Training Data License — Creative Commons Attribution 4.0 International (CC BY 4.0)

Copyright (c) Michael Schwaighofer, Markus Königsberger, Sebastian Pech, Markus Lukacevic, Josef Füssl

The training datasets and any dataset artifacts included in this repository (the “Data”)
are licensed under the Creative Commons Attribution 4.0 International License.

You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.

Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, 
and indicate if changes were made. You may do so in any reasonable manner,
but not in any way that suggests the licensor endorses you or your use.
- Citation — You must cite our paper "M. Schwaighofer, M. Königsberger, S. Pech, M. Lukacevic, J. Füssl, Deep Eshelby Network: an AI framework for multiscale continuum micromechanics homogenization schemes with complex inclusion shapes, Computer Methods in Applied Mechanics and Engineering (2026)" if the dataset or model weights are used, even in modified form.

Disclaimer of Liability:
The dataset and code is provided "as is", without warranty of any kind, 
express or implied, including but not limited to the warranties of merchantability, 
fitness for a particular purpose, and noninfringement. In no event shall the authors 
or copyright holders be liable for any claim, damages, or other liability, whether in 
an action of contract, tort, or otherwise, arising from, out of, or in connection with
 the dataset and code or the use or other dealings in the dataset and code.

Full license text: https://creativecommons.org/licenses/by/4.0/legalcode