ncc

CHANGELOG.md

@@ -5,27 +5,6 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
-## [v1.1.0] - 2025-04-29
-
-### Added
-
-- Added multiple quality controls
-  - Removed all empty string
-  - Removed duplicates across within datasets
-  - Removed 
-- Restructured datasets
-  - Removed columns from the dataset to make the structure more lightweight, these include domain, metadata, and license. These have been moved to the individual datasheets. It is still possible to filter for license by using the dataset name
-  - Added column for number of tokens
-- For developers
-  - Restructered CI codebase substantially
-    - Added `DataSheet` to make CI for convenient 
-    - factored out plots and tables
-
-### Docs
-
-- Sorted overview table
-- Minor changes to dataset documentation
-
 
 ## [v1.0.12] - 2025-05-08
 
@@ -53,4 +32,4 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Sorted main table in readme
 - Added Changelog
-- Minor changes to dataset documentation 
+- Minor changs to 

README.md

@@ -4,7 +4,7 @@ configs:
 - config_name: default
   data_files:
   - split: train
-    path: data/*/*.parquet
+    path: 'data/*/*.parquet'
 - config_name: ai-aktindsigt
   data_files:
   - split: train
@@ -17,22 +17,6 @@ configs:
   data_files:
   - split: train
     path: data/danske-taler/*.parquet
-- config_name: ncc_books
-  data_files:
-  - split: train
-    path: data/ncc_books/*.parquet
-- config_name: ncc_newspaper
-  data_files:
-  - split: train
-    path: data/ncc_newspaper/*.parquet
-- config_name: ncc_maalfrid
-  data_files:
-  - split: train
-    path: data/ncc_maalfrid/*.parquet
-- config_name: ncc_parliament
-  data_files:
-  - split: train
-    path: data/ncc_parliament/*.parquet
 - config_name: eur-lex-sum-da
   data_files:
   - split: train
@@ -141,6 +125,22 @@ configs:
   data_files:
   - split: train
     path: data/nota/*.parquet
+- config_name: ncc_newspapers
+  data_files:
+  - split: train
+    path: data/ncc_newspapers/*.parquet
+- config_name: ncc_books
+  data_files:
+  - split: train
+    path: data/ncc_books/*.parquet
+- config_name: ncc_maalfrid
+  data_files:
+  - split: train
+    path: data/ncc_maalfrid/*.parquet
+- config_name: ncc_parliament
+  data_files:
+  - split: train
+    path: data/ncc_parliament/*.parquet
 annotations_creators:
 - no-annotation
 language_creators:
@@ -174,14 +174,12 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
 <!-- START README TABLE -->
 |              |                                                                                                                                                             |
 | ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Version**  | 1.1.0 ([Changelog](/CHANGELOG.md))                                                                                                                          |
+| **Version** | 1.0.12 ([Changelog](/CHANGELOG.md)) |
 | **Language** | dan, dansk, Danish                                                                                                                                          |
-| **License**  | Openly Licensed, See the respective dataset                                                                                                                 |
+| **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) |
 
-
-
 <!-- END README TABLE -->
 
 ## Table of Contents
@@ -199,22 +197,19 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
     - [Curation Rationale](#curation-rationale)
     - [Annotations](#annotations)
     - [Source Data](#source-data)
-    - [Data Collection and Processing](#data-collection-and-processing)
     - [Dataset Statistics](#dataset-statistics)
+  - [Additional Information](#additional-information)
     - [Contributing to the dataset](#contributing-to-the-dataset)
-  - [Citation Information](#citation-information)
-  - [License information](#license-information)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
+    - [Citation Information](#citation-information)
     - [Notice and takedown policy](#notice-and-takedown-policy)
-  - [We will comply with legitimate requests by removing the affected sources from the next release of the corpus](#we-will-comply-with-legitimate-requests-by-removing-the-affected-sources-from-the-next-release-of-the-corpus)
 
 ## Dataset Description
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Number of samples**: 891.08K
-- **Number of tokens (Llama 3)**: 4.26B
-- **Average document length (characters)**: 14755.73
+- **Number of samples**: 588.92K
+- **Number of tokens (Llama 3)**: 1.85B
+- **Average document length (characters)**: 9245.09
 <!-- END-DESC-STATS -->
 
