Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
1M - 10M
License:
update-retsinformationdk
#72
by
kris927b
- opened
- CHANGELOG.md +18 -0
- README.md +47 -41
- data/danske-taler/danske-taler.md +3 -3
- data/danske-taler/descriptive_stats.json +3 -3
- data/danske-taler/images/dist_document_length.png +2 -2
- data/ncc_newspaper/ncc_newspaper.md +1 -0
- data/retsinformationdk/create.py +166 -0
- data/retsinformationdk/descriptive_stats.json +4 -4
- data/retsinformationdk/images/dist_document_length.png +2 -2
- data/retsinformationdk/retsinformationdk.md +8 -8
- data/retsinformationdk/retsinformationdk.parquet +2 -2
- data/scrape_hovedstaden/create.py +76 -0
- data/scrape_hovedstaden/descriptive_stats.json +6 -0
- data/scrape_hovedstaden/images/dist_document_length.png +3 -0
- data/scrape_hovedstaden/scrape_hovedstaden.md +98 -0
- data/scrape_hovedstaden/scrape_hovedstaden.parquet +3 -0
- descriptive_stats.json +4 -4
- images/dist_document_length.png +2 -2
- images/domain_distribution.png +2 -2
- pyproject.toml +1 -1
- src/dynaword/typings.py +1 -0
- test_results.log +11 -11
- uv.lock +1 -1
CHANGELOG.md
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@@ -5,6 +5,24 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [v1.2.1] - 2025-06-24
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### Fixed
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [v1.2.3] - 2025-06-30
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### Added
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- Added a `create.py` script for the `retsinformationdk` dataset.
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- Resulted in a boost in tokens and documents
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### Changed
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- Did a full stats update on datasets, resulting in minor changes in a few datasheets
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## [v1.2.2] - 2025-06-26
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### Added
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- Added the new `scrape_hovedstaden` dataset.
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- Added a new domain type `Medical`.
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## [v1.2.1] - 2025-06-24
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### Fixed
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README.md
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@@ -141,6 +141,10 @@ configs:
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data_files:
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- split: train
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path: data/nota/*.parquet
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annotations_creators:
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- no-annotation
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language_creators:
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<!-- START README TABLE -->
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| | |
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| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
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-
| **Version** | 1.2.
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| **Language** | dan, dansk, Danish |
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| **License** | Openly Licensed, See the respective dataset |
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| **Models** | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models) |
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<!-- START-DESC-STATS -->
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- **Language**: dan, dansk, Danish
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-
- **Number of samples**:
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-
- **Number of tokens (Llama 3)**: 4.
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-
- **Average document length (characters)**:
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<!-- END-DESC-STATS -->
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Below follows a brief overview of the sources in the corpus along with their individual license.
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<!-- START-MAIN TABLE -->
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| Source
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| [cellar]
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| [hest]
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| [ncc_parliament]
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| [opensubtitles]
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| [ai-aktindsigt]
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| [miljoeportalen]
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| [skat]
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| [wiki]
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| [ft]
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| [memo]
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| [ep]
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| [adl]
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| [retspraksis]
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| [fm-udgivelser]
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| [nordjyllandnews]
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| [eur-lex-sum-da]
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| [ncc_maalfrid]
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[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
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[cellar]: data/cellar/cellar.md
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[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
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[relig]: data/relig/relig.md
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[nota]: data/nota/nota.md
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[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en
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data_files:
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- split: train
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path: data/nota/*.parquet
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- config_name: scrape_hovedstaden
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data_files:
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- split: train
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path: data/scrape_hovedstaden/*.parquet
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annotations_creators:
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- no-annotation
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language_creators:
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<!-- START README TABLE -->
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| | |
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| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Version** | 1.2.3 ([Changelog](/CHANGELOG.md)) |
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| **Language** | dan, dansk, Danish |
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| **License** | Openly Licensed, See the respective dataset |
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| **Models** | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models) |
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<!-- START-DESC-STATS -->
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- **Language**: dan, dansk, Danish
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- **Number of samples**: 951.89K
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- **Number of tokens (Llama 3)**: 4.70B
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- **Average document length (characters)**: 15168.87
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<!-- END-DESC-STATS -->
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Below follows a brief overview of the sources in the corpus along with their individual license.
