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--- |
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dataset_info: |
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features: |
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- name: case_id |
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dtype: string |
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- name: Overskrift |
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dtype: string |
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- name: Afgørelsesstatus |
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dtype: string |
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- name: Faggruppe |
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dtype: string |
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- name: Ret |
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dtype: string |
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- name: Rettens sagsnummer |
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dtype: string |
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- name: Sagstype |
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dtype: string |
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- name: Instans |
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dtype: string |
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- name: Domsdatabasens sagsnummer |
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dtype: string |
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- name: Sagsemner |
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dtype: string |
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- name: Særlige retsskridt |
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dtype: string |
|
- name: Sagsdeltagere |
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dtype: string |
|
- name: Dørlukning |
|
dtype: string |
|
- name: Løftet ud af småsagsprocessen |
|
dtype: string |
|
- name: Anerkendelsespåstand |
|
dtype: string |
|
- name: Politiets journalnummer |
|
dtype: string |
|
- name: Påstandsbeløb |
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dtype: string |
|
- name: Sagskomplekser |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: text_anonymized |
|
dtype: string |
|
- name: text_len |
|
dtype: int64 |
|
- name: text_anon_len |
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dtype: int64 |
|
splits: |
|
- name: train |
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num_bytes: 193593176 |
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num_examples: 3917 |
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download_size: 96435472 |
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dataset_size: 193593176 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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language: |
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- da |
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task_categories: |
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- text-generation |
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size_categories: |
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- 1K<n<10K |
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--- |
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|
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# Dataset Card for "domsdatabasen" |
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## Dataset Description |
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- **Point of Contact:** [Oliver Kinch](mailto:[email protected]) |
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- **Size of dataset:** 199 MB |
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|
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### Dataset Summary |
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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 consists of tabular data and a case-descriptive PDF. This dataset collects all these cases, with each sample describing a specific judgment/case. |
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The PDFs are anonymized to protect sensitive information. Therefore, each sample includes two text versions: |
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- `text_anon` (with anonymization tags: \<anonym\>"Some sensitive text"\</anonym\>). |
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- `text` (without anonymization tags). |
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`text_anon` is read with [Easyocr](https://github.com/JaidedAI/EasyOCR). |
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`text` is read with [Easyocr](https://github.com/JaidedAI/EasyOCR) or [Tika-python](https://github.com/chrismattmann/tika-python) |
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depending on the PDF and the anonymization method used. |
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`text_anon` will be empty if no anonymization is detected in the PDF. |
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### Languages |
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The dataset is available in Danish (`da`). |
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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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... The tabualar string data ..., |
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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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### Data Fields |
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- `case_id`: a `string` 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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### Dataset Statistics |
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#### Size of dataset |
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With the PDF texts being provided in two versions, `text` and `text_anon`, the total size of all PDF texts is approximately ~199//2 MB. |
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#### Number of samples |
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- 3919 |
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#### PDF Text Length Distribution |
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Statistics based on `text`. |
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- Minimum length: 192 |
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- Maximum length: 2101736 |
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 |
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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/) |
