Datasets:

danish-foundation-models
/

danish-dynaword

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

 {
     "python.testing.pytestArgs": [
+        "."
     ],
     "python.testing.unittestEnabled": false,
     "python.testing.pytestEnabled": true

CONTRIBUTING.md CHANGED Viewed

@@ -3,8 +3,8 @@
 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:
@@ -12,7 +12,7 @@ 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
 ```
@@ -49,30 +49,8 @@ git checkout pr/{PR NUMBER}
 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.

 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-gigaword-2
+cd danish-gigaword-2
 ```
 You can the work with the dataset locally like so:
 ```py
 from datasets import load_dataset
+name = "../."  # instead of "danish-foundation-models/danish-gigaword-2"
 dataset = load_dataset("../.", split="train")
 # make transformations here
 ```
 git push origin pr/{PR NUMBER}:refs/pr/{PR NUMBER}
 ```
+Before you make the PR do be sure to make sure that the tests have been run.
 To see example PR you can see the following:
+- [Restructuring columns in the dataset](https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/discussions/11)

README.md CHANGED Viewed

@@ -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
@@ -120,18 +112,16 @@ language_bcp47:
 <!--
 readme structure is inspired by:
-https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
--->
 # 🧨 Danish Dynaword
-|              |                                                                                                                                                             |
-| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **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) |
 ## Table of Contents
@@ -149,22 +139,12 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
     - [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 -->
 ### Dataset Summary
@@ -217,19 +197,16 @@ The dataset contains text from different sources which are thoroughly defined in
 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"
-  }
 }
 ```
@@ -246,7 +223,7 @@ An entry in the dataset consists of the following fields:
 - `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 Splits
@@ -266,85 +243,34 @@ This data generally contains no annotation besides the metadata attached to each
 Below follows a brief overview of the sources in the corpus along with their individual license.
-<!-- 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 -->
 ## Additional Information
@@ -356,27 +282,3 @@ We welcome contributions to the dataset such as new sources, better data filteri
 ### 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.
-You can contact us through [this channel](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new).
-Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.
----
-<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>

   data_files:
   - split: train
     path: 'data/*/*.parquet'
 - config_name: retsinformationdk
   data_files:
   - split: train
 <!--
 readme structure is inspired by:
+https://github.com/huggingface/datasets/blob/main/templates/README_guide.md -->
 # 🧨 Danish Dynaword
+|              |                                                                                                                                                               |
+| ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **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-gigaword-2/discussions) |
 ## Table of Contents
     - [Curation Rationale](#curation-rationale)
     - [Annotations](#annotations)
     - [Source Data](#source-data)
   - [Additional Information](#additional-information)
     - [Contributing to the dataset](#contributing-to-the-dataset)
     - [Citation Information](#citation-information)
 ## Dataset Description
 ### Dataset Summary
 Each entry in the dataset consists of a single text with associated metadata
 ```py
 {
+    "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL...",
+    "source": "adl",
+    "id": "adl_aakjaer06val",
+    "added": "2020-09-14",
+    "created": "1700-01-01, 2022-01-01",
+    "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
+    "domain": "Wiki & Books",
+    "metadata": {"source-pretty": "Archive for Danish Literature"},
 }
 ```
 - `domain` (`str`): The domain of the source
 - `metadata/source-pretty` (`str`): The long form version of the short-form source name
 - `metadata/*`: Potentially additional metadata
 ### Data Splits
 Below follows a brief overview of the sources in the corpus along with their individual license.
+| Source            | License                                                  |
+| ----------------- | -------------------------------------------------------- |
+| adl               | Creative Commons Legal Code 1.0 Universal                |
+| botxt             | Creative Commons Legal Code 1.0 Universal                |
+| dannet            | [dannet license]                                         |
+| depbank           | Attribution-ShareAlike 4.0 International                 |
+| ep                | Creative Commons Legal Code 1.0 Universal                |
+| ft                | Creative Commons Legal Code 1.0 Universal                |
+| gutenberg         | [gutenberg license]                                      |
+| hest              | Creative Commons Legal Code 1.0 Universal                |
+| jvj               | Attribution-ShareAlike 4.0 International                 |
+| naat              | Creative Commons Legal Code 1.0 Universal                |
+| relig             | Creative Commons Legal Code 1.0 Universal                |
+| retsinformationdk | [Other (Danish Law)]                                     |
+| retspraksis       | Creative Commons Legal Code 1.0 Universal                |
+| skat              | Creative Commons Legal Code 1.0 Universal                |
+| spont             | Creative Commons Legal Code 1.0 Universal                |
+| synne             | Creative Commons Legal Code 1.0 Universal                |
+| tv2r              | [Custom, Creative Commons Attribution 4.0 International] |
+| wiki              | Creative Commons Legal Code 1.0 Universal                |
+| wikibooks         | Creative Commons Legal Code 1.0 Universal                |
+| wikisource        | Creative Commons Legal Code 1.0 Universal                |
+[Custom, Creative Commons Attribution 4.0 International]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/tv2r/tv2r.md#license-information
+[gutenberg license]: https://www.gutenberg.org/policy/license.html
+[dannet license]: https://cst.ku.dk/projekter/dannet/license.txt
+[Other (Danish Law)]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/retsinformationdk/retsinformationdk.md#license-information
 ## Additional Information
 ### 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.

