danish-foundation-models/danish-dynaword

🧨 Danish Dynaword

Language	dan, dansk, Danish
License	Permissible, See the respective dataset
Models	For model trained used this data see danish-foundation-models
Contact	If you have question about this project please create an issue here

Dataset Description

• Language: dan, dansk, Danish
• Number of samples: 576.59K
• Number of tokens (Llama 3): 1.84B
• Average document length (characters): 9385.20

Dataset Summary

The Danish dynaword is a continually developed collection of Danish free-form text datasets from various domains. It is intended to be continually updated with new data sources. If you would like to contribute a dataset see the contribute section

Loading the dataset

from datasets import load_dataset

name = "danish-foundation-models/danish-dynaword"
ds = load_dataset(name, split = "train")
sample = ds[1] # see "Data Instances" below

or load it by streaming the data

ds = load_dataset(name, split = "train", streaming=True)
dataset_iter = iter(ds)
sample = next(iter(dataset_iter))

You can also load a single subset at a time:

ds = load_dataset(name, "adl", split = "train")

As Danish Dynaword is continually expanding and curated you can make sure that you get the same dataset every time by specifying the revision: You can also load a single subset at a time:

ds = load_dataset(name, revision="{desired revision}")

Languages:

This dataset includes the following languages:

• dan-Latn
• dan-Latn-bornholm
• dan-Latn-synnejyl

Language is denoted using BCP-47, using the langauge code ISO 639-3 and the script code ISO 15924. The last element denote the region variant.

Dataset Structure

The dataset contains text from different sources which are thoroughly defined in Source Data.

Data Instances

Each entry in the dataset consists of a single text with associated metadata

{
  "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]",
  "source": "adl",
  "id": "adl_aakjaer06val",
  "added": "2020-09-14",
  "created": "1700-01-01, 2022-01-01",
  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
  "domain": "Wiki & Books",
  "metadata": {
    "source-pretty": "Archive for Danish Literature"
  }
}

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 source
• metadata/source-pretty (str): The long form version of the short-form source name
• metadata/*: Potentially additional metadata

Data Splits

The entire corpus is provided in the train split.

Dataset Creation

Curation Rationale

These datasets were collected and curated with the intention of making large quantities of Danish text data available. While this was collected with the intention of developing language models it is likely to have multiple other uses such as examining language development and differences across domains.

Annotations

This data generally contains no annotation besides the metadata attached to each sample such as what domain it belongs to.

Source Data

Below follows a brief overview of the sources in the corpus along with their individual license.

Source	Description	N. Tokens	License
retsinformationdk	retsinformation.dk (legal-information.dk) the official legal information system of Denmark	516.54M	Danish Copyright Law
hest	Samples from the Danish debate forum www.heste-nettet.dk	389.33M	CC-0
spont	Conversational samples collected as a part of research projects at Aarhus University	1.56M	CC-0
tv2r	Contemporary Danish newswire articles published between 2010 and 2019	21.67M	CC-BY-SA 4.0
opensubtitles	Danish subsection of OpenSubtitles	271.89M	CC-0
ep	The Danish subsection of Europarl	100.89M	CC-0
gutenberg	The Danish subsection from Project Gutenberg	6.76M	Gutenberg License
depbank	The Danish subsection of the Universal Dependencies Treebank	185.45K	CC-BY-SA 4.0
jvj	The works of the Danish author and poet, Johannes V. Jensen	3.55M	CC-BY-SA 4.0
wikisource	The Danish subsection of Wikisource	5.34M	CC-0
wiki	The Danish subsection of wikipeadia	122.00M	CC-0
wikibooks	The Danish Subsection of Wikibooks	6.24M	CC-0
nordjyllandnews	Articles from the Danish Newspaper TV2 Nord	37.91M	CC-0
adl	Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)	58.49M	CC-0
retspraksis	Case law or judical practice in Denmark derived from Retspraksis	57.08M	CC-0
relig	Danish religious text from the 1700-2022	1.24M	CC-0
dannet	DanNet is a Danish WordNet	1.52M	DanNet 1.0 License
synne	Dataset collected from synnejysk forening's website, covering the Danish dialect sønderjysk	52.51K	CC-0
naat	Danish speeches from 1930-2022	286.68K	CC-0
botxt	The Bornholmsk Ordbog Dictionary Projec	847.97K	CC-0
ft	Records from all meetings of The Danish parliament (Folketinget) in the parliament hall	114.09M	CC-0
skat	Skat is the Danish tax authority. This dataset contains content from its website skat.dk	122.12M	CC-0
Total		1.84B

You can learn more about each dataset by pressing

Additional Information

Contributing to the dataset

We welcome contributions to the dataset such as new sources, better data filtering and so on. To get started on contributing please see the contribution guidelines

Citation Information

This version expand upon existing dataset sources such as the Danish gigaword. We recommend that you cite the source of the dataset when using these datasets.

Disclaimer

We do not own any of the text from which the data has been extracted. We only offer files that we believe we are free to redistribute. If any doubt occurs about the legality of any of our file downloads we will take them off right away after contacting us.

Notice and take down policy

Notice: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please:

• Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted.
• Clearly identify the copyrighted work claimed to be infringed.
• Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate the material.

You can contact us through this channel.

Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.

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A Danish Foundation Models dataset