diff --git a/.gitignore b/.gitignore index a1aa23ff669f18c68b07da601512497f440b0a31..c280589f393034015c488ea83c3d4f47d188483a 100644 --- a/.gitignore +++ b/.gitignore @@ -5,18 +5,5 @@ __pycache__/* # cSpell cspell.json -# debugfile -.vscode/launch.json - # tmp files -tmp.py -tmp.png - -# MacOS -.DS_Store - -# tmp files -tmp.py - -## to allow temporary data drops without pushing it to the hub -data/*/tmp/* +tmp.py \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json index 456f0046d12837d5153c15b0b38f37a5caf02d6f..3e99ede35449c19657050b5668845a4690f035b3 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,7 +1,7 @@ { "python.testing.pytestArgs": [ - "src/tests" + "." ], "python.testing.unittestEnabled": false, - "python.testing.pytestEnabled": true, + "python.testing.pytestEnabled": true } \ No newline at end of file diff --git a/CHANGELOG.md b/CHANGELOG.md deleted file mode 100644 index 2b30e72067dda6f826bdad4bb25b00f7ab9c9674..0000000000000000000000000000000000000000 --- a/CHANGELOG.md +++ /dev/null @@ -1,24 +0,0 @@ - -# Changelog - -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/). - -## [v1.0.11] - 2025-03-29 - -### Added - -- Added new datasets (more than 1B tokens 🎉) - - AI Aktindsigt - - Cellar - - Danske Taler - - Miljøportalen - - EUR-Lex SUM - - Finansministeriets Udgivelser - -### Docs - -- Sorted main table in readme -- Added Changelog -- Minor changs to diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 051bc42c6a1ccc511d7e2257e502dc7d503ef1ed..64a397eb2ab9b3c876605c47ad4124f6be9932b7 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -3,9 +3,8 @@ A huggingface datasets repository is a GitHub repository like any other. You can simply download it like so: ```bash -git clone https://huggingface.co/datasets/danish-foundation-models/danish-dynaword -cd danish-dynaword -git lfs pull # download large files to ensure that tests works +git clone https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2 +cd danish-gigaword-2 ``` You can the work with the dataset locally like so: @@ -13,27 +12,13 @@ You can the work with the dataset locally like so: ```py from datasets import load_dataset -name = "../." # instead of "danish-foundation-models/danish-dynaword" +name = "../." # instead of "danish-foundation-models/danish-gigaword-2" dataset = load_dataset("../.", split="train") # make transformations here ``` > Note: While it is local Huggingface still uses a cache, therefore you might need to reset it after changes have been made to see that it works correctly. You can do this by deleting the cached files which you can locate using `dataset.cache_files`. -## Adding a new dataset - -To add a new dataset you will have to create a folder under `data/{dataset_name}/`, which should look as follows: - -``` - data/dataset_name - |- dataset_name.md - |- dataset_name.parquet - |- create.py # optional -``` - -The create.py is an optional python script that allow you to recreate the dataset from the source. This is typically to allow us to reproduce the -dataset with fixes or update the dataset to the latest version using an API. - ## Installing dependencies This repo comes with a few dependencies you need to install to make this run. It uses a [makefile](https://opensource.com/article/18/8/what-how-makefile) to run commands and a [uv](https://docs.astral.sh/uv/) for package management. Once you have uv installed you can install the dependencies using: @@ -60,40 +45,12 @@ Creating a PR on Huggingface is a bit different from creating one on Github. git fetch origin refs/pr/{PR NUMBER}:pr/{PR NUMBER} git checkout pr/{PR NUMBER} # make your changes here - # push to hub -# you might need to first login: -# huggingface-cli login git push origin pr/{PR NUMBER}:refs/pr/{PR NUMBER} ``` -Before you make the PR do be sure to make sure that you have completed the following checklist. - -### Checklist +Before you make the PR do be sure to make sure that the tests have been run. -- [ ] I have run the test suite using `make test` and all tests pass -- [ ] I have added/changed a dataset and have - - [ ] I have updated descriptive statistics using `make update-descriptive-statistics` - - [ ] I have bumped the version use `make bump-version` -- [ ] If I have added a `create.py` script I have added the [script dependencies](https://docs.astral.sh/uv/guides/scripts/#declaring-script-dependencies) required to run that script. -- [ ] I have updated the CHANGELOG.md if appropriate - - -### Examples of Previous PRs To see example PR you can see the following: -- [Restructuring columns in the dataset](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/11) -- [Adding a new dataset](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/15) -- Updated [dataset description and metadata](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/20) - -## Frequently asked questions - -### Do you accept synthetic dataets - -Yes we do generally accept synthetic datasets since it will likely be a promising research direction for low- to mid-resource languages. -However, you should be aware that synthetic dataset will probably require a more detailed examination and description. -We will for instance examine the quality of the synthetic subset and whether the model used for the creation permits resharing of the synthetic data under permissible licenses. - -### Do you accept non-Danish data - -Generally this repository is intended for Danish text, however quite broadly defined. For instance, we do accept data containing [code-switching](https://www.google.com/search?client=safari&rls=en&q=code+switching&ie=UTF-8&oe=UTF-8) and historical Danish text. \ No newline at end of file +- [Restructuring columns in the dataset](https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/discussions/11) diff --git a/README.md b/README.md index 7c47d20c6d6cfb1557d50f30904cb14bea1c1527..3c473d1474c40bb11d2c6b62e818807cf1e20119 100644 --- a/README.md +++ b/README.md @@ -5,38 +5,6 @@ configs: data_files: - split: train path: 'data/*/*.parquet' -- config_name: ai-aktindsigt - data_files: - - split: train - path: data/ai-aktindsigt/*.parquet -- config_name: cellar - data_files: - - split: train - path: data/cellar/*.parquet -- config_name: danske-taler - data_files: - - split: train - path: data/danske-taler/*.parquet -- config_name: eur-lex-sum-da - data_files: - - split: train - path: data/eur-lex-sum-da/*.parquet -- config_name: miljoeportalen - data_files: - - split: train - path: data/miljoeportalen/*.parquet -- config_name: fm-udgivelser - data_files: - - split: train - path: data/fm-udgivelser/*.parquet -- config_name: memo - data_files: - - split: train - path: data/memo/*.parquet -- config_name: opensubtitles - data_files: - - split: train - path: data/opensubtitles/*.parquet - config_name: retsinformationdk data_files: - split: train @@ -121,10 +89,6 @@ configs: data_files: - split: train path: data/relig/*.parquet -- config_name: nota - data_files: - - split: train - path: data/nota/*.parquet annotations_creators: - no-annotation language_creators: @@ -148,23 +112,17 @@ language_bcp47: - +https://github.com/huggingface/datasets/blob/main/templates/README_guide.md --> # 🧨 Danish Dynaword +| | | +| ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **Language** | dan, dansk, Danish | +| **License** | Permissible, See the respective dataset | +| **Models** | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models) | +| **Contact** | If you have question about this project please create an issue [here](https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/discussions) | - -| | | -| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- | -| **Version** | 1.0.11 ([Changelog](/CHANGELOG.md)) | -| **Language** | dan, dansk, Danish | -| **License** | Permissible, See the respective dataset | -| **Models** | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models) | -| **Contact** | If you have question about this project please create an issue [here](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions) | - - ## Table of Contents - [🧨 Danish Dynaword](#-danish-dynaword) @@ -181,21 +139,12 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md - [Curation Rationale](#curation-rationale) - [Annotations](#annotations) - [Source Data](#source-data) - - [Dataset Statistics](#dataset-statistics) - [Additional Information](#additional-information) - [Contributing to the dataset](#contributing-to-the-dataset) - [Citation Information](#citation-information) - - [Notice and takedown policy](#notice-and-takedown-policy) ## Dataset Description - -- **Language**: dan, dansk, Danish -- **Number of samples**: 588.92K -- **Number of tokens (Llama 3)**: 1.85B -- **Average document length (characters)**: 9245.09 - - ### Dataset Summary @@ -248,19 +197,16 @@ The dataset contains text from different sources which are thoroughly defined in Each entry in the dataset consists of a single text with associated metadata - ```py { - "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]", - "source": "adl", - "id": "adl_aakjaer06val", - "added": "2020-09-14", - "created": "1700-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "Archive for Danish Literature" - } + "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL...", + "source": "adl", + "id": "adl_aakjaer06val", + "added": "2020-09-14", + "created": "1700-01-01, 2022-01-01", + "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", + "domain": "Wiki & Books", + "metadata": {"source-pretty": "Archive for Danish Literature"}, } ``` @@ -277,7 +223,7 @@ An entry in the dataset consists of the following fields: - `domain` (`str`): The domain of the source - `metadata/source-pretty` (`str`): The long form version of the short-form source name - `metadata/*`: Potentially additional metadata - + ### Data Splits @@ -297,100 +243,34 @@ This data generally contains no annotation besides the metadata attached to each Below follows a brief overview of the sources in the corpus along with their individual license. - -| 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 License 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 -[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 -[memo]: data/memo/memo.md -[opensubtitles]: data/opensubtitles/opensubtitles.md -[retsinformationdk]: data/retsinformationdk/retsinformationdk.md -[ep]: data/ep/ep.md -[ft]: data/ft/ft.md -[wikisource]: data/wikisource/wikisource.md -[spont]: data/spont/spont.md -[tv2r]: data/tv2r/tv2r.md -[adl]: data/adl/adl.md -[hest]: data/hest/hest.md -[skat]: data/skat/skat.md -[dannet]: data/dannet/dannet.md -[retspraksis]: data/retspraksis/retspraksis.md -[wikibooks]: data/wikibooks/wikibooks.md -[jvj]: data/jvj/jvj.md -[gutenberg]: data/gutenberg/gutenberg.md -[botxt]: data/botxt/botxt.md -[depbank]: data/depbank/depbank.md -[naat]: data/naat/naat.md -[synne]: data/synne/synne.md -[wiki]: data/wiki/wiki.md -[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md -[relig]: data/relig/relig.md -[nota]: data/nota/nota.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 -[Apache 2.0]: https://www.apache.org/licenses/LICENSE-2.0 -[Danish Copyright Law]: ./data/retsinformationdk/retsinformationdk.md#license-information -[DanNet 1.0 License]: ./data/dannet/dannet.md#license-information -[Gutenberg License]: ./data/gutenberg/gutenberg.md#license-information - - - -You can learn more about each dataset by pressing the link. - - - - - -### Dataset Statistics - - - - - +| Source | License | +| ----------------- | -------------------------------------------------------- | +| adl | Creative Commons Legal Code 1.0 Universal | +| botxt | Creative Commons Legal Code 1.0 Universal | +| dannet | [dannet license] | +| depbank | Attribution-ShareAlike 4.0 International | +| ep | Creative Commons Legal Code 1.0 Universal | +| ft | Creative Commons Legal Code 1.0 Universal | +| gutenberg | [gutenberg license] | +| hest | Creative Commons Legal Code 1.0 Universal | +| jvj | Attribution-ShareAlike 4.0 International | +| naat | Creative Commons Legal Code 1.0 Universal | +| relig | Creative Commons Legal Code 1.0 Universal | +| retsinformationdk | [Other (Danish Law)] | +| retspraksis | Creative Commons Legal Code 1.0 Universal | +| skat | Creative Commons Legal Code 1.0 Universal | +| spont | Creative Commons Legal Code 1.0 Universal | +| synne | Creative Commons Legal Code 1.0 Universal | +| tv2r | [Custom, Creative Commons Attribution 4.0 International] | +| wiki | Creative Commons Legal Code 1.0 Universal | +| wikibooks | Creative Commons Legal Code 1.0 Universal | +| wikisource | Creative Commons Legal Code 1.0 Universal | + +[Custom, Creative Commons Attribution 4.0 International]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/tv2r/tv2r.md#license-information +[gutenberg license]: https://www.gutenberg.org/policy/license.html +[dannet license]: https://cst.ku.dk/projekter/dannet/license.txt +[Other (Danish Law)]: https://huggingface.co/datasets/danish-foundation-models/danish-gigaword-2/blob/main/data/retsinformationdk/retsinformationdk.md#license-information + ## Additional Information @@ -402,20 +282,3 @@ We welcome contributions to the dataset such as new sources, better data filteri ### Citation Information This version expand upon existing dataset sources such as the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite the source of the dataset when using these datasets. - -### 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: -- Clearly identify yourself with detailed contact information such as an address, a telephone number, or an email address at which you can be contacted. -- 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. - ---- - -

- - - - A Danish Foundation Models dataset -