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<!-- START-MAIN TABLE -->
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| Source | Description | Domain | N. Tokens | License |
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|:---------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------|:------------|:-----------------------|
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| [cellar] | The official digital repository for European Union legal documents and open data | Legal | 1.15B | [CC-BY-SA 4.0] |
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| 321 |
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| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | Legal | 818.25M | [Danish Copyright Law] |
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| 322 |
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| [ncc_books] | Danish books extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from OCR | Books | 531.97M | [CC-0] |
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| [hest] | Samples from the Danish debate forum www.heste-nettet.dk | Social Media | 389.32M | [CC-0] |
|
| 324 |
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| [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] |
|
| 325 |
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| [opensubtitles] | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) | Conversation | 271.60M | [CC-0] |
|
| 326 |
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| [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] |
|
| 327 |
+
| [miljoeportalen] | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal) | Web | 127.38M | [CC-0] |
|
| 328 |
+
| [skat] | Skat is the Danish tax authority. This dataset contains content from its website skat.dk | Legal | 122.11M | [CC-0] |
|
| 329 |
+
| [wiki] | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page) | Encyclopedic | 122.00M | [CC-0] |
|
| 330 |
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| [ft] | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall | Conversation | 114.09M | [CC-0] |
|
| 331 |
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| [memo] | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough | Books | 113.74M | [CC-BY-SA 4.0] |
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| 332 |
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| [ep] | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/) | Conversation | 100.84M | [CC-0] |
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| 333 |
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| [adl] | 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) | Books | 58.49M | [CC-0] |
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| 334 |
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| [retspraksis] | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis) | Legal | 56.26M | [CC-0] |
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| 335 |
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| [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] |
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| 336 |
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| [nordjyllandnews] | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk) | News | 37.90M | [CC-0] |
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| 337 |
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| [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] |
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| 338 |
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| [ncc_maalfrid] | Danish content from Norwegian institutions websites | Web | 29.26M | [NLOD 2.0] |
|
| 339 |
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| [scrape_hovedstaden] | Guidelines and informational documents for healthcare professionals from the Capital Region | Medical | 27.07M | [CC-0] |
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| 340 |
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| [tv2r] | Contemporary Danish newswire articles published between 2010 and 2019 | News | 21.67M | [CC-BY-SA 4.0] |
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| 341 |
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| [danske-taler] | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk) | Conversation | 8.72M | [CC-0] |
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| 342 |
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| [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] |
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| 343 |
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| [gutenberg] | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org) | Books | 6.76M | [Gutenberg] |
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| 344 |
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| [wikibooks] | The Danish Subsection of [Wikibooks](https://www.wikibooks.org) | Books | 6.24M | [CC-0] |
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| 345 |
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| [wikisource] | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page) | Encyclopedic | 5.34M | [CC-0] |
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| 346 |
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| [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] |
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| 347 |
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| [spont] | Conversational samples collected as a part of research projects at Aarhus University | Conversation | 1.56M | [CC-0] |
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| 348 |
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| [dannet] | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet | Other | 1.48M | [DanNet 1.0] |
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| 349 |
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| [relig] | Danish religious text from the 1700-2022 | Books | 1.24M | [CC-0] |
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| 350 |
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| [ncc_newspaper] | OCR'd Newspapers derived from [NCC](https://huggingface.co/datasets/NbAiLab/NCC) | News | 1.05M | [CC-0] |
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| 351 |
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| [botxt] | The Bornholmsk Ordbog Dictionary Project | Dialect | 847.97K | [CC-0] |
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| 352 |
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| [naat] | Danish speeches from 1930-2022 | Conversation | 286.68K | [CC-0] |
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| 353 |
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| [depbank] | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT) | Other | 185.45K | [CC-BY-SA 4.0] |
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| 354 |
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| [synne] | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk | Other | 52.02K | [CC-0] |
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| 355 |
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| **Total** | | | 4.70B | |
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| 356 |
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[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
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| 358 |
[cellar]: data/cellar/cellar.md
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[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
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| 389 |
[relig]: data/relig/relig.md
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| 390 |
[nota]: data/nota/nota.md
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| 391 |
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[scrape_hovedstaden]: data/scrape_hovedstaden/scrape_hovedstaden.md
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[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en
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data/danske-taler/danske-taler.md
CHANGED
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@@ -40,8 +40,8 @@ Learn more about danske taler by reading their [about us](https://www.dansketale
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- **Language**: dan, dansk, Danish
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- **Domains**: Conversation, Speeches, Spoken
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- **Number of samples**: 2.91K
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-
- **Number of tokens (Llama 3)**: 8.