data/adl/adl.md CHANGED Viewed

@@ -3,7 +3,7 @@ pretty_name:  Archive for Danish Literature
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 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 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
 An example from the dataset looks as follows.
-<!-- 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"
-  }
 }
 ```
-### 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}
-}
-```

 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
+# Dataset Card for  Archive for Danish Literature
 ## Dataset Description
+- **Number of records:** 498
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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
+CC0 1.0 Universal
+</p>
+</details>

data/adl/descriptive_stats.json DELETED Viewed

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

data/adl/images/dist_document_length.png DELETED Viewed

Git LFS Details

SHA256: 297677d067d7831f90c4d539c1d160af2087a25119691bbfda61e95de62ca5f5
Pointer size: 131 Bytes
Size of remote file: 539 kB

data/botxt/botxt.md CHANGED Viewed

@@ -1,9 +1,9 @@
 ---
-pretty_name: Bornholmsk
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 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 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
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "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)"
-  }
 }
 ```
-### 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}
-}
-```

 ---
+pretty_name: Bornholmsk (Danish dialect)
 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
+# Dataset Card for Bornholmsk (Danish dialect)
 ## Dataset Description
+- **Number of records:** 106
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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
+CC0 1.0 Universal
+</p>
+</details>

data/botxt/descriptive_stats.json DELETED Viewed

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

data/botxt/images/dist_document_length.png DELETED Viewed

Git LFS Details

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Pointer size: 131 Bytes
Size of remote file: 541 kB

data/dannet/dannet.md CHANGED Viewed

@@ -1,8 +1,8 @@
 ---
-pretty_name: DanNet
 language:
   - da
-license: other
 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 Description
-<!-- 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 -->
-## Dataset Structure
-An example from the dataset looks as follows.
-<!-- 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)"
-  }
 }
 ```
-### 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 -->
 ## 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}
-}
-```

 ---
+pretty_name: DanNet (Danish WordNet)
 language:
   - da
+license: DanNet 1.0 License
 license_name: DanNet 1.0 License
 size_categories:
   - 10k-100k
   - fill-mask
 task_ids:
   - language-modeling
 ---
+# 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.
+DanNet 1.0 License
+DanNet Release 2.1
+This software and database is being provided to you, the LICENSEE, by University
+of Copenhagen and Society for Danish Language and Literature under the following
+license. By obtaining, using and/or copying this software and database, you
+agree that you have read, understood, and will comply with these terms and
+conditions.
+Permission to use, copy, modify and distribute this software and database and
+its documentation for any purpose and without fee or royalty is hereby granted,
+provided that you agree to comply with the following copyright notice and
+statements, including the disclaimer, and that the same appear on ALL copies of
+the software, database and documentation, including modifications that you make
+for internal use or for distribution.
+THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND UNIVERSITY OF COPENHAGEN and
+SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO REPRESENTATIONS OR
+WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION,
+UNIVERSITY OF COPENHAGEN AND SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO
+REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR
+PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL
+NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS.
+The names of University of Copenhagen and Society for Danish Language and
+Literature may not be used in advertising or publicity pertaining to
+distribution of the software and/or database. Title to copyright in this
+software, database and any associated documentation shall at all times remain
+with University of Copenhagen and Society for Danish Language and Literature and
+LICENSEE agrees to preserve same.
+DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish',
+        'source-pretty': 'DanNet (Danish WordNet)'
+        }
 }
 ```
+## 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>
 DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish
 </p>
 </details>

