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@@ -55,3 +55,91 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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+ # Dataset Card for "domsdatabasen
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+
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+ ## Dataset Description
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+
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+ - **Point of Contact:** [Oliver Kinch](mailto:oliver.kinch@alexandra.dk)
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+ - **Size of dataset:** 199 MB
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+
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+ ### Dataset Summary
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+
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+ [Domsdatabasen](https://domsdatabasen.dk/) is a database where you can find and read selected judgments delivered by the Danish Courts.
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+ Each judgment/case is paired with tabular data and a case-descriptive PDF.
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+ This dataset is a collection of all these cases, with each sample describing a specific judgment/case.
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+ ### Languages
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+ The dataset is available in Danish (`da`).
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+
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+ ## Dataset Structure
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+ An example from the dataset looks as follows.
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+ ```
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+ {
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+ "case_id": "id of case/judgment",
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+ "tabular_data": {
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+ "Overskift": "some title",
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+ "Sagstype": "type of case",
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+ ...
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+ }
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+ "text": "pdf text",
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+ "text_anon": "anonymized pdf text"
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+ "text_len": <number of chars in text>,
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+ "text_anon_len": <number of chars in anonymized text>
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `case_id`: a `string` feature.
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+ - `tabular_data`: a `dict` feature.
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+ - `text`: a `string` feature.
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+ - `text_anon`: a `string` feature.
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+ - `text_len`: an `int` feature.
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+ - `text_anon_len`: an `int` feature.
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+
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+ ### Dataset Statistics
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+
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+ #### Number of samples
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+ - 3919
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+ #### PDF Text Length Distribution
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+ - Minimum length: 192
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+ - Maximum length: 2101736
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/61e0713ac50610f535ed2c88/YTBH-nSHd2b4z6LIjeMF-.png)
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+ ## Potential Dataset Issues
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+ See [open issues](https://github.com/oliverkinch/doms_databasen/issues)
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+ ## Dataset Creation
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+ ### Curation Rationale
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+ There are not many large-scale law datasets in Danish.
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+ ### Source Data
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+ The dataset has been scraped from [Domsdatabasen](https://domsdatabasen.dk/)
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+ ## Additional Information
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+ ### Dataset Curators
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+ [Oliver Kinch](https://huggingface.co/oliverkinch) from the [The Alexandra
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+ Institute](https://alexandra.dk/)
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+ ### Licensing Information
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+ The dataset is licensed under the [CC0
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+ license](https://creativecommons.org/share-your-work/public-domain/cc0/).