metadata
license: cc-by-nd-4.0
viewer: true
task_categories:
- token-classification
tags:
- legal
pretty_name: Multilingual Negation Scope Resolution
size_categories:
- 1K<n<10K
Dataset Card for Swiss Court View Generation
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
This dataset consists of German, French, and Italian court documents annotated for negation cues and negation scopes.
Supported Tasks and Leaderboards
Languages
| Language | Subset | Numer of sentences |
|---|---|---|
| German(Germany) | german | 1068 |
| French | french | 1059 |
| Italian | italian | 1001 |
| German (Switzerland) | swiss | 206 |
Dataset Structure
Data Fields
- text (string): full sentence
- spans (list): list of annotated cues and scopes
- start (int): offset of the beginning of the annotation
- end (int): offset of the end of the annotation
- token_start(int): id of the first token in the annotation
- token_end(int): id of the last token in the annotation
- label (string): CUE or SCOPE
- tokens (list): list of tokens in the sentence
- text (string): token text
- start (int): offset of the first character
- end (int): offset of the last character
- id (int): token id
- ws (boolean): indicates if the token is followed by a white space
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
There is only one split available (train).
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Annotations
The data is annotated for negation cues and their scopes.
Annotation process
Each language was annotated by one native speaking annotator and follows strict annotation guidelines