Update dataset card with task category, code link, and usage instructions

#2
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +35 -18
README.md CHANGED
@@ -1,24 +1,45 @@
1
  ---
2
- dataset_name: PDE Datasets used in FLARE paper
3
- tags:
4
- - physics
5
- - additive-manufacturing
6
- - pbdf
7
- - mesh
8
- - simulation
9
- - 3d-field-prediction
10
  license: mit
11
- language: []
12
- paper: https://arxiv.org/abs/2508.12594
 
 
 
 
 
 
 
13
  ---
14
 
15
- These are the datasets used in our paper **[FLARE: Fast Low-Rank Attention Routing Engine](https://huggingface.co/papers/2508.12594)** ([arXiv:2508.12594](https://arxiv.org/abs/2508.12594)), we release a new **3D field prediction benchmark** derived from numerical simulations of the **Laser Powder Bed Fusion (LPBF)** additive manufacturing process.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16
 
17
  ## Citation
18
 
19
  If you use this dataset in your work, please cite:
20
 
21
- ```
22
  @misc{puri2025flare,
23
  title={{FLARE}: {F}ast {L}ow-rank {A}ttention {R}outing {E}ngine},
24
  author={Vedant Puri and Aditya Joglekar and Kevin Ferguson and Yu-hsuan Chen and Yongjie Jessica Zhang and Levent Burak Kara},
@@ -30,14 +51,10 @@ If you use this dataset in your work, please cite:
30
  }
31
  ```
32
 
33
- ---
34
-
35
  ## License
36
 
37
- MIT License
38
-
39
- ---
40
 
41
  ## Contact
42
 
43
- For questions about the dataset or related research, feel free to reach out via email or the GitHub repository linked in the paper: `https://github.com/vpuri3/FLARE.py`.
 
1
  ---
 
 
 
 
 
 
 
 
2
  license: mit
3
+ task_categories:
4
+ - other
5
+ tags:
6
+ - physics
7
+ - additive-manufacturing
8
+ - mesh
9
+ - simulation
10
+ - 3d-field-prediction
11
+ - pde
12
  ---
13
 
14
+ # PDE Datasets for FLARE
15
+
16
+ This repository contains the datasets used in the paper **[FLARE: Fast Low-rank Attention Routing Engine](https://huggingface.co/papers/2508.12594)**.
17
+
18
+ - **Paper:** [arXiv:2508.12594](https://arxiv.org/abs/2508.12594)
19
+ - **Code:** [GitHub - vpuri3/FLARE.py](https://github.com/vpuri3/FLARE.py)
20
+
21
+ ## Dataset Description
22
+
23
+ The collection includes:
24
+ - **PDE Benchmarks**: Standard datasets used to evaluate neural PDE surrogates, such as Elasticity and Darcy flow.
25
+ - **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.
26
+
27
+ ## Usage
28
+
29
+ You can download the datasets using the utility script provided in the official repository:
30
+
31
+ ```bash
32
+ git clone https://github.com/vpuri3/FLARE.py.git
33
+ cd FLARE.py
34
+ chmod +x scripts/download_data.sh
35
+ ./scripts/download_data.sh
36
+ ```
37
 
38
  ## Citation
39
 
40
  If you use this dataset in your work, please cite:
41
 
42
+ ```bibtex
43
  @misc{puri2025flare,
44
  title={{FLARE}: {F}ast {L}ow-rank {A}ttention {R}outing {E}ngine},
45
  author={Vedant Puri and Aditya Joglekar and Kevin Ferguson and Yu-hsuan Chen and Yongjie Jessica Zhang and Levent Burak Kara},
 
51
  }
52
  ```
53
 
 
 
54
  ## License
55
 
56
+ This dataset is released under the [MIT License](https://opensource.org/licenses/MIT).
 
 
57
 
58
  ## Contact
59
 
60
+ For questions about the dataset or related research, feel free to reach out via the [GitHub repository](https://github.com/vpuri3/FLARE.py).