metadata

dataset_info:
  features:
    - name: case_id
      dtype: string
    - name: tabular_data
      struct:
        - 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
  splits:
    - name: train
      num_bytes: 193530504
      num_examples: 3917
  download_size: 96393615
  dataset_size: 193530504
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

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",
  "tabular_data": {
    "Overskift": "some title",
    "Sagstype": "type of case",
    ...
}
  "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.
tabular_data: a dict 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

Licensing Information

The dataset is licensed under the CC0 license.