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- **Average document length (characters)**:
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<!-- END-DESC-STATS -->
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```py
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{
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"id": "danske-taler_281",
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"text": "Tyske landsmænd og -kvinder !\
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"source": "danske-taler",
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"added": "2025-06-24",
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"created": "1940-01-30, 1940-01-30",
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- **Language**: dan, dansk, Danish
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- **Domains**: Conversation, Speeches, Spoken
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- **Number of samples**: 2.91K
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- **Number of tokens (Llama 3)**: 8.72M
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- **Average document length (characters)**: 9140.42
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<!-- END-DESC-STATS -->
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```py
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{
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"id": "danske-taler_281",
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"text": "Tyske landsmænd og -kvinder !\nSyv år er kort tid, en brøkdel af en enkel menneskelig normaltilværels[...]",
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"source": "danske-taler",
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"added": "2025-06-24",
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"created": "1940-01-30, 1940-01-30",
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data/danske-taler/descriptive_stats.json
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{
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"number_of_samples": 2912,
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-
"average_document_length":
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"number_of_tokens":
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"revision": "
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}
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{
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"number_of_samples": 2912,
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"average_document_length": 9140.421703296703,
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"number_of_tokens": 8723951,
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"revision": "bcb374cb39c593a23e26534d5f2f182dee3edceb"
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}
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data/danske-taler/images/dist_document_length.png
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Git LFS Details
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Git LFS Details
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data/ncc_newspaper/ncc_newspaper.md
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<!-- START-DESC-STATS -->
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- **Language**: dan, dansk, Danish
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- **Number of samples**: 5.37K
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- **Number of tokens (Llama 3)**: 1.05M
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- **Average document length (characters)**: 571.69
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<!-- START-DESC-STATS -->
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- **Language**: dan, dansk, Danish
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- **Domains**: News
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- **Number of samples**: 5.37K
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- **Number of tokens (Llama 3)**: 1.05M
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- **Average document length (characters)**: 571.69
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data/retsinformationdk/create.py
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# /// script
|
| 2 |
+
# requires-python = ">=3.12"
|
| 3 |
+
# dependencies = [
|
| 4 |
+
# "datasets==3.2.0",
|
| 5 |
+
# "pandas",
|
| 6 |
+
# "requests",
|