 
@@ -272,12 +267,16 @@ Each entry in the dataset consists of a single text with associated metadata
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "adl_aakjaer06val",
   "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",
-  "token_count": 439908
+  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
+  "domain": "Wiki & Books",
+  "metadata": {
+    "source-pretty": "Archive for Danish Literature"
+  }
 }
 ```
 
@@ -285,12 +284,15 @@ Each entry in the dataset consists of a single text with associated metadata
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `license` (`str`): The license of the document. The licenses vary according to the source. 
+- `domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The long form version of the short-form source name
+- `metadata/*`: Potentially additional metadata
 <!-- END-SAMPLE -->
 
 ### Data Splits
@@ -301,7 +303,7 @@ The entire corpus is provided in the `train` split.
 
 ### Curation Rationale
 
-These datasets were collected and curated with the intention of making openly license Danish data available. While this was collected with the intention of developing language models it is likely to have multiple other uses such as examining language development and differences across domains. 
+These datasets were collected and curated with the intention of making large quantities of Danish text data available. While this was collected with the intention of developing language models it is likely to have multiple other uses such as examining language development and differences across domains. 
 
 ### Annotations
 
@@ -312,51 +314,43 @@ 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                                                                                                                                                       | Domain       | N. Tokens   | License                |
-|:--------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------|:------------|:-----------------------|
-| [cellar]            | The official digital repository for European Union legal documents and open data                                                                                  | Legal        | 1.15B       | [CC-BY-SA 4.0]         |
-| [ncc_books]         | Danish books extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from OCR                                         | Books        | 531.97M     | [CC-0]                 |
-| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark                                      | Legal        | 516.35M     | [Danish Copyright Law] |
-| [hest]              | Samples from the Danish debate forum www.heste-nettet.dk                                                                                                          | Social Media | 389.32M     | [CC-0]                 |
-| [ncc_parliament]    | Collections from the Norwegian parliament in Danish. Extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from ocr | Other        | 338.87M     | [NLOD 2.0]             |
-| [opensubtitles]     | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                                                             | Conversation | 271.60M     | [CC-0]                 |
-| [ai-aktindsigt]     | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project                                      | Web          | 139.23M     | [Apache 2.0]           |
-| [miljoeportalen]    | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal)                                          | Web          | 127.38M     | [CC-0]                 |
-| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                                                          | Legal        | 122.11M     | [CC-0]                 |
-| [wiki]              | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                                                     | Encyclopedic | 122.00M     | [CC-0]                 |
-| [ft]                | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall                                                                           | Conversation | 114.09M     | [CC-0]                 |
-| [ep]                | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/)                                                                            | Conversation | 100.84M     | [CC-0]                 |
-| [adl]               | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)                                                                                     | Books        | 58.49M      | [CC-0]                 |
-| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                                                     | Legal        | 56.26M      | [CC-0]                 |
-| [fm-udgivelser]     | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents                     | Legal        | 50.34M      | [CC-BY-SA 4.0]         |
-| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                                                             | News         | 37.90M      | [CC-0]                 |
-| [eur-lex-sum-da]    | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries                                                    | Legal        | 31.37M      | [CC-BY-SA 4.0]         |
-| [ncc_maalfrid]      | Danish content from Norwegian institutions websites                                                                                                               | Web          | 29.26M      | [NLOD 2.0]             |
-| [tv2r]              | Contemporary Danish newswire articles published between 2010 and 2019                                                                                             | News         | 21.67M      | [CC-BY-SA 4.0]         |
-| [memo]              | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough                                                   | Books        | 9.28M       | [CC-BY-SA 4.0]         |
-| [danske-taler]      | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk)                                                                                                 | Conversation | 8.23M       | [CC-0]                 |
-| [nota]              | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset                                               | Readaloud    | 7.30M       | [CC-0]                 |
-| [gutenberg]         | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                                                         | Books        | 6.76M       | [Gutenberg]            |
-| [wikibooks]         | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                                                                   | Books        | 6.24M       | [CC-0]                 |
-| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                                                                   | Encyclopedic | 5.34M       | [CC-0]                 |
-| [jvj]               | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen)                                                   | Books        | 3.55M       | [CC-BY-SA 4.0]         |
-| [spont]             | Conversational samples collected as a part of research projects at Aarhus University                                                                              | Conversation | 1.56M       | [CC-0]                 |
-| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                                                                  | Other        | 1.48M       | [DanNet 1.0]           |
-| [relig]             | Danish religious text from the 1700-2022                                                                                                                          | Books        | 1.24M       | [CC-0]                 |
-| [ncc_newspaper]     | OCR'd Newspapers derived from [NCC](https://huggingface.co/datasets/NbAiLab/NCC)                                                                                  | News         | 1.05M       | [CC-0]                 |
-| [botxt]             | The Bornholmsk Ordbog Dictionary Project                                                                                                                          | Dialect      | 847.97K     | [CC-0]                 |
-| [naat]              | Danish speeches from 1930-2022                                                                                                                                    | Conversation | 286.68K     | [CC-0]                 |
-| [depbank]           | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT)                                            | Other        | 185.45K     | [CC-BY-SA 4.0]         |
-| [synne]             | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk                                           | Other        | 52.02K      | [CC-0]                 |
-| **Total**           |                                                                                                                                                                   |              | 4.26B       |                        |
+| Source              | Description                                                                                                                                   | N. Tokens   | License                |
+|:--------------------|:----------------------------------------------------------------------------------------------------------------------------------------------|:------------|:-----------------------|
+| [synne]             | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk                       | 52.51K      | [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]                 |
+| [botxt]             | The Bornholmsk Ordbog Dictionary Projec                                                                                                       | 847.97K     | [CC-0]                 |
+| [relig]             | Danish religious text from the 1700-2022                                                                                                      | 1.24M       | [CC-0]                 |
+| [dannet]            | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet                                                                              | 1.52M       | [DanNet 1.0 License]   |
+| [spont]             | Conversational samples collected as a part of research projects at Aarhus University                                                          | 1.56M       | [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]         |
+| [wikisource]        | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page)                                                               | 5.34M       | [CC-0]                 |
+| [wikibooks]         | The Danish Subsection of [Wikibooks](https://www.wikibooks.org)                                                                               | 6.24M       | [CC-0]                 |
+| [gutenberg]         | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org)                                                                     | 6.76M       | [Gutenberg License]    |
+| [nota]              | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset                           | 7.30M       | [CC-0]                 |