\ No newline at end of file diff --git a/data/adl/adl.md b/data/adl/adl.md index 5d4dbd744906f21b83be578074ffd79b825b06bd..ff296079e753ef4c0c0788b4d6488635658befe7 100644 --- a/data/adl/adl.md +++ b/data/adl/adl.md @@ -3,7 +3,7 @@ pretty_name: Archive for Danish Literature language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,89 +11,47 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - -# Dataset Card for Archive for Danish Literature - +# Dataset Card for Archive for Danish Literature ## Dataset Description - - -Danish literature from 1700-2023 from the Archive for Danish Literature (ADL). - - -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). - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 498 -- **Number of tokens (Llama 3)**: 58.49M -- **Average document length (characters)**: 324932.24 - - - - -## Dataset Structure +- **Number of records:** 498 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]", - "source": "adl", - "id": "adl_aakjaer06val", - "added": "2020-09-14", - "created": "1700-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "Archive for Danish Literature" - } + 'text': 'SAMLEDE VÆRKER + +JEPPE AAKJÆR GYLDENDALSKE BOGHANDE', + 'source': 'adl', + 'id': 'adl_aakjaer06val', + 'added': '2020-09-14', + 'created': '1700-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Wiki & Books', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': ' Archive for Danish Literature' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: +## Data Fields -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/adl/descriptive_stats.json b/data/adl/descriptive_stats.json deleted file mode 100644 index 5e22e751d0a022f6ad20649390260f75ddb45ba0..0000000000000000000000000000000000000000 --- a/data/adl/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 498, "average_document_length": 324932.2429718876, "number_of_tokens": 58493311, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/adl/images/dist_document_length.png b/data/adl/images/dist_document_length.png deleted file mode 100644 index 422ed08425ddb907af49d343b7f2250d8e41f454..0000000000000000000000000000000000000000 --- a/data/adl/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:297677d067d7831f90c4d539c1d160af2087a25119691bbfda61e95de62ca5f5 -size 539222 diff --git a/data/ai-aktindsigt/ai-aktindsigt.md b/data/ai-aktindsigt/ai-aktindsigt.md deleted file mode 100644 index f31fbced3a50b9ace3104800478d79fe2d22d6df..0000000000000000000000000000000000000000 --- a/data/ai-aktindsigt/ai-aktindsigt.md +++ /dev/null @@ -1,90 +0,0 @@ ---- -pretty_name: AI Aktindsigt -language: - - da -license: apache-2.0 -license_name: Apache License 2.0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling -source_datasets: - - AI-aktindsigt/Skrabet_kommunale_hjemmesider ---- - -# Dataset Card for AI Aktindsigt - - -Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project. - - -The dataset consists of multiple scrapes of municipal websites compiled in connection with the work on the [AI-aktindsigt](https://ai-aktindsigt.dk) project. The scrape is made across different domains from several different municipalities. - -## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 200.91K -- **Number of tokens (Llama 3)**: 139.23M -- **Average document length (characters)**: 2030.75 - - - -## Dataset Structure -An example from the dataset looks as follows. - - - -```py -{ - "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", - "license": "Apache-2.0", - "domain": "Web", - "metadata": { - "source-pretty": "AI Aktindsigt" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - - - -### Sourced data -This dataset is derived from [`AI-aktindsigt/Skrabet_kommunale_hjemmesider`](https://huggingface.co/datasets/AI-aktindsigt/Skrabet_kommunale_hjemmesider/tree/main -) - -### Citation Information - -No citation is applicable for this work. We recommend citing the huggingface repository. \ No newline at end of file diff --git a/data/ai-aktindsigt/ai-aktindsigt.parquet b/data/ai-aktindsigt/ai-aktindsigt.parquet deleted file mode 100644 index c6eeae4a48c3e6acc7c263655add86617172550f..0000000000000000000000000000000000000000 --- a/data/ai-aktindsigt/ai-aktindsigt.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b395bdf2fe3c9f7beb8b7073a1aea72952237e2a63965302ebd199ca46af632a -size 213799195 diff --git a/data/ai-aktindsigt/create.py b/data/ai-aktindsigt/create.py deleted file mode 100644 index e8f352636aacfb5b073fa5562577ab719429971d..0000000000000000000000000000000000000000 --- a/data/ai-aktindsigt/create.py +++ /dev/null @@ -1,64 +0,0 @@ -# /// script -# requires-python = ">=3.12" -# dependencies = [ -# "datasets>=3.2.0", -# ] -# /// -""" -This script is used to create the data for the AI-aktindsigt project. - -This derived the data from a .json.gz file. -""" - -from pathlib import Path -from typing import cast - -from datasets import Dataset, load_dataset - -source = "ai-aktindsigt" - - -def convert_sample(example): - # {'text': 'Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000', - # 'id': '0_03fe7662f6d37df0ffbf5013907414f935350db9931043891a95ed830965a507a7bcb4df93741429bdfa4958cf25f6c273aa73146f2be80948f767eb5fa04645', - # 'source': 'AI-aktindsigt', - # 'added': '2024-04-16T12:35:52.000Z', - # 'metadata': {'url': 'https://vallensbaek.dk/', 'kommune': 'vallensbaek', 'sentence': 1, - # 'ppl_score': [634.6341], - # 'sha512': '03fe7662f6d37df0ffbf5013907414f935350db9931043891a95ed830965a507a7bcb4df93741429bdfa4958cf25f6c273aa73146f2be80948f767eb5fa04645'} - # } - - new_example = dict( - text_new=example["text"], - source=source, - domain="Web", - license="Apache-2.0", - added="2025-03-24", - created="2010-01-01, 2024-03-18", # Start date is approximate guess end date is the date of the last update - metadata={"source-pretty": "AI Aktindsigt"}, - ) - - return new_example - - -def main(): - data_path = Path( - "/work/dfm-data/pre-training/ai_aktindsigt/documents/ai_aktindsigt.jsonl.gz" - ) - ds = load_dataset("json", data_files=data_path.as_posix(), split="train") - - ds = cast(Dataset, ds) - - ds = ds.map(convert_sample, remove_columns=ds.column_names) - ds = ds.rename_columns({"text_new": "text"}) - ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))]) # type: ignore - ds = ds.select_columns( - ["text", "source", "id", "added", "created", "license", "domain", "metadata"] - ) - - save_path = Path(__file__).parent / f"{source}.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/ai-aktindsigt/descriptive_stats.json b/data/ai-aktindsigt/descriptive_stats.json deleted file mode 100644 index b94abe09343f085f542ee0dd0698c3daec0cd15b..0000000000000000000000000000000000000000 --- a/data/ai-aktindsigt/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 200914, - "average_document_length": 2030.7490916511542, - "number_of_tokens": 139234696, - "language": "dan, dansk, Danish", - "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9" -} \ No newline at end of file diff --git a/data/ai-aktindsigt/images/dist_document_length.png b/data/ai-aktindsigt/images/dist_document_length.png deleted file mode 100644 index d000ef693441d945ead1cb10de35fcc30d8dbc4d..0000000000000000000000000000000000000000 --- a/data/ai-aktindsigt/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ffd9fd1eec77175d6957fe7efff104e37a2343f24ce521300c479b8e448e023e -size 183951 diff --git a/data/botxt/botxt.md b/data/botxt/botxt.md index abd7bb84d760530d64765897dd2b3f1ecddb61be..2428d8ad0a694ea84f6ba6b201d26316c2d0ba1a 100644 --- a/data/botxt/botxt.md +++ b/data/botxt/botxt.md @@ -1,9 +1,9 @@ --- -pretty_name: Bornholmsk +pretty_name: Bornholmsk (Danish dialect) language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,88 +11,47 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - -# Dataset Card for Bornholmsk - +# Dataset Card for Bornholmsk (Danish dialect) ## Dataset Description - - -The Bornholmsk Ordbog Dictionary Project - - -Fictional texts of various kinds written in Bornholmsk, the dialect spoken on the Danish island of Bornholm (The language code for Bornholmsk under IETF BCP-47 is da-bornholm), have been digitized (OCR’ed and proofread) by volunteers working within the recently resumed Bornholmsk Ordbog dictionary project (Kjeldsen, 2019). Most of the material included is written by Otto J. Lund in the period 1930-48 (novels, short stories, and poems). The Bornholmsk subcorpus, which in its present state amounts to circa 400 K words, also includes folk stories published by J. P. Kuhre in 1938, and by K. M. Kofoed in 1935, fictional letters by various authors published in the 1930s, as well as poems by Alfred Jensen published in 1948 and various other texts from the same period. The non-standardized orthography varies considerably from source to source. The Bornholmsk part of the Danish Gigaword is a significantly extended dataset, well beyond that studied in earlier NLP work on the dialect [(Derczynski and Kjeldsen, 2019)](https://aclanthology.org/W19-6138/). - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 106 -- **Number of tokens (Llama 3)**: 847.97K -- **Average document length (characters)**: 18972.42 - - - - -## Dataset Structure +- **Number of records:** 106 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Ræua-Lârs\n\nRæua-Lârs å hans Konna, Stina, bode uda i Torpabakkana. Hanj hed nok æjla Lârs\nNielsen, m[...]", - "source": "botxt", - "id": "botxt_0000040", - "added": "2024-05-16", - "created": "2000-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Other", - "metadata": { - "source-pretty": "Bornholmsk (Danish dialect)" - } + 'text': 'Ræua-Lârs + +Ræua-Lârs å hans Konna, Stina, bode uda', + 'source': 'botxt', + 'id': 'botxt_0000040', + 'added': '2024-05-16', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Other', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Bornholmsk (Danish dialect)' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/botxt/descriptive_stats.json b/data/botxt/descriptive_stats.json deleted file mode 100644 index 4b4743591a991a60d30528b5fabbf7080658d952..0000000000000000000000000000000000000000 --- a/data/botxt/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 106, "average_document_length": 18972.415094339623, "number_of_tokens": 847973, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/botxt/images/dist_document_length.png b/data/botxt/images/dist_document_length.png deleted file mode 100644 index 8bb7bbb92bdda5dcbb37e98a052b8f8c8f5903c6..0000000000000000000000000000000000000000 --- a/data/botxt/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e98f2f59f8cbe8be5691f1d7c073b2c13361d331546f9451d24b27fcde649f6c -size 541184 diff --git a/data/cellar/cellar.md b/data/cellar/cellar.md deleted file mode 100644 index d6b11b45691593cc6b74eff818c7b3d82e6e90c7..0000000000000000000000000000000000000000 --- a/data/cellar/cellar.md +++ /dev/null @@ -1,82 +0,0 @@ ---- -pretty_name: Cellar -language: - - da -license: cc-by-sa-4.0 -license_name: CC-BY-SA 4.0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling ---- - -# Dataset Card for Finansministeriets Udgivelser - - -The official digital repository for European Union legal documents and open data. - - -The EU Dataset Cellar serves as the central access point for all official EU publications, legislation, and open data resources. Maintained by the Publications Office of the European Union, this comprehensive digital archive contains millions of documents in multiple languages, including regulations, directives, decisions, treaties, case law, and preparatory acts dating back decades. The repository employs standardized metadata and unique identifiers to organize its vast collection, making it an essential resource for researchers, legal professionals, policymakers, and citizens seeking authoritative information on EU law and policy. The Cellar's linked data architecture also enables sophisticated search capabilities and integration with other information systems across the European Union's digital landscape. - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 65.74K -- **Number of tokens (Llama 3)**: 1.28B -- **Average document length (characters)**: 64221.30 - - - -## Dataset Structure -An example from the dataset looks as follows. - - - -```py -{ - "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", - "license": "cc-by-sa-4.0", - "domain": "Legal", - "metadata": { - "source-pretty": "Cellar" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - -### Citation Information - -No citation is applicable for this work. \ No newline at end of file diff --git a/data/cellar/cellar.parquet b/data/cellar/cellar.parquet deleted file mode 100644 index 9687bac8628f389dcf042f343a0169765bb2ee59..0000000000000000000000000000000000000000 --- a/data/cellar/cellar.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:90fb4cadd0d6ab84c7e1c6e9029210e0bfadaa1d9a503240067d4069d38b9bcd -size 1433372916 diff --git a/data/cellar/create.py b/data/cellar/create.py deleted file mode 100644 index ecdd223b3aaacfce19255a6ed3a3f7a24b91e3c5..0000000000000000000000000000000000000000 --- a/data/cellar/create.py +++ /dev/null @@ -1,60 +0,0 @@ -# /// script -# requires-python = ">=3.12" -# dependencies = [ -# "datasets>=3.2.0", -# ] -# /// - -from pathlib import Path -from typing import cast -from datasets import Dataset, load_dataset, concatenate_datasets - -source = "cellar" - - -def convert_sample(example): - new_example = dict( - text_new=example["text"], - source=source, - domain="Legal", - license="cc-by-sa-4.0", - added="2025-03-25", - created="2024-01-01, 2026-01-01", # Scrape happened within these years - data likely written earlier - metadata={"source-pretty": "Cellar"}, - ) - - return new_example - - -def main(): - data_path = Path("/work/dfm-data/pre-training/cellar/documents") - data_paths = [p.as_posix() for p in data_path.glob("DAN*.jsonl.gz")] - dfs = [] - for i, path in enumerate(data_paths): - print(i, path.split("/")[-1]) - try: - ds = load_dataset( - "json", data_files=path, split="train" - ) # a few datasets fail to load - dfs.append(ds) - print("\tSuccess") - except Exception: - print("\tFail") - - ds = concatenate_datasets(dsets=dfs) - - ds = cast(Dataset, ds) - - ds = ds.map(convert_sample, remove_columns=ds.column_names) - ds = ds.rename_columns({"text_new": "text"}) - ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))]) # type: ignore - ds = ds.select_columns( - ["text", "source", "id", "added", "created", "license", "domain", "metadata"] - ) - - save_path = Path(__file__).parent / f"{source}.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/cellar/descriptive_stats.json b/data/cellar/descriptive_stats.json deleted file mode 100644 index 89a4a4a17e52c1d5a83658af99a0523729cee332..0000000000000000000000000000000000000000 --- a/data/cellar/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 65736, - "average_document_length": 64221.30202628697, - "number_of_tokens": 1280909738, - "language": "dan, dansk, Danish", - "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9" -} \ No newline at end of file diff --git a/data/cellar/images/dist_document_length.png b/data/cellar/images/dist_document_length.png deleted file mode 100644 index 7e5ee9b42a246980503b73e83d1559cfaa6a443e..0000000000000000000000000000000000000000 --- a/data/cellar/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d55c527928475485bf7f4b8b3050f5acd773e684546afd842c59f2f57a36c4d8 -size 180660 diff --git a/data/dannet/dannet.md b/data/dannet/dannet.md index 77979bf3c01390669debb7d8550c3d316e9c9a6e..49d8ebd534362a0db8f3f5368b3a98e7e5d26148 100644 --- a/data/dannet/dannet.md +++ b/data/dannet/dannet.md @@ -1,8 +1,8 @@ --- -pretty_name: DanNet +pretty_name: DanNet (Danish WordNet) language: - da -license: other +license: DanNet 1.0 License license_name: DanNet 1.0 License size_categories: - 10k-100k @@ -11,76 +11,74 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - -# Dataset Card for DanNet - - -[DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet. - - - -A WordNet is a lexico-semantic network which show the meaning and the relation between words through named connections. It can be considered a machine-readable dictionary. - - +# Dataset Card for DanNet (Danish WordNet) ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 49.04K -- **Number of tokens (Llama 3)**: 1.52M -- **Average document length (characters)**: 90.80 - - - - -## Dataset Structure +- **Number of records:** 49040 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. +```yaml +{ + 'text': 'Når fodboldholdet fra 1. division i Ikast spiller ', + 'source': 'dannet', + 'id': 'dannet_46506', + 'added': '2020-09-24', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'dannet', + 'license': 'Commercial Use of DanNet +DanNet may be used in commercial applications in accordance with the following +license agreement. An attorney representing the commercial interest should +review this DanNet license with respect to the intended use. - -```py -{ - "text": "Når fodboldholdet fra 1. division i Ikast spiller hjemmekampe, lyder råbet ud over Ikast Stadion: We[...]", - "source": "dannet", - "id": "dannet_46506", - "added": "2020-09-24", - "created": "2000-01-01, 2022-01-01", - "license": "Commercial Use of DanNet\n\nDanNet may be used in commercial applications in accordance with the follo[...]", - "domain": "dannet", - "metadata": { - "source-pretty": "DanNet (Danish WordNet)" - } -} -``` +DanNet 1.0 License -### Data Fields +DanNet Release 2.1 -An entry in the dataset consists of the following fields: +This software and database is being provided to you, the LICENSEE, by University +of Copenhagen and Society for Danish Language and Literature under the following +license. By obtaining, using and/or copying this software and database, you +agree that you have read, understood, and will comply with these terms and +conditions. