Update README.md

README.md

@@ -55,11 +55,9 @@ and generalizable models.
 
 
 # How did we generate the dataset?
-1. Generating Input Meshes, using InstantMesh on Standord Cars Dataset and postprocess the input meshes.
-2. Running OpenFoam on the Input Meshes with the Inductiva API.
-We ran OpenFoam simulations with different wind speeds and object angles on the input meshes.
-This produces an output mesh that contains all the information named `openfoam_mesh.obj`;
-4. We postprocessed the OpenFoam output to generate streamlines and pressure_map meshes.
+1.	**Generate Input Meshes**: First, input meshes are generated using the InstantMesh model with images from the Stanford Cars Dataset. Post-processing is then applied to these input meshes.
+2.	**Run OpenFOAM Simulations**: The Inductiva API is utilized to run OpenFOAM simulations on the input meshes at various wind speeds and object angles. This process produces an output mesh named `openfoam_mesh.obj`, which contains all relevant simulation information.
+3.	**Post-process OpenFOAM Output**: The OpenFOAM output is post-processed to generate streamlines and pressure map meshes.
 
 The code used to generate the meshes and postprocess them is available on github: [https://github.com/inductiva/datasets-generation](https://github.com/inductiva/datasets-generation).