+| [danske-taler]      | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk                                                                              | 8.23M       | [CC-0]                 |
+| [memo]              | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough                               | 9.28M       | [CC-BY-SA 4.0]         |
+| [tv2r]              | Contemporary Danish newswire articles published between 2010 and 2019                                                                         | 21.67M      | [CC-BY-SA 4.0]         |
+| [eur-lex-sum-da]    | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries                                | 31.37M      | [CC-BY-SA 4.0]         |
+| [nordjyllandnews]   | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk)                                                                         | 37.91M      | [CC-0]                 |
+| [fm-udgivelser]     | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents | 50.34M      | [CC-BY-SA 4.0]         |
+| [retspraksis]       | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis)                                 | 57.08M      | [CC-0]                 |
+| [adl]               | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL)                                                                 | 58.49M      | [CC-0]                 |
+| [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]                 |
+| [wiki]              | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page)                                                                 | 122.00M     | [CC-0]                 |
+| [skat]              | Skat is the Danish tax authority. This dataset contains content from its website skat.dk                                                      | 122.12M     | [CC-0]                 |
+| [miljoeportalen]    | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal                       | 128.48M     | [CC-0]                 |
+| [ai-aktindsigt]     | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project                  | 139.23M     | [Apache 2.0]   |
+| [opensubtitles]     | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles)                                         | 271.60M     | [CC-0]                 |
+| [hest]              | Samples from the Danish debate forum www.heste-nettet.dk                                                                                      | 389.33M     | [CC-0]                 |
+| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark                  | 516.54M     | [Danish Copyright Law] |
+| [cellar]            | The official digital repository for European Union legal documents and open data                                                              | 1.28B       | [CC-BY-SA 4.0]         |
+| **Total**           |                                                                                                                                               | 3.49B       |                        |
 
 [ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
 [cellar]: data/cellar/cellar.md
 [danske-taler]: data/danske-taler/danske-taler.md
-[ncc_books]: data/ncc_books/ncc_books.md
-[ncc_newspaper]: data/ncc_newspaper/ncc_newspaper.md
-[ncc_maalfrid]: data/ncc_maalfrid/ncc_maalfrid.md
-[ncc_parliament]: data/ncc_parliament/ncc_parliament.md
 [eur-lex-sum-da]: data/eur-lex-sum-da/eur-lex-sum-da.md
 [miljoeportalen]: data/miljoeportalen/miljoeportalen.md
 [fm-udgivelser]: data/fm-udgivelser/fm-udgivelser.md
@@ -384,79 +378,50 @@ Below follows a brief overview of the sources in the corpus along with their ind
 [nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
 [relig]: data/relig/relig.md
 [nota]: data/nota/nota.md
+[ncc_newspaper]: data/ncc_newspaper/ncc_newspaper.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
+[CC-BY-SA 3.0]: https://creativecommons.org/licenses/by-sa/3.0/
 [Apache 2.0]: https://www.apache.org/licenses/LICENSE-2.0
-[NLOD 2.0]: ./data/ncc_maalfrid/ncc_maalfrid.md#license-information
-[NLOD 2.0]: ./data/ncc_parliament/ncc_parliament.md#license-information
 [Danish Copyright Law]: ./data/retsinformationdk/retsinformationdk.md#license-information
-[DanNet 1.0]: ./data/dannet/dannet.md#license-information
-[Gutenberg]: ./data/gutenberg/gutenberg.md#license-information
-<!-- END-MAIN TABLE -->
+[DanNet 1.0 License]: ./data/dannet/dannet.md#license-information
+[Gutenberg License]: ./data/gutenberg/gutenberg.md#license-information
+[NLOD 2.0]: https://data.norge.no/nlod/en/2.0
 
+<!-- END-MAIN TABLE -->
 
-You can learn more about each dataset by pressing the link in the first column.
 
+You can learn more about each dataset by pressing the link.
 
-### Data Collection and Processing
+<!-- ### Quality Control
 
-The data collection and processing varies depending on the dataset and is documentationed the individual datasheets, which is linked in the above table. If possible the collection is documented both in the datasheet and in the reproducible script (`data/{dataset}/create.py`).
+Dynaword performs quality checks along with each PR. These quality checks includes:
+- ensuring unique ids
+TODO:
+- checking for duplicates 
+-->
 
-In addition to data specific processing we also run a series automated quality checks to ensure formatting (e.g. ensuring correctly formatted columns and unique IDs), quality checks (e.g. duplicate and empty string detection) and datasheet documentation checks. These checks are there to ensure a high quality of documentation and a minimal level of quality. To allow for the development of novel cleaning methodologies we do not provide more extensive cleaning.
 
 
 ### Dataset Statistics
-The following plot show the domains distribution of the following within the dynaword:
-
-<p align="center">
-<img src="./images/domain_distribution.png" width="400" style="margin-right: 10px;" />
-</p>
 
-
-
-<details>
-<summary>Per dataset histograms</summary>
 <!-- START-DATASET PLOTS -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
-</details>
-
 
 
+## Additional Information
 
 ### Contributing to the dataset
 
 We welcome contributions to the dataset such as new sources, better data filtering and so on. To get started on contributing please see [the contribution guidelines](CONTRIBUTING.md)
 
-## Citation Information
-
-We are currently working on a paper on Danish Dynaword, however if you do you Danish Dynaword we recommend citiing the following:
-> Enevoldsen, K., Jensen, K. N., Kostkan, J., Szabó, B., Vahlstrup, P., Dalum, P. M., Elliot, D., & Nielbo, K. (2023). Dynaword: From One-shot to Continuously Developed Datasets. Hugging Face. https://huggingface.co/datasets/danish-foundation-models/danish-dynaword
-
-
-```
-@misc{enevoldsen2023dynaword,
-  title = {Dynaword: From One-shot to Continuously Developed Datasets},
-  author = {Enevoldsen, Kenneth and Jensen, Kristian N{\o}rgaaard and Kostkan, Jan and Szab\'{o}, Bal\'{a}zs and Vahlstrup, Peter and Dalum, Per M{\o}ldrup and Elliot, Desmond and Nielbo, Kristoffer},
-  year = {2023},
-  howpublished = {Hugging Face Dataset},
-  url = {https://huggingface.co/datasets/danish-foundation-models/danish-dynaword}
-}
-```
-
-In addition we recommend that you cite the relevant source datasets as well. See the individual datasheets for more information.
-
-## License information
-
-The license for each constituent dataset is supplied in the [Source data](#source-data) table. This license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under [CC-0](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
-
-### Personal and Sensitive Information
+### Citation Information
 
-As far as we are aware the dataset does not contain information identifying sexual orientation, political beliefs, religion, or health connected with utterer ID. In case that such information is present in the data we have been removed utterer information from social media content.
+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.
 
 ###  Notice and takedown policy
 We redistribute files shared with us under a license permitting such redistribution. If you have concerns about the licensing of these files, please [contact us](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new). If you consider that the data contains material that infringe your copyright, please:
@@ -464,7 +429,7 @@ We redistribute files shared with us under a license permitting such redistribut
 - Clearly reference the original work claimed to be infringed
 - Clearly identify the material claimed to be infringing and information reasonably sufficient to allow us to locate the material.
 You can contact us through this channel.
-We will comply with legitimate requests by removing the affected sources from the next release of the corpus
+We will comply with legitimate requests by removing the affected sources from the next release of the corpus.
 
 ---
 
@@ -473,4 +438,4 @@ We will comply with legitimate requests by removing the affected sources from th
     <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>
+</h3>

data/adl/adl.md

@@ -1,20 +1,18 @@
 ---
-pretty_name: Archive for Danish Literature
+pretty_name:  Archive for Danish Literature
 language:
-- da
+  - da
 license: cc0-1.0
 license_name: CC-0
 size_categories:
-- 1-10k
+  - 1-10k
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
+  - language-modeling
 source_datasets:
-- danish-foundation-models/danish-gigaword
-domains:
-- Books
+  - danish-foundation-models/danish-gigaword
 ---
 
 # Dataset Card for Archive for Danish Literature
@@ -22,19 +20,13 @@ domains:
 ## Dataset Description
 
 <!-- START-SHORT DESCRIPTION -->
-Danish literature from 1700-2023 from the [Archive for Danish Literature](https://tekster.kb.dk/text?editorial=no&f%5Bsubcollection_ssi%5D%5B%5D=adl&match=one&search_field=Alt) (ADL).
+Danish literature from 1700-2023 from the Archive for Danish Literature (ADL).
 <!-- END-SHORT DESCRIPTION -->
 
-Archive for Danish Literature (ADL) is a literary-historical collection of selected parts of older Danish literature, from the Middle Ages up to the mid-20th century.
-It provides access to both the texts and introductory material on most of the authors. ADL is a resource for research, teaching, and broad dissemination of older Danish
-literature. Currently, ADL contains works by 78 authors. The texts are reproduced from standard printed editions. All texts are searchable, and many can also be viewed as facsimiles (photographs of the original edition) 
-on the Danish Royal Library's [website](https://tekster.kb.dk/text?editorial=no&f%5Bsubcollection_ssi%5D%5B%5D=adl&match=one&search_field=Alt). 
-
-See also dataset [entry](https://sprogteknologi.dk/dataset/public-adl-text-sources) on sprogteknologi.dk and an [API](https://rawgit.com/Det-Kongelige-Bibliotek/access-digital-objects/master/form-demos/adl-form.html).
+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
-- **Domains**: Books
 - **Number of samples**: 498
 - **Number of tokens (Llama 3)**: 58.49M
 - **Average document length (characters)**: 324932.24
@@ -49,12 +41,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "adl_aakjaer06val",
   "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",
-  "token_count": 439908
+  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
+  "domain": "Wiki & Books",
+  "metadata": {
+    "source-pretty": "Archive for Danish Literature"
+  }
 }
 ```
 
