Update README.md

README.md

@@ -23,8 +23,8 @@ Our dataset follows widely-used industrial standards:
 - Spalart-Allmaras turbulence model with wall functions
 - Spatial discretization using second-order schemes for momentum, energy and pressure terms. First order used for turbulence quantities.
 
-This repository contains a subset of the parameter scans that we used for evaluating our best surrogate model [AB-UPT](https://arxiv.org/abs/2502.09692).
-In total there are 70 cases compressed in the `scans_reduced.zip` file which contains a directory for each case according to the following structure:
+This repository contains the parameter scans that we used for evaluating our best surrogate model [AB-UPT](https://arxiv.org/abs/2502.09692).
+In total there are 248 cases compressed in the `all_scans.zip` file which contains a directory for each case according to the following structure:
 
     run_X
     ├── design_parameters.pt
@@ -41,7 +41,7 @@ In total there are 70 cases compressed in the `scans_reduced.zip` file which con
     └── wing.stl
 
 The pytorch tensors contain the positions and field values for the respective fields and volume and surface quantities. The numpy files contain necessary information to compute drag and lift coefficients. Finally, the STL file contains the surface mesh of each wing.
-
+In addition we provide all design parameters including Mach and Reynolds number in the `scan_per_case_design_parameters.csv` for the evaluation scans and in the `per_case_design_parameters.csv` for the entire dataset.
 The full dataset can be downloaded at this link: https://data.emmi.ai/s/qTgKFQCRNnFTgXN
 
 ## Data Quality