KennethEnevoldsen's picture
Added tests to validate datasheets and dataset structure
de8bb50 unverified
|
raw
history blame
2.9 kB
metadata
pretty_name: Hestenettet (Danish debate forum)
language:
  - da
license: cc0-1.0
license_name: Creative Commons Zero v1.0 Universal
size_categories:
  - 10k-100k
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling

Dataset Card for Hestenettet

Extracts from www.heste-nettet.dk a Danish debate forum.

The forum have been in use since 1997 and it is used as a debate forum covering a wide range of everyday topics.

Its inclusion as training data for large language models have multiple times reached national news.

Dataset Description

  • Language: dan, dansk, Danish
  • Number of samples: 14.39K
  • Number of tokens (Llama 3): 389.33M
  • Average document length (characters): 82950.79

Dataset Sturcture

An example from the dataset looks as follows.

{
    'text': 'Er den ikke kær? 
Jeg kan ikke forstå at der altid',
    'source': 'hest',
    'id': 'hest_forum112802271280227_0',
    'added': '2020-10-05',
    'created': '2000-01-01, 2022-01-01',
    'metadata': {
        'domain': 'Social Media',
        'license': 'Creative Commons Legal Code

CC0 1.0 Universal',
        'source-pretty': 'Hestenettet (Danish debate forum)'
        }
}

Data Fields

  • id: source-specific identifier.
  • text: textual content of the document.
  • source: source of the data.
  • added: timestamp ai2 acquired this data.
  • created": timestamp when original document was created (best-guess if not available)
  • metadata: source-specific metadata.

License Information

Creative Commons Zero v1.0 Universal

Creative Commons Legal Code

CC0 1.0 Universal

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}
}