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Datasets:
vedantpuri
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PDESurrogates

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Other
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Tags:
physics
additive-manufacturing
mesh
simulation
3d-field-prediction
pde
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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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PDE Datasets for FLARE

This repository contains the datasets used in the paper FLARE: Fast Low-rank Attention Routing Engine.

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:

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:

@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.

Contact

For questions about the dataset or related research, feel free to reach out via the GitHub repository.

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