Update documentation for all DAGW datasets (#20)

- fix: Added information on all subsets (c9d38ae1175f15b964f35c23feb1c985b58604f6)

README.md

@@ -250,30 +250,55 @@ This data generally contains no annotation besides the metadata attached to each
 
 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                |
-
-[Custom, Creative Commons Attribution 4.0 International]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/tv2r/tv2r.md#license-information
+| Source              | License              |
+| ------------------- | -------------------- |
+| [adl]               | [CC-0]               |
+| [botxt]             | [CC-0]               |
+| [dannet]            | [dannet license]     |
+| [depbank]           | [CC-BY-SA 4.0]       |
+| [ep]                | [CC-0]               |
+| [ft]                | [CC-0]               |
+| [gutenberg]         | [gutenberg license]  |
+| [hest]              | [CC-0]               |
+| [jvj]               | [CC-BY-SA 4.0]       |
+| [naat]              | [CC-0]               |
+| [nordjyllandnews]              | [CC-0]               |
+| [relig]             | [CC-0]               |
+| [retsinformationdk] | [Other (Danish Law)] |
+| [retspraksis]       | [CC-0]               |
+| [skat]              | [CC-0]               |
+| [spont]             | [CC-0]               |
+| [synne]             | [CC-0]               |
+| [tv2r]              | [Custom, CC-BY 4.0]  |
+| [wiki]              | [CC-0]               |
+| [wikibooks]         | [CC-0]               |
+| [wikisource]        | [CC-0]               |
+
+[adl]: data/adl/adl.md
+[botxt]: data/botxt/botxt.md
+[dannet]: data/dannet/dannet.md            
+[depbank]: data/depbank/depbank.md
+[ep]: data/ep/ep.md
+[ft]: data/ft/ft.md
+[gutenberg]: data/gutenberg/gutenberg.md         
+[hest]: data/hest/hest.md
+[jvj]: data/jvj/jvj.md               
+[naat]: data/naat/naat.md
+[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
+[relig]: data/relig/relig.md
+[retsinformationdk]: data/retsinformationdk/retsinformationdk.md 
+[retspraksis]: data/retspraksis/retspraksis.md
+[skat]: data/skat/skat.md
+[spont]: data/spont/spont.md
+[synne]: data/synne/synne.md
+[tv2r]: data/tv2r/tv2r.md              
+[wiki]: data/wiki/wiki.md
+[wikibooks]: data/wikibooks/wikibooks.md
+[wikisource]: data/wikisource/wikisource.md
+
+[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en
+[CC-BY-SA 4.0]: https://creativecommons.org/licenses/by-sa/4.0/deed.en
+[Custom, CC-BY 4.0]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/tv2r/tv2r.md#license-information
 [gutenberg license]: https://www.gutenberg.org/policy/license.html  
 [dannet license]: https://cst.ku.dk/projekter/dannet/license.txt
 [Other (Danish Law)]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/retsinformationdk/retsinformationdk.md#license-information

data/adl/adl.md

@@ -12,9 +12,13 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for  Archive for Danish Literature
+# Dataset Card for Archive for Danish Literature
+
 ## Dataset Description
 
+Danish literature from 1700-2023 stemming for the Archive for Danish Literature (ADL).
+
+
 <!-- START-DESC-STATS -->
 
 - **Language**: dan, dansk, Danish
@@ -63,3 +67,24 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/botxt/botxt.md

@@ -12,9 +12,14 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for Bornholmsk (Danish dialect)
+# Dataset Card for Bornholmsk 
+
 ## Dataset Description
 
+The Bornholmsk Ordbog Dictionary Project
+
+Fictional texts of various kinds written in Bornholmsk, the dialect spoken on the Danish island of Bornholm (The language code for Bornholmsk under IETF BCP-47 is da-bornholm), have been digitized (OCR’ed and proofread) by volunteers working within the recently resumed Bornholmsk Ordbog dictionary project (Kjeldsen, 2019). Most of the material included is written by Otto J. Lund in the period 1930-48 (novels, short stories, and poems). The Bornholmsk subcorpus, which in its present state amounts to circa 400 K words, also includes folk stories published by J. P. Kuhre in 1938, and by K. M. Kofoed in 1935, fictional letters by various authors published in the 1930s, as well as poems by Alfred Jensen published in 1948 and various other texts from the same period. The non-standardized orthography varies considerably from source to source. The Bornholmsk part of the Danish Gigaword is a significantly extended dataset, well beyond that studied in earlier NLP work on the dialect [(Derczynski and Kjeldsen, 2019)](https://aclanthology.org/W19-6138/).
+
 <!-- START-DESC-STATS -->
 