@@ -62,12 +58,15 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
 
 
@@ -75,9 +74,8 @@ An entry in the dataset consists of the following fields:
 ### Dataset Statistics
 
 <!-- START-DATASET PLOTS -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 

data/adl/adl.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7511f1ff1da6a3c04148ca5bd0395d9e2e702520b0c0bf3c8774428b5dc27f7f
-size 106403262
+oid sha256:5af9444529d92c37f35161829c652f8b928f9f1dfb5836065f320d1e1d698818
+size 106401744

data/adl/descriptive_stats.json

@@ -1,6 +1 @@
-{
-  "number_of_samples": 498,
-  "average_document_length": 324932.2429718876,
-  "number_of_tokens": 58493311,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
-}
+{"number_of_samples": 498, "average_document_length": 324932.2429718876, "number_of_tokens": 58493311, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/ai-aktindsigt/ai-aktindsigt.md

@@ -1,18 +1,16 @@
 ---
 pretty_name: AI Aktindsigt
 language:
-- da
+  - da
 license: apache-2.0
-license_name: Apache 2.0
+license_name: Apache License 2.0
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
-domains:
-- Web
+  - language-modeling
 source_datasets:
-- AI-aktindsigt/Skrabet_kommunale_hjemmesider
+  - AI-aktindsigt/Skrabet_kommunale_hjemmesider
 ---
 
