Datasets:

inductiva
/

windtunnel-20k

@@ -27,15 +27,11 @@ tags:
 The Wind Tunnel Dataset contains 19,812 OpenFOAM simulations of 1,000 unique automobile-like objects placed in a virtual wind tunnel.
 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](https://github.com/TencentARC/InstantMesh)
-on images sourced from the [Stanford Cars Dataset](https://www.kaggle.com/datasets/jessicali9530/stanford-cars-dataset).
 To ensure stable and reliable results, each simulation runs for 300 iterations.
 The entire dataset of 20,000 simulations is organized into three subsets: 70% for training, 20% for validation, and 10% for testing.
-The data generation process itself was orchestrated using the [Inductiva API](https://inductiva.ai/),
 which allowed us to run hundreds of OpenFOAM simulations in parallel on the cloud.
@@ -58,13 +54,13 @@ point of view of the learning problem, they bring challenges to the model that w
 and generalizable models.
-# How did we generate the data
-1. Generating Input Meshes, using InstantMesh on Standord...
-2. Running OpenFoam on the Input Meshes with Inductiva API. We ran OpenFoam simulations on the input meshes we created before changing the ...
-This produces an output mesh that contains all the information that we call openfoam.obj
-4. Postprocessing. Explain generation of pressure_field and streamlines
-5.
 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).
@@ -88,15 +84,21 @@ data
 ```
-### Dataset Files
 Each simulation in the Wind Tunnel Dataset is accompanied by several key files that provide both the input and the output data of the simulations.
 Here’s a breakdown of the files included in each simulation:
-- **input_mesh.obj**: OBJ file with the input mesh. These were generated using the InstantMesh model by the process described in section link.
-- **openfoam_mesh.obj**: OBJ file with the OpenFOAM mesh. (explicar)
-- **pressure_field_mesh.vtk**: VTK file with the pressure field data. (explicar)
-- **streamlines_mesh.ply**: PLY file with the streamlines. (posprocessing)
-- **metadata.json**: JSON with metadata about the input parameters and about some output results such as the force coefficients (obtained via simulation) and the path of the output files.
 ### Sample from the dataset

 The Wind Tunnel Dataset contains 19,812 OpenFOAM simulations of 1,000 unique automobile-like objects placed in a virtual wind tunnel.
 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.
 To ensure stable and reliable results, each simulation runs for 300 iterations.
 The entire dataset of 20,000 simulations is organized into three subsets: 70% for training, 20% for validation, and 10% for testing.
+The data generation process itself was orchestrated using the [Inductiva API](https://inductiva.ai/),
 which allowed us to run hundreds of OpenFOAM simulations in parallel on the cloud.
 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.
 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).
 ```
+## Dataset Files
 Each simulation in the Wind Tunnel Dataset is accompanied by several key files that provide both the input and the output data of the simulations.
 Here’s a breakdown of the files included in each simulation:
+- **[input_mesh.obj](###input_mesh.obj)**: OBJ file with the input mesh. These were generated using the InstantMesh model by the process described in section link.
+- **[openfoam_mesh.obj](###openfoam_mesh.obj)**: OBJ file with the OpenFOAM mesh. (explicar)
+- **[pressure_field_mesh.vtk](###pressure_field_mesh.vtk)**: VTK file with the pressure field data. (explicar)
+- **[streamlines_mesh.ply](streamlines_mesh.ply)**: PLY file with the streamlines. (posprocessing)
+- **[metadata.json](###metadata.json)**: JSON with metadata about the input parameters and about some output results such as the force coefficients (obtained via simulation) and the path of the output files.
+### input_mesh.obj
+### openfoam_mesh.obj
+### pressure_field_mesh.obj
+### streamlines_mesh.ply
+### metadata.obj
 ### Sample from the dataset