added

.gitignore

@@ -1,13 +1,3 @@
 # Python
 __pycache__/*
 *.pyc
-
-# cSpell
-cspell.json
-
-# debugfile
-.vscode/launch.json
-
-# tmp files
-tmp.py
-tmp.png

.vscode/settings.json

@@ -1,6 +1,6 @@
 {
     "python.testing.pytestArgs": [
-        "src/tests"
+        "."
     ],
     "python.testing.unittestEnabled": false,
     "python.testing.pytestEnabled": true

CONTRIBUTING.md

@@ -1,78 +0,0 @@
-## Working with dataset locally
-
-A huggingface datasets repository is a GitHub repository like any other. You can simply download it like so:
-
-```bash
-git clone https://huggingface.co/datasets/danish-foundation-models/danish-dynaword
-cd danish-dynaword
-```
-
-You can the work with the dataset locally like so:
-
-```py
-from datasets import load_dataset
-
-name = "../."  # instead of "danish-foundation-models/danish-dynaword"
-dataset = load_dataset("../.", split="train")
-# make transformations here
-```
-
-> Note: While it is local Huggingface still uses a cache, therefore you might need to reset it after changes have been made to see that it works correctly. You can do this by deleting the cached files which you can locate using `dataset.cache_files`.
-
-## Installing dependencies
-
-This repo comes with a few dependencies you need to install to make this run. It uses a [makefile](https://opensource.com/article/18/8/what-how-makefile) to run commands and a [uv](https://docs.astral.sh/uv/) for package management. Once you have uv installed you can install the dependencies using:
-
-```bash
-make install
-```
-
-## Running dataset tests
-
-This dataset is special as it comes with a test suite, e.g. testing in the ids are unique and that the format is consistent. You can run the suite using
-
-```bash
-make test
-```
-
-## Submitting a PR
-
-Creating a PR on Huggingface is a bit different from creating one on Github.
-
-1) Go to the community tab on huggingface press *new pull request* and choose *on your machine*. Specify the title of the your PR. Then you can simply:
-
-```bash
-git fetch origin refs/pr/{PR NUMBER}:pr/{PR NUMBER}
-git checkout pr/{PR NUMBER}
-# make your changes here 
-# push to hub
-git push origin pr/{PR NUMBER}:refs/pr/{PR NUMBER}
-```
-
-Before you make the PR do be sure to make sure that you have completed the following checklist. 
-
-### Checklist
-
-- [ ] I have run the test suite using `make test` and all tests pass
-- [ ] I have added/changed a dataset and have
-  - [ ] I have updated descriptive statistics using `make update-descriptive-statistics`
-  - [ ] I have bumped the version use `make bump-version`
-
-### Examples of Previous PRs
-To see example PR you can see the following:
-
-- [Restructuring columns in the dataset](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/11)
-- [Adding a new dataset](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/15)
-- Updated [dataset description and metadata](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/20)
-
-## Frequently asked questions
-
-### Do you accept synthetic dataets
-
-Yes we do generally accept synthetic datasets since it will likely be a promising research direction for low- to mid-resource languages.
-However, you should be aware that synthetic dataset will probably require a more detailed examination and description.
-We will for instance examine the quality of the synthetic subset and whether the model used for the creation permits resharing of the synthetic data under permissible licenses.
-
-### Do you accept non-Danish data
-
-Generally this repository is intended for Danish text, however quite broadly defined. For instance, we do accept data containing [code-switching](https://www.google.com/search?client=safari&rls=en&q=code+switching&ie=UTF-8&oe=UTF-8) and historical Danish text.

README.md

@@ -5,14 +5,6 @@ configs:
   data_files:
   - split: train
     path: 'data/*/*.parquet'
-- config_name: lexdk
-  data_files:
-  - split: train
-    path: data/lexdk/*.parquet
-- config_name: opensubtitles
-  data_files:
-  - split: train
-    path: data/opensubtitles/*.parquet
 - config_name: retsinformationdk
   data_files:
   - split: train
@@ -89,10 +81,6 @@ configs:
   data_files:
   - split: train
     path: data/wiki/*.parquet
-- config_name: nordjyllandnews
-  data_files:
-  - split: train
-    path: data/nordjyllandnews/*.parquet
 - config_name: relig
   data_files:
   - split: train
@@ -111,125 +99,75 @@ task_categories:
 - text-generation
 task_ids:
 - language-modeling
-pretty_name: Danish Dynaword
+pretty_name: Danish Gigaword
 language_bcp47:
 - da
 - da-bornholm
 - da-synnejyl
 ---
 
-<!-- 
-readme structure is inspired by:
-https://github.com/huggingface/datasets/blob/main/templates/README_guide.md 
--->
-
-
-# 🧨 Danish Dynaword
+# Danish Gigaword 2
 
-|              |                                                                                                                                                             |
-| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Language** | dan, dansk, Danish                                                                                                                                          |
-| **License**  | Permissible, See the respective dataset                                                                                                                     |
-| **Models**   | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models)                                            |
-| **Contact**  | If you have question about this project please create an issue [here](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions) |
+*Version*: 2.0.0
 
