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--- |
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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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--- |
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# Dataset Card for Swiss Court View Generation |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** |
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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 | Numer of sentences | |
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|------------|------------|---------------------| |
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| German(Germany) | **german** | 1068 | |
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| French | **french** | 1059 | |
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| Italian | **italian** |1001 | |
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| German (Switzerland) | **swiss**| 206 | |
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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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### Personal and Sensitive Information |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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### Discussion of Biases |
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### Other Known Limitations |
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## Additional Information |
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### Dataset Curators |
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### Licensing Information |
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### Citation Information |
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### Contributions |
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--- |
