

# Dataset Card for Swiss Court View Generation

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

Swiss Judgment Prediction is a multilingual, diachronic dataset of 329K Swiss Federal Supreme Court (FSCS) cases. This dataset is part of a challenging text generation task.

### Supported Tasks and Leaderboards
### Languages

Switzerland has four official languages with three languages German, French and Italian being represented. The decisions are written by the judges and clerks in the language of the proceedings.


| Language   | Subset     | Number of Documents Full |
|------------|------------|--------------------------|
| German     | **de**     | 160K                     |
| French     | **fr**     | 128K                     |
| Italian    | **it**     | 41K                      |

## Dataset Structure

### Data Fields

```
- decision_id: unique identifier for the decision
- facts: facts section of the decision
- considerations: considerations section of the decision
- label: label of the decision
- law_area: area of law of the decision
- language: language of the decision
- year: year of the decision
- court: court of the decision
- chamber: chamber of the decision
- canton: canton of the decision
- region: region of the decision
```

### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
## Dataset Creation
### Curation Rationale
### Source Data
#### Initial Data Collection and Normalization

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. 

#### Who are the source language producers?

The decisions are written by the judges and clerks in the language of the proceedings.

### Annotations
#### Annotation process

#### Who are the annotators?

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

Please cite our [ArXiv-Preprint](https://arxiv.org/abs/2306.09237)
```
@misc{rasiah2023scale,
      title={SCALE: Scaling up the Complexity for Advanced Language Model Evaluation}, 
      author={Vishvaksenan Rasiah and Ronja Stern and Veton Matoshi and Matthias Stürmer and Ilias Chalkidis and Daniel E. Ho and Joel Niklaus},
      year={2023},
      eprint={2306.09237},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

### Contributions

task_categories:text-classification size_categories:100K<n<1M language:it language:de language:fr license:cc-by-sa-4.0 arxiv:2306.09237 region:us
{"language": ["it", "de", "fr"], "license": "cc-by-sa-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "pretty_name": "Swiss Judgment Prediction XL"}
TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-Italian #language-German #language-French #license-cc-by-sa-4.0 #arxiv-2306.09237 #region-us 

Dataset Card for Swiss Court View Generation
============================================


Table of Contents
-----------------


* Table of Contents
* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage:
* Repository:
* Paper:
* Leaderboard:
* Point of Contact:


### Dataset Summary


Swiss Judgment Prediction is a multilingual, diachronic dataset of 329K Swiss Federal Supreme Court (FSCS) cases. This dataset is part of a challenging text generation task.


### Supported Tasks and Leaderboards


### Languages


Switzerland has four official languages with three languages German, French and Italian being represented. The decisions are written by the judges and clerks in the language of the proceedings.


Language: German, Subset: de, Number of Documents Full: 160K
Language: French, Subset: fr, Number of Documents Full: 128K
Language: Italian, Subset: it, Number of Documents Full: 41K


Dataset Structure
-----------------


### Data Fields


### Data Instances


### Data Fields


### Data Splits


Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


The original data are published from the Swiss Federal Supreme Court (URL) in unprocessed formats (HTML). The documents were downloaded from the Entscheidsuche portal (URL) in HTML.


#### Who are the source language producers?


The decisions are written by the judges and clerks in the language of the proceedings.


### Annotations


#### Annotation process


#### Who are the annotators?


Metadata is published by the Swiss Federal Supreme Court (URL).


### 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: URL


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


We release the data under CC-BY-4.0 which complies with the court licensing (URL
© 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: URL


Please cite our ArXiv-Preprint


### Contributions



### Dataset Summary


Swiss Judgment Prediction is a multilingual, diachronic dataset of 329K Swiss Federal Supreme Court (FSCS) cases. This dataset is part of a challenging text generation task. ### Supported Tasks and Leaderboards ### Languages


Switzerland has four official languages with three languages German, French and Italian being represented. The decisions are written by the judges and clerks in the language of the proceedings.


Language: German, Subset: de, Number of Documents Full: 160K
Language: French, Subset: fr, Number of Documents Full: 128K
Language: Italian, Subset: it, Number of Documents Full: 41K


Dataset Structure
----------------- ### Data Fields ### Data Instances ### Data Fields ### Data Splits


Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization


The original data are published from the Swiss Federal Supreme Court (URL) in unprocessed formats (HTML). The documents were downloaded from the Entscheidsuche portal (URL) in HTML. #### Who are the source language producers?


The decisions are written by the judges and clerks in the language of the proceedings. ### Annotations #### Annotation process #### Who are the annotators?


Metadata is published by the Swiss Federal Supreme Court (URL). ### 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: URL


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


We release the data under CC-BY-4.0 which complies with the court licensing (URL
© 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: URL


Please cite our ArXiv-Preprint ### Contributions
TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-Italian #language-German #language-French #license-cc-by-sa-4.0 #arxiv-2306.09237 #region-us 
 ### Dataset Summary


Swiss Judgment Prediction is a multilingual, diachronic dataset of 329K Swiss Federal Supreme Court (FSCS) cases. This dataset is part of a challenging text generation task. ### Supported Tasks and Leaderboards ### Languages


Switzerland has four official languages with three languages German, French and Italian being represented. The decisions are written by the judges and clerks in the language of the proceedings.


Language: German, Subset: de, Number of Documents Full: 160K
Language: French, Subset: fr, Number of Documents Full: 128K
Language: Italian, Subset: it, Number of Documents Full: 41K


Dataset Structure
----------------- ### Data Fields ### Data Instances ### Data Fields ### Data Splits


Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization


The original data are published from the Swiss Federal Supreme Court (URL) in unprocessed formats (HTML). The documents were downloaded from the Entscheidsuche portal (URL) in HTML. #### Who are the source language producers?


The decisions are written by the judges and clerks in the language of the proceedings. ### Annotations #### Annotation process #### Who are the annotators?


Metadata is published by the Swiss Federal Supreme Court (URL). ### 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: URL


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


We release the data under CC-BY-4.0 which complies with the court licensing (URL
© 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: URL


Please cite our ArXiv-Preprint ### Contributions
passage: TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-Italian #language-German #language-French #license-cc-by-sa-4.0 #arxiv-2306.09237 #region-us 
### Dataset Summary


Swiss Judgment Prediction is a multilingual, diachronic dataset of 329K Swiss Federal Supreme Court (FSCS) cases. This dataset is part of a challenging text generation task.### Supported Tasks and Leaderboards### Languages


Switzerland has four official languages with three languages German, French and Italian being represented. The decisions are written by the judges and clerks in the language of the proceedings.


Language: German, Subset: de, Number of Documents Full: 160K
Language: French, Subset: fr, Number of Documents Full: 128K
Language: Italian, Subset: it, Number of Documents Full: 41K


Dataset Structure
-----------------### Data Fields### Data Instances### Data Fields### Data Splits


Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization


The original data are published from the Swiss Federal Supreme Court (URL) in unprocessed formats (HTML). The documents were downloaded from the Entscheidsuche portal (URL) in HTML.#### Who are the source language producers?


The decisions are written by the judges and clerks in the language of the proceedings.### Annotations#### Annotation process#### Who are the annotators?


Metadata is published by the Swiss Federal Supreme Court (URL).### 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: URL


Considerations for Using the Data
---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations


Additional Information
----------------------### Dataset Curators