| 7 |
+
# "trafilatura",
|
| 8 |
+
# "dynaword"
|
| 9 |
+
# ]
|
| 10 |
+
# [tool.uv.sources]
|
| 11 |
+
# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
|
| 12 |
+
# ///
|
| 13 |
+
|
| 14 |
+
from datetime import date, datetime
|
| 15 |
+
from io import StringIO
|
| 16 |
+
import logging
|
| 17 |
+
from pathlib import Path
|
| 18 |
+
import pandas as pd
|
| 19 |
+
import requests
|
| 20 |
+
from requests.adapters import HTTPAdapter
|
| 21 |
+
from urllib3 import Retry
|
| 22 |
+
from trafilatura import extract
|
| 23 |
+
from datasets import Dataset
|
| 24 |
+
from tqdm import tqdm
|
| 25 |
+
|
| 26 |
+
from dynaword.process_dataset import (
|
| 27 |
+
add_token_count,
|
| 28 |
+
ensure_column_order,
|
| 29 |
+
remove_duplicate_text,
|
| 30 |
+
remove_empty_texts,
|
| 31 |
+
)
|
| 32 |
+
|
| 33 |
+
TMP_DIR = Path(__file__).parent / "tmp"
|
| 34 |
+
|
| 35 |
+
BASE_URL = "https://www.retsinformation.dk/api/document/eli"
|
| 36 |
+
|
| 37 |
+
logger = logging.getLogger(__name__)
|
| 38 |
+
today = date.today()
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
def create_session_with_retries(retries=2, backoff_factor=0.5):
|
| 42 |
+
session = requests.Session()
|
| 43 |
+
retry_strategy = Retry(
|
| 44 |
+
total=retries,
|
| 45 |
+
backoff_factor=backoff_factor,
|
| 46 |
+
status_forcelist=[500, 502, 503, 504],
|
| 47 |
+
allowed_methods=["GET"],
|
| 48 |
+
respect_retry_after_header=True,
|
| 49 |
+
)
|
| 50 |
+
adapter = HTTPAdapter(max_retries=retry_strategy)
|
| 51 |
+
session.mount("http://", adapter)
|
| 52 |
+
session.mount("https://", adapter)
|
| 53 |
+
return session
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
def fetch_document_list():
|
| 57 |
+
download = True
|
| 58 |
+
csv_content = ""
|
| 59 |
+
|
| 60 |
+
df: pd.DataFrame = pd.DataFrame()
|
| 61 |
+
|
| 62 |
+
if TMP_DIR.exists():
|
| 63 |
+
files = list(TMP_DIR.glob("*.csv"))
|
| 64 |
+
file = sorted(files, reverse=True)[0]
|
| 65 |
+
|
| 66 |
+
file_date = datetime.strptime(file.stem, "%Y-%m-%d").date()
|
| 67 |
+
|
| 68 |
+
if (today - file_date).days < 180:
|
| 69 |
+
download = False
|
| 70 |
+
df = pd.read_csv(file)
|
| 71 |
+
|
| 72 |
+
if download:
|
| 73 |
+
logger.info("Downloading list of files from Retsinformation.dk")
|
| 74 |
+
response = requests.get(
|
| 75 |
+
"https://www.retsinformation.dk/api/documentsearch/csv?dt=10&dt=1480&dt=20&dt=30&dt=40&dt=50&dt=90&dt=120&dt=270&dt=60&dt=100&dt=80&dt=110&dt=130&dt=140&dt=150&dt=160&dt=170&dt=180&dt=200&dt=210&dt=220&dt=1510&dt=1490&dt=-10&dt=230&dt=240&dt=250&dt=260&dt=980&dt=360&dt=400&dt=380&dt=420&dt=1530&dt=440&dt=450&dt=430&dt=1540&dt=460&dt=410&dt=370&dt=480&dt=390&dt=500&dt=510&dt=520&dt=490&dt=300&dt=310&dt=320&dt=330&dt=340&dt=350&o=40"
|
| 76 |
+
)
|
| 77 |
+
# response = requests.get(url, headers=headers)
|
| 78 |
+
response.raise_for_status() # Raise error for bad responses
|
| 79 |
+
|
| 80 |
+
# The response is a gzip-compressed CSV in plain text
|
| 81 |
+
csv_content = response.content.decode("utf-16", errors="replace")
|
| 82 |
+
logger.info("Downloaded list of documents")
|
| 83 |
+
|
| 84 |
+
# Optionally parse with pandas
|
| 85 |
+
df = pd.read_csv(StringIO(csv_content), sep=";") # Assuming semicolon separator
|
| 86 |
+
|
| 87 |
+
df.to_csv(TMP_DIR / (today.strftime("%Y-%m-%d") + ".csv"), index=False)
|
| 88 |
+
|
| 89 |
+
return df[
|
| 90 |
+
[
|
| 91 |
+
"DokumentType",
|
| 92 |
+
"DokumentId",
|
| 93 |
+
"Titel",
|
| 94 |
+
"Ressort",
|
| 95 |
+
"Historisk",
|
| 96 |
+
"PubliceretTidspunkt",
|
| 97 |
+
"EliUrl",
|
| 98 |
+
]
|
| 99 |
+
]
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
def fetch_document(doc_info: pd.Series, session: requests.Session) -> dict:
|
| 103 |
+
url = BASE_URL + doc_info["EliUrl"].strip().split("eli")[1]
|
| 104 |
+
|
| 105 |
+
response = session.post(
|
| 106 |
+
url,
|
| 107 |
+
headers={
|
| 108 |
+
"Accept": "application/json",
|
| 109 |
+
"Content-Type": "application/json",
|
| 110 |
+
},
|
| 111 |
+
json={},
|
| 112 |
+
)
|
| 113 |
+
response.raise_for_status()
|
| 114 |
+
|
| 115 |
+
return response.json()[0]
|
| 116 |
+
|
| 117 |
+
|
| 118 |
+
def main():
|
| 119 |
+
save_path = Path(__file__).parent / "retsinformationdk.parquet"
|
| 120 |
+
documents = fetch_document_list()
|
| 121 |
+
|
| 122 |
+
logger.info(f"Found {len(documents)} documents from retsinformationdk")
|
| 123 |
+
|
| 124 |
+
session = create_session_with_retries()
|
| 125 |
