Update README.md

README.md

@@ -16,7 +16,6 @@ tags:
 - inductiva
 - machine learning
 - synthetic
-license: apache-2.0
 ---
 
 <p align="center">
@@ -25,7 +24,7 @@ license: apache-2.0
 
 
 # Wind Tunnel 20K Dataset
-The Wind Tunnel Dataset contains 19,812 OpenFOAM simulations of 1,000 unique automobile-like objects placed in a virtual wind tunnel. 
+The Wind Tunnel Dataset contains 19,812 OpenFOAM simulations of 1,000 unique automobile-like objects placed in a virtual wind tunnel measuring 20 meters in length, 10 meters in width, and 8 meters in height.
 Each object is simulated under 20 distinct conditions: 4 random wind speeds ranging from 10 to 50 m/s, and 5 rotation angles
 (0°, 180° and 3 random angles).
 The meshes for these automobile-like objects were generated using the Instant Mesh model on images sourced from the Stanford Cars Dataset. 
@@ -117,7 +116,7 @@ The input mesh was generated using the Instant Mesh model from images in the Sta
 
 Details on the mesh generation process can be found [here](#Generating-a-large-quantity-of-Automobile-like-3D-Meshes).
 
-| **Input Mesh**               | **Points Histogram**           |
+| **Input Mesh**               | **# points of input meshes**           |
 |-------------------------------|------------------------------|
 | ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/input_mesh.png) | ![Histogram](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_input.png) |
 
@@ -143,7 +142,7 @@ faces = mesh.faces
 ### openfoam_mesh.obj
 This mesh was generated as a result of the OpenFOAM simulation. The number of points is reduced compared to the `input_mesh.obj`, due to mesh refinement and processing steps applied by OpenFOAM during the simulation.
 
-| **Open Foam Mesh**               | **Points Histogram**           |
+| **OpenFoam Mesh**               | **# points of OpenFoam meshes**           |
 |-------------------------------|------------------------------|
 | ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/openfoam_mesh.png) | ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_foam.png) |
 
@@ -168,7 +167,7 @@ Pressure values were extracted from the `openfoam_mesh.obj` and then interpolate
 
 More details can be found here [here](https://github.com/inductiva/wind-tunnel/blob/deab68a018531ff05d0d8ef9d63d8c108800f78f/windtunnel/windtunnel_outputs.py#L111).
 
-| **Pressure Field Mesh**               | **Points Histogram**           |
+| **Pressure Field Mesh**               | **# points of Pressure Field meshes**           |
 |-------------------------------|------------------------------|
 | ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/pressure_field_mesh.png) | ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_input.png)) |
 
@@ -199,7 +198,7 @@ Streamlines provide a visual representation of the flow characteristics within t
 More information can be found [here](https://github.com/inductiva/wind-tunnel/blob/deab68a018531ff05d0d8ef9d63d8c108800f78f/windtunnel/windtunnel_outputs.py#L70).
 
 
-| **Streamlines Mesh**               | **Points Histogram**           |
+| **Streamlines Mesh**               | **# points of streamlines meshes**           |
 |-------------------------------|------------------------------|
 | ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/streamlines_mesh.png) | ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_streamlines.png) |
 
@@ -293,20 +292,7 @@ initialConditions.jinja
 flowVelocity         ({{ wind_speed }} 0 0);
 ```
 
-blockMeshDict.jinja
-```jinja
-vertices
-(
-    ({{ x_min }} {{ y_min }} {{ z_min }})
-    ({{ x_max }} {{ y_min }} {{ z_min }})
-    ({{ x_max }} {{ y_max }} {{ z_min }})
-    ({{ x_min }} {{ y_max }} {{ z_min }})
-    ({{ x_min }} {{ y_min }} {{ z_max }})
-    ({{ x_max }} {{ y_min }} {{ z_max }})
-    ({{ x_max }} {{ y_max }} {{ z_max }})
-    ({{ x_min }} {{ y_max }} {{ z_max }})
-);
-```
+
 
 controlDict.jinja
 ```jinja