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +Permission to use, copy, modify and distribute this software and database and +its documentation for any purpose and without fee or royalty is hereby granted, +provided that you agree to comply with the following copyright notice and +statements, including the disclaimer, and that the same appear on ALL copies of +the software, database and documentation, including modifications that you make +for internal use or for distribution. +THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND UNIVERSITY OF COPENHAGEN and +SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO REPRESENTATIONS OR +WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, +UNIVERSITY OF COPENHAGEN AND SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO +REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR +PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL +NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS. -### Dataset Statistics +The names of University of Copenhagen and Society for Danish Language and +Literature may not be used in advertising or publicity pertaining to +distribution of the software and/or database. Title to copyright in this +software, database and any associated documentation shall at all times remain +with University of Copenhagen and Society for Danish Language and Literature and +LICENSEE agrees to preserve same. - - - - +DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish', + 'source-pretty': 'DanNet (Danish WordNet)' + } +} +``` +## Data Fields +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. ## License Information
@@ -127,24 +125,3 @@ LICENSEE agrees to preserve same. DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish

- - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` diff --git a/data/dannet/descriptive_stats.json b/data/dannet/descriptive_stats.json deleted file mode 100644 index 6ad8a82d629f23d5cd80b0678a8b6153973b35d1..0000000000000000000000000000000000000000 --- a/data/dannet/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 49040, "average_document_length": 90.80340538336053, "number_of_tokens": 1523416, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/dannet/images/dist_document_length.png b/data/dannet/images/dist_document_length.png deleted file mode 100644 index 939cf399fc01d1f9b52292d4d9c4e925592aaf7f..0000000000000000000000000000000000000000 --- a/data/dannet/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:91dca32a1fd83b3699bb8ebae083dc697a0dac4b703ada720381448216ea0117 -size 537751 diff --git a/data/danske-taler/create.py b/data/danske-taler/create.py deleted file mode 100644 index 6911f28ae15760bf61aec887a42f89b5fb12547e..0000000000000000000000000000000000000000 --- a/data/danske-taler/create.py +++ /dev/null @@ -1,227 +0,0 @@ -# /// script -# requires-python = ">=3.12" -# dependencies = [ -# "beautifulsoup4==4.13.3", -# "datasets>=3.0.0", -# ] -# /// -""" -Danske Taler API Downloader -This script downloads speeches/articles from the Danske Taler API: https://www.dansketaler.dk/api/v1 - -It saves it into the following structure: - -``` -{ - "text": "Lav et referat af nedenstående tekst:\n\nTekst:\nOpdatering: Manden er nu fundet af Nordjyllands Politi[...]", - "source": "nordjyllandnews", - "id": "nordjyllandnews_0", - "added": "2024-12-16", - "created": "2000-01-01, 2024-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "News", - "metadata": { - "source-pretty": "Nordjylland News" - } -} -``` - -""" - -import logging -import time -from datetime import date -from pathlib import Path -from typing import Any - -import datasets -import pandas as pd -import requests -from bs4 import BeautifulSoup -from tqdm import tqdm - -logger = logging.getLogger(__name__) - -# Configuration -API_BASE_URL = "https://www.dansketaler.dk/api/v1" - - -def get_all_speeches() -> list[dict[str, Any]]: - # fetch first page, notably the total number of pages - url = f"{API_BASE_URL}/speeches" - response = requests.get(url) - response.raise_for_status() - speeches = response.json() - meta = speeches["meta"] - total_pages = meta["total_pages"] - - # fetch all pages - all_speeches = [] - for page in range(1, total_pages + 1): - url = f"{API_BASE_URL}/speeches?page={page}" - response = requests.get(url) - response.raise_for_status() - speeches = response.json() - all_speeches.extend(speeches["speeches"]) - - return all_speeches - - -def fetch_license_div( - url: str, max_retries: int = 3, backoff_factor: float = 0.5 -) -> str | None: - """ - Fetches the license div from the page with retry logic. - - Args: - url: The URL to fetch the license div from - max_retries: Maximum number of retry attempts - backoff_factor: Factor to determine exponential backoff time between retries - - Returns: - The text content of the license div if found, None otherwise - """ - retries = 0 - - while retries <= max_retries: - try: - response = requests.get(url, timeout=10) - response.raise_for_status() - - soup = BeautifulSoup(response.text, "html.parser") - license_div = soup.find("div", class_="speech-copyright") - - return license_div.text if license_div else None - - except (requests.RequestException, AttributeError) as e: - retries += 1 - - if retries > max_retries: - 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...") - time.sleep(wait_time) - - return None - - -def convert_to_license(license_information: str | None) -> str | None: - """checks if "Materialet er fri af ophavsret" is in the page""" - - if license_information and ( - ("Materialet er fri af ophavsret" in license_information) - or ("Materialet er fri af ophvasret" in license_information) - or ("Ophavsretten er bortfaldet" in license_information) - or ("Manuskriptet er fri af ophavsret" in license_information) - or ("Offentlig " == license_information) - ): - return "cc0" - - return license_information - - -def convert_to_row(speech_meta: dict[str, Any]) -> dict[str, Any]: - speech_id = speech_meta["id"] - - date_of_speech = speech_meta["date"]["iso_date"] - date_of_speech_start = f"{date_of_speech}" - date_of_speech_end = f"{date_of_speech}" - - license_information = fetch_license_div(speech_meta["url"]) - - row = { - "text": speech_meta["transcription"], - "source": "danske-taler", - "id": f"danske-taler_{speech_id}", - # current date - "added": date.today().isoformat(), - "created": f"{date_of_speech_start}, {date_of_speech_end}", - "license_information": license_information, - "domain": "Spoken", - "metadata": {"source-pretty": "Danske Taler"}, - } - - return row - - -def download_speeches() -> pd.DataFrame: - logger.info("Fetching all speeches from Danske Taler API") - speeches = get_all_speeches() - logger.info(f"Found {len(speeches)} speeches") - - rows = [] - for speech in tqdm(speeches): - row = convert_to_row(speech) - rows.append(row) - - logger.info(f"Saving {len(rows)} speeches to dataset") - df = pd.DataFrame(rows) - return df - - -def main(): - save_path = Path(__file__).parent / "danske-taler.parquet" - save_path_all = Path(__file__).parent / "tmp" / "danske-taler-all.parquet" - save_path_all.parent.mkdir(parents=False, exist_ok=True) - - if save_path_all.exists(): - logger.info(f"Loading dataset from {save_path_all}") - df = pd.read_parquet(save_path_all) - else: - logger.info(f"Downloading speeches and saving to {save_path_all}") - df = download_speeches() - df.to_parquet(save_path_all) - - licenses = [convert_to_license(license) for license in df["license_information"]] - df["license"] = licenses - - uniques_licenses = set(df["license"].tolist()) - logger.info("Unique licenses:") - for license in uniques_licenses: - logger.info(f"\t{license}") - - # remove documents without a cc0 license - len_df = len(df) - df = df[df["license"] == "cc0"] - logger.info(f"Removed {len_df - len(df)} documents without a cc0 license") - - # remove duplicate ids - len_df = len(df) - df = df.drop_duplicates(subset=["id"]) - logger.info(f"Removed {len_df - len(df)} duplicate ids") - - # remove rows with empty text - len_df = len(df) - df = df[df["text"].str.strip() != ""] - logger.info(f"Removed {len_df - len(df)} rows with empty text") - - # remove rows with duplicate text - len_df = len(df) - df = df.drop_duplicates(subset=["text"]) - logger.info(f"Removed {len_df - len(df)} rows with duplicate text") - - dataset = datasets.Dataset.from_pandas(df) - assert len(set(dataset["id"])) == len(dataset), "IDs are not unique" - assert len(set(dataset["text"])) == len(dataset), "Texts are not unique" - assert len(set(dataset["license"])) == 1, "Multiple licenses found" - - # check for html tags in text - assert not df["text"].str.contains("<[^>]*>").any(), "HTML tags found in text" - - dataset.to_parquet(save_path) - - -if __name__ == "__main__": - log_path = Path(__file__).parent / "danske-taler.log" - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s - %(levelname)s - %(message)s", - handlers=[ - logging.StreamHandler(), - logging.FileHandler(log_path), - ], - ) - main() diff --git a/data/danske-taler/danske-taler.log b/data/danske-taler/danske-taler.log deleted file mode 100644 index 9e2b0f9906c5e9a2b296cb98e30f8db463045ed0..0000000000000000000000000000000000000000 --- a/data/danske-taler/danske-taler.log +++ /dev/null @@ -1,57 +0,0 @@ -2025-03-29 14:14:08,846 - INFO - Downloading speeches and saving to /work/githubs/tmp/danish-dynaword/data/danske-taler/tmp/danske-taler-all.parquet -2025-03-29 14:14:08,847 - INFO - Fetching all speeches from Danske Taler API -2025-03-29 14:15:19,326 - INFO - Found 4725 speeches - 13%|██████████▏ | 597/4725 [01:22<11:15, 6.11it/s]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/niels-hoejlund-pedersens-translokationstale-2020 - 17%|██████████████ | 818/4725 [01:57<09:00, 7.23it/s]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/katrine-lykke-pedersens-tale-til-unge-om-haab-i-en-coronatid - 17%|█████████████▋ | 820/4725 [02:01<1:05:16, 1.00s/it]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/anastacia-halkens-tale-til-unge-om-haab-i-en-coronatid - 18%|██████████████▏ | 828/4725 [02:07<17:53, 3.63it/s]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/thomas-vinterbergs-tale-ved-modtagelsen-af-oscar-prisen - 22%|█████████████████▋ | 1042/4725 [02:41<10:04, 6.09it/s]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/pernille-vermunds-tale-ved-folketingets-aabningsdebat-2021 - 22%|█████████████████▉ | 1059/4725 [02:48<08:22, 7.30it/s]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/pernille-vermunds-tale-ved-nye-borgerliges-aarsmoede-2021 - 22%|█████████████████▌ | 1061/4725 [02:52<1:01:08, 1.00s/it]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/mette-thiesens-tale-ved-nye-borgerliges-aarsmoede-2021 - 22%|█████████████████▌ | 1062/4725 [02:57<2:00:22, 1.97s/it]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/peter-seier-christensens-tale-ved-nye-borgerliges-aarsmoede-2021 - 34%|███████████████████████████▍ | 1617/4725 [04:25<07:09, 7.24it/s]Attempt 1 failed. Retrying in 0.50 seconds... -Attempt 2 failed. Retrying in 1.00 seconds... -Attempt 3 failed. Retrying in 2.00 seconds... -Failed to fetch license after 3 attempts: 500 Server Error: Internal Server Error for url: https://www.dansketaler.dk/tale/silke-ena-svares-tale-ved-demonstrationen-for-born-og-unge -100%|████████████████████████████████████████████████████████████████████████████████| 4725/4725 [12:43<00:00, 6.19it/s] -2025-03-29 14:28:02,454 - INFO - Saving 4725 speeches to dataset -2025-03-29 14:28:03,330 - INFO - Unique licenses: -2025-03-29 14:28:03,331 - INFO - None -2025-03-29 14:28:03,331 - INFO - Materialet er beskyttet af ophavsret -2025-03-29 14:28:03,331 - INFO - cc0 -2025-03-29 14:28:03,331 - INFO - Materialet er beskyttet af ophavsret, da talen ikke er holdt i offentligheden. -2025-03-29 14:28:03,331 - INFO - Materialet er omfattet af ophavsret -2025-03-29 14:28:03,331 - INFO - Manuskript taget fra ft.dk. med tilladelse fra udgiver. -2025-03-29 14:28:03,331 - INFO - Materialet et beskyttet af ophavsret -2025-03-29 14:28:03,331 - INFO - Manuskript taget fra ft.dk med tilladelse fra udgiver. -2025-03-29 14:28:03,331 - INFO - Materialet er beskyttet af ophavsret -2025-03-29 14:28:03,331 - INFO - Materialet er beskyttet af ophavsret -2025-03-29 14:28:03,461 - INFO - Removed 2063 documents without a cc0 license -2025-03-29 14:28:03,541 - INFO - Removed 0 duplicate ids -2025-03-29 14:28:03,549 - INFO - Removed 2 rows with empty text -2025-03-29 14:28:03,631 - INFO - Removed 2 rows with duplicate text -Creating parquet from Arrow format: 100%|██████████████████████████████████████████████████| 3/3 [00:00<00:00, 11.33ba/s] diff --git a/data/danske-taler/danske-taler.md b/data/danske-taler/danske-taler.md deleted file mode 100644 index 4f1076430262ae978485bc14f7d1acd722c76ecb..0000000000000000000000000000000000000000 --- a/data/danske-taler/danske-taler.md +++ /dev/null @@ -1,138 +0,0 @@ ---- -pretty_name: Danske Taler -language: - - da -license: cc0-1.0 -license_name: CC-0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling ---- - -# Dataset Card for Nordjylland News - - -Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk) - - - -The database dansketaler.dk is managed by Danske Taler, an independent institution that in addition to managing the database and carries out cultural -and democratic projects based on speeches. -Danske Taler state as their goals that they seek to preserve our cultural heritage and promotes active citizenship and democratic confidence through its work. -Additionally, Danske Taler provides data to a number of online resources, including: lex.dk, sprogteknologi.dk, and ordnet.dk. - -The goal of the dataset is to collect historical and timely speeches and make them available for the public. - -Learn more about danske taler by reading their [about