 - **Language**: dan, dansk, Danish
@@ -63,3 +68,22 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/dannet/dannet.md

@@ -1,5 +1,5 @@
 ---
-pretty_name: DanNet (Danish WordNet)
+pretty_name: DanNet
 language:
   - da
 license: DanNet 1.0 License
@@ -12,7 +12,13 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for DanNet (Danish WordNet)
+# Dataset Card for DanNet 
+
+[DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet.
+
+A WordNet is a lexico-semantic network which show the meaning and the relation between words through named connections. It can be considered a machine-readable dictionary.
+
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -35,45 +41,7 @@ An example from the dataset looks as follows.
     'created': '2000-01-01, 2022-01-01',
     'metadata': {
         'domain': 'dannet',
-        'license': 'Commercial Use of DanNet
-
-DanNet may be used in commercial applications in accordance with the following
-license agreement. An attorney representing the commercial interest should
-review this DanNet license with respect to the intended use.
-
-DanNet 1.0 License
-
-DanNet Release 2.1
-
-This software and database is being provided to you, the LICENSEE, by University
-of Copenhagen and Society for Danish Language and Literature under the following
-license. By obtaining, using and/or copying this software and database, you
-agree that you have read, understood, and will comply with these terms and
-conditions.
-
-Permission to use, copy, modify and distribute this software and database and
-its documentation for any purpose and without fee or royalty is hereby granted,
-provided that you agree to comply with the following copyright notice and
-statements, including the disclaimer, and that the same appear on ALL copies of
-the software, database and documentation, including modifications that you make
-for internal use or for distribution.
-
-THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND UNIVERSITY OF COPENHAGEN and
-SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO REPRESENTATIONS OR
-WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION,
-UNIVERSITY OF COPENHAGEN AND SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO
-REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR
-PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL
-NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS.
-
-The names of University of Copenhagen and Society for Danish Language and
-Literature may not be used in advertising or publicity pertaining to
-distribution of the software and/or database. Title to copyright in this
-software, database and any associated documentation shall at all times remain
-with University of Copenhagen and Society for Danish Language and Literature and
-LICENSEE agrees to preserve same.
-
-DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish',
+        'license': 'Commercial Use of DanNet [...]',
         'source-pretty': 'DanNet (Danish WordNet)'
         }
 }
@@ -133,3 +101,23 @@ LICENSEE agrees to preserve same.
 DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/depbank/depbank.md

@@ -13,6 +13,13 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for Danish Dependency Treebank
+
+The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT).
+
+The Danish UD treebank has been converted from the Danish Dependency Treebank (Buch-Kromman, 2003) into Universal Dependencies (UD). It consists of 5,512 sentences (100k words). The Danish source texts and the Danish part-of-speech tags were created by the PAROLE-DK project (Keson 1998) by the Danish Society for Language and Literature.
+
+While the dataset was initially intended as a rich annotation, this corpora only uses the raw text.
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -57,3 +64,23 @@ An example from the dataset looks as follows.
 Attribution-ShareAlike 4.0 International
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/ep/ep.md

@@ -13,6 +13,12 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for European Parliament
+
+The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/).
+
+The europarl is a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on the web. This corpus has found widespread use in the NLP community. It was initially intended as training data for statistical machine translation.
+
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -61,3 +67,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/ft/ft.md

@@ -13,8 +13,15 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for Folketinget (Danish Parliament)
+
 ## Dataset Description
 
+This dataset consists of records from all meetings of The Danish parliament (Folketinget) in the parliament hall. 
+
+All records have a transcript produced by commercial Automatic Speech Recognition (ASR) followed by postediting by linguists employed by Folketinget for intelligibility, i.e., edit out dysfluencies, restarts, repairs, and mistakes. The transcript is, therefore, not a representation of spoken Danish but rather information content.
+
+In the parliament hall, one speaker at a time addresses members of the parliament. Monologues may include rebuttals or other comments to statements in previous monologues. While speakers can read aloud from a prepared statement or speak extemporaneously, we expect no difference to be apparent in the data because of the post-editing. The Folketinget section covers parliament hall sessions between 2009 and 2019. It contains discussions on a wide range of topics, issues, and named entities relevant to Danish society.
+
 <!-- START-DESC-STATS -->
 
 - **Language**: dan, dansk, Danish
@@ -61,3 +68,22 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/gutenberg/gutenberg.md

@@ -13,8 +13,13 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for Gutenberg
+
 ## Dataset Description
 
+This dataset contains the Danish subsection from Project [Gutenberg](https://www.gutenberg.org). 
+
+Project Gutenberg is an online library of free eBooks. Project Gutenberg was the first provider of free electronic books, or eBooks.
+
 <!-- START-DESC-STATS -->
 