+
docs = []
|
| 126 |
+
for idx, doc_info in tqdm(documents.iterrows(), total=len(documents)):
|
| 127 |
+
if doc_info["Historisk"]:
|
| 128 |
+
continue
|
| 129 |
+
try:
|
| 130 |
+
doc = fetch_document(doc_info, session)
|
| 131 |
+
text = extract(doc["documentHtml"], output_format="markdown")
|
| 132 |
+
docs.append(
|
| 133 |
+
{
|
| 134 |
+
"id": doc_info["DokumentId"],
|
| 135 |
+
"text": text if text else "",
|
| 136 |
+
"source": "retsinformationdk",
|
| 137 |
+
"added": today.strftime("%Y-%m-%d"),
|
| 138 |
+
"created": f"{date.fromisoformat(str(doc_info['PubliceretTidspunkt'])).strftime('%Y-%m-%d')}, {date.fromisoformat(str(doc_info['PubliceretTidspunkt'])).strftime('%Y-%m-%d')}",
|
| 139 |
+
}
|
| 140 |
+
)
|
| 141 |
+
except Exception as e:
|
| 142 |
+
logger.error(f"Ran in to error: {e}")
|
| 143 |
+
logger.error(f"Skipping doc {doc_info['DokumentId']}")
|
| 144 |
+
|
| 145 |
+
ds = Dataset.from_list(docs)
|
| 146 |
+
|
| 147 |
+
# quality checks and processing
|
| 148 |
+
ds = remove_empty_texts(ds)
|
| 149 |
+
ds = remove_duplicate_text(ds)
|
| 150 |
+
ds = add_token_count(ds)
|
| 151 |
+
ds = ensure_column_order(ds)
|
| 152 |
+
|
| 153 |
+
ds.to_parquet(save_path)
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
if __name__ == "__main__":
|
| 157 |
+
log_path = Path(__file__).parent / "retsinformationdk.log"
|
| 158 |
+
logging.basicConfig(
|
| 159 |
+
level=logging.INFO,
|
| 160 |
+
format="%(asctime)s - %(levelname)s - %(message)s",
|
| 161 |
+
handlers=[
|
| 162 |
+
logging.StreamHandler(),
|
| 163 |
+
logging.FileHandler(log_path),
|
| 164 |
+
],
|
| 165 |
+
)
|
| 166 |
+
main()
|
data/retsinformationdk/descriptive_stats.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"number_of_samples":
|
| 3 |
-
"average_document_length":
|
| 4 |
-
"number_of_tokens":
|
| 5 |
-
"revision": "
|
| 6 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"number_of_samples": 100524,
|
| 3 |
+
"average_document_length": 23265.030191794995,
|
| 4 |
+
"number_of_tokens": 818252220,
|
| 5 |
+
"revision": "2c91001b440e33497c34fbfa9b40dfffffa25620"
|
| 6 |
}
|
data/retsinformationdk/images/dist_document_length.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
data/retsinformationdk/retsinformationdk.md
CHANGED
|
@@ -39,9 +39,9 @@ It serves as a central repository for Danish legislation, administrative regulat
|
|
| 39 |
<!-- START-DESC-STATS -->
|
| 40 |
- **Language**: dan, dansk, Danish
|
| 41 |
- **Domains**: Legal
|
| 42 |
-
- **Number of samples**:
|
| 43 |
-
- **Number of tokens (Llama 3)**:
|
| 44 |
-
- **Average document length (characters)**:
|
| 45 |
<!-- END-DESC-STATS -->
|
| 46 |
|
| 47 |
|
|
@@ -52,12 +52,12 @@ An example from the dataset looks as follows.
|
|
| 52 |
<!-- START-SAMPLE -->
|
| 53 |
```py
|
| 54 |
{
|
| 55 |
-
"id": "
|
| 56 |
-
"text": "
|
| 57 |
"source": "retsinformationdk",
|
| 58 |
-
"added": "
|
| 59 |
-
"created": "
|
| 60 |
-
"token_count":
|
| 61 |
}
|
| 62 |
```
|
| 63 |
|
|
|
|
| 39 |
<!-- START-DESC-STATS -->
|
| 40 |
- **Language**: dan, dansk, Danish
|
| 41 |
- **Domains**: Legal
|
| 42 |
+
- **Number of samples**: 100.52K
|
| 43 |
+
- **Number of tokens (Llama 3)**: 818.25M
|
| 44 |
+
- **Average document length (characters)**: 23265.03
|
| 45 |
<!-- END-DESC-STATS -->
|
| 46 |
|
| 47 |
|
|
|
|
| 52 |
<!-- START-SAMPLE -->
|
| 53 |
```py
|
| 54 |
{
|
| 55 |
+
"id": "AA014851",
|
| 56 |
+
"text": "Indsamlingsnævnets afgørelse i sag nr. 22-730-00015\n\nIndsamlingsnævnet fandt det kritisabelt, at Gad[...]",
|
| 57 |
"source": "retsinformationdk",
|
| 58 |
+
"added": "2025-06-26",
|
| 59 |
+
"created": "2025-06-25, 2025-06-25",
|
| 60 |
+
"token_count": 4062
|
| 61 |
}
|
| 62 |
```
|
| 63 |
|
data/retsinformationdk/retsinformationdk.parquet
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:191bab8a3e7ae419394a622b74ae0fe64e9b5033066eeab4a3b3d2960153d48a
|
| 3 |
+
size 1017748370
|
data/scrape_hovedstaden/create.py
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# /// script
|
| 2 |
+
# requires-python = "==3.12"
|
| 3 |
+
# dependencies = [
|
| 4 |
+
# "datasets==3.2.0",
|
| 5 |
+
# "dynaword"
|
| 6 |
+
# ]
|
| 7 |
+
# [tool.uv.sources]
|
| 8 |
+
# dynaword = { git = "https://huggingface.co/datasets/danish-foundation-models/danish-dynaword", rev = "00e7f2aee7f7ad2da423419f77ecbb9c0536de0d" }
|
| 9 |
+
# ///
|
| 10 |
+
"""
|
| 11 |
+
Script for downloading and processing the Scrape Hovedstaden texts.