 # Dataset Card for AI Aktindsigt
@@ -28,7 +26,6 @@ The dataset consists of multiple scrapes of municipal websites compiled in conne
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Web
 - **Number of samples**: 200.91K
 - **Number of tokens (Llama 3)**: 139.23M
 - **Average document length (characters)**: 2030.75
@@ -42,12 +39,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "ai-aktindsigt_0",
   "text": "Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000",
   "source": "ai-aktindsigt",
+  "id": "ai-aktindsigt_0",
   "added": "2025-03-24",
   "created": "2010-01-01, 2024-03-18",
-  "token_count": 29
+  "license": "Apache-2.0",
+  "domain": "Web",
+  "metadata": {
+    "source-pretty": "AI Aktindsigt"
+  }
 }
 ```
 
@@ -55,21 +56,23 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 
@@ -84,4 +87,4 @@ This dataset is derived from [`AI-aktindsigt/Skrabet_kommunale_hjemmesider`](htt
 
 ### Citation Information
 
-No citation is applicable for this work. We recommend citing the huggingface repository.
+No citation is applicable for this work. We recommend citing the huggingface repository.

data/ai-aktindsigt/ai-aktindsigt.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2554e61d9924e4f1b6a5df33a1bdf33cef91137a69ae9f75bd79755d2815c52e
-size 214499633
+oid sha256:b395bdf2fe3c9f7beb8b7073a1aea72952237e2a63965302ebd199ca46af632a
+size 213799195

data/ai-aktindsigt/descriptive_stats.json

@@ -2,5 +2,6 @@
   "number_of_samples": 200914,
   "average_document_length": 2030.7490916511542,
   "number_of_tokens": 139234696,
-  "revision": "d36009a401d1c1081fb7607d2d3159a20c4a356e"
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
 }

data/botxt/botxt.md

@@ -1,21 +1,18 @@
 ---
 pretty_name: Bornholmsk
 language:
-- da
+  - da
 license: cc0-1.0
 license_name: CC-0
 size_categories:
-- 1-10k
+  - 1-10k
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
-domains:
-- Dialect
-- Web
+  - language-modeling
 source_datasets:
-- danish-foundation-models/danish-gigaword
+  - danish-foundation-models/danish-gigaword
 ---
 
 # Dataset Card for Bornholmsk 
@@ -31,7 +28,6 @@ Fictional texts of various kinds written in Bornholmsk, the dialect spoken on th
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Dialect, Web
 - **Number of samples**: 106
 - **Number of tokens (Llama 3)**: 847.97K
 - **Average document length (characters)**: 18972.42
@@ -46,12 +42,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "botxt_0000040",
   "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",
-  "token_count": 7229
+  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
+  "domain": "Other",
+  "metadata": {
+    "source-pretty": "Bornholmsk (Danish dialect)"
+  }
 }
 ```
 
@@ -59,20 +59,22 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 

data/botxt/botxt.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9948ed3d6cfd26c57086eacee83097f7abb8f8b95ae1639b5e17b1025ebdfb5e
-size 1343525
+oid sha256:ec89c1dd57f1987dc6fe059a33a1d16b41b8c87439673a381f9671497f65b017
+size 1344033

data/botxt/descriptive_stats.json

@@ -1,6 +1 @@
-{
-  "number_of_samples": 106,
-  "average_document_length": 18972.415094339623,
-  "number_of_tokens": 847973,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
-}
+{"number_of_samples": 106, "average_document_length": 18972.415094339623, "number_of_tokens": 847973, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/cellar/cellar.md

@@ -1,16 +1,14 @@
 ---
 pretty_name: Cellar
 language:
-- da
+  - da
 license: cc-by-sa-4.0
 license_name: CC-BY-SA 4.0
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
-domains:
-- Legal
+  - language-modeling
 ---
 
 # Dataset Card for Finansministeriets Udgivelser
@@ -26,10 +24,9 @@ The EU Dataset Cellar serves as the central access point for all official EU pub
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Legal
-- **Number of samples**: 63.40K
-- **Number of tokens (Llama 3)**: 1.15B
-- **Average document length (characters)**: 60987.84
+- **Number of samples**: 65.74K
+- **Number of tokens (Llama 3)**: 1.28B
+- **Average document length (characters)**: 64221.30
 <!-- END-DESC-STATS -->
 
 
@@ -40,12 +37,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "cellar_0",
   "text": "\n\n\n\n© Европейски съюз, 2017 г.\n\nВъзпроизвеждането е разрешено при позоваване на оригинала.\n\n© Unión [...]",
   "source": "cellar",
+  "id": "cellar_0",
   "added": "2025-03-25",
   "created": "2024-01-01, 2026-01-01",
-  "token_count": 87018
+  "license": "cc-by-sa-4.0",
+  "domain": "Legal",
+  "metadata": {
+    "source-pretty": "Cellar"
+  }
 }
 ```
 
@@ -53,21 +54,23 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 
@@ -76,4 +79,4 @@ An entry in the dataset consists of the following fields:
 
 ### Citation Information
 
-No citation is applicable for this work.
+No citation is applicable for this work.

data/cellar/cellar.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6162a90362e286ebc66a8344f39c3fbc835dec85f3e1d51318b7b39181ef4709
-size 1426079196
+oid sha256:90fb4cadd0d6ab84c7e1c6e9029210e0bfadaa1d9a503240067d4069d38b9bcd
+size 1433372916

data/cellar/descriptive_stats.json

@@ -1,6 +1,7 @@
 {
-  "number_of_samples": 63399,
-  "average_document_length": 60987.84318364643,
-  "number_of_tokens": 1152074881,
-  "revision": "d36009a401d1c1081fb7607d2d3159a20c4a356e"
+  "number_of_samples": 65736,
+  "average_document_length": 64221.30202628697,
+  "number_of_tokens": 1280909738,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
 }

data/dannet/dannet.md

@@ -1,20 +1,18 @@
 ---
 pretty_name: DanNet
 language:
-- da
+  - da
 license: other
-license_name: DanNet 1.0
+license_name: DanNet 1.0 License
 size_categories:
-- 10k-100k
+  - 10k-100k
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
+  - language-modeling
 source_datasets:
-- danish-foundation-models/danish-gigaword
-domains:
-- Other
+  - danish-foundation-models/danish-gigaword
 ---
 
 # Dataset Card for DanNet 
@@ -32,10 +30,9 @@ A WordNet is a lexico-semantic network which show the meaning and the relation b
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Other
-- **Number of samples**: 47.60K
-- **Number of tokens (Llama 3)**: 1.48M
-- **Average document length (characters)**: 90.88
+- **Number of samples**: 49.04K
+- **Number of tokens (Llama 3)**: 1.52M
+- **Average document length (characters)**: 90.80
 <!-- END-DESC-STATS -->
 
 
@@ -47,12 +44,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "dannet_46506",
   "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",
-  "token_count": 50
+  "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)"
+  }
 }
 ```
 
