Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
10M - 100M
ArXiv:
DOI:
License:
metadata
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
domains:
- Other
Dataset Card for synnejysk Forening
Dataset collected from synnejysk forening's website, covering the Danish dialect sønderjysk.
Dataset Description
- Number of samples: 177
- Number of tokens (Llama 3): 52.02K
- Average document length in tokens (min, max): 293.8813559322034 (128, 891)
Dataset Structure
An example from the dataset looks as follows.
{
"id": "synne_forening_0140",
"text": "Mangeægskage Hent printvenligt dokument her – Klik her Som medlem af Æ Synnejysk Forening er du med [...]",
"source": "synne",
"added": "2020-06-26",
"created": "2000-01-01, 2022-01-01",
"token_count": 144
}
Data Fields
An entry in the dataset consists of the following fields:
id
(str
): An unique identifier for each document.text
(str
): The content of the document.source
(str
): The source of the document (see Source Data).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.token_count
(int
): The number of tokens in the sample computed using the Llama 8B tokenizer
Dataset Statistics
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}
}