|
| 12 |
+
|
| 13 |
+
Note: To run this script, you need to set `GIT_LFS_SKIP_SMUDGE=1` to be able to install dynaword:
|
| 14 |
+
|
| 15 |
+
```bash
|
| 16 |
+
GIT_LFS_SKIP_SMUDGE=1 uv run data/scrape_hovedstaden/create.py
|
| 17 |
+
```
|
| 18 |
+
"""
|
| 19 |
+
|
| 20 |
+
import logging
|
| 21 |
+
import subprocess
|
| 22 |
+
from datetime import datetime
|
| 23 |
+
from pathlib import Path
|
| 24 |
+
from typing import Any, cast
|
| 25 |
+
|
| 26 |
+
import pandas as pd
|
| 27 |
+
from datasets import Dataset, load_dataset
|
| 28 |
+
|
| 29 |
+
from dynaword.process_dataset import (
|
| 30 |
+
add_token_count,
|
| 31 |
+
ensure_column_order,
|
| 32 |
+
remove_duplicate_text,
|
| 33 |
+
remove_empty_texts,
|
| 34 |
+
)
|
| 35 |
+
|
| 36 |
+
logger = logging.getLogger(__name__)
|
| 37 |
+
|
| 38 |
+
download_path = Path(__file__).parent / "tmp"
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
def main():
|
| 42 |
+
save_path = Path(__file__).parent / "scrape_hovedstaden.parquet"
|
| 43 |
+
# Download data from repo: Den-Intelligente-Patientjournal/region_hovedstaden_text
|
| 44 |
+
ds = load_dataset(
|
| 45 |
+
"Den-Intelligente-Patientjournal/region_hovedstaden_text", split="train"
|
| 46 |
+
)
|
| 47 |
+
dataset: Dataset = cast(Dataset, ds)
|
| 48 |
+
|
| 49 |
+
# Extract the cleaned column
|
| 50 |
+
dataset = dataset.rename_column("cleaned", "text")
|
| 51 |
+
|
| 52 |
+
# Add created column: 2015 and 2020
|
| 53 |
+
dataset = dataset.add_column("created", ["2015-01-01, 2020-12-31"] * len(dataset)) # type: ignore
|
| 54 |
+
# Add added column: today
|
| 55 |
+
dataset = dataset.add_column(
|
| 56 |
+
"added", [datetime.today().date().strftime("%Y-%m-%d")] * len(dataset)
|
| 57 |
+
) # type: ignore
|
| 58 |
+
# Add source column: scrape_hovedstaden
|
| 59 |
+
dataset = dataset.add_column("source", ["scrape_hovedstaden"] * len(dataset)) # type: ignore
|
| 60 |
+
# Add id column: scrape_hovedstade_{idx}
|
| 61 |
+
dataset = dataset.add_column(
|
| 62 |
+
"id", [f"scrape_hovedstaden_{i}" for i in range(len(dataset))]
|
| 63 |
+
) # type: ignore
|
| 64 |
+
|
| 65 |
+
# quality checks and processing
|
| 66 |
+
dataset = remove_empty_texts(dataset)
|
| 67 |
+
dataset = remove_duplicate_text(dataset)
|
| 68 |
+
dataset = add_token_count(dataset)
|
| 69 |
+
dataset = ensure_column_order(dataset)
|
| 70 |
+
|
| 71 |
+
# save to parquet
|
| 72 |
+
dataset.to_parquet(save_path)
|
| 73 |
+
|
| 74 |
+
|
| 75 |
+
if __name__ == "__main__":
|
| 76 |
+
main()
|
data/scrape_hovedstaden/descriptive_stats.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"number_of_samples": 23996,
|
| 3 |
+
"average_document_length": 3329.0515919319887,
|
| 4 |
+
"number_of_tokens": 27066716,
|
| 5 |
+
"revision": "78cc135f92c8c12ee8ba131d1a03befc5c78477d"
|
| 6 |
+
}
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data/scrape_hovedstaden/images/dist_document_length.png
ADDED
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Git LFS Details
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data/scrape_hovedstaden/scrape_hovedstaden.md
ADDED
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@@ -0,0 +1,98 @@
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| 1 |
+
---
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| 2 |
+
pretty_name: Health Hovedstaden
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| 3 |
+
language:
|
| 4 |
+
- da
|
| 5 |
+
license: cc0-1.0
|
| 6 |
+
license_name: CC-0
|
| 7 |
+
task_categories:
|
| 8 |
+
- text-generation
|
| 9 |
+
- fill-mask
|
| 10 |
+
task_ids:
|
| 11 |
+
- language-modeling
|
| 12 |
+
source_datasets:
|
| 13 |
+
- Den-Intelligente-Patientjournal/region_hovedstaden_text
|
| 14 |
+
domains:
|
| 15 |
+
- Medical
|
| 16 |
+
- Encyclopedic
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
# Dataset Card for Health Hovedstaden
|
| 20 |
+
|
| 21 |
+
<!-- START-SHORT DESCRIPTION -->
|
| 22 |
+
Guidelines and informational documents for healthcare professionals from the Capital Region
|
| 23 |
+
<!-- END-SHORT DESCRIPTION -->
|
| 24 |
+
|
| 25 |
+
The document collection consists of guidelines and informational documents for healthcare professionals in the Capital Region of Denmark. The documents therefore contain a number of specialized terms and concepts that are frequently used within the healthcare sector.
