Datasets:
annotations_creators:
- machine-generated
language:
- de
- fr
- it
language_creators:
- expert-generated
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
pretty_name: Swiss Doc2doc Information Retrieval
size_categories:
- 100K<n<1M
source_datasets:
- original
tags: []
task_categories:
- text-classification
task_ids:
- entity-linking-classification
https://huggingface.co/spaces/huggingface/datasets-tagging
Dataset Card for [doc2doc]
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
Swiss_doc2doc_ir is a multilingual, diachronic dataset of 131K Swiss Federal Supreme Court (FSCS) cases annotated with law citations and ruling citations, posing a challenging text classification task. As unique label we are using decision_id of cited rulings and uuid of cited law articles, which can be found in the SwissCourtRulingCorpus. We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case, to promote robustness and fairness studies on the critical area of legal NLP.
Supported Tasks and Leaderboards
doc2doc can be used as information retrieval task.
Languages
Switzerland has four official languages with three languages (German 86K, French 30k and Italian 10k) being represented. The decisions are written by the judges and clerks in the language of the proceedings.
Dataset Structure
Data Instances
{
"decision_id": "000127ef-17d2-4ded-8621-c0c962c18fd5",
"language": de,
"year": 2018,
"chamber": "CH_BGer_008",
"region": "Federation",
"origin_chamber": 47,
"origin_court": 8,
"origin_canton": 151,
"law_area": "social_law",
"law_sub_area": ,
"laws": "['75488867-c001-4eb9-93b9-04264ea91f55', 'e6b06567-1236-4210-adb3-e11c26e497d5', '04bf6369-99cb-41fa-8aff-413679bc8c18', ...],
"cited_rulings": "['fe8a76b3-8b0f-4f27-a277-2d887140e7ab', '16fef75e-e8d5-4a51-8230-a9ca3676c8a9', '6d21b282-3b23-41dd-9350-6ba5386df9b1', '302fd9f3-e78a-4a9f-9f8d-cde51fcbdfe7']",
"facts": "Sachverhalt: A. A._, geboren 1954, war ab November 2002 als Pflegehilfe im Altersheim C._ angestellt. Am 23. Dezember 2002 meldete sie sich erstmals unter Hinweis auf Depressionen ...",
"considerations": "Erwägungen: 1. 1.1. Die Beschwerde kann wegen Rechtsverletzung gemäss Art. 95 und Art. 96 BGG erhoben werden. Das Bundesgericht wendet das ...",
"rulings": "Demnach erkennt das Bundesgericht: 1. Die Beschwerde wird abgewiesen. 2. Die Gerichtskosten von Fr. 800.- werden der Beschwerdeführerin ...",
}
Data Fields
decision_id: (str) a unique identifier of the for the document
language: (str) one of (de, fr, it)
year: (int) the publication year
chamber: (str) the chamber of the case
region: (str) the region of the case
origin_chamber: (str) the chamber of the origin case
origin_court: (str) the court of the origin case
origin_canton: (str) the canton of the origin case
law_area: (str) the law area of the case
law_sub_area:(str) the law sub area of the case
laws: (str) a list of law ids
cited rulings: (str) a list of cited rulings ids
facts: (str) the facts of the case
considerations: (str) the considerations of the case
rulings: (str) the rulings of the case
Data Splits
The dataset was split date-stratisfied
- Train: 2002-2015
- Validation: 2016-2017
- Test: 2018-2022
| Language | Subset | Number of Documents (Training/Validation/Test) |
|---|---|---|
| German | de | 86'832 (59'170 / 19'002 / 8'660) |
| French | fr | 46'203 (30'513 / 10'816 / 4'874) |
| Italian | it | 8'306 (5'673 / 1'855 / 778) |
Dataset Creation
Curation Rationale
The dataset was created by Stern et al. (2023).
Source Data
Initial Data Collection and Normalization
The original data are available at the Swiss Federal Supreme Court (https://www.bger.ch) in unprocessed formats (HTML). The documents were downloaded from the Entscheidsuche portal (https://entscheidsuche.ch) in HTML.
Who are the source language producers?
The original data are published from the Swiss Federal Supreme Court (https://www.bger.ch) in unprocessed formats (HTML). The documents were downloaded from the Entscheidsuche portal (https://entscheidsuche.ch) in HTML.
Annotations
Annotation process
The decisions have been annotated with the citation ids using html tags and parsers. For more details on laws (rcds/swiss_legislation) and rulings (rcds/swiss_rulings).
Who are the annotators?
Stern annotated the citations. Metadata is published by the Swiss Federal Supreme Court (https://www.bger.ch).
Personal and Sensitive Information
The dataset contains publicly available court decisions from the Swiss Federal Supreme Court. Personal or sensitive information has been anonymized by the court before publication according to the following guidelines: https://www.bger.ch/home/juridiction/anonymisierungsregeln.html.
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
We release the data under CC-BY-4.0 which complies with the court licensing (https://www.bger.ch/files/live/sites/bger/files/pdf/de/urteilsveroeffentlichung_d.pdf) © Swiss Federal Supreme Court, 2002-2022
The copyright for the editorial content of this website and the consolidated texts, which is owned by the Swiss Federal Supreme Court, is licensed under the Creative Commons Attribution 4.0 International licence. This means that you can re-use the content provided you acknowledge the source and indicate any changes you have made. Source: https://www.bger.ch/files/live/sites/bger/files/pdf/de/urteilsveroeffentlichung_d.pdf
Citation Information
Visu, Ronja, Joel Title: Blabliblablu Name of conference
cit
Contributions
Thanks to @Stern5497 for adding this dataset.