data/dannet/descriptive_stats.json DELETED Viewed

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

data/dannet/images/dist_document_length.png DELETED Viewed

Git LFS Details

SHA256: 91dca32a1fd83b3699bb8ebae083dc697a0dac4b703ada720381448216ea0117
Pointer size: 131 Bytes
Size of remote file: 538 kB

data/depbank/depbank.md CHANGED Viewed

@@ -3,7 +3,7 @@ pretty_name: Danish Dependency Treebank
 language:
   - da
 license: cc-by-sa-4.0
-license_name: CC-BY-SA 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
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "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"
-  }
 }
 ```
-### 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}
-}
-```

 language:
   - da
 license: cc-by-sa-4.0
+license_name: Creative Commons Attribution Share Alike 4.0
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
 # Dataset Card for Danish Dependency Treebank
 ## Dataset Description
+- **Number of records:** 536
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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/descriptive_stats.json DELETED Viewed

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

data/depbank/images/dist_document_length.png DELETED Viewed

Git LFS Details

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Pointer size: 131 Bytes
Size of remote file: 547 kB

data/ep/descriptive_stats.json DELETED Viewed

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

data/ep/ep.md CHANGED Viewed

@@ -3,7 +3,7 @@ pretty_name: European Parliament
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 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
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "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"
-  }
 }
 ```
-### 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}
-}
-```

 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
 # Dataset Card for European Parliament
 ## Dataset Description
+- **Number of records:** 4213
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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
+CC0 1.0 Universal
+</p>
+</details>

data/ep/images/dist_document_length.png DELETED Viewed

Git LFS Details

SHA256: 8914d9fad81bcbc519c29b7c258a256d4eb7084ed8ff9c9100a93ad87fbb4171
Pointer size: 131 Bytes
Size of remote file: 545 kB

data/ft/descriptive_stats.json DELETED Viewed

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

data/ft/ft.md CHANGED Viewed

@@ -1,9 +1,9 @@
 ---
-pretty_name: Folketinget
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 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 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
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "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)"
-  }
 }
 ```
-### 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}
-}
-```

 ---
+pretty_name: Folketinget (Danish Parliament)
 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
+# Dataset Card for Folketinget (Danish Parliament)
 ## Dataset Description
+- **Number of records:** 1315
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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
+CC0 1.0 Universal
+</p>
+</details>

data/ft/images/dist_document_length.png DELETED Viewed

Git LFS Details

SHA256: e16a1a9de4f1ef8fedd3e85035287a813d5980b25b40b09c54462671eaebcd81
Pointer size: 131 Bytes
Size of remote file: 550 kB

data/gutenberg/descriptive_stats.json DELETED Viewed

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

data/gutenberg/gutenberg.md CHANGED Viewed

@@ -2,7 +2,7 @@
 pretty_name: Gutenberg
 language:
   - da
-license: other
 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
-<!-- START-SHORT DESCRIPTION -->
-The Danish subsection from Project [Gutenberg](https://www.gutenberg.org).
-<!-- END-SHORT DESCRIPTION -->
-Project Gutenberg is an online library of free eBooks. Project Gutenberg was the first provider of free electronic books, or eBooks.
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 66
-- **Number of tokens (Llama 3)**: 6.76M
-- **Average document length (characters)**: 290147.94
-<!-- END-DESC-STATS -->
-## Dataset Structure
-An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
-{
-  "text": "Afskriverens bemærkninger: Åbenlyse trykfejl er rettet\ni denne e-bog, men forfatterens stavning er f[...]",
-  "source": "gutenberg",
-  "id": "gutenberg_43899",
-  "added": "2020-09-12",
-  "created": "1700-01-01, 2022-01-01",
-  "license": "*** START: FULL LICENSE ***\n\nTHE FULL PROJECT GUTENBERG LICENSE\nPLEASE READ THIS BEFORE YOU DISTRIBU[...]",
-  "domain": "Wiki & Books",
-  "metadata": {
-    "source-pretty": "Gutenberg"
-  }
-}
-```
-### 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 -->
-## 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}
-}
-```

 pretty_name: Gutenberg
 language:
   - da
+license: Gutenberg License
 license_name: Gutenberg License
 size_categories:
   - 1-10k
   - fill-mask
 task_ids:
   - language-modeling
 ---
 # 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 ***
+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
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+',
+        '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
 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>

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

data/hest/hest.md CHANGED Viewed

@@ -3,7 +3,7 @@ pretty_name: Hestenettet (Danish debate forum)
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 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 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
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "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)"
-  }
 }
 ```
-### 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}
-}
-```