|
| 26 |
+
|
| 27 |
+
The corpus was created based on the texts in the document collection and has been post-processed so that the texts can be used for the development of language technology.
|
| 28 |
+
|
| 29 |
+
Martin Sundahl Laursen and Thiusius R. Savarimuthu from the University of Southern Denmark have assisted the Danish Agency for Digital Government with the post-processing of the data. Read their joint paper on "Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text."
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
## Dataset Description
|
| 35 |
+
|
| 36 |
+
<!-- START-DESC-STATS -->
|
| 37 |
+
- **Language**: dan, dansk, Danish
|
| 38 |
+
- **Domains**: Medical, Encyclopedic
|
| 39 |
+
- **Number of samples**: 24.00K
|
| 40 |
+
- **Number of tokens (Llama 3)**: 27.07M
|
| 41 |
+
- **Average document length (characters)**: 3329.05
|
| 42 |
+
<!-- END-DESC-STATS -->
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
## Dataset Structure
|
| 46 |
+
An example from the dataset looks as follows.
|
| 47 |
+
|
| 48 |
+
<!-- START-SAMPLE -->
|
| 49 |
+
```py
|
| 50 |
+
{
|
| 51 |
+
"id": "scrape_hovedstaden_0",
|
| 52 |
+
"text": "Acetylsalicylsyre - Aspirin, Akutlægebil\n\nMålgrupper og anvendelsesområde\nDefinitioner\nFremgangsmåde[...]",
|
| 53 |
+
"source": "scrape_hovedstaden",
|
| 54 |
+
"added": "2025-06-25",
|
| 55 |
+
"created": "2015-01-01, 2020-12-31",
|
| 56 |
+
"token_count": 766
|
| 57 |
+
}
|
| 58 |
+
```
|
| 59 |
+
|
| 60 |
+
### Data Fields
|
| 61 |
+
|
| 62 |
+
An entry in the dataset consists of the following fields:
|
| 63 |
+
|
| 64 |
+
- `id` (`str`): An unique identifier for each document.
|
| 65 |
+
- `text`(`str`): The content of the document.
|
| 66 |
+
- `source` (`str`): The source of the document (see [Source Data](#source-data)).
|
| 67 |
+
- `added` (`str`): An date for when the document was added to this collection.
|
| 68 |
+
- `created` (`str`): An date range for when the document was originally created.
|
| 69 |
+
- `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
|
| 70 |
+
<!-- END-SAMPLE -->
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
### Additional Processing
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
### Unintended Uses
|
| 78 |
+
|
| 79 |
+
Please note that the corpus has been developed for the purpose of language technology development and should not be used as a source of healthcare information. The documents were scraped at a specific time and will therefore not be updated with changes. In this regard, please refer to the Capital Region of Denmark's document collection.
