Datasets:
id
string | text
string | source
string | added
string | created
string | token_count
int64 |
---|---|---|---|---|---|
adl_aakjaer06val | "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 439,908 |
adl_ingemann10tom | "Erik Mentveds Barndom\n\nP. E. Langballe B.S. Ingemann Gyldendalske Boghandel 001916176:10\n\nIngem(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 77 |
adl_falster03 | "LÆRDOMS LYSTGAARD\n\nJØRGEN OLRIK CHRISTIAN FALSTERs GYLDENDALSKE BOGHANDEL - NORDISK FORLAG\n- K(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 147,011 |
adl_larsenk_17 | "KRIG KULTUR OG DANMARK\n\nKARL LARSEN GYLDENDALSKE BOGHANDEL - NORDISK FORLAG 001967748:17\n\nLarse(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 28,851 |
adl_drachmann12tom | "Samlede Poetiske Skrifter bind 12\n\nHolger Drachmann Gyldendalske Boghandel 001823907:12\n\nDrachm(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 477 |
adl_helg04tom | "Skrifter af Paulus Helie bind 4\n\nMarius Kristensen Poul Helgesen DSL og Gyldendalske Boghandel\n0(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 209 |
adl_bang02val | "Værker i Mindeudgave 2\n\nHerman Bang Gyldendal 001823910:02\n\nBang, Herman\n\nVærker i Mindeudg(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 333,786 |
adl_michs_02 | "VANEMENNESKER\n\nSOPHUS MICHAËLIS JAKOB H. MANSAS FORLAG 002150303:02\n\nMichaëlis, Sophus\n\nVan(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 126,670 |
adl_goldschmidt12tom | "Meïr Aron Goldschmidt Poetiske Skrifter VIII\n\nA. Goldschmidt Meïr Aron Goldschmidt Gyldendal 00(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 135 |
adl_larsenk_10 | "DANIEL — DANIELA\n\nKARL LARSEN M. P. MADSENS BOGHANDEL 000180121:10\n\nCopyright 1922 by Karl La(...TRUNCATED) | adl | 2020-09-14 | 1700-01-01, 2022-01-01 | 38,684 |
🧨 Danish Dynaword
Version | 1.1.0 (Changelog) |
Language | dan, dansk, Danish |
License | Openly Licensed, 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: 891.08K
- Number of tokens (Llama 3): 4.26B
- Average document length (characters): 14755.73
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
{
"id": "adl_aakjaer06val",
"text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]",
"source": "adl",
"added": "2020-09-14",
"created": "1700-01-01, 2022-01-01",
"token_count": 439908
}
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
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 openly license Danish 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 | Domain | N. Tokens | License |
---|---|---|---|---|
cellar | The official digital repository for European Union legal documents and open data | Legal | 1.15B | CC-BY-SA 4.0 |
ncc_books | Danish books extracted from the Norwegian Colossal Corpus derived from OCR | Books | 531.97M | CC-0 |
retsinformationdk | retsinformation.dk (legal-information.dk) the official legal information system of Denmark | Legal | 516.35M | Danish Copyright Law |
hest | Samples from the Danish debate forum www.heste-nettet.dk | Social Media | 389.32M | CC-0 |
ncc_parliament | Collections from the Norwegian parliament in Danish. Extracted from the Norwegian Colossal Corpus derived from ocr | Other | 338.87M | NLOD 2.0 |
opensubtitles | Danish subsection of OpenSubtitles | Conversation | 271.60M | CC-0 |
ai-aktindsigt | Multiple web scrapes from municipality websites collected as a part of the AI-aktindsigt project | Web | 139.23M | Apache 2.0 |
miljoeportalen | Data from Danmarks Miljøportalen (Denmark's Environment Portal) | Web | 127.38M | CC-0 |
skat | Skat is the Danish tax authority. This dataset contains content from its website skat.dk | Legal | 122.11M | CC-0 |
wiki | The Danish subsection of wikipedia | Encyclopedic | 122.00M | CC-0 |
ft | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall | Conversation | 114.09M | CC-0 |
ep | The Danish subsection of Europarl | Conversation | 100.84M | CC-0 |
adl | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL) | Books | 58.49M | CC-0 |
retspraksis | Case law or judical practice in Denmark derived from Retspraksis | Legal | 56.26M | CC-0 |
fm-udgivelser | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents | Legal | 50.34M | CC-BY-SA 4.0 |
nordjyllandnews | Articles from the Danish Newspaper TV2 Nord | News | 37.90M | CC-0 |
eur-lex-sum-da | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries | Legal | 31.37M | CC-BY-SA 4.0 |
ncc_maalfrid | Danish content from Norwegian institutions websites | Web | 29.26M | NLOD 2.0 |
tv2r | Contemporary Danish newswire articles published between 2010 and 2019 | News | 21.67M | CC-BY-SA 4.0 |
