after (roughly) uniform sampling.