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README.md
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- name: headnote
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dtype: string
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- name: law_area
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dtype: string
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- name: year
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dtype: int64
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- name: url
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dtype: string
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splits:
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- name: train
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num_bytes: 201723622.56204563
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num_examples: 13550
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- name: validation
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num_bytes: 3383819.6266666665
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num_examples: 137
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- name: test
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num_bytes: 5089582.021472393
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num_examples: 207
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download_size: 106800873
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dataset_size: 210197024.2101847
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- config_name: fr
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features:
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- name: decision_id
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dtype: string
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- name: decision
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dtype: string
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- name: headnote
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dtype: string
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- name: law_area
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dtype: string
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- name: year
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dtype: int64
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- name: url
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dtype: string
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splits:
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num_bytes: 81225393.7046879
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num_examples: 5456
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- name: validation
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num_bytes: 1358467.7333333334
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num_examples: 55
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- name: test
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num_bytes: 2630846.745398773
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num_examples: 107
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download_size: 42509320
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dataset_size: 85214708.18342
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- config_name: it
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features:
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- name: decision_id
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dtype: string
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- name: decision
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dtype: string
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- name: headnote
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dtype: string
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- name: law_area
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dtype: string
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- name: year
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dtype: int64
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- name: url
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dtype: string
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splits:
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- name: train
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num_bytes: 13979223.733266482
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num_examples: 939
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- name: validation
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num_bytes: 197595.30666666667
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num_examples: 8
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- name: test
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num_bytes: 295048.23312883434
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num_examples: 12
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download_size: 7426990
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dataset_size: 14471867.273061983
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configs:
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- config_name: de
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data_files:
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- split: train
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path: de/train-*
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- split: validation
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path: de/validation-*
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- split: test
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path: de/test-*
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- config_name: fr
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data_files:
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- split: train
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path: fr/train-*
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- split: validation
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path: fr/validation-*
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- split: test
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path: fr/test-*
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- config_name: it
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data_files:
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- split: train
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path: it/train-*
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- split: validation
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path: it/validation-*
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- split: test
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path: it/test-*
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---
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---
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license: cc-by-4.0
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language:
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- de
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- fr
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- it
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task_categories:
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- summarization
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---
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# SLDS monolingual subsets
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Monolingual pairs from the Swiss Landmark Decisions Summarization dataset
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([ipst/slds](https://huggingface.co/datasets/ipst/slds), Rolshoven et al., Findings of
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EMNLP 2025). Each row pairs a Swiss Federal Supreme Court decision with the headnote the
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court publishes in the same language.
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## Construction
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Each config keeps exactly the rows of the corresponding `ipst/slds` split where
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`decision_language` and `headnote_language` both equal the config's language, with the
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original column values unchanged (`decision_id`, `decision`, `headnote`, `law_area`,
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`year`, `url`). The cross-lingual pairs of the source dataset are omitted.
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## Subsets and splits
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| config | train | validation | test |
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|---|---|---|---|
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| de | 13,550 | 137 | 207 |
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| fr | 5,456 | 55 | 107 |
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| it | 939 | 8 | 12 |
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## License and citation
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CC BY 4.0, following the source dataset. Please cite the source paper:
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```bibtex
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@inproceedings{rolshoven-etal-2025-unlocking,
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title = "Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in {S}witzerland",
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author = {Rolshoven, Luca and Rasiah, Vishvaksenan and Bose, Srinanda Br{\"u}gger and Hostettler, Sarah and Burkhalter, Lara and St{\"u}rmer, Matthias and Niklaus, Joel},
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booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
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month = nov,
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year = "2025",
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}
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```
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