@@ -60,21 +61,23 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 
@@ -129,14 +132,6 @@ DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish
 
 ## Additional Information
 
-<!-- TODO:
-Add issue on:
-
-Potential improvements for dannet
-
-I imagine that there is a lot of information in DanNet
-that could be used to create training datasets for LLMs (more than what is already present)
- -->
 
 ### Citation Information
 

data/dannet/dannet.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ce98e55703f16406d9b3591297c7b860fa770c9ae55c4795bb7a50921619e43
-size 3918876
+oid sha256:b9006617e35f568e7b7e4dacc87c4a490cf0a9170bd4e91488de77e00d3fb38c
+size 4487008

data/dannet/descriptive_stats.json

@@ -1,6 +1 @@
-{
-  "number_of_samples": 47603,
-  "average_document_length": 90.87914627229377,
-  "number_of_tokens": 1479471,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
-}
+{"number_of_samples": 49040, "average_document_length": 90.80340538336053, "number_of_tokens": 1523416, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/danske-taler/create.py

@@ -97,16 +97,12 @@ def fetch_license_div(
             retries += 1
 
             if retries > max_retries:
-                logger.info(
-                    f"Failed to fetch license after {max_retries} attempts: {str(e)}"
-                )
+                logger.info(f"Failed to fetch license after {max_retries} attempts: {str(e)}")
                 return None
 
             # Calculate backoff time using exponential backoff
             wait_time = backoff_factor * (2 ** (retries - 1))
-            logger.info(
-                f"Attempt {retries} failed. Retrying in {wait_time:.2f} seconds..."
-            )
+            logger.info(f"Attempt {retries} failed. Retrying in {wait_time:.2f} seconds...")
             time.sleep(wait_time)
 
     return None

data/danske-taler/danske-taler.md

@@ -1,24 +1,20 @@
 ---
 pretty_name: Danske Taler
 language:
-- da
+  - da
 license: cc0-1.0
 license_name: CC-0
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
-domains:
-- Conversation
-- Speeches
-- Spoken
+  - language-modeling
 ---
 
-# Dataset Card for Danske Taler
+# Dataset Card for Nordjylland News
 
 <!-- START-SHORT DESCRIPTION -->
-Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk).
+Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk)
 <!-- END-SHORT DESCRIPTION -->
 
 
@@ -36,10 +32,9 @@ Learn more about danske taler by reading their [about us](https://www.dansketale
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Conversation, Speeches, Spoken
 - **Number of samples**: 2.66K
 - **Number of tokens (Llama 3)**: 8.23M
-- **Average document length (characters)**: 9446.26
+- **Average document length (characters)**: 9446.88
 <!-- END-DESC-STATS -->
 
 
@@ -50,12 +45,18 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "danske-taler_278",
   "text": "Den 1. august i år var der forløbet 25 år siden den sidste verdenskrigs udbrud. En måned senere - de[...]",
   "source": "danske-taler",
-  "added": "2025-03-29",
-  "created": "1939-09-20, 1939-09-20",
-  "token_count": 14115
+  "id": "danske-taler_278",
+  "added": "2025-03-28",
+  "created": "1939-09-20T00:00:00Z, 1939-09-20T23:59:59Z",
+  "license": "cc0",
+  "license_information": "Materialet er fri af ophavsret",
+  "domain": "Spoken",
+  "metadata": {
+    "source-pretty": "Danske Taler"
+  },
+  "__index_level_0__": 20
 }
 ```
 
@@ -63,21 +64,23 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 
@@ -132,4 +135,4 @@ For specific filtering criteria see the `create.py` script.
 
 ### Citation Information
 
-No citation is applicable for this work. We recommend citing the huggingface repository.
+No citation is applicable for this work. We recommend citing the huggingface repository.

data/danske-taler/danske-taler.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bcb369ce210815cdadad81f6cda59b5f06c6eedb6523a4851a2969999a6b1665
-size 15084153
+oid sha256:541b5692b2f9cd0a35eb179f2b1ec6786f819ac9f16c9d3c67f5265fc458cbdc
+size 15090122

data/danske-taler/descriptive_stats.json

@@ -1,6 +1,7 @@
 {
-  "number_of_samples": 2658,
-  "average_document_length": 9446.262227238525,
-  "number_of_tokens": 8227947,
-  "revision": "d36009a401d1c1081fb7607d2d3159a20c4a356e"
+  "number_of_samples": 2657,
+  "average_document_length": 9446.875799774181,
+  "number_of_tokens": 8225350,
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
 }

data/depbank/depbank.md

@@ -1,20 +1,18 @@
 ---
 pretty_name: Danish Dependency Treebank
 language:
-- da
+  - da
 license: cc-by-sa-4.0
 license_name: CC-BY-SA 4.0
 size_categories:
-- 1-10k
+  - 1-10k
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
+  - language-modeling
 source_datasets:
-- danish-foundation-models/danish-gigaword
-domains:
-- Other
+  - danish-foundation-models/danish-gigaword
 ---
 
 # Dataset Card for Danish Dependency Treebank
@@ -33,7 +31,6 @@ While the dataset was initially intended as a rich annotation, this corpora only
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Other
 - **Number of samples**: 536
 - **Number of tokens (Llama 3)**: 185.45K
 - **Average document length (characters)**: 1018.90
@@ -48,12 +45,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "depbank_0375",
   "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",
-  "token_count": 389
+  "license": "Attribution-ShareAlike 4.0 International",
+  "domain": "Other",
+  "metadata": {
+    "source-pretty": "Danish Dependency Treebank"
+  }
 }
 ```
 