 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 10k-100k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
+# Dataset Card for Hestenettet (Danish debate forum)
 ## Dataset Description
+- **Number of records:** 14391
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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
+CC0 1.0 Universal
+</p>
+</details>

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

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data/jvj/jvj.md CHANGED Viewed

@@ -1,9 +1,9 @@
 ---
-pretty_name: Johannes V. Jensen
 language:
   - da
 license: cc-by-sa-4.0
-license_name: CC-BY-SA 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 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
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "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)"
-  }
 }
 ```
-### 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}
-}
-```

 ---
+pretty_name: Johannes V. Jensen (Danish poet)
 language:
   - da
 license: cc-by-sa-4.0
+license_name: Creative Commons Attribution Share Alike 4.0
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
+# Dataset Card for Johannes V. Jensen (Danish poet)
 ## Dataset Description
+- **Number of records:** 42
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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/lexdk/create.py DELETED Viewed

@@ -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()

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

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@@ -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).

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

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

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data/naat/naat.md CHANGED Viewed

@@ -3,7 +3,7 @@ pretty_name: NAAT
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 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
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "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"
-  }
 }
 ```
-### 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}
-}
-```

 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
 # Dataset Card for NAAT
 ## Dataset Description
+- **Number of records:** 129
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    '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
+- **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
+CC0 1.0 Universal
+</p>
+</details>

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	@@ -1 +0,0 @@
1	- {"number_of_samples": 75219, "average_document_length": 1540.2673659580691, "number_of_tokens": 37905944, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

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Git LFS Details

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Pointer size: 131 Bytes
Size of remote file: 560 kB

data/nordjyllandnews/nordjyllandnews.md CHANGED Viewed

@@ -3,7 +3,7 @@ pretty_name: Nordjylland News
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 size_categories:
   - 10-100k
 task_categories:
@@ -11,77 +11,15 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - alexandrainst/nordjylland-news-summarization
 ---
 # Dataset Card for Nordjylland News
-<!-- START-SHORT DESCRIPTION -->
-Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk).
-<!-- END-SHORT DESCRIPTION -->
-The data is derived from the Huggingface dataset [alexandrainst/nordjylland-news-summarization](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization) originally intended for text summarization.
 ## Dataset Description
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 75.22K
-- **Number of tokens (Llama 3)**: 37.91M
-- **Average document length (characters)**: 1540.27
-<!-- END-DESC-STATS -->
-## Dataset Structure
-An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
-{
-  "text": "Lav et referat af nedenstående tekst:\n\nTekst:\nOpdatering: Manden er nu fundet af Nordjyllands Politi[...]",
-  "source": "nordjyllandnews",
-  "id": "nordjyllandnews_0",
-  "added": "2024-12-16",
-  "created": "2000-01-01, 2024-01-01",
-  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
-  "domain": "News",
-  "metadata": {
-    "source-pretty": "Nordjylland News"
-  }
-}
-```
-### 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
 ## Opportunities for Improvement
@@ -89,7 +27,3 @@ An updated version of the this data could be fetched from their [API](https://de
 # Sourced data
 This dataset is derived from [`alexandrainst/nordjylland-news-summarization`](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization)
-### Citation Information
-No citation is applicable for this work. We recommend citing the huggingface repository.

 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 10-100k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
 # Dataset Card for Nordjylland News
+source: https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization
 ## Dataset Description
+- **Number of records:** 75200
+- **Languages:** Danish
 ## Opportunities for Improvement
 # Sourced data
 This dataset is derived from [`alexandrainst/nordjylland-news-summarization`](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization)