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
### Dataset Statistics
|
| 83 |
+
|
| 84 |
+
<!-- START-DATASET PLOTS -->
|
| 85 |
+
<p align="center">
|
| 86 |
+
<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
|
| 87 |
+
</p>
|
| 88 |
+
<!-- END-DATASET PLOTS -->
|
| 89 |
+
|
| 90 |
+
|
| 91 |
+
# Additional Information
|
| 92 |
+
|
| 93 |
+
## License Information
|
| 94 |
+
The dataset have been released under a CC-0 license.
|
| 95 |
+
|
| 96 |
+
### Citation Information
|
| 97 |
+
|
| 98 |
+
If you are using the data please reference the following paper [Automatic Annotation of Training Data for Deep Learning Based De-identification of Narrative Clinical Text](https://ceur-ws.org/Vol-3416/paper_5.pdf)
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data/scrape_hovedstaden/scrape_hovedstaden.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:830fcdc9a16310bf1d165db79ba8b49bdee33cd7b3849ca0564b010d9f3df318
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size 41434842
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descriptive_stats.json
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{
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"number_of_samples":
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"average_document_length":
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"number_of_tokens":
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"revision": "
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}
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{
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"number_of_samples": 951889,
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"average_document_length": 15168.871661506751,
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+
"number_of_tokens": 4698470546,
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"revision": "bcb374cb39c593a23e26534d5f2f182dee3edceb"
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| 6 |
}
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images/dist_document_length.png
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Git LFS Details
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Git LFS Details
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images/domain_distribution.png
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Git LFS Details
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Git LFS Details
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pyproject.toml
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[project]
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name = "dynaword"
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version = "1.2.
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description = "project code for the danish dynaword project"
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readme = "README.md"
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requires-python = ">=3.12,<3.13" # 3.13 have issues with spacy and pytorch
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[project]
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name = "dynaword"
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version = "1.2.3"
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description = "project code for the danish dynaword project"
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readme = "README.md"
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| 6 |
requires-python = ">=3.12,<3.13" # 3.13 have issues with spacy and pytorch
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src/dynaword/typings.py
CHANGED
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| 6 |
"Dialect",
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"Encyclopedic",
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"Legal",
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"News",
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"Other",
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"Readaloud",
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"Dialect",
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"Encyclopedic",
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"Legal",
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"Medical",
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"News",
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"Other",
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"Readaloud",
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test_results.log
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| 1 |
============================= test session starts ==============================
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platform darwin -- Python 3.12.
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rootdir: /Users/kristianjensen/Documents/danish-dynaword
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configfile: pyproject.toml
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collected
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| 7 |
src/tests/test_dataset_schema.py ....................................... [ 12%]
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| 8 |
-
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src/tests/test_datasheets.py ........................................... [ 35%]
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........................................................................ [
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src/tests/test_load.py .. [ 77%]
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src/tests/test_quality/test_duplicates.py .............................. [
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src/tests/test_quality/test_short_texts.py ............................. [
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src/tests/test_unique_ids.py . [100%]
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=============================== warnings summary ===============================
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src/tests/test_quality/test_short_texts.py:
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| 21 |
/Users/kristianjensen/Documents/danish-dynaword/.venv/lib/python3.12/site-packages/datasets/utils/_dill.py:385: DeprecationWarning: co_lnotab is deprecated, use co_lines instead.
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| 22 |
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| 23 |
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
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-
=================
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|
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============================= test session starts ==============================
|
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+
platform darwin -- Python 3.12.0, pytest-8.3.4, pluggy-1.5.0
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| 3 |
rootdir: /Users/kristianjensen/Documents/danish-dynaword
|
| 4 |
configfile: pyproject.toml
|
| 5 |
+
collected 319 items
|
| 6 |
|
| 7 |
src/tests/test_dataset_schema.py ....................................... [ 12%]
|
| 8 |
+
............................... [ 21%]
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| 9 |
src/tests/test_datasheets.py ........................................... [ 35%]
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| 10 |
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........................................................................ [ 57%]
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| 11 |
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............................................................ [ 76%]
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| 12 |
src/tests/test_load.py .. [ 77%]
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| 13 |
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src/tests/test_quality/test_duplicates.py .............................. [ 86%]
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.....s [ 88%]
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| 15 |
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src/tests/test_quality/test_short_texts.py ............................. [ 97%]
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| 16 |
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...... [ 99%]
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src/tests/test_unique_ids.py . [100%]
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| 18 |
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| 19 |
=============================== warnings summary ===============================
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| 20 |
+
src/tests/test_quality/test_short_texts.py: 35 warnings
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| 21 |
/Users/kristianjensen/Documents/danish-dynaword/.venv/lib/python3.12/site-packages/datasets/utils/_dill.py:385: DeprecationWarning: co_lnotab is deprecated, use co_lines instead.
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| 22 |
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| 23 |
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
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================= 318 passed, 1 skipped, 35 warnings in 27.88s =================
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uv.lock
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[[package]]
|
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name = "dynaword"
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version = "1.2.
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source = { editable = "." }
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dependencies = [
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{ name = "datasets" },
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| 258 |
[[package]]
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name = "dynaword"
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version = "1.2.2"
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source = { editable = "." }
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dependencies = [
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| 263 |
{ name = "datasets" },
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