Update README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: cc-by-4.0
+viewer: false
 ---
 
 # HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics
@@ -16,7 +17,7 @@ One of the key novelties of this dataset is the use of a GPU-accelerated high-fi
 The simulations were performed using the **"Fidelity Charles"** flow-solver, an explicit, unstructured, finite-volume solver for the compressible Navier-Stokes equations. 
 * **Accuracy:** 2nd-order accurate in space and 3rd-order accurate in time. 
 * **Meshing:** The domain was discretized using "Fidelity Stitch", an unstructured mesh generator based on Voronoi diagrams. 
-* **Turbulence Modeling:** To capture complex, unsteady flow phenomena such as massive flow separation, the Dynamic Smagorinsky subgrid-scale model and an equilibrium wall model were employed.
+* **Turbulence Modeling:** To capture complex, unsteady flow phenomena such as massive flow separation, a wall-modeled LES using the Dynamic Smagorinsky subgrid-scale model and an equilibrium wall model were employed.
 
 ## How to Cite This Dataset
 In order to cite the use of this dataset, please cite the corresponding preprint paper:
@@ -47,6 +48,7 @@ Each folder (e.g., `geo_LHCi_AoA_j` where `i` is the geometry ID from 001 to 180
 In addition to the files per run folder, there are also general summary files in the root directory:
 * `geo_parameters_all.csv`: Reference geometry values used to define the geometry via the DoE method for all runs.
 * `force_mom_all.csv`: Time-averaged drag, lift, moment, and pressure/viscous coefficients for all runs.
+* 'splits*' : folder containing the train/val/test splits (manifest.json) and explanation and their derivation (README.pdf)
 
 ## How to Download
 The dataset is openly accessible on Hugging Face without any additional costs.