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The robust European language model benchmark

(formerly known as ScandEval)


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Installation and usage

See the documentation for more information.

Reproducing the evaluation datasets

All datasets used in this project are generated using the scripts located in the src/scripts/dataset_creation folder. To reproduce a dataset, run the corresponding script with the following command

uv run src/scripts/dataset_creation/<name-of-script>.py

Replace with the specific script you wish to execute, e.g.,

uv run src/scripts/dataset_creation/create_allocine.py

Contributors 🙏

A huge thank you to all the contributors who have helped make this project a success!

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Contribute to EuroEval

We welcome contributions to EuroEval! Whether you're fixing bugs, adding features, or contributing new datasets, your help makes this project better for everyone.

  • General contributions: Check out our contribution guidelines for information on how to get started.
  • Volunteer GPU workers: See the volunteer worker guide to run or operate a community evaluation worker.
  • Adding datasets: If you're interested in adding a new dataset to EuroEval, we have a dedicated guide with step-by-step instructions.

Special thanks

  • Thanks to Google for sponsoring Gemini credits as part of their Google Cloud for Researchers Program.
  • Thanks @Mikeriess for evaluating many of the larger models on the leaderboards.
  • Thanks to OpenAI for sponsoring OpenAI credits as part of their Researcher Access Program.
  • Thanks to UWV and KU Leuven for sponsoring the Azure OpenAI credits used to evaluate GPT-4-turbo in Dutch.
  • Thanks to Miðeind for sponsoring the OpenAI credits used to evaluate GPT-4-turbo in Icelandic and Faroese.
  • Thanks to CHC for sponsoring the OpenAI credits used to evaluate GPT-4-turbo in German.

Citing EuroEval

If you want to cite the framework then feel free to use this:

@inproceedings{smart2025encoder,
  title={Encoder vs decoder: Comparative analysis of encoder and decoder language models on multilingual NLU tasks},
  author={Smart, Dan Saattrup and Enevoldsen, Kenneth and Schneider-Kamp, Peter},
  booktitle={Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)},
  pages={561--572},
  year={2025}
}

@inproceedings{smart2023scandeval,
  author = {Smart, Dan Saattrup},
  booktitle = {Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)},
  month = may,
  pages = {185--201},
  title = {{ScandEval: A Benchmark for Scandinavian Natural Language Processing}},
  year = {2023}
}

Metadata

Release files for EuroEval 18.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for EuroEval 18.3.0
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euroeval-18.3.0.tar.gz 12.1 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for EuroEval 18.3.0
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euroeval-18.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 12.6 MB

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