+*License*: See the respective dataset
 
 ## Table of Contents
-- [🧨 Danish Dynaword](#-danish-dynaword)
+- [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)
-    - [Languages:](#languages)
   - [Dataset Structure](#dataset-structure)
     - [Data Instances](#data-instances)
     - [Data Fields](#data-fields)
     - [Data Splits](#data-splits)
   - [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
-    - [Annotations](#annotations)
     - [Source Data](#source-data)
-    - [Dataset Statistics](#dataset-statistics)
   - [Additional Information](#additional-information)
-    - [Contributing to the dataset](#contributing-to-the-dataset)
     - [Citation Information](#citation-information)
-    - [Disclaimer](#disclaimer)
-    - [Notice and take down policy](#notice-and-take-down-policy)
 
 ## Dataset Description
 
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 588.48K
-- **Number of tokens (Llama 3)**: 1.84B
-- **Average document length (characters)**: 9222.58
-<!-- END-DESC-STATS -->
-
+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 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](#contributing-to-the-dataset) 
-
+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-dynaword"
+name = "danish-foundation-models/danish-gigaword"
 ds = load_dataset(name, split = "train")
 sample = ds[1] # see "Data Instances" below
-```
 
-or load it by streaming the data
-```py
+# or load 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:
-```py
-ds = load_dataset(name, "adl", split = "train")
+sample = next(iter(ds))
 ```
 
-
-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:
-```py
-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](https://en.wikipedia.org/wiki/IETF_language_tag), 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](#source-data).
+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
 
-<!-- START-SAMPLE -->
 ```py
 {
-  "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"
-  }
+  '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'
+    }
 }
 ```
 
@@ -239,14 +177,13 @@ 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.
+- `id` (`str`): An unique identifer 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
-<!-- END-SAMPLE -->
+- `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 longform version of the short-form source name
+
 
 ### Data Splits
 
@@ -254,129 +191,128 @@ 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.
 
-<!-- START-MAIN TABLE -->
-| Source              | Description                                                                                                                  | N. Tokens   | License                |
-|:--------------------|:-----------------------------------------------------------------------------------------------------------------------------|:------------|:-----------------------|
-| [lexdk]             | Permissible use articles from [lex.dk](https://lex.dk)                                                                       | 5.69M       | [CC-BY-SA 4.0]         |
-| [opensubtitles]     | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                        | 271.60M     | [CC-0]                 |
-| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | 516.54M     | [Danish Copyright Law] |
-| [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                       | 100.89M     | [CC-0]                 |
-| [ft]                | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall                                      | 114.09M     | [CC-0]                 |
-| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                              | 5.34M       | [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]         |
-| [adl]               | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)                                                | 58.49M      | [CC-0]                 |
-| [hest]              | Samples from the Danish debate forum www.heste-nettet.dk                                                                     | 389.33M     | [CC-0]                 |
-| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                     | 122.12M     | [CC-0]                 |
-| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                             | 1.52M       | [DanNet 1.0 License]   |
-| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                | 57.08M      | [CC-0]                 |
-| [wikibooks]         | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                              | 6.24M       | [CC-0]                 |
-| [jvj]               | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)              | 3.55M       | [CC-BY-SA 4.0]         |
-| [gutenberg]         | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                    | 6.76M       | [Gutenberg License]    |
-| [botxt]             | The Bornholmsk Ordbog Dictionary Projec                                                                                      | 847.97K     | [CC-0]                 |
-| [depbank]           | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT)       | 185.45K     | [CC-BY-SA 4.0]         |
-| [naat]              | Danish speeches from 1930-2022                                                                                               | 286.68K     | [CC-0]                 |
-| [synne]             | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk      | 52.51K      | [CC-0]                 |
-| [wiki]              | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                | 122.00M     | [CC-0]                 |
-| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                        | 37.91M      | [CC-0]                 |
-| [relig]             | Danish religious text from the 1700-2022                                                                                     | 1.24M       | [CC-0]                 |
-| **Total**           |                                                                                                                              | 1.84B       |                        |
-
-[lexdk]: data/lexdk/lexdk.md
-[opensubtitles]: data/opensubtitles/opensubtitles.md
-[retsinformationdk]: data/retsinformationdk/retsinformationdk.md
-[ep]: data/ep/ep.md
-[ft]: data/ft/ft.md
-[wikisource]: data/wikisource/wikisource.md
-[spont]: data/spont/spont.md
-[tv2r]: data/tv2r/tv2r.md
-[adl]: data/adl/adl.md
-[hest]: data/hest/hest.md
-[skat]: data/skat/skat.md
-[dannet]: data/dannet/dannet.md
-[retspraksis]: data/retspraksis/retspraksis.md
-[wikibooks]: data/wikibooks/wikibooks.md
-[jvj]: data/jvj/jvj.md
-[gutenberg]: data/gutenberg/gutenberg.md
-[botxt]: data/botxt/botxt.md
-[depbank]: data/depbank/depbank.md
-[naat]: data/naat/naat.md
-[synne]: data/synne/synne.md
-[wiki]: data/wiki/wiki.md
-[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
-[relig]: data/relig/relig.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
-[Danish Copyright Law]: ./data/retsinformationdk/retsinformationdk.md#license-information
-[DanNet 1.0 License]: ./data/dannet/dannet.md#license-information
-[Gutenberg License]: ./data/gutenberg/gutenberg.md#license-information
-<!-- END-MAIN TABLE -->
-
-
-You can learn more about each dataset by pressing 
-
-<!-- ### Quality Control
-
-Dynaword performs quality checks along with each PR. These quality checks includes:
-- ensuring unique ids
-TODO:
-- checking for duplicates 
--->
-
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
+| 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 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](CONTRIBUTING.md)
 
 ### Citation Information
 
-This version expand upon existing dataset sources such as the [Danish gigaword](https://huggingface.co/danish-foundation-models). 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](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new).
-
-### 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.
+The original version of Danish Gigawords was created as a part of the following publication.
 
-You can contact us through [this channel](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new).
+> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021).
 
-Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.
+```
+@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}
+}
+```
 
----
 
-<h3 style="display: flex; align-items: center;">
-  <a href="https://www.foundationmodels.dk">
-    <img src="./docs/icon.png" width="30" style="margin-right: 10px;" />
-  </a>
-  A&nbsp;<a href=https://www.foundationmodels.dk>Danish Foundation Models</a>&nbsp;dataset
-</h3>
+<!-- 
+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
+-->

data/adl/adl.md

@@ -3,7 +3,7 @@ pretty_name:  Archive for Danish Literature
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
@@ -11,89 +11,47 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
-# Dataset Card for Archive for Danish Literature
-
+# Dataset Card for  Archive for Danish Literature
 ## Dataset Description
-
-<!-- START-SHORT DESCRIPTION -->
-Danish literature from 1700-2023 from the Archive for Danish Literature (ADL).
-<!-- END-SHORT DESCRIPTION -->
-
-See also dataset [entry](https://sprogteknologi.dk/dataset/public-adl-text-sources) on sprogteknologi.dk and their API [here](https://rawgit.com/Det-Kongelige-Bibliotek/access-digital-objects/master/form-demos/adl-form.html).
-
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 498
-- **Number of tokens (Llama 3)**: 58.49M
-- **Average document length (characters)**: 324932.24
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 498
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "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"
-  }
+    'text': 'SAMLEDE VÆRKER
+
+JEPPE AAKJÆR GYLDENDALSKE BOGHANDE',
+    'source': 'adl',
+    'id': 'adl_aakjaer06val',
+    'added': '2020-09-14',
+    'created': '1700-01-01, 2022-01-01',
+    'metadata': {
+        'domain': 'Wiki & Books',
+        'license': 'Creative Commons Legal Code
+
+CC0 1.0 Universal',
+        'source-pretty': ' Archive for Danish Literature'
+        }
 }
 ```
 
