metadata

pretty_name: TV 2 Radio (Danish news)
language:
  - da
license: cc-by-sa-4.0
license_name: Creative Commons Attribution Share Alike 4.0
size_categories:
  - 10k-100k
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling

Dataset Card for TV 2 Radio (Danish news)

Dataset Description

This dataset includes contemporary Danish newswire articles published between 2010 and 2019.

It contains articles of regional interest, written following editorial standards. This section’s value is in both its temporal variation, covering a decade of events, and its spatial variation, covering many local events across most of Denmark (TV2 Bornholm is excluded). As a result of local event coverage, the section contains many locally relevant named entities, which might otherwise not be present in a dataset of national news.

Language: dan, dansk, Danish
Number of samples: 49.14K
Number of tokens (Llama 3): 21.67M
Average document length (characters): 1303.38

Dataset Sturcture

An example from the dataset looks as follows.

License Information

Creative Commons Attribution Share Alike 4.0

The owner of this content is TV2 Regionerne, Denmark. Creative Commons Attribution 4.0 International

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}
}