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mmichall/SCOTUS-Dom

Polish SCOTUS-Dom Polish SCOTUS-Dom 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 an 11-class document classification problem in which the goal is to predict the legal issue area of a court case. SCOTUS-Dom is part of the LongContext benchmark introduced with Polish ModernBERT. Dataset statistics Split Examples… See the full description on the dataset page: https://huggingface.co/datasets/mmichall/SCOTUS-Dom.

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Polish SCOTUS-Dom

Polish SCOTUS-Dom 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 an 11-class document classification problem in which the goal is to predict the legal issue area of a court case.

SCOTUS-Dom is part of the LongContext benchmark introduced with Polish ModernBERT.

Dataset statistics

SplitExamples
Train7,413
Validation912
Test931
Total9,256

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:

bibtex
@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}, 
}