Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
arrow
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
legal
License:
added dataset description
Browse files
README.md
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This dataset was introduced in [CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions](https://arxiv.org/abs/2501.00097).
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The CaseSumm dataset consists of U.S. Supreme Court cases and their official summaries, called syllabuses, from the period 1815-2019. Syllabuses are written by an attorney employed by the Court and approved by the Justices. The syllabus is therefore the gold standard for summarizing majority opinions, and ideal for evaluating other summaries of the opinion. We obtain the opinions from Public Resource Org's archive and extract syllabuses from the official opinions published in the U.S. Reporter and hosted by the Library of Congress. Our dataset is available under a CC BY-NC 4.0 license, representing a rich resource for the research community.
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All the data and code within this repo are under CC BY-NC-SA 4.0. Please consider citing our project if it helps your research.
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## Dataset Description
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- **Paper:** [https://arxiv.org/abs/2501.00097]()
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## Dataset Summary
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This dataset was introduced in [CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions](https://arxiv.org/abs/2501.00097).
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The CaseSumm dataset consists of U.S. Supreme Court cases and their official summaries, called syllabuses, from the period 1815-2019. Syllabuses are written by an attorney employed by the Court and approved by the Justices. The syllabus is therefore the gold standard for summarizing majority opinions, and ideal for evaluating other summaries of the opinion. We obtain the opinions from Public Resource Org's archive and extract syllabuses from the official opinions published in the U.S. Reporter and hosted by the Library of Congress. Our dataset is available under a CC BY-NC 4.0 license, representing a rich resource for the research community.
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## License and Citation
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All the data and code within this repo are under CC BY-NC-SA 4.0. Please consider citing our project if it helps your research.
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