Datasets:
metadata
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, 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:
@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",
}