README.md

---
license: mit
task_categories:
- other
tags:
- physics
- additive-manufacturing
- mesh
- simulation
- 3d-field-prediction
- pde
---

# PDE Datasets for FLARE

This repository contains the datasets used in the paper **[FLARE: Fast Low-rank Attention Routing Engine](https://huggingface.co/papers/2508.12594)**. 

- **Paper:** [arXiv:2508.12594](https://arxiv.org/abs/2508.12594)
- **Code:** [GitHub - vpuri3/FLARE.py](https://github.com/vpuri3/FLARE.py)

## Dataset Description

The collection includes:
- **PDE Benchmarks**: Standard datasets used to evaluate neural PDE surrogates, such as Elasticity and Darcy flow.
- **Additive Manufacturing (AM) Benchmark**: A new 3D field prediction benchmark derived from numerical simulations of the **Laser Powder Bed Fusion (LPBF)** process. This dataset was generated on selected geometries from the Autodesk segmentation dataset and includes displacement fields and thermal histories on unstructured meshes.

## Usage

You can download the datasets using the utility script provided in the official repository:

```bash
git clone https://github.com/vpuri3/FLARE.py.git
cd FLARE.py
chmod +x scripts/download_data.sh
./scripts/download_data.sh
```

## Citation

If you use this dataset in your work, please cite:

```bibtex
@misc{puri2025flare,
      title={{FLARE}: {F}ast {L}ow-rank {A}ttention {R}outing {E}ngine}, 
      author={Vedant Puri and Aditya Joglekar and Kevin Ferguson and Yu-hsuan Chen and Yongjie Jessica Zhang and Levent Burak Kara},
      year={2025},
      eprint={2508.12594},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2508.12594}, 
}
```

## License

This dataset is released under the [MIT License](https://opensource.org/licenses/MIT).

## Contact

For questions about the dataset or related research, feel free to reach out via the [GitHub repository](https://github.com/vpuri3/FLARE.py).