@@ -61,44 +62,29 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 
 
 ## Additional Information
 
-<!-- TODO:
-Add issue on:
-
-Potential improvements for depbank:
-1) Pull directly from depbank
-2) Compute texts into documents (seems like that is already done)
-3) Add synthetic data instruction dataset
-- NER: What are the following names in this sentence
-  - json output, html annotation, list at the end
-- POS: 
-  - Extract all POS-tags from the following sentence
-  - Find all NOUNS in the following text
-  - What POS tag does the ..
-- Tokenization:
-  - split the following text into tokens
-- ...
- -->
 
 ### Citation Information
 

data/depbank/depbank.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86febe315dae1089432da27d7b0c96a9a9bc0920d030563a35680416ac231e6f
-size 392289
+oid sha256:3d4172e2ab4d7256ca5b76ad45b4d7326616e6679642056fdef20c5e3a8b1c62
+size 392216

data/depbank/descriptive_stats.json

@@ -1,6 +1 @@
-{
-  "number_of_samples": 536,
-  "average_document_length": 1018.8992537313433,
-  "number_of_tokens": 185454,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
-}
+{"number_of_samples": 536, "average_document_length": 1018.8992537313433, "number_of_tokens": 185454, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/ep/descriptive_stats.json

@@ -1,6 +1 @@
-{
-  "number_of_samples": 3930,
-  "average_document_length": 79360.11628498728,
-  "number_of_tokens": 100841366,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
-}
+{"number_of_samples": 4213, "average_document_length": 74063.40469973891, "number_of_tokens": 100888932, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/ep/ep.md

@@ -1,21 +1,18 @@
 ---
 pretty_name: European Parliament
 language:
-- da
+  - da
 license: cc0-1.0
 license_name: CC-0
 size_categories:
-- 1-10k
+  - 1-10k
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
+  - language-modeling
 source_datasets:
-- danish-foundation-models/danish-gigaword
-domains:
-- Conversation
-- Spoken
+  - danish-foundation-models/danish-gigaword
 ---
 
 # Dataset Card for European Parliament
@@ -33,10 +30,9 @@ The europarl is a corpus of parallel text in 11 languages from the proceedings o
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Conversation, Spoken
-- **Number of samples**: 3.93K
-- **Number of tokens (Llama 3)**: 100.84M
-- **Average document length (characters)**: 79360.12
+- **Number of samples**: 4.21K
+- **Number of tokens (Llama 3)**: 100.89M
+- **Average document length (characters)**: 74063.40
 <!-- END-DESC-STATS -->
 
 
@@ -48,12 +44,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "ep_07-02-01-008",
   "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",
-  "token_count": 16237
+  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
+  "domain": "Conversation",
+  "metadata": {
+    "source-pretty": "European Parliament"
+  }
 }
 ```
 
@@ -61,20 +61,22 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 

data/ep/ep.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59b66509c2456a50d1831d75b69c263684a1a207a44191f7eea2353909816839
-size 170737571
+oid sha256:f76e86335bd765b3ff3cf5ccdfe8f220e39349a0344fdf2b9918adbdd96aedeb
+size 170796385

data/eur-lex-sum-da/descriptive_stats.json

@@ -2,5 +2,6 @@
   "number_of_samples": 1002,
   "average_document_length": 87627.37025948103,
   "number_of_tokens": 31367665,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
 }

data/eur-lex-sum-da/eur-lex-sum-da.md

@@ -1,16 +1,14 @@
 ---
 pretty_name: EUR-Lex SUM
 language:
-- da
+  - da
 license: cc-by-sa-4.0
 license_name: CC-BY-SA 4.0
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
-domains:
-- Legal
+  - language-modeling
 ---
 
 # Dataset Card for EUR-Lex SUM
@@ -27,7 +25,6 @@ The dataset is designed for training and evaluating automatic text summarization
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Legal
 - **Number of samples**: 1.00K
 - **Number of tokens (Llama 3)**: 31.37M
 - **Average document length (characters)**: 87627.37
@@ -41,12 +38,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "eur-lex-sum-da_0",
   "text": "21.6.2019\nDA\nDen Europæiske Unions Tidende\nL 166/26\nKOMMISSIONENS DELEGEREDE FORORDNING (EU) 2019/98[...]",
   "source": "eur-lex-sum-da",
+  "id": "eur-lex-sum-da_0",
   "added": "2025-03-24 00:00:00",
   "created": "2024-01-01, 2025-01-01",
-  "token_count": 148017
+  "license": "cc-by-sa-4.0",
+  "domain": "Legal",
+  "metadata": {
+    "source-pretty": "Eur-lex-sum-da"
+  }
 }
 ```
 
@@ -54,21 +55,23 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 
@@ -80,4 +83,4 @@ An entry in the dataset consists of the following fields:
 
 ### Citation Information
 
-No citation is applicable for this work.
+No citation is applicable for this work.

data/eur-lex-sum-da/eur-lex-sum-da.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a3253316826455f318967ea6877367a222154c5b6cf47234dcff67182d3798b
-size 35854369
+oid sha256:960737a58b29e80b12f5150dacd7e0559c2ec7d3f2878a626e264b92595d9c02
+size 35849965

data/fm-udgivelser/descriptive_stats.json

@@ -2,5 +2,6 @@
   "number_of_samples": 443,
   "average_document_length": 490101.9300225734,
   "number_of_tokens": 50335291,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
+  "language": "dan, dansk, Danish",
+  "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9"
 }

data/fm-udgivelser/fm-udgivelser.md

@@ -1,16 +1,14 @@
 ---
 pretty_name: Finansministeriets Udgivelser
 language:
-- da
+  - da
 license: cc-by-sa-4.0
 license_name: CC-BY-SA 4.0
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
-domains:
-- Legal
+  - language-modeling
 ---
 
