aialliance/fotw

GeoBench-2 Dataset License Attribution

Dataset Name: m-fotw Original Dataset Name: Fields of The World (FoTW)
Original Source: https://fieldsofthe.world
Related Publication(s): https://arxiv.org/abs/2409.16252

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Licensing

This dataset consists of multiple national field-boundary datasets from the FoTW benchmark.
GeoBench-2 includes only jurisdictions with commercial-permissive open licenses

• Declared By Original Provider: The dataset page at Source Cooperative indicates the licensing status and subset-filtering by license. See https://source.coop/kerner-lab/fields-of-the-world/

Per-Country License Summary

Country	Label License
Austria	CC-BY-4.0
Brazil	CC-BY-4.0
Corsica	CC-BY-2.0
Denmark	CC0-1.0
Estonia	CC-BY-3.0
Finland	CC-BY-4.0
France	Etalab Open Licence
India	CC-BY-4.0
Luxembourg	CC0-1.0
Netherlands	CC0-1.0
Rwanda	CC-BY-4.0
Slovakia	CC0-1.0
Spain	CC-BY-4.0
Vietnam	CC-BY-4.0

Declared By Original Provider:

• FTW dataset page and linked data sources at https://fieldsofthe.world

Redistribution Status in GeoBench-2
This dataset is redistributed under the same license terms as declared by the original providers.
ServiceNow Research, IBM Research, TUM, and AI Alliance do not claim ownership or grant new rights beyond those already specified.

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Attribution Requirements

When using this dataset (directly or through GeoBench-2), please cite:

@inproceedings{kerner2025fields,
  title={Fields of the world: A machine learning benchmark dataset for global agricultural field boundary segmentation},
  author={Kerner, Hannah and Chaudhari, Snehal and Ghosh, Aninda and Robinson, Caleb and Ahmad, Adeel and Choi, Eddie and Jacobs, Nathan and Holmes, Chris and Mohr, Matthias and Dodhia, Rahul and others},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={39},
  number={27},
  pages={28151--28159},
  year={2025}
}

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License Disclaimer & Takedown Policy

GEO-Bench-2 redistributes transformed versions of publicly available datasets for research and benchmarking purposes. Each dataset included here is redistributed under the same license terms designated by its original licensor.

No New Rights Created: ServiceNow Research, IBM Research, TUM, and AI Alliance do not claim ownership over these datasets and do not grant any new rights beyond those already specified by the original licensors.

Attribution: All credit remains with the original dataset creators and providers. Each dataset is accompanied by license and attribution information pointing to the original source.

Disclaimer of Responsibility: The consortium partners act only as redistributors. We do not independently verify the accuracy of the license terms supplied by original dataset providers and disclaim liability for any errors, omissions, or misattributions in those designations.

Takedown Procedure: If you are a rights holder and believe that a dataset has been misattributed, incorrectly licensed, or should not be redistributed in this form, please contact Paolo Fraccaro (paolo.fraccaro@ibm.com) and Alexandre Lacoste (alexandre.lacoste@servicenow.com). We will promptly review and, if necessary, remove or modify access to the dataset.

By accessing or using GEO-Bench-2, you agree to comply with the original dataset licenses and acknowledge that the responsibility for verifying appropriate use lies with the end-user.