-### Data Fields
-
-An entry in the dataset consists of the following fields:
+## Data 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.
-- `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
-<!-- END-SAMPLE -->
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
 
+## License Information
+<details>
+<summary>Creative Commons Zero v1.0 Universal</summary>
+<p>
+Creative Commons Legal Code
 
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-## 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}
-}
-```
+CC0 1.0 Universal
+</p>
+</details>

data/adl/adl.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5af9444529d92c37f35161829c652f8b928f9f1dfb5836065f320d1e1d698818
-size 106401744
+oid sha256:d51c291d1cf6461a1e59dd45dfd63ee39a5c62cd3c2fd05877489d50aaa5115e
+size 106409966

data/adl/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 498, "average_document_length": 324932.2429718876, "number_of_tokens": 58493311, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/botxt/botxt.md

@@ -1,9 +1,9 @@
 ---
-pretty_name: Bornholmsk
+pretty_name: Bornholmsk (Danish dialect)
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
@@ -11,88 +11,47 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
-# Dataset Card for Bornholmsk 
-
+# Dataset Card for Bornholmsk (Danish dialect)
 ## Dataset Description
-
-<!-- START-SHORT DESCRIPTION -->
-The Bornholmsk Ordbog Dictionary Project
-<!-- END-SHORT DESCRIPTION -->
-
-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
-- **Number of samples**: 106
-- **Number of tokens (Llama 3)**: 847.97K
-- **Average document length (characters)**: 18972.42
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 106
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "text": "Ræua-Lârs\n\nRæua-Lârs å hans Konna, Stina, bode uda i Torpabakkana. Hanj hed nok æjla Lârs\nNielsen, m[...]",
-  "source": "botxt",
-  "id": "botxt_0000040",
-  "added": "2024-05-16",
-  "created": "2000-01-01, 2022-01-01",
-  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
-  "domain": "Other",
-  "metadata": {
-    "source-pretty": "Bornholmsk (Danish dialect)"
-  }
+    'text': 'Ræua-Lârs
+
+Ræua-Lârs å hans Konna, Stina, bode uda',
+    'source': 'botxt',
+    'id': 'botxt_0000040',
+    'added': '2024-05-16',
+    'created': '2000-01-01, 2022-01-01',
+    'metadata': {
+        'domain': 'Other',
+        'license': 'Creative Commons Legal Code
+
+CC0 1.0 Universal',
+        'source-pretty': 'Bornholmsk (Danish dialect)'
+        }
 }
 ```
 
-### Data Fields
+## Data Fields
 
-An entry in the dataset consists of the following fields:
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
 
-- `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.
-- `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
-<!-- END-SAMPLE -->
+## License Information
+<details>
+<summary>Creative Commons Zero v1.0 Universal</summary>
+<p>
+Creative Commons Legal Code
 
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-## 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}
-}
-```
+CC0 1.0 Universal
+</p>
+</details>

data/botxt/botxt.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ec89c1dd57f1987dc6fe059a33a1d16b41b8c87439673a381f9671497f65b017
-size 1344033
+oid sha256:b42642896dfda21b23bb8e8ef5ba65f878ebfa5fec2f6d57aec1e06778c75bbf
+size 1353171

data/botxt/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 106, "average_document_length": 18972.415094339623, "number_of_tokens": 847973, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/dannet/dannet.md

@@ -1,8 +1,8 @@
 ---
-pretty_name: DanNet
+pretty_name: DanNet (Danish WordNet)
 language:
   - da
-license: other
+license: DanNet 1.0 License
 license_name: DanNet 1.0 License
 size_categories:
   - 10k-100k
@@ -11,68 +11,74 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
-# Dataset Card for DanNet 
-
-<!-- START-SHORT DESCRIPTION -->
-[DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet.
-<!-- END-SHORT DESCRIPTION -->
-
-
-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 Card for DanNet (Danish WordNet)
 ## Dataset Description
+- **Number of records:** 49040
+- **Languages:** Danish
+## Dataset Sturcture
+An example from the dataset looks as follows.
+```yaml
+{
+    'text': 'Når fodboldholdet fra 1. division i Ikast spiller ',
+    'source': 'dannet',
+    'id': 'dannet_46506',
+    'added': '2020-09-24',
+    '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.
 
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 49.04K
-- **Number of tokens (Llama 3)**: 1.52M
-- **Average document length (characters)**: 90.80
-<!-- END-DESC-STATS -->
+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.
 
-## Dataset Structure
-An example from the dataset looks as follows.
+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.
 
-<!-- START-SAMPLE -->
-```py
-{
-  "text": "Når fodboldholdet fra 1. division i Ikast spiller hjemmekampe, lyder råbet ud over Ikast Stadion: We[...]",
-  "source": "dannet",
-  "id": "dannet_46506",
-  "added": "2020-09-24",
-  "created": "2000-01-01, 2022-01-01",
-  "license": "Commercial Use of DanNet\n\nDanNet may be used in commercial applications in accordance with the follo[...]",
-  "domain": "dannet",
-  "metadata": {
-    "source-pretty": "DanNet (Danish WordNet)"
-  }
+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',
+        'source-pretty': 'DanNet (Danish WordNet)'
+        }
 }
 ```
 
