Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
1M - 10M
License:
File size: 3,101 Bytes
fcc0222 243fc1f fcc0222 ef0f90a fcc0222 ef0f90a fcc0222 243fc1f de8bb50 243fc1f de8bb50 243fc1f fcc0222 73fd2fd 38b692a f2ad4e1 9c15515 f2ad4e1 73fd2fd 38b692a 3e28a50 fcc0222 38b692a de8bb50 38b692a de8bb50 243fc1f 0cef317 243fc1f 38b692a 243fc1f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 |
---
pretty_name: Synnejysk Forening
language:
- da
license: cc0-1.0
license_name: CC-0
size_categories:
- 1-10k
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
source_datasets:
- danish-foundation-models/danish-gigaword
---
# Dataset Card for synnejysk Forening
<!-- START-SHORT DESCRIPTION -->
Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk.
<!-- END-SHORT DESCRIPTION -->
## Dataset Description
<!-- START-DESC-STATS -->
- **Language**: dan, dansk, Danish
- **Number of samples**: 178
- **Number of tokens (Llama 3)**: 52.51K
- **Average document length (characters)**: 785.33
<!-- END-DESC-STATS -->
## Dataset Structure
An example from the dataset looks as follows.
<!-- START-SAMPLE -->
```py
{
"text": "Mangeægskage Hent printvenligt dokument her – Klik her Som medlem af Æ Synnejysk Forening er du med [...]",
"source": "synne",
"id": "synne_forening_0140",
"added": "2020-06-26",
"created": "2000-01-01, 2022-01-01",
"license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
"domain": "Other",
"metadata": {
"source-pretty": "Synderjysk (Danish dialect)"
}
}
```
### 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](#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 source
- `metadata/source-pretty` (`str`): The long form version of the short-form source name
- `metadata/*`: Potentially additional metadata
<!-- END-SAMPLE -->
### Dataset Statistics
<!-- START-DATASET PLOTS -->
<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
<img>
<!-- END-DATASET PLOTS -->
## 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}
}
```
|