Datasets:
metadata
license: apache-2.0
pretty_name: ICM Hyperelastic Dataset
task_categories:
- tabular-regression
tags:
- hyperelasticity
- mechanics
- plane-strain
- plane-stress
- finite-element
ICM Hyperelastic Dataset
This dataset accompanies the paper:
https://arxiv.org/abs/2604.23098
The corresponding code is available at:
https://github.com/scaling-group/icm-hyperelastic
It contains compressed dataset archives used for training and evaluating models for hyperelastic material problems.
Because the data are provided as compressed .tar.zst archives, the Hugging Face Dataset Viewer is not available for this dataset.
Dataset Splits
The archive names indicate the split and the mechanical setting:
| Name pattern | Meaning |
|---|---|
train |
Training set |
val105 |
Test-ID |
val11 |
Test-M |
val13D |
Test-MGL and Test-MGL+ |
pe |
Plane strain |
ps |
Plane stress |
For example:
dataset-train-pe.tar.zst: training set under plane straindataset-train-ps.tar.zst: training set under plane stressdataset-val105-pe.tar.zst: Test-ID under plane straindataset-val11-pe.tar.zst: Test-M under plane straindataset-val13D-pe.tar.zst: Test-MGL and Test-MGL+ under plane strain
Usage Notes
Except for the experimental validation results, which use the plane-stress dataset for training, all other results in the paper use the plane-strain dataset.
In the file names:
pedenotes plane strain.psdenotes plane stress.
Citation
If you use this dataset, please cite the associated paper:
@article{li2026incontext,
title = {In-context modeling as a retrain-free paradigm for foundation models in computational science},
author = {Li, Lingfeng and Li, Zhuoyuan and Li, Shun and Zhan, Kaixin and Gao, Huajian and Chen, Changqing and Yang, Liu},
year = {2026},
url = {https://arxiv.org/abs/2604.23098},
eprint = {2604.23098},
archivePrefix = {arXiv},
primaryClass = {cs.CE}
}