language:
- pl
pretty_name: Polish SCOTUS-Dec
task_categories:
- text-classification
size_categories:
- 1K<n<10K
tags:
- legal
- long-context
- document-classification
- scotus
- polish
- translated
Polish SCOTUS-Dec
Polish SCOTUS-Dec is a long-document legal text classification dataset derived from the publicly available SCOTUS dataset.
The dataset contains Polish translations of U.S. Supreme Court opinions. The task is a binary document classification problem in which the goal is to predict the ideological direction associated with the court decision: liberal or conservative.
SCOTUS-Dec is part of the LongContext benchmark introduced with Polish ModernBERT.
Dataset statistics
| Split | Examples |
|---|---|
| Train | 7,413 |
| Validation | 912 |
| Test | 931 |
| Total | 9,256 |
SCOTUS-Dec uses the same court opinions and dataset splits as SCOTUS-Dom.
The dataset contains particularly long documents: 74.5% of test examples exceed 4,096 tokens when tokenized with the Polish ModernBERT Base tokenizer.
Dataset construction
The original English court opinions were translated into Polish using GLM-4.6. The original SCOTUS train, validation, and test splits and task labels were retained.
Citation
If you use this dataset, please cite:
@misc{perełkiewicz2026polishmodernbertlongshort,
title={Polish ModernBERT: The Long and Short of Polish Language Understanding},
author={Michał Perełkiewicz and Sławomir Dadas and Rafał Poświata and Małgorzata Grębowiec},
year={2026},
eprint={2609.01379},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2609.01379},
}