 # Dataset Card for Finansministeriets Udgivelser
@@ -30,7 +28,6 @@ The publications are authoritative sources of information on Danish fiscal polic
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Legal
 - **Number of samples**: 443
 - **Number of tokens (Llama 3)**: 50.34M
 - **Average document length (characters)**: 490101.93
@@ -44,12 +41,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "fm-udgivelser_0",
   "text": "\n\nFinanslov for\n\nfinansåret 2023 Tekst og anmærkninger\n\n§ 1. Dronningen\n\n\n\n\n\n§ 1.\n\nDronningen\n\nTekst[...]",
   "source": "fm-udgivelser",
+  "id": "fm-udgivelser_0",
   "added": "2025-03-24",
   "created": "2024-01-01, 2026-01-01",
-  "token_count": 1354
+  "license": "cc-by-sa-4.0",
+  "domain": "Legal",
+  "metadata": {
+    "source-pretty": "Finansministeriets Udgivelser"
+  }
 }
 ```
 
@@ -57,21 +58,23 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 
@@ -86,4 +89,4 @@ TOOD: KRISTIAN
 
 ### Citation Information
 
-No citation is applicable for this work.
+No citation is applicable for this work.

data/fm-udgivelser/fm-udgivelser.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ed08f5d20a99af7ababd78c95ae8219064ac3466b0507353a8799e88a7a749d
-size 59887215
+oid sha256:402b9281913aba87938e0600a994cb0387331efd7cf73829699b5103989d8747
+size 59885539

data/ft/descriptive_stats.json

@@ -1,6 +1 @@
-{
-  "number_of_samples": 1315,
-  "average_document_length": 266745.19163498096,
-  "number_of_tokens": 114087231,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
-}
+{"number_of_samples": 1315, "average_document_length": 266745.19163498096, "number_of_tokens": 114087231, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/ft/ft.md

@@ -1,21 +1,18 @@
 ---
 pretty_name: Folketinget
 language:
-- da
+  - da
 license: cc0-1.0
 license_name: CC-0
 size_categories:
-- 1-10k
+  - 1-10k
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
+  - language-modeling
 source_datasets:
-- danish-foundation-models/danish-gigaword
-domains:
-- Conversation
-- Spoken
+  - danish-foundation-models/danish-gigaword
 ---
 
 # Dataset Card for Folketinget
@@ -34,7 +31,6 @@ In the parliament hall, one speaker at a time addresses members of the parliamen
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Conversation, Spoken
 - **Number of samples**: 1.31K
 - **Number of tokens (Llama 3)**: 114.09M
 - **Average document length (characters)**: 266745.19
@@ -49,12 +45,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "ft_20121M100",
   "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",
-  "token_count": 84355
+  "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
+  "domain": "Conversation",
+  "metadata": {
+    "source-pretty": "Folketinget (Danish Parliament)"
+  }
 }
 ```
 
@@ -62,21 +62,23 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 

data/ft/ft.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:10fccf9ed35f7c1a845c2dd9abeff2121c8e0424586e20658335c06ec805dc4e
-size 181932436
+oid sha256:e46276c575c7d9ddc30f44111206d250cb02473c992d0087bf0a9a5f4266da18
+size 181926375

data/gutenberg/descriptive_stats.json

@@ -1,6 +1 @@
-{
-  "number_of_samples": 66,
-  "average_document_length": 290147.9393939394,
-  "number_of_tokens": 6763317,
-  "revision": "1546256ca9562ecef403e433276c36770859089e"
-}
+{"number_of_samples": 66, "average_document_length": 290147.9393939394, "number_of_tokens": 6763317, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}

data/gutenberg/gutenberg.md

@@ -1,20 +1,18 @@
 ---
 pretty_name: Gutenberg
 language:
-- da
+  - da
 license: other
-license_name: Gutenberg
+license_name: Gutenberg License
 size_categories:
-- 1-10k
+  - 1-10k
 task_categories:
-- text-generation
-- fill-mask
+  - text-generation
+  - fill-mask
 task_ids:
-- language-modeling
+  - language-modeling
 source_datasets:
-- danish-foundation-models/danish-gigaword
-domains:
-- Books
+  - danish-foundation-models/danish-gigaword
 ---
 
 # Dataset Card for Gutenberg
@@ -31,7 +29,6 @@ Project Gutenberg is an online library of free eBooks. Project Gutenberg was the
 
 <!-- START-DESC-STATS -->
 - **Language**: dan, dansk, Danish
-- **Domains**: Books
 - **Number of samples**: 66
 - **Number of tokens (Llama 3)**: 6.76M
 - **Average document length (characters)**: 290147.94
@@ -46,12 +43,16 @@ An example from the dataset looks as follows.
 <!-- START-SAMPLE -->
 ```py
 {
-  "id": "gutenberg_43899",
   "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",
-  "token_count": 128423
+  "license": "*** START: FULL LICENSE ***\n\nTHE FULL PROJECT GUTENBERG LICENSE\nPLEASE READ THIS BEFORE YOU DISTRIBU[...]",
+  "domain": "Wiki & Books",
+  "metadata": {
+    "source-pretty": "Gutenberg"
+  }
 }
 ```
 
@@ -59,12 +60,15 @@ An example from the dataset looks as follows.
 
 An entry in the dataset consists of the following fields:
 
-- `id` (`str`): An unique identifier for each document.
 - `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.
-- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
+- `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 -->
 
 
@@ -409,9 +413,8 @@ subscribe to our email newsletter to hear about new eBooks.
 ### Dataset Statistics
 
 <!-- START-DATASET PLOTS -->
-<p align="center">
 <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
-</p>
+<img>
 <!-- END-DATASET PLOTS -->
 
 

data/gutenberg/gutenberg.parquet

@@ -1,3 +1,3 @@
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+oid sha256:1e8364195e60b64e285d0c1b8c4b6ae0da7a1b6165de77bb4fc4049c317b445c
+size 12342492