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