-### 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.
-- `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
-<!-- END-SAMPLE -->
-
+## Data Fields
 
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
 
 ## License Information
 <details>
@@ -119,31 +125,3 @@ LICENSEE agrees to preserve same.
 DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish
 </p>
 </details>
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-## 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.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9006617e35f568e7b7e4dacc87c4a490cf0a9170bd4e91488de77e00d3fb38c
-size 4487008
+oid sha256:905c2441a4c242e24d370775e9e035df3c67a7a1d797a615297cb6a1bbf51a96
+size 4743422

data/dannet/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 49040, "average_document_length": 90.80340538336053, "number_of_tokens": 1523416, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/depbank/depbank.md

@@ -3,7 +3,7 @@ pretty_name: Danish Dependency Treebank
 language:
   - da
 license: cc-by-sa-4.0
-license_name: CC-BY-SA 4.0
+license_name: Creative Commons Attribution Share Alike 4.0
 size_categories:
   - 1-10k
 task_categories:
@@ -11,93 +11,41 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
 # Dataset Card for Danish Dependency Treebank
-
-<!-- START-SHORT DESCRIPTION -->
-The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT).
-<!-- END-SHORT DESCRIPTION -->
-
-
-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 -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 536
-- **Number of tokens (Llama 3)**: 185.45K
-- **Average document length (characters)**: 1018.90
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 536
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "text": "\nH.L. Hansen var en usædvanmlig og frodig personlighed. Han skabte \nglæde og munterhed omkring sig o[...]",
-  "source": "depbank",
-  "id": "depbank_0375",
-  "added": "2024-05-16",
-  "created": "2000-01-01, 2022-01-01",
-  "license": "Attribution-ShareAlike 4.0 International",
-  "domain": "Other",
-  "metadata": {
-    "source-pretty": "Danish Dependency Treebank"
-  }
+    'text': 'H.L. Hansen var en usædvanmlig og frodig personlig',
+    'source': 'depbank',
+    'id': 'depbank_0375',
+    'added': '2024-05-16',
+    'created': '2000-01-01, 2022-01-01',
+    'metadata': {
+        'domain': 'Other',
+        'license': 'Attribution-ShareAlike 4.0 International',
+        'source-pretty': 'Danish Dependency Treebank'
+        }
 }
 ```
 
-### 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.
-- `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
-<!-- END-SAMPLE -->
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-
-## 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 Fields
+
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
+
+## License Information
+<details>
+<summary>Creative Commons Attribution Share Alike 4.0</summary>
+<p>
+Attribution-ShareAlike 4.0 International
+</p>
+</details>

data/depbank/depbank.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d4172e2ab4d7256ca5b76ad45b4d7326616e6679642056fdef20c5e3a8b1c62
-size 392216
+oid sha256:863aac5735bee6995b665864ea355b488e35bb2cca696ea340d8febc653b8886
+size 394917

data/depbank/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 536, "average_document_length": 1018.8992537313433, "number_of_tokens": 185454, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/ep/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 4213, "average_document_length": 74063.40469973891, "number_of_tokens": 100888932, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/ep/ep.md

@@ -3,7 +3,7 @@ pretty_name: European Parliament
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
@@ -11,91 +11,45 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
 # Dataset Card for European Parliament
-
-<!-- START-SHORT DESCRIPTION -->
-The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/).
-<!-- END-SHORT DESCRIPTION -->
-
-
-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 -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 4.21K
-- **Number of tokens (Llama 3)**: 100.89M
-- **Average document length (characters)**: 74063.40
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 4213
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "text": "TALER 6703: Jeg har stemt for henstillingen om godkendelse af opdelingsanordninger til beskyttelse a[...]",
-  "source": "ep",
-  "id": "ep_07-02-01-008",
-  "added": "2019-11-20",
-  "created": "2004-01-01, 2009-01-01",
-  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
-  "domain": "Conversation",
-  "metadata": {
-    "source-pretty": "European Parliament"
-  }
+    'text': 'TALER 6703: Jeg har stemt for henstillingen om god',
+    'source': 'ep',
+    'id': 'ep_07-02-01-008',
+    'added': '2019-11-20',
+    'created': '2004-01-01, 2009-01-01',
+    'metadata': {
+        'domain': 'Conversation',
+        'license': 'Creative Commons Legal Code
+
+CC0 1.0 Universal',
+        'source-pretty': 'European Parliament'
+        }
 }
 ```
 