us](https://www.dansketaler.dk/om-os) page. - -## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 2.66K -- **Number of tokens (Llama 3)**: 8.23M -- **Average document length (characters)**: 9446.88 - - - -## Dataset Structure -An example from the dataset looks as follows. - - - -```py -{ - "text": "Den 1. august i år var der forløbet 25 år siden den sidste verdenskrigs udbrud. En måned senere - de[...]", - "source": "danske-taler", - "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 -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - - -### Dataset Collection Process - -This dataset was collected using the publicly available [API](https://www.dansketaler.dk/api/v1). - -### Quality Assurance -We check for and remove exact duplicates, empty texts, duplicate ids after the initial download. We additionally check if the articles contain any HTML. - -## Opportunities for Improvement - -While this dataset can be updated to include the latest availabe speeches. - -We consider the quality of the current collection high with a low chance of -incorrect formatting, -spelling errors, -empty documents or -misformatted segments. -This stems both from the quality assurance, source of documents and subjective inspection. - -### License Information -Since the license information isn't avaiable through the API we collect this data directly from the webpage of each article under the header -"Ophavsret". - -For speeches where it is noted that *"Materialet er fri af ophavsret"* (The material is in the public domain) or similarly we assign it a `cc0` license. - -Such an example can be seen here: - -> **Ophavsret** -> -> Materialet er fri af ophavsret. Taler, som er holdt i offentligheden, er ikke omfattet af ophavsret (Jf. ophavsretslovens § 26 og 32). -> Det betyder, at når en tale er indgået i Danske Talers database, kan den bruges af tredjeparter, fx til undervisning eller forskning. -> -> *source: [Ursula von der Leyens tale om europæisk forsvar og sikkerhed på Hærens Officersskole](https://www.dansketaler.dk/tale/tale-om-europaeisk-forsvar-og-sikkerhed-pa-haerens-officersskole)* - -Speeches without this mention is removed. Such an example include: - -> **Ophavsret** -> -> Materialet er beskyttet af ophavsret -> -> *Source: [Christina Egelunds tale ved Aarhus Universitets årsfest](https://www.dansketaler.dk/tale/christina-egelunds-tale-ved-aarhus-universitets-arsfest)* - -We manually checked the unique set of license descriptions to see if any were open licenses that weren't included in the current criteria. - -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 newline at end of file diff --git a/data/danske-taler/danske-taler.parquet b/data/danske-taler/danske-taler.parquet deleted file mode 100644 index 5659c1238af7823e4a4256699fabe46f8a278b18..0000000000000000000000000000000000000000 --- a/data/danske-taler/danske-taler.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:541b5692b2f9cd0a35eb179f2b1ec6786f819ac9f16c9d3c67f5265fc458cbdc -size 15090122 diff --git a/data/danske-taler/descriptive_stats.json b/data/danske-taler/descriptive_stats.json deleted file mode 100644 index d9d9ba16292f64c5c816a66e6269611a68d37696..0000000000000000000000000000000000000000 --- a/data/danske-taler/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 2657, - "average_document_length": 9446.875799774181, - "number_of_tokens": 8225350, - "language": "dan, dansk, Danish", - "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9" -} \ No newline at end of file diff --git a/data/danske-taler/images/dist_document_length.png b/data/danske-taler/images/dist_document_length.png deleted file mode 100644 index ddc037ac5dfadeae75f5058805dfd45e7b214293..0000000000000000000000000000000000000000 --- a/data/danske-taler/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8abb94950063fe4e069fc28e9e4e03d5db685166b9696ccf83247c855320a53e -size 183685 diff --git a/data/depbank/depbank.md b/data/depbank/depbank.md index 588af775c98774eec9abfdb8658adb2994603ef2..c277ebbb4e18c0cab9362be4a5e870b393d30117 100644 --- a/data/depbank/depbank.md +++ b/data/depbank/depbank.md @@ -3,7 +3,7 @@ pretty_name: Danish Dependency Treebank language: - da license: cc-by-sa-4.0 -license_name: CC-BY-SA 4.0 +license_name: Creative Commons Attribution Share Alike 4.0 size_categories: - 1-10k task_categories: @@ -11,93 +11,41 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - # Dataset Card for Danish Dependency Treebank - - -The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT). - - - -The Danish UD treebank has been converted from the Danish Dependency Treebank (Buch-Kromman, 2003) into Universal Dependencies (UD). It consists of 5,512 sentences (100k words). The Danish source texts and the Danish part-of-speech tags were created by the PAROLE-DK project (Keson 1998) by the Danish Society for Language and Literature. - -While the dataset was initially intended as a rich annotation, this corpora only uses the raw text. - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 536 -- **Number of tokens (Llama 3)**: 185.45K -- **Average document length (characters)**: 1018.90 - - - - -## Dataset Structure +- **Number of records:** 536 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "\nH.L. Hansen var en usædvanmlig og frodig personlighed. Han skabte \nglæde og munterhed omkring sig o[...]", - "source": "depbank", - "id": "depbank_0375", - "added": "2024-05-16", - "created": "2000-01-01, 2022-01-01", - "license": "Attribution-ShareAlike 4.0 International", - "domain": "Other", - "metadata": { - "source-pretty": "Danish Dependency Treebank" - } + 'text': 'H.L. Hansen var en usædvanmlig og frodig personlig', + 'source': 'depbank', + 'id': 'depbank_0375', + 'added': '2024-05-16', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Other', + 'license': 'Attribution-ShareAlike 4.0 International', + 'source-pretty': 'Danish Dependency Treebank' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +## Data Fields + +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. + +## License Information +
+Creative Commons Attribution Share Alike 4.0 +

+Attribution-ShareAlike 4.0 International +

+
diff --git a/data/depbank/descriptive_stats.json b/data/depbank/descriptive_stats.json deleted file mode 100644 index 1a6ac6da6b42f1ed005be5d3f4ee06896a581a77..0000000000000000000000000000000000000000 --- a/data/depbank/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 536, "average_document_length": 1018.8992537313433, "number_of_tokens": 185454, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/depbank/images/dist_document_length.png b/data/depbank/images/dist_document_length.png deleted file mode 100644 index 8b0ea1fc01cd630fbc264547b970db143476a025..0000000000000000000000000000000000000000 --- a/data/depbank/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b23e81411e3f3b86bbd3990cf2e59f4a08f7dae10b908cf3101487069c0296bc -size 546560 diff --git a/data/ep/descriptive_stats.json b/data/ep/descriptive_stats.json deleted file mode 100644 index 7bde672996a7784b228a8d132c6cb689d73ef6a1..0000000000000000000000000000000000000000 --- a/data/ep/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 4213, "average_document_length": 74063.40469973891, "number_of_tokens": 100888932, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/ep/ep.md b/data/ep/ep.md index 0c4598a3980443329755c5ae9660e561db9b820d..52bec996d5638e7eda86f6eca3431de15e4ab7c7 100644 --- a/data/ep/ep.md +++ b/data/ep/ep.md @@ -3,7 +3,7 @@ pretty_name: European Parliament language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,91 +11,45 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - # Dataset Card for European Parliament - - -The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/). - - - -The europarl is a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on the web. This corpus has found widespread use in the NLP community. It was initially intended as training data for statistical machine translation. - - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 4.21K -- **Number of tokens (Llama 3)**: 100.89M -- **Average document length (characters)**: 74063.40 - - - - -## Dataset Structure +- **Number of records:** 4213 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "TALER 6703: Jeg har stemt for henstillingen om godkendelse af opdelingsanordninger til beskyttelse a[...]", - "source": "ep", - "id": "ep_07-02-01-008", - "added": "2019-11-20", - "created": "2004-01-01, 2009-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Conversation", - "metadata": { - "source-pretty": "European Parliament" - } + 'text': 'TALER 6703: Jeg har stemt for henstillingen om god', + 'source': 'ep', + 'id': 'ep_07-02-01-008', + 'added': '2019-11-20', + 'created': '2004-01-01, 2009-01-01', + 'metadata': { + 'domain': 'Conversation', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'European Parliament' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - -### Dataset Statistics - - - - - - +## Data Fields +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -## Additional Information +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/ep/images/dist_document_length.png b/data/ep/images/dist_document_length.png deleted file mode 100644 index 3451224f8785336f7e11dfa727e047bc5609cb24..0000000000000000000000000000000000000000 --- a/data/ep/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8914d9fad81bcbc519c29b7c258a256d4eb7084ed8ff9c9100a93ad87fbb4171 -size 544523 diff --git a/data/eur-lex-sum-da/create.py b/data/eur-lex-sum-da/create.py deleted file mode 100644 index 1f6cca2d889c60f4d2c0c6bc1c664280628fd658..0000000000000000000000000000000000000000 --- a/data/eur-lex-sum-da/create.py +++ /dev/null @@ -1,50 +0,0 @@ -# /// script -# requires-python = ">=3.12" -# dependencies = [ -# "datasets>=3.2.0", -# ] -# /// - -from pathlib import Path -from typing import cast - -from datasets import Dataset, load_dataset - -source = "eur-lex-sum-da" - - -def convert_sample(example): - new_example = dict( - text_new=example["text"], - source=source, - domain="Legal", - license="cc-by-sa-4.0", - added="2025-03-24", - created="2024-01-01, 2025-01-01", # Scrape happen within the year - data likely written earlier - metadata={"source-pretty": "Eur-lex-sum-da"}, - ) - - return new_example - - -def main(): - data_path = Path( - "/work/dfm-data/pre-training/eur-lex-sum-da/documents/eur-lex-sum-da.jsonl.gz" - ) - ds = load_dataset("json", data_files=data_path.as_posix(), split="train") - - ds = cast(Dataset, ds) - - ds = ds.map(convert_sample, remove_columns=ds.column_names) - ds = ds.rename_columns({"text_new": "text"}) - ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))]) # type: ignore - ds = ds.select_columns( - ["text", "source", "id", "added", "created", "license", "domain", "metadata"] - ) - - save_path = Path(__file__).parent / f"{source}.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/eur-lex-sum-da/descriptive_stats.json b/data/eur-lex-sum-da/descriptive_stats.json deleted file mode 100644 index 14e1ef19683a52fd3cd23d7e26f9dbb3f12824fd..0000000000000000000000000000000000000000 --- a/data/eur-lex-sum-da/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 1002, - "average_document_length": 87627.37025948103, - "number_of_tokens": 31367665, - "language": "dan, dansk, Danish", - "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9" -} \ No newline at end of file diff --git a/data/eur-lex-sum-da/eur-lex-sum-da.md b/data/eur-lex-sum-da/eur-lex-sum-da.md deleted file mode 100644 index 7e5abd795fa2bcf19b788d69e820ef68224cbe95..0000000000000000000000000000000000000000 --- a/data/eur-lex-sum-da/eur-lex-sum-da.md +++ /dev/null @@ -1,86 +0,0 @@ ---- -pretty_name: EUR-Lex SUM -language: - - da -license: cc-by-sa-4.0 -license_name: CC-BY-SA 4.0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling ---- - -# Dataset Card for EUR-Lex SUM - - -The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries. - - -EUR-Lex SUM is a dataset containing summaries of EU legislation from the EUR-Lex database. It consists of pairs of full legal texts and their corresponding professionally written summaries, covering European Union legal documents. -The dataset is designed for training and evaluating automatic text summarization systems, particularly for legal documents. It's valuable for natural language processing (NLP) research since it provides high-quality, human-written summaries of complex legal texts in a specialized domain. - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 1.00K -- **Number of tokens (Llama 3)**: 31.37M -- **Average document length (characters)**: 87627.37 - - - -## Dataset Structure -An example from the dataset looks as follows. - - - -```py -{ - "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", - "license": "cc-by-sa-4.0", - "domain": "Legal", - "metadata": { - "source-pretty": "Eur-lex-sum-da" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - - - - -### Citation Information - -No citation is applicable for this work. \ No newline at end of file diff --git a/data/eur-lex-sum-da/eur-lex-sum-da.parquet b/data/eur-lex-sum-da/eur-lex-sum-da.parquet deleted file mode 100644 index cd80f6df2e542e70de0c50214ed99bf0b96cb24e..0000000000000000000000000000000000000000 --- a/data/eur-lex-sum-da/eur-lex-sum-da.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:960737a58b29e80b12f5150dacd7e0559c2ec7d3f2878a626e264b92595d9c02 -size 35849965 diff --git a/data/eur-lex-sum-da/images/dist_document_length.png b/data/eur-lex-sum-da/images/dist_document_length.png deleted file mode 100644 index 40db98b25319fdeb5b6a4540ffa777bb872e5777..0000000000000000000000000000000000000000 --- a/data/eur-lex-sum-da/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a351dbe01d1d663d848ea5ceaee24903b8814cbd914818c3487a0542efb0f872 -size 185456 diff --git a/data/fm-udgivelser/create.py b/data/fm-udgivelser/create.py deleted file mode 100644 index bed0c21cb827874d9b0aaaf1e1cdfb5f8d182e97..0000000000000000000000000000000000000000 --- a/data/fm-udgivelser/create.py +++ /dev/null @@ -1,50 +0,0 @@ -# /// script -# requires-python = ">=3.12" -# dependencies = [ -# "datasets>=3.2.0", -# ] -# /// - -from pathlib import Path -from typing import cast - -from datasets import Dataset, load_dataset - -source = "fm-udgivelser" - - -def convert_sample(example): - new_example = dict( - text_new=example["text"], - source=source, - domain="Legal", - license="cc-by-sa-4.0", - added="2025-03-24", - created="2024-01-01, 2026-01-01", # Scrape happen within these years - data likely written earlier - metadata={"source-pretty": "Finansministeriets Udgivelser"}, - ) - - return new_example - - -def main(): - data_path = Path( - "/work/dfm-data/pre-training/fm-udgivelser/documents/finans-ministeriet.jsonl.gz" - ) - ds = load_dataset("json", data_files=data_path.as_posix(), split="train") - - ds = cast(Dataset, ds) - - ds = ds.map(convert_sample, remove_columns=ds.column_names) - ds = ds.rename_columns({"text_new": "text"}) - ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))]) # type: ignore - ds = ds.select_columns( - ["text", "source", "id", "added", "created", "license", "domain", "metadata"] - ) - - save_path = Path(__file__).parent / f"{source}.