Datasets:
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Size:
10K - 100K
Update README.md
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README.md
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## Downloading the Dataset:
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print("Sample from training set:", sample)
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```
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## Generating the meshes
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Existing object datasets have many limitations: they are either small in size, closed source, or have low quality meshes.
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Note: 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)
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## Dataset Statistics
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The dataset comprises 19,812 valid samples out of a total of 20,000 simulations, with [188 submissions failing](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/failed_tasks.txt) due to numerical errors in OpenFOAM.
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The complete dataset requires X GB of storage. Below, the histograms illustrate the distribution of points:
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| **Input Mesh** | **OpenFOAM Mesh** |
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|-------------------------------|------------------------------|
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| ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_input.png) | ![OpenFOAM Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_foam.png) |
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## What's next?
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If you have any issues using this dataset, feel free to reach out to us at [support@intuctiva.ai](support@intuctiva.ai)
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}
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```
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### Dataset Statistics
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The dataset comprises 19,812 valid samples out of a total of 20,000 simulations, with [188 submissions failing](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/failed_tasks.txt) due to numerical errors in OpenFOAM.
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The complete dataset requires X GB of storage. Below, the histograms illustrate the distribution of points:
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| **Input Mesh** | **OpenFOAM Mesh** |
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|-------------------------------|------------------------------|
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| ![Input Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_input.png) | ![OpenFOAM Mesh](https://huggingface.co/datasets/inductiva/windtunnel/resolve/main/assets/histogram_of_points_foam.png) |
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## Downloading the Dataset:
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print("Sample from training set:", sample)
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```
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## Generating the meshes
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Existing object datasets have many limitations: they are either small in size, closed source, or have low quality meshes.
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Note: 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)
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## What's next?
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If you have any issues using this dataset, feel free to reach out to us at [support@intuctiva.ai](support@intuctiva.ai)
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