metadata

dataset_info:
  features:
    - name: case_id
      dtype: string
    - name: Overskrift
      dtype: string
    - name: Afgørelsesstatus
      dtype: string
    - name: Faggruppe
      dtype: string
    - name: Ret
      dtype: string
    - name: Rettens sagsnummer
      dtype: string
    - name: Sagstype
      dtype: string
    - name: Instans
      dtype: string
    - name: Domsdatabasens sagsnummer
      dtype: string
    - name: Sagsemner
      dtype: string
    - name: Særlige retsskridt
      dtype: string
    - name: Sagsdeltagere
      dtype: string
    - name: Dørlukning
      dtype: string
    - name: Løftet ud af småsagsprocessen
      dtype: string
    - name: Anerkendelsespåstand
      dtype: string
    - name: Politiets journalnummer
      dtype: string
    - name: Påstandsbeløb
      dtype: string
    - name: Sagskomplekser
      dtype: string
    - name: text
      dtype: string
    - name: text_anonymized
      dtype: string
    - name: text_len
      dtype: int64
    - name: text_anon_len
      dtype: int64
  splits:
    - name: train
      num_bytes: 193593176
      num_examples: 3917
  download_size: 96435472
  dataset_size: 193593176
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
language:
  - da
task_categories:
  - text-generation
size_categories:
  - 1K<n<10K

Dataset Card for "domsdatabasen"

Dataset Description

Point of Contact: Oliver Kinch
Size of dataset: 199 MB

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