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-*
license: cc0-1.0
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

Licensing Information

The dataset is licensed under the CC0 license.