-### 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.
-- `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
-<!-- END-SAMPLE -->
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
+## Data Fields
 
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
 
-## Additional Information
+## License Information
+<details>
+<summary>Creative Commons Zero v1.0 Universal</summary>
+<p>
+Creative Commons Legal Code
 
-
-### 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}
-}
-```
+CC0 1.0 Universal
+</p>
+</details>

data/ep/ep.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f76e86335bd765b3ff3cf5ccdfe8f220e39349a0344fdf2b9918adbdd96aedeb
-size 170796385
+oid sha256:85c8eb6954522c757ee3e410f7f277a74ecedd8e7507ef00a698a654dc8bea20
+size 171150568

data/ft/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 1315, "average_document_length": 266745.19163498096, "number_of_tokens": 114087231, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/ft/ft.md

@@ -1,9 +1,9 @@
 ---
-pretty_name: Folketinget
+pretty_name: Folketinget (Danish Parliament)
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
@@ -11,92 +11,45 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
-# Dataset Card for Folketinget
-
+# Dataset Card for Folketinget (Danish Parliament)
 ## Dataset Description
-
-<!-- START-SHORT DESCRIPTION -->
-Records from all meetings of The Danish parliament (Folketinget) in the parliament hall. 
-<!-- END-SHORT DESCRIPTION -->
-
-
-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
-- **Number of samples**: 1.31K
-- **Number of tokens (Llama 3)**: 114.09M
-- **Average document length (characters)**: 266745.19
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 1315
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "text": "TALER 50: Mødet er åbnet. I dag er der følgende anmeldelser: Ministeren for by, bolig og landdistrik[...]",
-  "source": "ft",
-  "id": "ft_20121M100",
-  "added": "2021-03-28",
-  "created": "2009-01-01, 2019-01-01",
-  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
-  "domain": "Conversation",
-  "metadata": {
-    "source-pretty": "Folketinget (Danish Parliament)"
-  }
+    'text': 'TALER 50: Mødet er åbnet. I dag er der følgende an',
+    'source': 'ft',
+    'id': 'ft_20121M100',
+    'added': '2021-03-28',
+    'created': '2009-01-01, 2019-01-01',
+    'metadata': {
+        'domain': 'Conversation',
+        'license': 'Creative Commons Legal Code
+
+CC0 1.0 Universal',
+        'source-pretty': 'Folketinget (Danish Parliament)'
+        }
 }
 ```
 
-### 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.
-- `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
-<!-- END-SAMPLE -->
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
+## Data Fields
 
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
 
-## Additional Information
+## License Information
+<details>
+<summary>Creative Commons Zero v1.0 Universal</summary>
+<p>
+Creative Commons Legal Code
 
-
-### 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}
-}
-```
+CC0 1.0 Universal
+</p>
+</details>

data/ft/ft.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e46276c575c7d9ddc30f44111206d250cb02473c992d0087bf0a9a5f4266da18
-size 181926375
+oid sha256:31775c6e84a1542897641712e39d4c6cde2aa69673d7875c6a39f3148c08e0fb
+size 182049520

data/gutenberg/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 66, "average_document_length": 290147.9393939394, "number_of_tokens": 6763317, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/gutenberg/gutenberg.md

@@ -2,7 +2,7 @@
 pretty_name: Gutenberg
 language:
   - da
-license: other
+license: Gutenberg License
 license_name: Gutenberg License
 size_categories:
   - 1-10k
@@ -11,75 +11,365 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
 # Dataset Card for Gutenberg
-
 ## Dataset Description
+- **Number of records:** 66
+- **Languages:** Danish
+## Dataset Sturcture
+An example from the dataset looks as follows.
+```yaml
+{
+    '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 ***
 
-<!-- START-SHORT DESCRIPTION -->
-The Danish subsection from Project [Gutenberg](https://www.gutenberg.org). 
-<!-- END-SHORT DESCRIPTION -->
+THE FULL PROJECT GUTENBERG LICENSE
+PLEASE READ THIS BEFORE YOU DISTRIBUTE OR USE THIS WORK
 
+To protect the Project Gutenberg-tm mission of promoting the free
+distribution of electronic works, by using or distributing this work
+(or any other work associated in any way with the phrase "Project
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-Project Gutenberg is an online library of free eBooks. Project Gutenberg was the first provider of free electronic books, or eBooks.
 
+Section 1.  General Terms of Use and Redistributing Project Gutenberg-tm
+electronic works
 
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 66
-- **Number of tokens (Llama 3)**: 6.76M
-- **Average document length (characters)**: 290147.94
-<!-- END-DESC-STATS -->
+1.A.  By reading or using any part of this Project Gutenberg-tm
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-  "source": "gutenberg",
-  "id": "gutenberg_43899",
-  "added": "2020-09-12",
-  "created": "1700-01-01, 2022-01-01",
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-  "domain": "Wiki & Books",
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-- `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.
-- `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
-<!-- END-SAMPLE -->
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+including how to make donations to the Project Gutenberg Literary
+Archive Foundation, how to help produce our new eBooks, and how to
+subscribe to our email newsletter to hear about new eBooks.
+',
+        'source-pretty': 'Gutenberg'
+        }
+}
+```
+
+## Data Fields
+
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
+
+## License Information
 <details>
 <summary>Gutenberg License</summary>
 <p>
-
-```
 *** START: FULL LICENSE ***
 
 THE FULL PROJECT GUTENBERG LICENSE
@@ -404,56 +694,6 @@ This Web site includes information about Project Gutenberg-tm,
 including how to make donations to the Project Gutenberg Literary
 Archive Foundation, how to help produce our new eBooks, and how to
 subscribe to our email newsletter to hear about new eBooks.
-```
 
 </p>
 </details>
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-
-## 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/gutenberg/gutenberg.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1e8364195e60b64e285d0c1b8c4b6ae0da7a1b6165de77bb4fc4049c317b445c
-size 12342492
+oid sha256:973df5121d3da73a5915f6dd1da0290ffbaece92b2c7c4dec562155974c0076f
+size 12361984

data/hest/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 14391, "average_document_length": 82950.79104996179, "number_of_tokens": 389325153, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/hest/hest.md

@@ -3,7 +3,7 @@ pretty_name: Hestenettet (Danish debate forum)
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 10k-100k
 task_categories:
@@ -11,92 +11,46 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
-# Dataset Card for Hestenettet
-
-<!-- START-SHORT DESCRIPTION -->
-Samples from the Danish debate forum www.heste-nettet.dk.
-<!-- END-SHORT DESCRIPTION -->
-
-
-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 Card for Hestenettet (Danish debate forum)
 ## Dataset Description
-
-
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 14.39K
-- **Number of tokens (Llama 3)**: 389.33M
-- **Average document length (characters)**: 82950.79
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 14391
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "text": "Er den ikke kær? \nJeg kan ikke forstå at der altid er nogle der åbenbart ser alle indlæg her på HN ,[...]",
-  "source": "hest",
-  "id": "hest_forum112802271280227_0",
-  "added": "2020-10-05",
-  "created": "2000-01-01, 2022-01-01",
-  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
-  "domain": "Social Media",
-  "metadata": {
-    "source-pretty": "Hestenettet (Danish debate forum)"
-  }
+    'text': 'Er den ikke kær? 
+Jeg kan ikke forstå at der altid',
+    'source': 'hest',
+    'id': 'hest_forum112802271280227_0',
+    'added': '2020-10-05',
+    'created': '2000-01-01, 2022-01-01',
+    'metadata': {
+        'domain': 'Social Media',
+        'license': 'Creative Commons Legal Code
+
+CC0 1.0 Universal',
+        'source-pretty': 'Hestenettet (Danish debate forum)'
+        }
 }
 ```
 