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/fm-udgivelser/descriptive_stats.json b/data/fm-udgivelser/descriptive_stats.json deleted file mode 100644 index b97c404e6d8502bc9108b95f787c34f47c5b0f27..0000000000000000000000000000000000000000 --- a/data/fm-udgivelser/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 443, - "average_document_length": 490101.9300225734, - "number_of_tokens": 50335291, - "language": "dan, dansk, Danish", - "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9" -} \ No newline at end of file diff --git a/data/fm-udgivelser/fm-udgivelser.md b/data/fm-udgivelser/fm-udgivelser.md deleted file mode 100644 index 3b8d0e23f6d316649a05695f1f0e4d97257e5468..0000000000000000000000000000000000000000 --- a/data/fm-udgivelser/fm-udgivelser.md +++ /dev/null @@ -1,92 +0,0 @@ ---- -pretty_name: Finansministeriets Udgivelser -language: - - da -license: cc-by-sa-4.0 -license_name: CC-BY-SA 4.0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling ---- - -# Dataset Card for Finansministeriets Udgivelser - - -The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents. - - -Finansministeriets Udgivelser (translated as "Publications of the Ministry of Finance") is the publishing arm or publication series of the Danish Ministry of Finance. It includes official reports, economic analyses, budget proposals, fiscal policy documents, and various other publications related to Denmark's public finances, economic policy, and financial governance. - -These publications typically provide insights into Denmark's economic outlook, public spending plans, tax policies, and financial reforms. They serve as important reference materials for economists, policy makers, researchers, and citizens interested in understanding Denmark's financial policies and economic direction. - -The publications are authoritative sources of information on Danish fiscal policy and are often used by various stakeholders to track and analyze the country's economic performance and public finance management. - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 443 -- **Number of tokens (Llama 3)**: 50.34M -- **Average document length (characters)**: 490101.93 - - - -## Dataset Structure -An example from the dataset looks as follows. - - - -```py -{ - "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", - "license": "cc-by-sa-4.0", - "domain": "Legal", - "metadata": { - "source-pretty": "Finansministeriets Udgivelser" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - - - -### Citation Information - -No citation is applicable for this work. \ No newline at end of file diff --git a/data/fm-udgivelser/fm-udgivelser.parquet b/data/fm-udgivelser/fm-udgivelser.parquet deleted file mode 100644 index a8943fd734c0406d17762429a56f9b7e7b16e2c8..0000000000000000000000000000000000000000 --- a/data/fm-udgivelser/fm-udgivelser.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:402b9281913aba87938e0600a994cb0387331efd7cf73829699b5103989d8747 -size 59885539 diff --git a/data/fm-udgivelser/images/dist_document_length.png b/data/fm-udgivelser/images/dist_document_length.png deleted file mode 100644 index 26bd633e997a7d100006170856fc2f5bf7c8159e..0000000000000000000000000000000000000000 --- a/data/fm-udgivelser/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1c15a9bbebc18ac4b07b46c8838414e9624c2b4cc5ffbfdcef4d1d97cad3162e -size 182359 diff --git a/data/ft/descriptive_stats.json b/data/ft/descriptive_stats.json deleted file mode 100644 index 069e61166d5ef828fb91ca614985bae2b2d6b6ec..0000000000000000000000000000000000000000 --- a/data/ft/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 1315, "average_document_length": 266745.19163498096, "number_of_tokens": 114087231, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/ft/ft.md b/data/ft/ft.md index e3d585066059ca08ce44680d5ff4e4480cd10ab2..4dcc1f73434500617446e88849f4e764e3e23b30 100644 --- a/data/ft/ft.md +++ b/data/ft/ft.md @@ -1,9 +1,9 @@ --- -pretty_name: Folketinget +pretty_name: Folketinget (Danish Parliament) language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,92 +11,45 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - -# Dataset Card for Folketinget - +# Dataset Card for Folketinget (Danish Parliament) ## Dataset Description - - -Records from all meetings of The Danish parliament (Folketinget) in the parliament hall. - - - -All records have a transcript produced by commercial Automatic Speech Recognition (ASR) followed by postediting by linguists employed by Folketinget for intelligibility, i.e., edit out dysfluencies, restarts, repairs, and mistakes. The transcript is, therefore, not a representation of spoken Danish but rather information content. - -In the parliament hall, one speaker at a time addresses members of the parliament. Monologues may include rebuttals or other comments to statements in previous monologues. While speakers can read aloud from a prepared statement or speak extemporaneously, we expect no difference to be apparent in the data because of the post-editing. The Folketinget section covers parliament hall sessions between 2009 and 2019. It contains discussions on a wide range of topics, issues, and named entities relevant to Danish society. - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 1.31K -- **Number of tokens (Llama 3)**: 114.09M -- **Average document length (characters)**: 266745.19 - - - - -## Dataset Structure +- **Number of records:** 1315 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "TALER 50: Mødet er åbnet. I dag er der følgende anmeldelser: Ministeren for by, bolig og landdistrik[...]", - "source": "ft", - "id": "ft_20121M100", - "added": "2021-03-28", - "created": "2009-01-01, 2019-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Conversation", - "metadata": { - "source-pretty": "Folketinget (Danish Parliament)" - } + 'text': 'TALER 50: Mødet er åbnet. I dag er der følgende an', + 'source': 'ft', + 'id': 'ft_20121M100', + 'added': '2021-03-28', + 'created': '2009-01-01, 2019-01-01', + 'metadata': { + 'domain': 'Conversation', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Folketinget (Danish Parliament)' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - +## Data Fields +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -## Additional Information +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/ft/images/dist_document_length.png b/data/ft/images/dist_document_length.png deleted file mode 100644 index 3d707be50b2a2cfdb926f11dba74dca92570a4f3..0000000000000000000000000000000000000000 --- a/data/ft/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e16a1a9de4f1ef8fedd3e85035287a813d5980b25b40b09c54462671eaebcd81 -size 549791 diff --git a/data/gutenberg/descriptive_stats.json b/data/gutenberg/descriptive_stats.json deleted file mode 100644 index 9487ca170b62f9c8988336f42fd4dfa2367159d8..0000000000000000000000000000000000000000 --- a/data/gutenberg/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 66, "average_document_length": 290147.9393939394, "number_of_tokens": 6763317, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/gutenberg/gutenberg.md b/data/gutenberg/gutenberg.md index d022725bda2554d8884216f53358b838a8284e0e..e49bad392160c7b9eafbd156c3a094ea20bbaaaa 100644 --- a/data/gutenberg/gutenberg.md +++ b/data/gutenberg/gutenberg.md @@ -2,7 +2,7 @@ pretty_name: Gutenberg language: - da -license: other +license: Gutenberg License license_name: Gutenberg License size_categories: - 1-10k @@ -11,75 +11,365 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - # Dataset Card for Gutenberg - ## Dataset Description +- **Number of records:** 66 +- **Languages:** Danish +## Dataset Sturcture +An example from the dataset looks as follows. +```yaml +{ + 'text': 'Afskriverens bemærkninger: Åbenlyse trykfejl er re', + 'source': 'gutenberg', + 'id': 'gutenberg_43899', + 'added': '2020-09-12', + 'created': '1700-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Wiki & Books', + 'license': '*** START: FULL LICENSE *** - -The Danish subsection from Project [Gutenberg](https://www.gutenberg.org). - +THE FULL PROJECT GUTENBERG LICENSE +PLEASE READ THIS BEFORE YOU DISTRIBUTE OR USE THIS WORK +To protect the Project Gutenberg-tm mission of promoting the free +distribution of electronic works, by using or distributing this work +(or any other work associated in any way with the phrase "Project +Gutenberg"), you agree to comply with all the terms of the Full Project +Gutenberg-tm License available with this file or online at + www.gutenberg.org/license. -Project Gutenberg is an online library of free eBooks. Project Gutenberg was the first provider of free electronic books, or eBooks. +Section 1. General Terms of Use and Redistributing Project Gutenberg-tm +electronic works - -- **Language**: dan, dansk, Danish -- **Number of samples**: 66 -- **Number of tokens (Llama 3)**: 6.76M -- **Average document length (characters)**: 290147.94 - +1.A. By reading or using any part of this Project Gutenberg-tm +electronic work, you indicate that you have read, understand, agree to +and accept all the terms of this license and intellectual property +(trademark/copyright) agreement. 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Gutenberg License

- -``` *** START: FULL LICENSE *** THE FULL PROJECT GUTENBERG LICENSE @@ -404,56 +694,6 @@ This Web site includes information about Project Gutenberg-tm, including how to make donations to the Project Gutenberg Literary Archive Foundation, how to help produce our new eBooks, and how to subscribe to our email newsletter to hear about new eBooks. -```

- - -### Dataset Statistics - - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` diff --git a/data/gutenberg/images/dist_document_length.png b/data/gutenberg/images/dist_document_length.png deleted file mode 100644 index cf82d4be5b9dd975a71b4788cce9a0da23026875..0000000000000000000000000000000000000000 --- a/data/gutenberg/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7211ebb972796ee921e5c9d19cc8a266cc42ccab560d1701464ff2a865268116 -size 539101 diff --git a/data/hest/descriptive_stats.json b/data/hest/descriptive_stats.json deleted file mode 100644 index 1551c20631ce0b0a8294221f00ba16584ee40cf8..0000000000000000000000000000000000000000 --- a/data/hest/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 14391, "average_document_length": 82950.79104996179, "number_of_tokens": 389325153, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/hest/hest.md b/data/hest/hest.md index 9b1a564ebc16f5c9364739fb6bf24d1029823056..b46957d8567d9a6a84a0816c1579ae7374f25934 100644 --- a/data/hest/hest.md +++ b/data/hest/hest.md @@ -3,7 +3,7 @@ pretty_name: Hestenettet (Danish debate forum) language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 10k-100k task_categories: @@ -11,92 +11,46 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - -# Dataset Card for Hestenettet - - -Samples from the Danish debate forum www.heste-nettet.dk. - - - -The forum have been in use since 1997 and it is used as a debate forum covering a wide range of everyday topics. - -Its inclusion as training data for large language models have multiple times reached [national news](https://www.dr.dk/nyheder/viden/teknologi/heste-nettet-kan-blive-grundlag-kunstig-intelligens-paa-dansk). - +# Dataset Card for Hestenettet (Danish debate forum) ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 14.39K -- **Number of tokens (Llama 3)**: 389.33M -- **Average document length (characters)**: 82950.79 - - - - -## Dataset Structure +- **Number of records:** 14391 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Er den ikke kær? \nJeg kan ikke forstå at der altid er nogle der åbenbart ser alle indlæg her på HN ,[...]", - "source": "hest", - "id": "hest_forum112802271280227_0", - "added": "2020-10-05", - "created": "2000-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Social Media", - "metadata": { - "source-pretty": "Hestenettet (Danish debate forum)" - } + 'text': 'Er den ikke kær? +Jeg kan ikke forstå at der altid', + 'source': 'hest', + 'id': 'hest_forum112802271280227_0', + 'added': '2020-10-05', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Social Media', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Hestenettet (Danish debate forum)' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - +## Data Fields +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -## Additional Information +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/hest/images/dist_document_length.png b/data/hest/images/dist_document_length.png deleted file mode 100644 index e000f4ab236461a1d9d13ac50fd3e3623b23fd5d..0000000000000000000000000000000000000000 --- a/data/hest/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:721ef6123a43f89bca03351e7a6459d6e40906024bcd2bc9e0a1fa377c37d60b -size 544920 diff --git a/data/jvj/descriptive_stats.json b/data/jvj/descriptive_stats.json deleted file mode 100644 index bb789c5e077211125c480b8affd3176fba10361e..0000000000000000000000000000000000000000 --- a/data/jvj/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 42, "average_document_length": 254893.66666666666, "number_of_tokens": 3549181, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/jvj/images/dist_document_length.png b/data/jvj/images/dist_document_length.png deleted file mode 100644 index ee4b71c58675ec6bc2e34c0eb6070ec1a1238452..0000000000000000000000000000000000000000 --- a/data/jvj/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:842b2aff42b3efabe2ec7dd425a9b41f836ca21f1f6332561dcc90e6bb7db62e -size 533772 diff --git a/data/jvj/jvj.md b/data/jvj/jvj.md index d7e2d7f2c9eab2d88bed2228439be70b5d7fa7f0..b139b8ce7057ca5806b92b36550bdfab351934b5 100644 --- a/data/jvj/jvj.md +++ b/data/jvj/jvj.md @@ -1,9 +1,9 @@ --- -pretty_name: Johannes V. Jensen +pretty_name: Johannes V. Jensen (Danish poet) language: - da license: cc-by-sa-4.0 -license_name: CC-BY-SA 4.0 +license_name: Creative Commons Attribution Share Alike 4.0 size_categories: - 1-10k task_categories: @@ -11,92 +11,41 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - -# Dataset Card for Johannes V. Jensen - - -The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen). - - - - - - - +# Dataset Card for Johannes V. Jensen (Danish poet) ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 42 -- **Number of tokens (Llama 3)**: 3.55M -- **Average document length (characters)**: 254893.67 - - - - -## Dataset Structure +- **Number of records:** 42 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "JØRGINE JØRGINE KØBENHAVN HAGE & CLAUSENS FORLAG (J. FR. CLAUSEN) 1926 JOHANNES V. JENSEN COPYRIGHT [...]", - "source": "jvj", - "id": "jvj_Jørgine", - "added": "2020-06-26", - "created": "1873-01-01, 1951-01-01", - "license": "Attribution-ShareAlike 4.0 International", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "Johannes V. Jensen (Danish poet)" - } + 'text': 'JØRGINE JØRGINE KØBENHAVN HAGE & CLAUSENS FORLAG (', + 'source': 'jvj', + 'id': 'jvj_Jørgine', + 'added': '2020-06-26', + 'created': '1873-01-01, 1951-01-01', + 'metadata': { + 'domain': 'Wiki & Books', + 'license': 'Attribution-ShareAlike 4.0 International', + 'source-pretty': 'Johannes V. Jensen (Danish poet)' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +## Data Fields + +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. + +## License Information +
