Dataset Card for "domsdatabasen"

Dataset Summary

Domsdatabasen is a database where you can find and read selected judgments delivered by the Danish Courts.

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.

The PDFs are anonymized to protect sensitive information. Therefore, each sample includes two text versions:

• text_anon (with anonymization tags: <anonym>"Some sensitive text"</anonym>).
• text (without anonymization tags).

text_anon is read with Easyocr.

text is read with Easyocr or Tika-python depending on the PDF and the anonymization method used.

text_anon will be empty if no anonymization is detected in the PDF.

Languages

The dataset is available in Danish (da).

Dataset Structure

An example from the dataset looks as follows.

{
  "case_id": "id of case/judgment",
  ... The tabualar string data ...,
  "text": "pdf text",
  "text_anon": "anonymized pdf text"
  "text_len": <number of chars in text>,
  "text_anon_len": <number of chars in anonymized text>
}

Data Fields

• case_id: a string feature.
• text: a string feature.
• text_anon: a string feature.
• text_len: an int feature.
• text_anon_len: an int feature.

Dataset Statistics

Size of dataset

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.

Number of samples

• 3919

PDF Text Length Distribution

Statistics based on text.

• Minimum length: 192
• Maximum length: 2101736

Potential Dataset Issues

See open issues.

Dataset Creation

Curation Rationale

There are not many large-scale law datasets in Danish.

Source Data

The dataset has been scraped from Domsdatabasen.

Additional Information

Dataset Curators

Oliver Kinch from the The Alexandra Institute