-### 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.
-- `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
-<!-- END-SAMPLE -->
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
+## Data Fields
 
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
 
-## Additional Information
+## License Information
+<details>
+<summary>Creative Commons Zero v1.0 Universal</summary>
+<p>
+Creative Commons Legal Code
 
-
-### 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}
-}
-```
+CC0 1.0 Universal
+</p>
+</details>

data/hest/hest.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:258c9263b68b8d8573eab1eaa8221c557e9259aa1a222911fdff41f5cbbda66b
-size 747678214
+oid sha256:9b85d658074ebec3eb95da8f8e522d83707b646b5f3b8b706279496eec3b31c3
+size 748670544

data/jvj/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 42, "average_document_length": 254893.66666666666, "number_of_tokens": 3549181, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/jvj/jvj.md

@@ -1,9 +1,9 @@
 ---
-pretty_name: Johannes V. Jensen
+pretty_name: Johannes V. Jensen (Danish poet)
 language:
   - da
 license: cc-by-sa-4.0
-license_name: CC-BY-SA 4.0
+license_name: Creative Commons Attribution Share Alike 4.0
 size_categories:
   - 1-10k
 task_categories:
@@ -11,92 +11,41 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
-# Dataset Card for Johannes V. Jensen
-
-<!-- START-SHORT DESCRIPTION -->
-The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen).
-<!-- END-SHORT DESCRIPTION -->
-
-
-
-
-
-
+# Dataset Card for Johannes V. Jensen (Danish poet)
 ## Dataset Description
-
-
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 42
-- **Number of tokens (Llama 3)**: 3.55M
-- **Average document length (characters)**: 254893.67
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 42
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "text": "JØRGINE JØRGINE KØBENHAVN HAGE & CLAUSENS FORLAG (J. FR. CLAUSEN) 1926 JOHANNES V. JENSEN COPYRIGHT [...]",
-  "source": "jvj",
-  "id": "jvj_Jørgine",
-  "added": "2020-06-26",
-  "created": "1873-01-01, 1951-01-01",
-  "license": "Attribution-ShareAlike 4.0 International",
-  "domain": "Wiki & Books",
-  "metadata": {
-    "source-pretty": "Johannes V. Jensen (Danish poet)"
-  }
+    'text': 'JØRGINE JØRGINE KØBENHAVN HAGE & CLAUSENS FORLAG (',
+    'source': 'jvj',
+    'id': 'jvj_Jørgine',
+    'added': '2020-06-26',
+    'created': '1873-01-01, 1951-01-01',
+    'metadata': {
+        'domain': 'Wiki & Books',
+        'license': 'Attribution-ShareAlike 4.0 International',
+        'source-pretty': 'Johannes V. Jensen (Danish poet)'
+        }
 }
 ```
 
-### 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.
-- `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
-<!-- END-SAMPLE -->
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-## 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 Fields
+
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
+
+## License Information
+<details>
+<summary>Creative Commons Attribution Share Alike 4.0</summary>
+<p>
+Attribution-ShareAlike 4.0 International
+</p>
+</details>

data/jvj/jvj.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5706ac4ddb20ce41ac198d3a603c80a7ab76e8a84d028bf145934a704401e17d
-size 6824089
+oid sha256:7a524aafe8fe1ba86bc09c091b10aacf55e558124fef59e68f60bed03816636a
+size 6829395

data/lexdk/create.py

@@ -1,78 +0,0 @@
-"""download lexdk from alexandrainst/lexdk-open"""
-
-from datetime import datetime
-from pathlib import Path
-from typing import cast
-
-import pandas as pd
-from datasets import Dataset, load_dataset
-
-column_order = [
-    "text",
-    "source",
-    "id",
-    "added",
-    "created",
-    "license",
-    "domain",
-    "metadata",
-]
-
-
-def convert_sample(example: dict) -> dict:
-    # from sample:
-    # {
-    #     "url": "https://denstoredanske.lex.dk/Kullmanns_M%C3%B8lle",
-    #     "title": "Kullmanns Mølle",
-    #     "clarification": "",
-    #     "authors": ["https://brugere.lex.dk/6929"],
-    #     "date": "2021-01-20T13:23:20+01:00",
-    #     "license": "fri anvendelse",
-    #     "text": "Kullmanns Mølle er en mølle i Gudhjem, opkaldt efter Matts Kullmann, der byggede møllen i 1893 til sin søn, Christian Kullmann, se Gudhjem Mølle.",
-    # }
-    date = datetime.fromisoformat(example["date"])
-    text = f"{example["title"]}\n\npubliceret: {date}\n{example["text"]}"
-
-    new_example = dict(
-        text_new=text,
-        id=example["url"],
-        source="lexdk",
-        domain="Conversation",
-        license="cc-by-sa-4.0",
-        added="2025-01-04",
-        created=f"{date.date()}, {date.date()}",
-        metadata={"source-pretty": "Lex.dk"},
-    )
-
-    return new_example
-
-
-def main():
-    ds = load_dataset("alexandrainst/lexdk-open", split="train")