+Creative Commons Attribution Share Alike 4.0 +

+Attribution-ShareAlike 4.0 International +

+
diff --git a/data/lexdk/create.py b/data/lexdk/create.py deleted file mode 100644 index 9d8967a0f1f9d54e19d581567fee4dc6ab87c4c8..0000000000000000000000000000000000000000 --- a/data/lexdk/create.py +++ /dev/null @@ -1,85 +0,0 @@ -# /// script -# requires-python = ">=3.12" -# dependencies = [ -# "datasets", -# "pandas", -# ] -# /// -"""download lexdk from alexandrainst/lexdk-open""" - -from datetime import datetime -from pathlib import Path -from typing import cast - -import pandas as pd -from datasets import Dataset, load_dataset - -column_order = [ - "text", - "source", - "id", - "added", - "created", - "license", - "domain", - "metadata", -] - - -def convert_sample(example: dict) -> dict: - # from sample: - # { - # "url": "https://denstoredanske.lex.dk/Kullmanns_M%C3%B8lle", - # "title": "Kullmanns Mølle", - # "clarification": "", - # "authors": ["https://brugere.lex.dk/6929"], - # "date": "2021-01-20T13:23:20+01:00", - # "license": "fri anvendelse", - # "text": "Kullmanns Mølle er en mølle i Gudhjem, opkaldt efter Matts Kullmann, der byggede møllen i 1893 til sin søn, Christian Kullmann, se Gudhjem Mølle.", - # } - date = datetime.fromisoformat(example["date"]) - text = f"{example["title"]}\n\npubliceret: {date}\n{example["text"]}" - - new_example = dict( - text_new=text, - id=example["url"], - source="lexdk", - domain="Conversation", - license="cc-by-sa-4.0", - added="2025-01-04", - created=f"{date.date()}, {date.date()}", - metadata={"source-pretty": "Lex.dk"}, - ) - - return new_example - - -def main(): - ds = load_dataset("alexandrainst/lexdk-open", split="train") - ds = cast(Dataset, ds) - - dates = [datetime.fromisoformat(date).date() for date in ds["date"]] - print(str(min(dates)), ",", str(max(dates))) # 2009-01-28, 2023-09-05 - - assert len(set(ds["url"])) == len(ds) - - ds = ds.map(convert_sample, num_proc=4) - ds = ds.select_columns(column_order[1:] + ["text_new"]) - ds = ds.rename_columns({"text_new": "text"}) - # ensure order - ds = ds.select_columns(column_order) - - df = ds.to_pandas() - df = cast(pd.DataFrame, df) - dedup_df = df.drop_duplicates(keep="first", subset=["text"]) - print("N. duplicates: ", df.shape[0] - dedup_df.shape[0]) # 0 - - ds = ds.select(dedup_df.index) - assert len(set(ds["text"])) == len(ds) - - save_path = Path(__file__).parent / "lexdk.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/lexdk/create.py.lock b/data/lexdk/create.py.lock deleted file mode 100644 index 87f326a88bc6d243439ddc1dc06bc64cf26660c1..0000000000000000000000000000000000000000 --- a/data/lexdk/create.py.lock +++ /dev/null @@ -1,694 +0,0 @@ -version = 1 -revision = 1 -requires-python = ">=3.12" - -[manifest] -requirements = [ - { name = "datasets" }, - { name = "pandas" }, -] - -[[package]] -name = "aiohappyeyeballs" -version = "2.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 } -wheels = [ - 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- da -license: other -license_name: disputed CC-BY-SA 4.0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling -source_datasets: - - alexandrainst/lexdk-open ---- - -# Dataset Card for Lex.dk Open - - -Articles from [lex.dk](https://lex.dk). - - -**NOTE:** This dataset been taken down due to concerns about licensing. See [license information](#license-information). - -Lex.dk is a Danish online encyclopedia platform providing access to reliable and authoritative knowledge on a wide range of topics. It is created and curated by experts, ensuring high-quality, accurate content. The platform serves as a central hub for general and specialized information in Danish, making it a valuable resource for education, research, and general learning. - - - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 11.89K -- **Number of tokens (Llama 3)**: 5.69M -- **Average document length (characters)**: 1405.64 - - - -## Dataset Structure -An example from the dataset looks as follows. - - -```py -{ - "text": "Oluf Høst Museet\n\npubliceret: 2014-04-23 03:42:33+02:00\nOluf Høst Museet, kunstmuseum i Gudhjem, Bor[...]", - "source": "lexdk", - "id": "https://denstoredanske.lex.dk/Oluf_H%C3%B8st_Museet", - "added": "2025-01-04", - "created": "2014-04-23, 2014-04-23", - "license": "cc-by-sa-4.0", - "domain": "Conversation", - "metadata": { - "source-pretty": "Lex.dk" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## License Information - -The articles here are derived from lex.dk and only include articles with a CC-BY-SA 4.0 licens as defined in the articles. -See [this article](https://lex.dk/Oluf_Høst_Museet) for an example. However we recently discovered the following subsection in their [licensing](https://lex.dk/.licenses/free): - -> Licensen gælder for de enkelte artikeltekster. Du finder information om licens i bunden af alle artikler på lex.dk. Licensen gælder ikke for hele værker, som fx Den Store Danske Encyklopædi eller Trap Danmark. **Du må altså ikke downloade og genbruge alle artikler med fri licens, fordi dette vil være en gengivelse af en stor del af et værk.** - -We are currently examining to what extent it is possible to share this work and until further clarification have chosen to take it down. - - -## Additional Information - -### Citation Information - -This dataset is derived from the publicly availabe dataset [alexandrainst/lexdk-open](https://huggingface.co/datasets/alexandrainst/lexdk-open). \ No newline at end of file diff --git a/data/memo/create.py b/data/memo/create.py deleted file mode 100644 index 94e43d14ea63b96f7c4de3331ce3fe2074c14c83..0000000000000000000000000000000000000000 --- a/data/memo/create.py +++ /dev/null @@ -1,108 +0,0 @@ -# /// script -# requires-python = "==3.12" -# dependencies = [ -# "datasets==3.2.0", -# ] -# /// -from datetime import datetime, timedelta -from pathlib import Path -from typing import cast - -from datasets import Dataset, load_dataset - -column_order = [ - "text", - "source", - "id", - "added", - "created", - "license", - "domain", - "metadata", -] - - -def convert_sample(example: dict) -> dict: - # from sample: - # { - # "filename": "1894_Aagaard_UnderligeFyre", - # "full_firstnames": "Oscar", - # "auth_first": "Oscar", - # "auth_last_modern": "Aagaard", - # "pseudonym": None, - # "publ_date": 1894, - # "title_modern": "Underlige Fyre", - # "published_under_gender": "male", - # "real_gender": "male", - # "nationality": "no", - # "auth_id": 1, - # "auth_last": "Aagaard", - # "title": "Underlige Fyre", - # "surname": "Aagaard", - # "title.1": "Underlige Fyre", - # "subtitle": "Fortælling", - # "volume": None, - # "year": 1894, - # "pages": 263.0, - # "illustrations": "n", - # "typeface": "roman", - # "publisher": "Gyldendal", - # "price": 3.0, - # "source": "KB", - # "notes": None, - # "filepath": None, - # "historical": None, - # "period": "nan", - # "period_notes": "nan", - # "novel_start": 13.0, - # "novel_end": 275.0, - # "serialno": 854.0, - # "category": "O", - # "e_canon": 0, - # "ce_canon": 0, - # "lex_canon": 0, - # "text": "Første kapitel. Argus & co. Waterclerker — hvormange er der vel, ...", - # } - - min_date = datetime.fromisoformat(f"{example["year"]}-01-01") - max_date = datetime.fromisoformat(f"{example["year"]}-12-31") - text = f"{example['title_modern']}\n\nSkrevet af {example['full_firstnames']} {example['auth_last_modern']}\nPubliceret {example['year']} af {example['publisher']}\n\n{example['text']}" - - new_example = dict( - text_new=text, - id=example["filename"], - source="memo", - domain="Wiki & Books", - license="cc-by-sa-4.0", - added="2025-03-08", - created=f"{min_date.date()}, {max_date.date()}", - metadata={"source-pretty": "MeMo Canonical Novels"}, - ) - - return new_example - - -def main(): - ds = load_dataset("chcaa/memo-canonical-novels", split="train") - ds = cast(Dataset, ds) - dates = [datetime.fromisoformat(f"{date}-01-01").date() for date in ds["year"]] - - max_date = max(dates) + timedelta(days=364) - print(str(min(dates)), ",", str(max_date)) # 1870-01-01 , 1899-12-31 - - assert len(set(ds["filename"])) == len(ds), "IDs are not unique" - assert len(set(ds["text"])) == len(ds), "Texts are not unique" - - ds = ds.map(convert_sample, num_proc=4) - ds = ds.select_columns(column_order[1:] + ["text_new"]) - ds = ds.rename_columns({"text_new": "text"}) - # ensure order - ds = ds.select_columns(column_order) - - dir = Path(__file__).parent - save_path = dir / f"{dir.name}.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/memo/descriptive_stats.json b/data/memo/descriptive_stats.json deleted file mode 100644 index 3860d34fa3ab4676b4b63e7793ad17e11809f0ba..0000000000000000000000000000000000000000 --- a/data/memo/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 839, - "average_document_length": 32813.50774731824, - "number_of_tokens": 9283194, - "language": "dan, dansk, Danish", - "revision": "50a993754baa283ef19fd7ee966e3a4d6f125c83" -} \ No newline at end of file diff --git a/data/memo/images/dist_document_length.png b/data/memo/images/dist_document_length.png deleted file mode 100644 index a1eaad7077e14ad68e722982f9a10e66f96ecbb1..0000000000000000000000000000000000000000 --- a/data/memo/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:0f9169cdc49548c77d31dd2a72c15076f2fa490833a98e379981ec590af8e29f -size 557922 diff --git a/data/memo/memo.md b/data/memo/memo.md deleted file mode 100644 index a32754a02d35953dbcf0486b25e32157dcb03387..0000000000000000000000000000000000000000 --- a/data/memo/memo.md +++ /dev/null @@ -1,120 +0,0 @@ ---- -pretty_name: MeMo Canonical Novels -language: - - da -license: cc-by-sa-4.0 -license_name: CC-BY-SA 4.0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling -source_datasets: - - MiMe-MeMo/Corpus-v1.1 ---- - -# Dataset Card for MeMo Canonical Novels - - -The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough. - - -The MeMo corpus is established to investigate literary and cultural change in a seminal epoch of Scandinavian cultural and social history (known as 'the modern breakthrough') using natural language processing and other computational methods. The corpus consists of original novels by Norwegian and Danish authors printed in Denmark in the period 1870-99. It includes 858 volumes, totaling 4.5 million sentences and 65 million words. - - -Lex.dk is a Danish online encyclopedia platform providing access to reliable and authoritative knowledge on a wide range of topics. It is created and curated by experts, ensuring high-quality, accurate content. The platform serves as a central hub for general and specialized information in Danish, making it a valuable resource for education, research, and general learning. - - -Additional information about this dataset can be found on their [project page](https://nors.ku.dk/english/research/projects/measuring-modernity/) or on their huggingface [dataset](https://huggingface.co/datasets/MiMe-MeMo/Corpus-v1.1). - - - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 839 -- **Number of tokens (Llama 3)**: 9.28M -- **Average document length (characters)**: 32813.51 - - - -## Dataset Structure -An example from the dataset looks as follows. - - -```py -{ - "text": "Underlige Fyre\n\nSkrevet af Oscar Aagaard\nPubliceret 1894 af Gyldendal\n\nFørste kapitel. Argus & co. W[...]", - "source": "memo", - "id": "1894_Aagaard_UnderligeFyre", - "added": "2025-03-08", - "created": "1894-01-01, 1894-12-31", - "license": "cc-by-sa-4.0", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "MeMo Canonical Novels" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Contact -For questions related to the processing and conversion feel free to open a [discussion thread](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions) for question related to the initial collect of the data please contact the project PI, Jens Bjerring-Hansen, associate professor at Copenhagen University. - -### Citation Information - -This dataset is derived from the publicly availabe dataset [MiMe-MeMo/Corpus-v1.1](https://huggingface.co/datasets/MiMe-MeMo/Corpus-v1.1) and was release as a part of paper Bjerring-Hansen, Jens, et al. "Mending Fractured Texts. A heuristic procedure for correcting OCR data." (2022). https://ceur-ws.org/Vol-3232/paper14.pdf. Which has the follwing citation: - -``` -@inproceedings{bjerring2022mending, - title={Mending Fractured Texts. A heuristic procedure for correcting OCR data}, - author={Bjerring-Hansen, Jens and Kristensen-McLachlan, Ross Deans and Diderichsen, Philip and Hansen, Dorte Haltrup}, - booktitle={CEUR Workshop Proceedings}, - volume={3232}, - pages={177--186}, - year={2022}, - organization={ceur workshop proceedings} -} -``` - -### Other uses of this dataset - -This study have additionally -``` -@inproceedings{feldkamp_canonical_2024, - address = {Miami, Florida, USA}, - title = {Canonical {Status} and {Literary} {Influence}: {A} {Comparative} {Study} of {Danish} {Novels} from the {Modern} {Breakthrough} (1870--1900)}, - booktitle = {Proceedings of the {Joint} 4th {International} {Conference} on {Natural} {Language} {Processing} for {Digital} {Humanities}}, - publisher = {Association for Computational Linguistics, Forthcoming}, - author = {Feldkamp, Pascale and Lassche, Alie and Kostkan, Jan and Kardos, Márton and Baunvig, Katrine F. and Nielbo, Kristoffer L.}, - year = {2024}, -} -``` \ No newline at end of file diff --git a/data/memo/memo.parquet b/data/memo/memo.parquet deleted file mode 100644 index a5ae2887148035e39e16342e418c5d43fffe9af1..0000000000000000000000000000000000000000 --- a/data/memo/memo.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5dc0a3190ff6ec398b885445b4ba6e6c185bb2364c81c56985845d5386d72f92 -size 17796900 diff --git a/data/miljoeportalen/create.py b/data/miljoeportalen/create.py deleted file mode 100644 index 98db9e1ef3fed160fdc4bb084ee1634caacbc1a8..0000000000000000000000000000000000000000 --- a/data/miljoeportalen/create.py +++ /dev/null @@ -1,50 +0,0 @@ -# /// script -# requires-python = ">=3.12" -# dependencies = [ -# "datasets>=3.2.0", -# ] -# /// - -from pathlib import Path -from typing import cast - -from datasets import Dataset, load_dataset - -source = "miljoeportalen" - - -def convert_sample(example): - new_example = dict( - text_new=example["text"], - source=source, - domain="Web", - license="cc0", - added="2025-03-24", - created="2024-01-01, 2025-01-01", # Scrape happen within the year - data likely written earlier - metadata={"source-pretty": "Miljøportalen"}, - ) - - return new_example - - -def main(): - data_path = Path( - "/work/dfm-data/pre-training/miljoeportal/documents/miljoeportal.jsonl.gz" - ) - ds = load_dataset("json", data_files=data_path.as_posix(), split="train") - - ds = cast(Dataset, ds) - - ds = ds.map(convert_sample, remove_columns=ds.column_names) - ds = ds.rename_columns({"text_new": "text"}) - ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))]) # type: ignore - ds = ds.select_columns( - ["text", "source", "id", "added", "created", "license", "domain", "metadata"] - ) - - save_path = Path(__file__).parent / f"{source}.