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Datasets:
danish-foundation-models
/
danish-dynaword

Tasks:
Text Generation
Modalities:
Image
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
1M - 10M
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
41
danish-dynaword
File size: 2,437 Bytes 
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---
pretty_name: Wikisource
language:
  - da
license: cc0-1.0
license_name: Creative Commons Zero v1.0 Universal
size_categories:
  - 1-10k
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
---
# Dataset Card for Wikisource

The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page).

## Dataset Description

<!-- START-DESC-STATS -->

- **Language**: dan, dansk, Danish
- **Number of samples**: 2.43K
- **Average document length (characters)**: 6372.49

<!-- END-DESC-STATS -->


## Dataset Sturcture
An example from the dataset looks as follows.

```yaml
{
    'text': '&lt;poem&gt;
Kæmpehøjen.
Jeg har stået på mindets ',
    'source': 'wikisource',
    'id': 'wikisource_4804',
    'added': '2021-03-28',
    'created': '1700-01-01, 2022-01-01',
    'metadata': {
        'domain': 'Wiki & Books',
        'license': 'Creative Commons Legal Code

CC0 1.0 Universal',
        'source-pretty': 'Wikisource'
        }
}
```

## 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
<details>
<summary>Creative Commons Zero v1.0 Universal</summary>
<p>
Creative Commons Legal Code

CC0 1.0 Universal
</p>
</details>


## Additional Information


### Citation Information

This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).

```bash
@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}
}
```