-    ds = cast(Dataset, ds)
-
-    dates = [datetime.fromisoformat(date).date() for date in ds["date"]]
-    print(str(min(dates)), ",", str(max(dates)))  # 2009-01-28, 2023-09-05
-
-    assert len(set(ds["url"])) == len(ds)
-
-    ds = ds.map(convert_sample, num_proc=4)
-    ds = ds.select_columns(column_order[1:] + ["text_new"])
-    ds = ds.rename_columns({"text_new": "text"})
-    # ensure order
-    ds = ds.select_columns(column_order)
-
-    df = ds.to_pandas()
-    df = cast(pd.DataFrame, df)
-    dedup_df = df.drop_duplicates(keep="first", subset=["text"])
-    print("N. duplicates: ", df.shape[0] - dedup_df.shape[0])  # 0
-
-    ds = ds.select(dedup_df.index)
-    assert len(set(ds["text"])) == len(ds)
-
-    save_path = Path(__file__).parent / "lexdk.parquet"
-    ds.to_parquet(save_path)
-
-
-if __name__ == "__main__":
-    main()

data/lexdk/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 11887, "average_document_length": 1405.6435601918063, "number_of_tokens": 5688613, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/lexdk/lexdk.md

@@ -1,85 +0,0 @@
----
-pretty_name: OpenSubtitles
-language:
-  - da
-license: cc-by-sa-4.0
-license_name: CC-BY-SA 4.0
-task_categories:
-  - text-generation
-  - fill-mask
-task_ids:
-  - language-modeling
-source_datasets:
-  - alexandrainst/lexdk-open
----
-
-# Dataset Card for OpenSubtitles
-
-<!-- START-SHORT DESCRIPTION -->
-Permissible use articles from [lex.dk](https://lex.dk).
-<!-- END-SHORT DESCRIPTION -->
-
-Lex.dk is a Danish online encyclopedia platform providing access to reliable and authoritative knowledge on a wide range of topics. It is created and curated by experts, ensuring high-quality, accurate content. The platform serves as a central hub for general and specialized information in Danish, making it a valuable resource for education, research, and general learning.
-
-
-
-
-## Dataset Description
-
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 11.89K
-- **Number of tokens (Llama 3)**: 5.69M
-- **Average document length (characters)**: 1405.64
-<!-- END-DESC-STATS -->
-
-
-## Dataset Structure
-An example from the dataset looks as follows.
-
-<!-- START-SAMPLE -->
-```py
-{
-  "text": "Oluf Høst Museet\n\npubliceret: 2014-04-23 03:42:33+02:00\nOluf Høst Museet, kunstmuseum i Gudhjem, Bor[...]",
-  "source": "lexdk",
-  "id": "https://denstoredanske.lex.dk/Oluf_H%C3%B8st_Museet",
-  "added": "2025-01-04",
-  "created": "2014-04-23, 2014-04-23",
-  "license": "cc-by-sa-4.0",
-  "domain": "Conversation",
-  "metadata": {
-    "source-pretty": "Lex.dk"
-  }
-}
-```
-
-### 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.
-- `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
-<!-- END-SAMPLE -->
-
-
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-## Additional Information
-
-
-### Citation Information
-
-This dataset is derived from the publicly availabe dataset [alexandrainst/lexdk-open](https://huggingface.co/datasets/alexandrainst/lexdk-open).

data/lexdk/lexdk.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5c4779881f575d6f612c8603ed4896f10ebc7293c59637fa8a0773ee4545fce3
-size 10007743

data/naat/descriptive_stats.json

@@ -1 +0,0 @@
-{"number_of_samples": 129, "average_document_length": 6832.387596899225, "number_of_tokens": 286677, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/naat/naat.md

@@ -3,7 +3,7 @@ pretty_name: NAAT
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
@@ -11,87 +11,45 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
-
 # Dataset Card for NAAT
-
-<!-- START-SHORT DESCRIPTION -->
-Danish speeches from 1930-2022.
-<!-- END-SHORT DESCRIPTION -->
-
-
 ## Dataset Description
-
-
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 129
-- **Number of tokens (Llama 3)**: 286.68K
-- **Average document length (characters)**: 6832.39
-<!-- END-DESC-STATS -->
-
-
-
-## Dataset Structure
+- **Number of records:** 129
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
-
-
-<!-- START-SAMPLE -->
-```py
+```yaml
 {
-  "text": "Naar jeg i aften sender min nytaarshilsen til det danske folk og tænker tilbage paa det aar, der sva[...]",
-  "source": "naat",
-  "id": "naat_1958kongfrederikix",
-  "added": "2020-02-11",
-  "created": "1930-01-01, 2022-01-01",
-  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
-  "domain": "Conversation",
-  "metadata": {
-    "source-pretty": "NAAT"
-  }
+    'text': 'Naar jeg i aften sender min nytaarshilsen til det ',
+    'source': 'naat',
+    'id': 'naat_1958kongfrederikix',
+    'added': '2020-02-11',
+    'created': '1930-01-01, 2022-01-01',
+    'metadata': {
+        'domain': 'Conversation',
+        'license': 'Creative Commons Legal Code
+
+CC0 1.0 Universal',
+        'source-pretty': 'NAAT'
+        }
 }
 ```
 
