Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
1M - 10M
License:
metadata
pretty_name: Nordjylland News
language:
- da
license: cc0-1.0
license_name: CC-0
size_categories:
- 10-100k
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
source_datasets:
- alexandrainst/nordjylland-news-summarization
Dataset Card for Nordjylland News
Articles from the Danish Newspaper TV2 Nord.
The data is derived from the Huggingface dataset alexandrainst/nordjylland-news-summarization originally intended for text summarization.
Dataset Description
- Language: dan, dansk, Danish
- Number of samples: 75.22K
- Number of tokens (Llama 3): 37.91M
- Average document length (characters): 1540.27
Dataset Structure
An example from the dataset looks as follows.
{
"text": "Lav et referat af nedenstående tekst:\n\nTekst:\nOpdatering: Manden er nu fundet af Nordjyllands Politi[...]",
"source": "nordjyllandnews",
"id": "nordjyllandnews_0",
"added": "2024-12-16",
"created": "2000-01-01, 2024-01-01",
"license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
"domain": "News",
"metadata": {
"source-pretty": "Nordjylland News"
}
}
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 sourcemetadata/source-pretty
(str
): The long form version of the short-form source namemetadata/*
: Potentially additional metadata
Dataset Statistics
Additional Information
Opportunities for Improvement
An updated version of the this data could be fetched from their API.
Sourced data
This dataset is derived from alexandrainst/nordjylland-news-summarization
Citation Information
No citation is applicable for this work. We recommend citing the huggingface repository.