data/opensubtitles/create.py DELETED Viewed

@@ -1,123 +0,0 @@
-from pathlib import Path
-from typing import cast
-import pandas as pd
-import spacy
-from datasets import Dataset, load_dataset
-# KCE: mail from Leon
-sample_to_redact = {
-    # Der kommer en dag
-    "opensub_6726481",
-    "opensub_6732371",
-    # Kollektivet
-    "opensub_6645818",
-    # Flaskepost fra P
-    "opensub_6666922",
-    "opensub_6720216",
-    "opensub_6958711",
-    # Fasandræberne
-    "opensub_6036947",
-    "opensub_6008622",
-    # En du elsker
-    "opensub_5828376",
-    "opensub_5828378",
-    # En chance til
-    "opensub_6177523",
-    # Lev stærkt
-    "opensub_6467655",
-    # Nymphomaniac
-    "opensub_5604391",
-    "opensub_5748340",
-    "opensub_5748494",
-    "opensub_5629516",
-    # Kvinden i buret
-    "opensub_5636248",
-    "opensub_5514603",
-    "opensub_5504932",
-    # Den skaldede frisør
-    "opensub_5084880",
-    "opensub_5031826",
-    # Jagten
-    "opensub_6929419",
-    "opensub_4885548",
-    # Melancholia
-    "opensub_4421330",
-    "opensub_4406991",
-    "opensub_4418817",
-    # Ambassadøren
-    "opensub_4557721",
-    # Antichrist
-    "opensub_5511502",
-    "opensub_3938655",
-    "opensub_3636940",
-    "opensub_3564521",
-    "opensub_3562215",
-    # En kongelig affære
-    "opensub_4725493",
-    "opensub_4725160",
-    "opensub_4725159",
-    "opensub_4916871",
-    "opensub_5186746",
-    # Brødre
-    "opensub_233943",
-    "opensub_87475",
-}
-column_order = [
-    "text",
-    "source",
-    "id",
-    "added",
-    "created",
-    "license",
-    "domain",
-    "metadata",
-]
-def convert_sample(example: dict) -> dict:
-    text = example["text"]
-    if example["doc_id"] in sample_to_redact:
-        nlp = spacy.blank("da")
-        doc = nlp(text)
-        text = doc[:200].text  # first 200 words
-    new_example = dict(
-        text_new=text,
-        id=example["doc_id"],
-        source="opensubtitles",
-        domain="Conversation",
-        license="Creative Commons Legal Code\n\nCC0 1.0 Universal",
-        added="2025-01-02",
-        created="1920-01-01, 2018-01-01",  # assuming v2018
-        metadata={"source-pretty": "OpenSubtitles"},
-    )
-    return new_example
-def main():
-    ds = load_dataset("DDSC/partial-danish-gigaword-no-twitter", split="train")
-    ds = cast(Dataset, ds)
-    ds = ds.filter(lambda x: x["source"] == "opensub", num_proc=4)
-    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])  # 2422
-    ds = ds.select(dedup_df.index)
-    assert len(set(ds["text"])) == len(ds)
-    save_path = Path(__file__).parent / "opensubtitles.parquet"
-    ds.to_parquet(save_path)
-if __name__ == "__main__":
-    main()

data/opensubtitles/descriptive_stats.json DELETED Viewed

	@@ -1 +0,0 @@
1	- {"number_of_samples": 29820, "average_document_length": 26298.017572099263, "number_of_tokens": 271599443, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/opensubtitles/images/dist_document_length.png DELETED Viewed

Git LFS Details

SHA256: cc0439ba8c58215d1cf1dcfa3dab4dd28c9f4d00065a44bba25757ee605f6425
Pointer size: 131 Bytes
Size of remote file: 550 kB

