metadata

pretty_name: retspraksis (Danish legal information)
language:
  - da
license: cc0-1.0
license_name: CC-0
size_categories:
  - 1-10k
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
source_datasets:
  - danish-foundation-models/danish-gigaword

Dataset Card for retspraksis

Case law or judical practice in Denmark derived from Retspraksis.

It encompasses the body of legal decisions made by Danish courts, which play a significant role in interpreting and applying the law.

Dataset Description

Language: dan, dansk, Danish
Number of samples: 4.41K
Number of tokens (Llama 3): 57.08M
Average document length (characters): 46323.67

Dataset Structure

An example from the dataset looks as follows.

{
  "text": "                             højesterets dom\n                        afsagt torsdag den 6. december [...]",
  "source": "retspraksis",
  "id": "retspraksis_517",
  "added": "2020-09-24",
  "created": "2000-01-01, 2022-01-01",
  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
  "domain": "Legal",
  "metadata": {
    "source-pretty": "retspraksis (Danish legal information)"
  }
}

Data Fields

An entry in the dataset consists of the following fields:

text(str): The content of the document.
source (str): The source of the document (see Source Data).
id (str): An unique identifier for each document.
added (str): An date for when the document was added to this collection.
created (str): An date range for when the document was originally created.
license (str): The license of the document. The licenses vary according to the source.
domain (str): The domain of the source
metadata/source-pretty (str): The long form version of the short-form source name
metadata/*: Potentially additional metadata

Dataset Statistics

Additional Information

Citation Information

This dataset was initially published as part of the Danish gigaword. We recommend that you cite and reference it if you use this dataset:

Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021).

@inproceedings{dagw,
 title = {{The Danish Gigaword Corpus}},
 author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab},
 year = 2021,
 booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics},
 publisher = {NEALT}
}