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