 - **Language**: dan, dansk, Danish
@@ -28,338 +33,14 @@ task_ids:
 An example from the dataset looks as follows.
 ```yaml
 {
-    'text': 'Afskriverens bemærkninger: Åbenlyse trykfejl er re',
+    'text': 'Afskriverens bemærkninger: Åbenlyse trykfejl er re [...]',
     'source': 'gutenberg',
     'id': 'gutenberg_43899',
     'added': '2020-09-12',
     'created': '1700-01-01, 2022-01-01',
     'metadata': {
         'domain': 'Wiki & Books',
-        'license': '*** START: FULL LICENSE ***
-
-THE FULL PROJECT GUTENBERG LICENSE
-PLEASE READ THIS BEFORE YOU DISTRIBUTE OR USE THIS WORK
-
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-',
+        'license': ' [...] THE FULL PROJECT GUTENBERG LICENSE [...]',
         'source-pretty': 'Gutenberg'
         }
 }
@@ -705,3 +386,44 @@ subscribe to our email newsletter to hear about new eBooks.
 
 </p>
 </details>
+
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/hest/hest.md

@@ -12,7 +12,14 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for Hestenettet (Danish debate forum)
+# Dataset Card for Hestenettet
+
+Extracts from www.heste-nettet.dk a Danish debate forum.
+
+The forum have been in use since 1997 and it is used as a debate forum covering a wide range of everyday topics. 
+
+Its inclusion as training data for large language models have multiple times reached [national news](https://www.dr.dk/nyheder/viden/teknologi/heste-nettet-kan-blive-grundlag-kunstig-intelligens-paa-dansk).
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -62,3 +69,24 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/jvj/jvj.md

@@ -1,5 +1,5 @@
 ---
-pretty_name: Johannes V. Jensen (Danish poet)
+pretty_name: Johannes V. Jensen
 language:
   - da
 license: cc-by-sa-4.0
@@ -12,7 +12,14 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for Johannes V. Jensen (Danish poet)
+# Dataset Card for Johannes V. Jensen
+
+The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen).
+
+
+
+
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -57,3 +64,23 @@ An example from the dataset looks as follows.
 Attribution-ShareAlike 4.0 International
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/naat/naat.md

@@ -13,6 +13,9 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for NAAT
+
+A dataset of Danish speeches from 1930-2022.
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->

data/nordjyllandnews/nordjyllandnews.md

@@ -15,7 +15,9 @@ task_ids:
 
 # Dataset Card for Nordjylland News
 
-source: https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization
+Articles from Danish Newspaper [TV2 Nord](https://www.tv2nord.dk).
+
+The data is derived from the Huggingface dataset [alexandrainst/nordjylland-news-summarization](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization) originally intended for text summarization.
 
 ## Dataset Description
 
@@ -27,6 +29,8 @@ source: https://huggingface.co/datasets/alexandrainst/nordjylland-news-summariza
 
 <!-- END-DESC-STATS -->
 
+## Additional Information
+
 
 ## Opportunities for Improvement
 
@@ -34,3 +38,7 @@ An updated version of the this data could be fetched from their [API](https://de
 
 # Sourced data
 This dataset is derived from [`alexandrainst/nordjylland-news-summarization`](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization)
+
+### Citation Information
+
+No citation is applicable for this work. We recommend citing the huggingface repository.

data/relig/relig.md

@@ -14,6 +14,8 @@ task_ids:
 ---
 # Dataset Card for Religious texts
 
+Danish religious text from the 1700-2022.
+
 ## Dataset Description
 
  <!-- START-DESC-STATS -->
@@ -63,3 +65,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/retsinformationdk/retsinformationdk.md

@@ -13,6 +13,18 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for retsinformation.dk (Danish legal information)
+
+[retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) is the official legal information system of Denmark. 
+
+It serves as a central repository for Danish legislation, administrative regulations, and other legally binding documents. The platform ensures transparency and public access to laws and legal materials. The sites includes:
+
+1.	**Legislation**: Danish laws, acts, and statutes passed by the Parliament (Folketinget).
+2.	**Administrative Regulations**: Rules, guidelines, and executive orders issued by governmental authorities.
+3.	**Historical Versions**: Archived versions of laws and regulations, useful for legal research or historical reference.
+4.  **Preparatory Works** (Forarbejder): Documents explaining the background and intent behind legislative acts, such as proposals and committee reports.
+5.	**Case Law References**: Links to decisions and interpretations that relate to specific legislation.
+
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -66,3 +78,23 @@ Stk. 2. Bestemmelsen i stk. 1 gælder ikke for værker, der fremtræder som selv
 
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/retspraksis/retspraksis.md

@@ -12,7 +12,13 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for retspraksis (Danish legal information)
+# Dataset Card for retspraksis 
+
