datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PDESurrogates
PDE Datasets for FLARE
This repository contains the datasets used in the paper FLARE: Fast Low-rank Attention Routing Engine.
Paper: arXiv:2508.12594
Code: GitHub - 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… See the full description on the dataset page: https://huggingface.co/datasets/vedantpuri/PDESurrogates.ai4sci-pde-surrogate-data
PDE surrogate: the benchmark split
Companion data for the pde-surrogate task in
T0-RSI/ai4sci-tasks. It carries only the
files this benchmark's split creates, not a mirror of the upstream datasets.
subtree
what
train/
the nine corpus files that carry training and held-out trajectories, truncated at the end of the validation range, with norm_* recomputed over the kept trajectories
eval/
the held-out tail of each of those files, under its original trajectory numbering… See the full description on the dataset page: https://huggingface.co/datasets/deqing/ai4sci-pde-surrogate-data.