Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
100K - 1M
License:
| 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 | |
| ## Table of Contents | |
| - [Danish Gigaword 2](#danish-gigaword-2) | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Loading the dataset](#loading-the-dataset) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Source Data](#source-data) | |
| - [Additional Information](#additional-information) | |
| - [Contributing the dataset](#contributing-the-dataset) | |
| - [Citation Information](#citation-information) | |
| ## Dataset Description | |
| This is intended as a second version of the Danish Gigaword corpus. It is intended to be continually updated with new data sources. This is currently a work in progress. | |
| ### Dataset Summary | |
| The Danish Gigaword Corpus contains text spanning several domains and forms. | |
| ### Loading the dataset | |
| ```py | |
| 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](#source-data). See the [homepage](https://gigaword.dk) or [paper](https://aclanthology.org/2021.nodalida-main.46.pdf) for more information. | |
| ### Data Instances | |
| Each entry in the dataset consists of a single text with associated metadata | |
| ```py | |
| { | |
| 'text': 'Vimoutiers er en kommune i departementet Orne i Basse-Normandie regionen i det nordvestlige Frankrig.\nCykelløbet Paris-Camembert slutter i Vimoutiers.\nHistorie.\nDen 14. juni 1944, under invasionen i Normandiet blev Vimoutiers bombarderet af allierede styrker. Landsbyen blev ødelagt og 220 civile dræbt.\nPersonligheder.\nPolitikeren Joseph Laniel (1889-1975) var født i Vomoutiers.', | |
| 'source': 'wiki', | |
| 'id': 'wiki_366127', | |
| 'added': '2021-03-28', | |
| 'created': '2019-01-01, 2021-01-01', | |
| 'metadata': | |
| {'domain': 'Wiki & Books', | |
| 'license': 'Creative Commons Legal Code\n\nCC0 1.0 Universal', 'source-pretty': 'Wikipedia' | |
| } | |
| } | |
| ``` | |
| ### 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. | |
| - `metadata/license` (`str`): The license of the document. The licenses vary according to the source. | |
| - `metadata/domain` (`str`): The domain of the source | |
| - `metadata/source-pretty` (`str`): The long form version of the short-form source name | |
| ### 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](https://cst.ku.dk/projekter/dannet/license.txt) | | |
| | 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](https://www.gutenberg.org/policy/license.html) | | |
| | 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 | Danish Copyright law at https://www.retsinformation.dk/forms/r0710.aspx?id=164796 states "§ 9. Love, administrative forskrifter, retsafgørelser og lignende offentlige aktstykker er ikke genstand for ophavsret. Stk. 2. Bestemmelsen i stk. 1 gælder ikke for værker, der fremtræder som selvstændige bidrag i de i stk. 1 nævnte aktstykker. Sådanne værker må dog gengives i forbindelse med aktstykket. Retten til videre udnyttelse afhænger af de i øvrigt gældende regler." | | |
| | 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 | The owner of this content is TV2 Regionerne, Denmark. 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 | | |
| These sources corresponds to the following top-level domains in the dataset: | |
| ```python | |
| # mapping from domain to top-level domain | |
| domain_mapping_dict = { | |
| "retsinformationdk": "Legal", | |
| "skat": "Legal", | |
| "retspraksis": "Legal", | |
| "hest": "Social Media", | |
| "cc": "Web", | |
| "adl": "Wiki & Books", | |
| "botxt": "Other", | |
| "danavis": "News", | |
| "dannet": "dannet", | |
| "depbank": "Other", | |
| "ep": "Conversation", | |
| "ft": "Conversation", | |
| "gutenberg": "Wiki & Books", | |
| "jvj": "Wiki & Books", | |
| "naat": "Conversation", | |
| "opensub": "Conversation", | |
| "relig": "Wiki & Books", | |
| "spont": "Conversation", | |
| "synne": "Other", | |
| "tv2r": "News", | |
| "wiki": "Wiki & Books", | |
| "wikibooks": "Wiki & Books", | |
| "wikisource": "Wiki & Books", | |
| "twfv19": "Social Media", # not present in this version of the dataset | |
| } | |
| ``` | |
| And the following mapping translates between the short form and the long form of the source name | |
| ```python | |
| # mapping from domain to its long name format | |
| longname_mapping_dict = { | |
| "retsinformationdk": "retsinformation.dk (Danish legal information)", | |
| "skat": "Skat (Danish tax authority)", | |
| "retspraksis": "retspraksis (Danish legal information)", | |
| "hest": "Hestenettet (Danish debate forum)", | |
| "cc": "Common Crawl", | |
| "adl": " Archive for Danish Literature", | |
| "botxt": "Bornholmsk (Danish dialect)", | |
| "danavis": "Danish daily newspapers", | |
| "dannet": "DanNet (Danish WordNet)", | |
| "depbank": "Danish Dependency Treebank", | |
| "ep": "European Parliament", | |
| "ft": "Folketinget (Danish Parliament)", | |
| "gutenberg": "Gutenberg", | |
| "jvj": "Johannes V. Jensen (Danish author/poet)", | |
| "naat": "NAAT", | |
| "opensub": "Open Subtitles", | |
| "relig": "Religious texts", | |
| "spont": "Spontaneous speech", | |
| "synne": "Synderjysk (Danish dialect)", | |
| "tv2r": "TV 2 Radio (Danish news)", | |
| "wiki": "Wikipedia", | |
| "wikibooks": "Wikibooks", | |
| "wikisource": "Wikisource", | |
| "twfv19": "Twitter Folketingsvalget 2019 (Danish election tweets)", # not present in this version of the dataset | |
| } | |
| ``` | |
| ## 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](CONTRIBUTING.md) | |
| ### 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} | |
| } | |
| ``` | |
| <!-- | |
| Todo: | |
| add tests | |
| - unique ids | |
| - valid metadata | |
| add ci: | |
| - summary statistics | |
| - tables | |
| prettify: | |
| - license as independent column | |
| - ensure pretty_name is standard | |
| - potentially remove some columns | |
| --> |