---
pretty_name: Danish Dependency Treebank
language:
  - da
license: cc-by-sa-4.0
license_name: Creative Commons Attribution Share Alike 4.0
size_categories:
  - 1-10k
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
---
# Dataset Card for Danish Dependency Treebank

The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT).

The Danish UD treebank has been converted from the Danish Dependency Treebank (Buch-Kromman, 2003) into Universal Dependencies (UD). It consists of 5,512 sentences (100k words). The Danish source texts and the Danish part-of-speech tags were created by the PAROLE-DK project (Keson 1998) by the Danish Society for Language and Literature.

While the dataset was initially intended as a rich annotation, this corpora only uses the raw text.

## Dataset Description

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

- **Language**: dan, dansk, Danish
- **Number of samples**: 536
- **Average document length (characters)**: 1018.90

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


## Dataset Sturcture
An example from the dataset looks as follows.
```yaml
{
    'text': 'H.L. Hansen var en usædvanmlig og frodig personlig',
    'source': 'depbank',
    'id': 'depbank_0375',
    'added': '2024-05-16',
    'created': '2000-01-01, 2022-01-01',
    'metadata': {
        'domain': 'Other',
        'license': 'Attribution-ShareAlike 4.0 International',
        'source-pretty': 'Danish Dependency Treebank'
        }
}
```

## 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 Attribution Share Alike 4.0</summary>
<p>
Attribution-ShareAlike 4.0 International
</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}
}
```