-### Data Fields
+## Data Fields
 
-An entry in the dataset consists of the following fields:
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
 
-- `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.
-- `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
-<!-- END-SAMPLE -->
+## License Information
+<details>
+<summary>Creative Commons Zero v1.0 Universal</summary>
+<p>
+Creative Commons Legal Code
 
-### Dataset Statistics
-
-<!-- START-DATASET PLOTS -->
-<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-<img>
-<!-- END-DATASET PLOTS -->
-
-
-## 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}
-}
-```
+CC0 1.0 Universal
+</p>
+</details>

data/naat/naat.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc7c4b8640c72a20abba667d9630fe8d234266a7d42f50a9a20be28b1e0ecff6
-size 544392
+oid sha256:6958784a0c4039e9357dee0dedc6bd010e7dd3573d2d9a4db45ce5e4a6608feb
+size 545253

data/nordjyllandnews/create.py

@@ -1,51 +0,0 @@
-"""
-This scripts download nordjylland news and converts it to the format of danish dynaword
-"""
-
-import random
-from pathlib import Path
-from typing import cast
-
-from datasets import Dataset, load_dataset
-
-schemas = [
-    "{summary}\n\n{text}",
-    "{text}\n\nOpsummering:\n{summary}",
-    "{text}\n\nReferat:\n{summary}",
-    "Lav et referat af nedenstående tekst:\n\nTekst:\n{text}\n\nReferat:\n{summary}",
-]
-source = "nordjyllandnews"
-
-
-def convert_sample(example):
-    schema = random.choice(schemas)
-    new_example = dict(
-        text_new=schema.format(text=example["text"], summary=example["summary"]),
-        source=source,
-        domain="News",
-        license="Creative Commons Legal Code\n\nCC0 1.0 Universal",
-        added="2024-12-16",
-        created="2000-01-01, 2024-01-01",  # best guess
-        metadata={"source-pretty": "Nordjylland News"},
-    )
-
-    return new_example
-
-
-def main():
-    ds = load_dataset("alexandrainst/nordjylland-news-summarization", split="train")
-    ds = cast(Dataset, ds)
-
-    ds = ds.map(convert_sample, remove_columns=ds.column_names)
-    ds = ds.rename_columns({"text_new": "text"})
-    ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))])  # type: ignore
-    ds = ds.select_columns(
-        ["text", "source", "id", "added", "created", "license", "domain", "metadata"]
-    )
-
-    save_path = Path(__file__).parent / f"{source}.parquet"
-    ds.to_parquet(save_path)
-
-
-if __name__ == "__main__":
-    main()