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/miljoeportalen/descriptive_stats.json b/data/miljoeportalen/descriptive_stats.json deleted file mode 100644 index dfaed6a0b827ec23554b11474468165b8f32b070..0000000000000000000000000000000000000000 --- a/data/miljoeportalen/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 2169, - "average_document_length": 224704.25034578147, - "number_of_tokens": 128477101, - "language": "dan, dansk, Danish", - "revision": "62e1cea23e4c6154d47ca4d78d731478623a99b9" -} \ No newline at end of file diff --git a/data/miljoeportalen/images/dist_document_length.png b/data/miljoeportalen/images/dist_document_length.png deleted file mode 100644 index 5943046a5ab341b56a8e727ae523b30d1b59171a..0000000000000000000000000000000000000000 --- a/data/miljoeportalen/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c404cebb1c94e0ce0210074ba18c1b48356f69328990b8eac52673ad2ef47a14 -size 183905 diff --git a/data/miljoeportalen/miljoeportalen.md b/data/miljoeportalen/miljoeportalen.md deleted file mode 100644 index bb99559147c2981aa415e713d35b95183b55de56..0000000000000000000000000000000000000000 --- a/data/miljoeportalen/miljoeportalen.md +++ /dev/null @@ -1,103 +0,0 @@ ---- -pretty_name: Miljøportalen -language: - - da -license: cc0-1.0 -license_name: CC-0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling ---- - -# Dataset Card for Miljøportalen - - -Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal) - - -Denmark's Environment Portal (Danmarks Miljøportal) is a joint public partnership owned by the state, municipalities, and regions, which aims to support digital environmental management in Denmark. - -Danmarks Miljøportal's goal is for environmental data to be included early in all decisions that have an environmental impact. They do this by creating easy and open access to environmental data, making it possible for authorities and businesses to integrate the environment into their decisions. - -This can be decisions specifically targeted at the environment such as water plans, Green Tripartite Agreement, biodiversity and nature restoration, but also decisions about, for example, renewable energy, climate adaptation, new roads, residential areas, and industrial enterprises, where environmental aspects need to be considered. - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 2.17K -- **Number of tokens (Llama 3)**: 128.48M -- **Average document length (characters)**: 224704.25 - - - -## Dataset Structure -An example from the dataset looks as follows. - - - -```py -{ - "text": "Bila110 g 1 101 10 - miljTIL R lj TIL RTIL RøraÆTSHUSKO pp ÆTSHUS KOÆTSHUS Kort\n\nLOKALPLAN NR[...]", - "source": "miljoeportalen", - "id": "miljoeportalen_0", - "added": "2025-03-24", - "created": "2024-01-01, 2025-01-01", - "license": "cc0", - "domain": "Web", - "metadata": { - "source-pretty": "Miljøportalen" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - - - - -### License information -This dataset is licensed under CCO this license was clarified by support@miljoeportal.dk: - -> Data er underlagt Creative Common CC0, se: -> https://creativecommons.org/publicdomain/zero/1.0/deed.da. -> -> Lad mig vide hvis du har yderligere spørgsmål. -> Har du spørgsmål til din sag eller yderligere kommentarer, bedes du besvare denne mail. - - - -### Citation Information - -No citation is applicable for this work. \ No newline at end of file diff --git a/data/miljoeportalen/miljoeportalen.parquet b/data/miljoeportalen/miljoeportalen.parquet deleted file mode 100644 index ac0493e804dd573338709a755fa86793305be045..0000000000000000000000000000000000000000 --- a/data/miljoeportalen/miljoeportalen.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5342a7dbeaf5fa93b48b78f16308867d07e0c0ec1053830f0df7acb8f774eacf -size 169639678 diff --git a/data/naat/descriptive_stats.json b/data/naat/descriptive_stats.json deleted file mode 100644 index c4b3307a3e9dc42b4247326c092a86a0eebafc01..0000000000000000000000000000000000000000 --- a/data/naat/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 129, "average_document_length": 6832.387596899225, "number_of_tokens": 286677, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/naat/images/dist_document_length.png b/data/naat/images/dist_document_length.png deleted file mode 100644 index 5f3a4912cb645ad910fdb2b6872cac6bc8627cd4..0000000000000000000000000000000000000000 --- a/data/naat/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e4f14416631cbf0b8a6fe2dc260e6be69155313af1f93c94bd435a60413e4836 -size 536576 diff --git a/data/naat/naat.md b/data/naat/naat.md index 95d5660bea411367ae3c3d0a5eaa7f040d1b354a..2fa0b7bf892cc71d2322fb410d488f9705126797 100644 --- a/data/naat/naat.md +++ b/data/naat/naat.md @@ -3,7 +3,7 @@ pretty_name: NAAT language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,87 +11,45 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - # Dataset Card for NAAT - - -Danish speeches from 1930-2022. - - - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 129 -- **Number of tokens (Llama 3)**: 286.68K -- **Average document length (characters)**: 6832.39 - - - - -## Dataset Structure +- **Number of records:** 129 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Naar jeg i aften sender min nytaarshilsen til det danske folk og tænker tilbage paa det aar, der sva[...]", - "source": "naat", - "id": "naat_1958kongfrederikix", - "added": "2020-02-11", - "created": "1930-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Conversation", - "metadata": { - "source-pretty": "NAAT" - } + 'text': 'Naar jeg i aften sender min nytaarshilsen til det ', + 'source': 'naat', + 'id': 'naat_1958kongfrederikix', + 'added': '2020-02-11', + 'created': '1930-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Conversation', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'NAAT' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/nordjyllandnews/descriptive_stats.json b/data/nordjyllandnews/descriptive_stats.json deleted file mode 100644 index 6a5b1926dae473cfdc593e8ed8f5236cac5200c4..0000000000000000000000000000000000000000 --- a/data/nordjyllandnews/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 75219, "average_document_length": 1540.2673659580691, "number_of_tokens": 37905944, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/nordjyllandnews/images/dist_document_length.png b/data/nordjyllandnews/images/dist_document_length.png deleted file mode 100644 index b58252d02d5e064ad3d8ff111f036747cdfc741d..0000000000000000000000000000000000000000 --- a/data/nordjyllandnews/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:96ed628dc507036a6b09c82a04b01fee2f79c78ece535f4890cb30db731525fb -size 560454 diff --git a/data/nordjyllandnews/nordjyllandnews.md b/data/nordjyllandnews/nordjyllandnews.md index 5d9461b43960dfcc32b78113192f5ec0565c7f58..0d18006e40cb3a34848b6a7cb0fc44fbee857e4a 100644 --- a/data/nordjyllandnews/nordjyllandnews.md +++ b/data/nordjyllandnews/nordjyllandnews.md @@ -3,7 +3,7 @@ pretty_name: Nordjylland News language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 10-100k task_categories: @@ -11,77 +11,15 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - alexandrainst/nordjylland-news-summarization --- # Dataset Card for Nordjylland News - -Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk). - - - -The data is derived from the Huggingface dataset [alexandrainst/nordjylland-news-summarization](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization) originally intended for text summarization. +source: https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 75.22K -- **Number of tokens (Llama 3)**: 37.91M -- **Average document length (characters)**: 1540.27 - - - -## Dataset Structure -An example from the dataset looks as follows. - - - -```py -{ - "text": "Lav et referat af nedenstående tekst:\n\nTekst:\nOpdatering: Manden er nu fundet af Nordjyllands Politi[...]", - "source": "nordjyllandnews", - "id": "nordjyllandnews_0", - "added": "2024-12-16", - "created": "2000-01-01, 2024-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "News", - "metadata": { - "source-pretty": "Nordjylland News" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Dataset Statistics - - - - - - - - -## Additional Information - +- **Number of records:** 75200 +- **Languages:** Danish ## Opportunities for Improvement @@ -89,7 +27,3 @@ An updated version of the this data could be fetched from their [API](https://de # Sourced data This dataset is derived from [`alexandrainst/nordjylland-news-summarization`](https://huggingface.co/datasets/alexandrainst/nordjylland-news-summarization) - -### Citation Information - -No citation is applicable for this work. We recommend citing the huggingface repository. \ No newline at end of file diff --git a/data/nota/create.py b/data/nota/create.py deleted file mode 100644 index 671aa9b057c4885aaa0637e3249dd6c4bf0eb055..0000000000000000000000000000000000000000 --- a/data/nota/create.py +++ /dev/null @@ -1,77 +0,0 @@ -from collections import defaultdict -from io import BytesIO -from pathlib import Path -import requests -from zipfile import ZipFile - -import pandas as pd - -URL = "https://sprogtek-ressources.digst.govcloud.dk/nota/Nota-txt_only.zip" - -column_order = [ - "text", - "source", - "id", - "added", - "created", - "license", - "domain", - "metadata", -] - - -def convert_sample(id: str, text: str) -> dict: - year = id[4:8] - new_example = dict( - text=text, - id=id.split("_")[0], - source="nota", - domain="Readaloud", - license="Creative Commons Legal Code\n\nCC0 1.0 Universal", - added="2025-02-03", - created=f"{year}-01-01, {year}-12-31", # assuming v2018 - metadata={"source-pretty": "Nota lyd- og tekstdata"}, - ) - - return new_example - - -def download_and_process_zip(url): - response = requests.get(url) - response.raise_for_status() # Ensure we got a valid response - - with ZipFile(BytesIO(response.content), "r") as z: - file_groups = defaultdict(list) - - # Read all text files from the ZIP - for file_name in z.namelist(): - if file_name.endswith(".txt"): # Process only text files - prefix = file_name.split("/")[1].split("_")[0] - with z.open(file_name) as f: - file_groups[prefix].append(f.read().decode("utf-8")) - - # Combine files with the same prefix - combined_files = { - f"{prefix}_combined.txt": "\n".join(contents) - for prefix, contents in file_groups.items() - } - - return combined_files # Dictionary with combined file names and contents - - -def main(): - combined_results = download_and_process_zip(URL) - dataset = [] - for filename, content in combined_results.items(): - sample = convert_sample(filename, content) - dataset.append(sample) - - df = pd.DataFrame(dataset) - df = df.drop_duplicates(keep="first", subset=["text"]) - - save_path = Path(__file__).parent / "nota.parquet" - df.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/nota/descriptive_stats.json b/data/nota/descriptive_stats.json deleted file mode 100644 index 712c521be01c8ffdeba8f0767f333c23ba03e592..0000000000000000000000000000000000000000 --- a/data/nota/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 446, "average_document_length": 38949.7802690583, "number_of_tokens": 7299012, "language": "dan, dansk, Danish", "revision": "b578ecd35a20bbabe5b0421d94d779d48e9cd4f4"} \ No newline at end of file diff --git a/data/nota/images/dist_document_length.png b/data/nota/images/dist_document_length.png deleted file mode 100644 index 10354ddb26dc0f08c11f8f22dea498a46d5cbee8..0000000000000000000000000000000000000000 --- a/data/nota/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:0d3264672ef4d488e462922095ab4a060ff4554287f8acae6a6494ff10c4087f -size 550623 diff --git a/data/nota/nota.md b/data/nota/nota.md deleted file mode 100644 index 5a0093676cb4a388eb18dd22f18c31dbb592beb6..0000000000000000000000000000000000000000 --- a/data/nota/nota.md +++ /dev/null @@ -1,98 +0,0 @@ ---- -pretty_name: Nota lyd- og tekstdata (Tekst only) -language: - - da -license: cc0-1.0 -license_name: CC-0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling -source_datasets: - - https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata ---- - -# Dataset Card for Nota lyd- og tekstdata (Tekst only) - - -The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset. - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 446 -- **Number of tokens (Llama 3)**: 7.30M -- **Average document length (characters)**: 38949.78 - - - -## Dataset Structure -An example from the dataset looks as follows. - - -```py -{ - "text": "Inspiration nr. 4, 2016\nBiblioteksbetjening \nTelefon: 39 13 46 00\nEmail: biblioteket@nota.dk\nInspira[...]", - "id": "INSL20160004", - "source": "nota", - "domain": "Readaloud", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "added": "2025-02-03", - "created": "2016-01-01, 2016-12-31", - "metadata": { - "source-pretty": "Nota lyd- og tekstdata" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Additional Processing - - - - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` - diff --git a/data/nota/nota.parquet b/data/nota/nota.parquet deleted file mode 100644 index 981b7e4e7e94ab7f6aaf7f5717e048cacfc38f0f..0000000000000000000000000000000000000000 --- a/data/nota/nota.