metadata

license: other
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*/*.parquet
  - config_name: retsinformationdk
    data_files:
      - split: train
        path: data/retsinformationdk/*.parquet
  - config_name: ep
    data_files:
      - split: train
        path: data/ep/*.parquet
  - config_name: ft
    data_files:
      - split: train
        path: data/ft/*.parquet
  - config_name: wikisource
    data_files:
      - split: train
        path: data/wikisource/*.parquet
  - config_name: spont
    data_files:
      - split: train
        path: data/spont/*.parquet
  - config_name: tv2r
    data_files:
      - split: train
        path: data/tv2r/*.parquet
  - config_name: adl
    data_files:
      - split: train
        path: data/adl/*.parquet
  - config_name: hest
    data_files:
      - split: train
        path: data/hest/*.parquet
  - config_name: skat
    data_files:
      - split: train
        path: data/skat/*.parquet
  - config_name: dannet
    data_files:
      - split: train
        path: data/dannet/*.parquet
  - config_name: retspraksis
    data_files:
      - split: train
        path: data/retspraksis/*.parquet
  - config_name: wikibooks
    data_files:
      - split: train
        path: data/wikibooks/*.parquet
  - config_name: jvj
    data_files:
      - split: train
        path: data/jvj/*.parquet
  - config_name: gutenberg
    data_files:
      - split: train
        path: data/gutenberg/*.parquet
  - config_name: botxt
    data_files:
      - split: train
        path: data/botxt/*.parquet
  - config_name: depbank
    data_files:
      - split: train
        path: data/depbank/*.parquet
  - config_name: naat
    data_files:
      - split: train
        path: data/naat/*.parquet
  - config_name: synne
    data_files:
      - split: train
        path: data/synne/*.parquet
  - config_name: wiki
    data_files:
      - split: train
        path: data/wiki/*.parquet
  - config_name: relig
    data_files:
      - split: train
        path: data/relig/*.parquet
annotations_creators:
  - no-annotation
language_creators:
  - crowdsourced
language:
  - da
multilinguality:
  - monolingual
source_datasets:
  - original
task_categories:
  - text-generation
task_ids:
  - language-modeling
pretty_name: Danish Gigaword
language_bcp47:
  - da
  - da-bornholm
  - da-synnejyl

Danish Gigaword 2

Version: 2.0.0

License: See the respective dataset

Danish Gigaword 2

Dataset Description

This is iteration on the Danish Gigaword corpus. It is intended to be continually updated with new data sources.

Dataset Summary

The Danish Gigaword Corpus contains text spanning several domains and forms.

Loading the dataset

from datasets import load_dataset

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

# or load by streaming the data
ds = load_dataset(name, split = "train", streaming=True)
sample = next(iter(ds))

Dataset Structure

The dataset contains text from different sources which are thoroughly defined in Source Data. See the homepage or paper for more information.

Data Instances

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

{
    "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL...",
    "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

Source Data

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

Source	License
adl	Creative Commons Legal Code 1.0 Universal
botxt	Creative Commons Legal Code 1.0 Universal
dannet	dannet license
depbank	Attribution-ShareAlike 4.0 International
ep	Creative Commons Legal Code 1.0 Universal
ft	Creative Commons Legal Code 1.0 Universal
gutenberg	gutenberg license
hest	Creative Commons Legal Code 1.0 Universal
jvj	Attribution-ShareAlike 4.0 International
naat	Creative Commons Legal Code 1.0 Universal
relig	Creative Commons Legal Code 1.0 Universal
retsinformationdk	Other (Danish Law)
retspraksis	Creative Commons Legal Code 1.0 Universal
skat	Creative Commons Legal Code 1.0 Universal
spont	Creative Commons Legal Code 1.0 Universal
synne	Creative Commons Legal Code 1.0 Universal
tv2r	Custom, Creative Commons Attribution 4.0 International
wiki	Creative Commons Legal Code 1.0 Universal
wikibooks	Creative Commons Legal Code 1.0 Universal
wikisource	Creative Commons Legal Code 1.0 Universal

Additional Information

Contributing 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

The original version of Danish Gigawords was created as a part of the following publication.

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}
}

Datasets:

danish-foundation-models
/

danish-dynaword