data/opensubtitles/opensubtitles.md DELETED Viewed

@@ -1,159 +0,0 @@
----
-pretty_name: OpenSubtitles
-language:
-  - da
-license: cc0-1.0
-license_name: CC-0
-task_categories:
-  - text-generation
-  - fill-mask
-task_ids:
-  - language-modeling
-source_datasets:
-  - DDSC/partial-danish-gigaword-no-twitter
----
-# Dataset Card for OpenSubtitles
-<!-- START-SHORT DESCRIPTION -->
-Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles).
-<!-- END-SHORT DESCRIPTION -->
-## Dataset Description
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 29.82K
-- **Number of tokens (Llama 3)**: 271.60M
-- **Average document length (characters)**: 26298.02
-<!-- END-DESC-STATS -->
-## Dataset Structure
-An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
-{
-  "text": "Tidligere i vikingerne...\nJeg skal gå tilbage til England.\nBurde være gået tilbage for lang tid side[...]",
-  "source": "opensubtitles",
-  "id": "opensub_6822913",
-  "added": "2025-01-02",
-  "created": "1920-01-01, 2018-01-01",
-  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
-  "domain": "Conversation",
-  "metadata": {
-    "source-pretty": "OpenSubtitles"
-  }
-}
-```
-### 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 -->
-### Additional Processing
-Due to copyright concern additional documents have been removed due to copyright concerns. These include:
-```py
-{
-    # Der kommer en dag
-    "opensub_6726481",
-    "opensub_6732371",
-    # Kollektivet
-    "opensub_6645818",
-    # Flaskepost fra P
-    "opensub_6666922",
-    "opensub_6720216",
-    "opensub_6958711",
-    # Fasandræberne
-    "opensub_6036947",
-    "opensub_6008622",
-    # En du elsker
-    "opensub_5828376",
-    "opensub_5828378",
-    # En chance til
-    "opensub_6177523",
-    # Lev stærkt
-    "opensub_6467655",
-    # Nymphomaniac
-    "opensub_5604391",
-    "opensub_5748340",
-    "opensub_5748494",
-    "opensub_5629516",
-    # Kvinden i buret
-    "opensub_5636248",
-    "opensub_5514603",
-    "opensub_5504932",
-    # Den skaldede frisør
-    "opensub_5084880",
-    "opensub_5031826",
-    # Jagten
-    "opensub_6929419",
-    "opensub_4885548",
-    # Melancholia
-    "opensub_4421330",
-    "opensub_4406991",
-    "opensub_4418817",
-    # Ambassadøren
-    "opensub_4557721",
-    # Antichrist
-    "opensub_5511502",
-    "opensub_3938655",
-    "opensub_3636940",
-    "opensub_3564521",
-    "opensub_3562215",
-    # En kongelig affære
-    "opensub_4725493",
-    "opensub_4725160",
-    "opensub_4725159",
-    "opensub_4916871",
-    "opensub_5186746",
-    # Brødre
-    "opensub_233943",
-    "opensub_87475",
-}
-```
-We have additionally removed duplicate entries from the original dataset.
-### 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/opensubtitles/opensubtitles.parquet DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1c80228f2095281e8e1ce2339a071873299dee2912f83706bf271ea782a94b39
-size 496269823

data/relig/descriptive_stats.json DELETED Viewed

	@@ -1 +0,0 @@
1	- {"number_of_samples": 66, "average_document_length": 53873.56060606061, "number_of_tokens": 1243970, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/relig/images/dist_document_length.png DELETED Viewed

Git LFS Details

SHA256: 6d49a67bfbc7b886985a767045b17b229bca49c3024af37e693bffd711aa45cc
Pointer size: 131 Bytes
Size of remote file: 531 kB

data/relig/relig.md CHANGED Viewed

@@ -3,7 +3,7 @@ pretty_name: Religious texts
 language:
   - da
 license: cc0-1.0
-license_name: CC-0
 size_categories:
   - 1-10k
 task_categories:
@@ -11,87 +11,46 @@ task_categories:
   - fill-mask
 task_ids:
   - language-modeling
-source_datasets:
-  - danish-foundation-models/danish-gigaword
 ---
 # Dataset Card for Religious texts
-<!-- START-SHORT DESCRIPTION -->
-Danish religious text from the 1700-2022.
-<!-- END-SHORT DESCRIPTION -->
 ## Dataset Description
-<!-- START-DESC-STATS -->
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 66
-- **Number of tokens (Llama 3)**: 1.24M
-- **Average document length (characters)**: 53873.56
-<!-- END-DESC-STATS -->
-## Dataset Structure
 An example from the dataset looks as follows.
-<!-- START-SAMPLE -->
-```py
 {
-  "text": "Salomos Højsang\nKys mig, giv mig Kys af din mund thi din Kærlighed er bedre end Vin.\nLifligt dufter [...]",
-  "source": "relig",
-  "id": "relig_SON",
-  "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": "Religious texts"
-  }
 }
 ```
-### 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}
-}
-```

 language:
   - da
 license: cc0-1.0
+license_name: Creative Commons Zero v1.0 Universal
 size_categories:
   - 1-10k
 task_categories:
   - fill-mask
 task_ids:
   - language-modeling
 ---
 # Dataset Card for Religious texts
 ## Dataset Description
+- **Number of records:** 66
+- **Languages:** Danish
+## Dataset Sturcture
 An example from the dataset looks as follows.
+```yaml
 {
+    'text': 'Salomos Højsang
+Kys mig, giv mig Kys af din mund t',
+    'source': 'relig',
+    'id': 'relig_SON',
+    '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': 'Religious texts'
+        }
 }
 ```
+## 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 Zero v1.0 Universal</summary>
+<p>
+Creative Commons Legal Code
+CC0 1.0 Universal
+</p>
+</details>