memo | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough | Books | 9.28M | CC-BY-SA 4.0 |
danske-taler | Danish Speeches from dansketaler.dk | Conversation | 8.23M | CC-0 |
nota | The text only part of the Nota lyd- og tekstdata dataset | Readaloud | 7.30M | CC-0 |
gutenberg | The Danish subsection from Project Gutenberg | Books | 6.76M | Gutenberg |
wikibooks | The Danish Subsection of Wikibooks | Books | 6.24M | CC-0 |
wikisource | The Danish subsection of Wikisource | Encyclopedic | 5.34M | CC-0 |
jvj | The works of the Danish author and poet, Johannes V. Jensen | Books | 3.55M | CC-BY-SA 4.0 |
spont | Conversational samples collected as a part of research projects at Aarhus University | Conversation | 1.56M | CC-0 |
dannet | DanNet is a Danish WordNet | Other | 1.48M | DanNet 1.0 |
relig | Danish religious text from the 1700-2022 | Books | 1.24M | CC-0 |
ncc_newspaper | OCR'd Newspapers derived from NCC | News | 1.05M | CC-0 |
botxt | The Bornholmsk Ordbog Dictionary Project | Dialect | 847.97K | CC-0 |
naat | Danish speeches from 1930-2022 | Conversation | 286.68K | CC-0 |
depbank | The Danish subsection of the Universal Dependencies Treebank | Other | 185.45K | CC-BY-SA 4.0 |
synne | Dataset collected from synnejysk forening's website, covering the Danish dialect sønderjysk | Other | 52.02K | CC-0 |
Total | 4.26B |
You can learn more about each dataset by pressing the link in the first column.
Data Collection and Processing
The data collection and processing varies depending on the dataset and is documentationed the individual datasheets, which is linked in the above table. If possible the collection is documented both in the datasheet and in the reproducible script (data/{dataset}/create.py
).
In addition to data specific processing we also run a series automated quality checks to ensure formatting (e.g. ensuring correctly formatted columns and unique IDs), quality checks (e.g. duplicate and empty string detection) and datasheet documentation checks. These checks are there to ensure a high quality of documentation and a minimal level of quality. To allow for the development of novel cleaning methodologies we do not provide more extensive cleaning.
Dataset Statistics
The following plot show the domains distribution of the following within the dynaword:
Per dataset histograms
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
We are currently working on a paper on Danish Dynaword, however if you do you Danish Dynaword we recommend citiing the following:
Enevoldsen, K., Jensen, K. N., Kostkan, J., Szabó, B., Vahlstrup, P., Dalum, P. M., Elliot, D., & Nielbo, K. (2023). Dynaword: From One-shot to Continuously Developed Datasets. Hugging Face. https://huggingface.co/datasets/danish-foundation-models/danish-dynaword
@misc{enevoldsen2023dynaword,
title = {Dynaword: From One-shot to Continuously Developed Datasets},
author = {Enevoldsen, Kenneth and Jensen, Kristian N{\o}rgaaard and Kostkan, Jan and Szab\'{o}, Bal\'{a}zs and Vahlstrup, Peter and Dalum, Per M{\o}ldrup and Elliot, Desmond and Nielbo, Kristoffer},
year = {2023},
howpublished = {Hugging Face Dataset},
url = {https://huggingface.co/datasets/danish-foundation-models/danish-dynaword}
}
In addition we recommend that you cite the relevant source datasets as well. See the individual datasheets for more information.
License information
The license for each constituent dataset is supplied in the Source data table. This license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under CC-0.
Personal and Sensitive Information
As far as we are aware the dataset does not contain information identifying sexual orientation, political beliefs, religion, or health connected with utterer ID. In case that such information is present in the data we have been removed utterer information from social media content.
Notice and takedown policy
We redistribute files shared with us under a license permitting such redistribution. If you have concerns about the licensing of these files, please contact us. If you consider that the data contains material that infringe your copyright, please: - Clearly identify yourself with detailed contact information such as an address, a telephone number, or an email address at which you can be contacted. - Clearly reference the original work claimed to be infringed - Clearly identify the material claimed to be infringing and information reasonably sufficient to allow us to locate the material. You can contact us through this channel. We will comply with legitimate requests by removing the affected sources from the next release of the corpus
A Danish Foundation Models dataset
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