+[Retspraksis](https://da.wikipedia.org/wiki/Retspraksis) refers to case law or judicial practice in Denmark.
+
+It encompasses the body of legal decisions made by Danish courts, which play a significant role in interpreting and applying the law.
+
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -62,3 +68,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/skat/skat.md

@@ -1,5 +1,5 @@
 ---
-pretty_name: Skat (Danish tax authority)
+pretty_name: skat.dk
 language:
   - da
 license: cc0-1.0
@@ -12,7 +12,10 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for Skat (Danish tax authority)
+# Dataset Card for skat.dk 
+
+Skat is the Danish tax authority. This dataset contains content from its website skat.dk.
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -61,3 +64,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/spont/spont.md

@@ -13,6 +13,11 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for Spontaneous speech
+
+A corpora of conversational data originally collected as a part of research projects at Aarhus University.
+
+The conversational corpus included originates from interdisciplinary research conducted within the [Interacting Minds Centre](https://interactingminds.au.dk), and [the Puzzle of Danish project](https://projects.au.dk/the-puzzle-of-danish/) at Aarhus University. Transcribed Danish speech is generally a rare kind of data, and spontaneous speech especially so; these manually transcribed conversations thus form a valuable resource. Spontaneous and pseudo-spontaneous conversations come from various contexts, e.g., getting to know each other, solving a puzzle together, or making joint decisions. The participants have agreed on releasing anonymized transcripts of their conversations. All conversations involve two speakers, sometimes conversing face-to-face, sometimes via a chat tool. Speech is transcribed post-hoc by native speakers. Studies published relying on this data include [Fusaroli et al. (2012)](https://journals.sagepub.com/doi/10.1177/0956797612436816), [Dideriksen et al. (2019)](https://pure.au.dk/ws/portalfiles/portal/167670567/Dideriksen_et_al..pdf), and [Tylén et al. (2016)](https://pure.au.dk/ws/portalfiles/portal/101787937/The_Social_Route_To_Abstraction.pdf).
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -64,3 +69,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/synne/synne.md

@@ -1,5 +1,5 @@
 ---
-pretty_name: Synderjysk (Danish dialect)
+pretty_name: Synnejysk Forening
 language:
   - da
 license: cc0-1.0
@@ -12,7 +12,10 @@ task_categories:
 task_ids:
   - language-modeling
 ---
-# Dataset Card for Synderjysk (Danish dialect)
+# Dataset Card for synnejysk Forening 
+
+Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk.
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -61,3 +64,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/tv2r/tv2r.md

@@ -13,8 +13,13 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for TV 2 Radio (Danish news)
+
 ## Dataset Description
 
+This dataset includes contemporary Danish newswire articles published between 2010 and 2019. 
+
+It contains articles of regional interest, written following editorial standards. This section’s value is in both its temporal variation, covering a decade of events, and its spatial variation, covering many local events across most of Denmark (TV2 Bornholm is excluded). As a result of local event coverage, the section contains many locally relevant named entities, which might otherwise not be present in a dataset of national news.
+
 <!-- START-DESC-STATS -->
 
 - **Language**: dan, dansk, Danish
@@ -61,3 +66,23 @@ The owner of this content is TV2 Regionerne, Denmark.
 Creative Commons Attribution 4.0 International
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/wiki/wiki.md

@@ -13,6 +13,11 @@ task_ids:
   - language-modeling
 ---
 # Dataset Card for Wikipedia
+
+The Danish subsection of [wikipeadia](https://en.wikipedia.org/wiki/Main_Page).
+
+You can read more about wikipeadia on their [about](https://en.wikipedia.org/wiki/Wikipedia:About) page.
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -61,3 +66,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/wikibooks/wikibooks.md

@@ -12,7 +12,11 @@ task_categories:
 task_ids:
   - language-modeling
 ---
+
 # Dataset Card for Wikibooks
+
+The Danish Subsection of [**Wikibooks**](https://www.wikibooks.org).
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -62,3 +66,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

data/wikisource/wikisource.md

@@ -14,6 +14,8 @@ task_ids:
 ---
 # Dataset Card for Wikisource
 
+The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page).
+
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
@@ -65,3 +67,23 @@ Creative Commons Legal Code
 CC0 1.0 Universal
 </p>
 </details>
+
+
+## Additional Information
+
+
+### Citation Information
+
+This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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).
+
+```bash
+@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}
+}
+```

paper/paper.md

@@ -25,6 +25,8 @@ DFM
 - Peter
 
 Danish Royal Library? Other organization that are important to include?
+Leon?
+
 
 # Abstract