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Added distribution plot for number of tokens
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metadata
pretty_name: Wikipedia
language:
  - da
license: cc0-1.0
license_name: CC-0
size_categories:
  - 100k-1M
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
source_datasets:
  - danish-foundation-models/danish-gigaword

Dataset Card for Wikipedia

The Danish subsection of wikipedia.

You can read more about wikipedia on their about page.

Dataset Description

  • Language: dan, dansk, Danish
  • Number of samples: 264.50K
  • Number of tokens (Llama 3): 122.00M
  • Average document length (characters): 1386.64

Dataset Structure

An example from the dataset looks as follows.

{
  "text": "Vimoutiers er en kommune i departementet Orne i Basse-Normandie regionen i det nordvestlige Frankrig[...]",
  "source": "wiki",
  "id": "wiki_366127",
  "added": "2021-03-28",
  "created": "2019-01-01, 2021-01-01",
  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
  "domain": "Wiki & Books",
  "metadata": {
    "source-pretty": "Wikipedia"
  }
}

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}
}