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c18ea01538fb6f36303e26da870de0b220db358a1733b50ba0f669312f08cb9f -size 7905103 diff --git a/data/opensubtitles/create.py b/data/opensubtitles/create.py deleted file mode 100644 index ba3721eb2ab0854015cb7cd92aaf4583b113718e..0000000000000000000000000000000000000000 --- a/data/opensubtitles/create.py +++ /dev/null @@ -1,131 +0,0 @@ -# /// script -# requires-python = "==3.12" -# dependencies = [ -# "datasets==3.2.0", -# "spacy==3.8.3", -# ] -# /// - -from pathlib import Path -from typing import cast - -import pandas as pd -import spacy -from datasets import Dataset, load_dataset - -# KCE: mail from Leon -sample_to_redact = { - # Der kommer en dag - "opensub_6726481", - "opensub_6732371", - # Kollektivet - "opensub_6645818", - # Flaskepost fra P - "opensub_6666922", - "opensub_6720216", - "opensub_6958711", - # Fasandræberne - "opensub_6036947", - "opensub_6008622", - # En du elsker - "opensub_5828376", - "opensub_5828378", - # En chance til - "opensub_6177523", - # Lev stærkt - "opensub_6467655", - # Nymphomaniac - "opensub_5604391", - "opensub_5748340", - "opensub_5748494", - "opensub_5629516", - # Kvinden i buret - "opensub_5636248", - "opensub_5514603", - "opensub_5504932", - # Den skaldede frisør - "opensub_5084880", - "opensub_5031826", - # Jagten - "opensub_6929419", - "opensub_4885548", - # Melancholia - "opensub_4421330", - "opensub_4406991", - "opensub_4418817", - # Ambassadøren - "opensub_4557721", - # Antichrist - "opensub_5511502", - "opensub_3938655", - "opensub_3636940", - "opensub_3564521", - "opensub_3562215", - # En kongelig affære - "opensub_4725493", - "opensub_4725160", - "opensub_4725159", - "opensub_4916871", - "opensub_5186746", - # Brødre - "opensub_233943", - "opensub_87475", -} - -column_order = [ - "text", - "source", - "id", - "added", - "created", - "license", - "domain", - "metadata", -] - - -def convert_sample(example: dict) -> dict: - text = example["text"] - if example["doc_id"] in sample_to_redact: - nlp = spacy.blank("da") - doc = nlp(text) - text = doc[:200].text # first 200 words - - new_example = dict( - text_new=text, - id=example["doc_id"], - source="opensubtitles", - domain="Conversation", - license="Creative Commons Legal Code\n\nCC0 1.0 Universal", - added="2025-01-02", - created="1920-01-01, 2018-01-01", # assuming v2018 - metadata={"source-pretty": "OpenSubtitles"}, - ) - - return new_example - - -def main(): - ds = load_dataset("DDSC/partial-danish-gigaword-no-twitter", split="train") - ds = cast(Dataset, ds) - ds = ds.filter(lambda x: x["source"] == "opensub", num_proc=4) - ds = ds.map(convert_sample, num_proc=4) - ds = ds.select_columns(column_order[1:] + ["text_new"]) - ds = ds.rename_columns({"text_new": "text"}) - # ensure order - ds = ds.select_columns(column_order) - - df = ds.to_pandas() - df = cast(pd.DataFrame, df) - dedup_df = df.drop_duplicates(keep="first", subset=["text"]) - print("N. duplicates: ", df.shape[0] - dedup_df.shape[0]) # 2422 - - ds = ds.select(dedup_df.index) - assert len(set(ds["text"])) == len(ds) - - save_path = Path(__file__).parent / "opensubtitles.parquet" - ds.to_parquet(save_path) - - -if __name__ == "__main__": - main() diff --git a/data/opensubtitles/descriptive_stats.json b/data/opensubtitles/descriptive_stats.json deleted file mode 100644 index a7c22f9ae9824a48263ba5b81d9cbf3bf8673916..0000000000000000000000000000000000000000 --- a/data/opensubtitles/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 29820, "average_document_length": 26298.017572099263, "number_of_tokens": 271599443, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/opensubtitles/images/dist_document_length.png b/data/opensubtitles/images/dist_document_length.png deleted file mode 100644 index c298a30bb95eafbb0068017f896b231d760d1163..0000000000000000000000000000000000000000 --- a/data/opensubtitles/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:cc0439ba8c58215d1cf1dcfa3dab4dd28c9f4d00065a44bba25757ee605f6425 -size 549769 diff --git a/data/opensubtitles/opensubtitles.md b/data/opensubtitles/opensubtitles.md deleted file mode 100644 index f03c6204e0d6f144cbec7a6cee991ee885f870d6..0000000000000000000000000000000000000000 --- a/data/opensubtitles/opensubtitles.md +++ /dev/null @@ -1,159 +0,0 @@ ---- -pretty_name: OpenSubtitles -language: - - da -license: cc0-1.0 -license_name: CC-0 -task_categories: - - text-generation - - fill-mask -task_ids: - - language-modeling -source_datasets: - - DDSC/partial-danish-gigaword-no-twitter ---- - -# Dataset Card for OpenSubtitles - - -Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles). - - - -## Dataset Description - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 29.82K -- **Number of tokens (Llama 3)**: 271.60M -- **Average document length (characters)**: 26298.02 - - - -## Dataset Structure -An example from the dataset looks as follows. - - -```py -{ - "text": "Tidligere i vikingerne...\nJeg skal gå tilbage til England.\nBurde være gået tilbage for lang tid side[...]", - "source": "opensubtitles", - "id": "opensub_6822913", - "added": "2025-01-02", - "created": "1920-01-01, 2018-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Conversation", - "metadata": { - "source-pretty": "OpenSubtitles" - } -} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - - - -### Additional Processing - -Due to copyright concern additional documents have been removed due to copyright concerns. These include: - -```py -{ - # Der kommer en dag - "opensub_6726481", - "opensub_6732371", - # Kollektivet - "opensub_6645818", - # Flaskepost fra P - "opensub_6666922", - "opensub_6720216", - "opensub_6958711", - # Fasandræberne - "opensub_6036947", - "opensub_6008622", - # En du elsker - "opensub_5828376", - "opensub_5828378", - # En chance til - "opensub_6177523", - # Lev stærkt - "opensub_6467655", - # Nymphomaniac - "opensub_5604391", - "opensub_5748340", - "opensub_5748494", - "opensub_5629516", - # Kvinden i buret - "opensub_5636248", - "opensub_5514603", - "opensub_5504932", - # Den skaldede frisør - "opensub_5084880", - "opensub_5031826", - # Jagten - "opensub_6929419", - "opensub_4885548", - # Melancholia - "opensub_4421330", - "opensub_4406991", - "opensub_4418817", - # Ambassadøren - "opensub_4557721", - # Antichrist - "opensub_5511502", - "opensub_3938655", - "opensub_3636940", - "opensub_3564521", - "opensub_3562215", - # En kongelig affære - "opensub_4725493", - "opensub_4725160", - "opensub_4725159", - "opensub_4916871", - "opensub_5186746", - # Brødre - "opensub_233943", - "opensub_87475", -} -``` - -We have additionally removed duplicate entries from the original dataset. - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` diff --git a/data/opensubtitles/opensubtitles.parquet b/data/opensubtitles/opensubtitles.parquet deleted file mode 100644 index 86effa7cd8966c8214df32385ada9e18575c9bb4..0000000000000000000000000000000000000000 --- a/data/opensubtitles/opensubtitles.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1c80228f2095281e8e1ce2339a071873299dee2912f83706bf271ea782a94b39 -size 496269823 diff --git a/data/pleias-public-domain/tmp/Danish-PD b/data/pleias-public-domain/tmp/Danish-PD deleted file mode 160000 index 21a73245f38f5af9db853c12aa5231fc3dca80a3..0000000000000000000000000000000000000000 --- a/data/pleias-public-domain/tmp/Danish-PD +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 21a73245f38f5af9db853c12aa5231fc3dca80a3 diff --git a/data/relig/descriptive_stats.json b/data/relig/descriptive_stats.json deleted file mode 100644 index 5503cf2ac96024ad5385f39892eb29dafa216596..0000000000000000000000000000000000000000 --- a/data/relig/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 66, "average_document_length": 53873.56060606061, "number_of_tokens": 1243970, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/relig/images/dist_document_length.png b/data/relig/images/dist_document_length.png deleted file mode 100644 index 3428c64091cb2655a9e4423d67ddc85ce7a4d4aa..0000000000000000000000000000000000000000 --- a/data/relig/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6d49a67bfbc7b886985a767045b17b229bca49c3024af37e693bffd711aa45cc -size 531354 diff --git a/data/relig/relig.md b/data/relig/relig.md index f79f034bad237cc5868de0f21592f9fa70ea87ed..c40f0068eb64963dfd0835c52ab8dd0c335a5b4a 100644 --- a/data/relig/relig.md +++ b/data/relig/relig.md @@ -3,7 +3,7 @@ pretty_name: Religious texts language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,87 +11,46 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - # Dataset Card for Religious texts - - -Danish religious text from the 1700-2022. - - - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 66 -- **Number of tokens (Llama 3)**: 1.24M -- **Average document length (characters)**: 53873.56 - - - - -## Dataset Structure +- **Number of records:** 66 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Salomos Højsang\nKys mig, giv mig Kys af din mund thi din Kærlighed er bedre end Vin.\nLifligt dufter [...]", - "source": "relig", - "id": "relig_SON", - "added": "2020-09-14", - "created": "1700-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "Religious texts" - } + 'text': 'Salomos Højsang +Kys mig, giv mig Kys af din mund t', + 'source': 'relig', + 'id': 'relig_SON', + 'added': '2020-09-14', + 'created': '1700-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Wiki & Books', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Religious texts' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/retsinformationdk/descriptive_stats.json b/data/retsinformationdk/descriptive_stats.json deleted file mode 100644 index 5da7ab21cb38efcad6c953e61b8e92c8f5b33969..0000000000000000000000000000000000000000 --- a/data/retsinformationdk/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 64043, "average_document_length": 22248.525506300455, "number_of_tokens": 516537034, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/retsinformationdk/images/dist_document_length.png b/data/retsinformationdk/images/dist_document_length.png deleted file mode 100644 index 38e939588890de848aa33d766cb63bf5927a2b53..0000000000000000000000000000000000000000 --- a/data/retsinformationdk/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:196bc440da93f2960a44f47d0d8c394bad2ef31648216d8d38c9203670f2c996 -size 569983 diff --git a/data/retsinformationdk/retsinformationdk.md b/data/retsinformationdk/retsinformationdk.md index 69bb2e4854b07d82167501b1e479eb25c9453627..0be754094f5bbae7794e1ed4d643d7180a5a2956 100644 --- a/data/retsinformationdk/retsinformationdk.md +++ b/data/retsinformationdk/retsinformationdk.md @@ -11,72 +11,41 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - # Dataset Card for retsinformation.dk (Danish legal information) - - -[retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark. - - - -It serves as a central repository for Danish legislation, administrative regulations, and other legally binding documents. The platform ensures transparency and public access to laws and legal materials. The sites includes: - -1. **Legislation**: Danish laws, acts, and statutes passed by the Parliament (Folketinget). -2. **Administrative Regulations**: Rules, guidelines, and executive orders issued by governmental authorities. -3. **Historical Versions**: Archived versions of laws and regulations, useful for legal research or historical reference. -4. **Preparatory Works** (Forarbejder): Documents explaining the background and intent behind legislative acts, such as proposals and committee reports. -5. **Case Law References**: Links to decisions and interpretations that relate to specific legislation. - - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 64.04K -- **Number of tokens (Llama 3)**: 516.54M -- **Average document length (characters)**: 22248.53 - - - -## Dataset Structure +- **Number of records:** 64043 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. +```yaml +{ + 'text': 'Den fulde tekst Pressenævnets kendelse i sag nr. 1', + 'source': 'retsinformationdk', + 'id': 'retsinformationdk_173889', + 'added': '2019-11-22', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Legal', + 'license': 'Danish Copyright law at https://www.retsinformation.dk/forms/r0710.aspx?id=164796 states + § 9. Love, administrative forskrifter, retsafgørelser og lignende offentlige aktstykker er ikke genstand for ophavsret. - -```py -{ - "text": "Den fulde tekst Pressenævnets kendelse i sag nr. 15-70-00822\nResumé\nForeningen for Skånsomt Kystfisk[...]", - "source": "retsinformationdk", - "id": "retsinformationdk_173889", - "added": "2019-11-22", - "created": "2000-01-01, 2022-01-01", - "license": "Danish Copyright law at https://www.retsinformation.dk/forms/r0710.aspx?id=164796 states \n\n § 9. Lov[...]", - "domain": "Legal", - "metadata": { - "source-pretty": "retsinformation.dk (Danish legal information)" - } +Stk. 2. Bestemmelsen i stk. 1 gælder ikke for værker, der fremtræder som selvstændige bidrag i de i stk. 1 nævnte aktstykker. Sådanne værker må dog gengives i forbindelse med aktstykket. Retten til videre udnyttelse afhænger af de i øvrigt gældende regler. +', + 'source-pretty': 'retsinformation.dk (Danish legal information)' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## Data Fields +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. ## License Information
@@ -90,31 +59,3 @@ Stk. 2. Bestemmelsen i stk. 1 gælder ikke for værker, der fremtræder som selv

- - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` diff --git a/data/retspraksis/descriptive_stats.json b/data/retspraksis/descriptive_stats.json deleted file mode 100644 index f465527475350826773d6f74db1bf19a254a6f7b..0000000000000000000000000000000000000000 --- a/data/retspraksis/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 4413, "average_document_length": 46323.66915930206, "number_of_tokens": 57080441, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/retspraksis/images/dist_document_length.png b/data/retspraksis/images/dist_document_length.png deleted file mode 100644 index 7a7128f1868cb27a3fb2a3784fb3bfdb7aa1f949..0000000000000000000000000000000000000000 --- a/data/retspraksis/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f97a62ea36f9c0cf2b214d3b88f626dba6bb40abc4b6574bc63fd476996b45e3 -size 556980 diff --git a/data/retspraksis/retspraksis.md b/data/retspraksis/retspraksis.md index db674d1af1bf7c89a2d553c6343a155335226155..17b45ae250fc5a961ae04d84f1ce88fd26784931 100644 --- a/data/retspraksis/retspraksis.md +++ b/data/retspraksis/retspraksis.md @@ -3,7 +3,7 @@ pretty_name: retspraksis (Danish legal information) language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,90 +11,46 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- -# Dataset Card for retspraksis - - -Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis). - - - -It encompasses the body of legal decisions made by Danish courts, which play a significant role in interpreting and applying the law. - - +# Dataset Card for retspraksis (Danish legal information) ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 4.41K -- **Number of tokens (Llama 3)**: 57.08M -- **Average document length (characters)**: 46323.67 - - - - -## Dataset Structure +- **Number of records:** 4413 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": " højesterets dom\n afsagt torsdag den 6. december [...]", - "source": "retspraksis", - "id": "retspraksis_517", - "added": "2020-09-24", - "created": "2000-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Legal", - "metadata": { - "source-pretty": "retspraksis (Danish legal information)" - } + 'text': 'højesterets dom + afsagt tor', + 'source': 'retspraksis', + 'id': 'retspraksis_517', + 'added': '2020-09-24', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Legal', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'retspraksis (Danish legal information)' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/skat/descriptive_stats.json b/data/skat/descriptive_stats.json deleted file mode 100644 index 4a02437462694b0d590f2e63a6242a0eaf879f33..0000000000000000000000000000000000000000 --- a/data/skat/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 14716, "average_document_length": 24026.800964936123, "number_of_tokens": 122120389, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/skat/images/dist_document_length.png b/data/skat/images/dist_document_length.png deleted file mode 100644 index 70b5d4cb34f325c596787454dc7ffd5cfed7d00b..0000000000000000000000000000000000000000 --- a/data/skat/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f6e954b65f6d5eebf91cfa809857d7bb53e14884f0b1053b9c856d2038956d55 -size 547234 diff --git a/data/skat/skat.md b/data/skat/skat.md index bfbd4a8cdeb0818903235c38b589997478990ef4..7ccc4a3a5dc2a7d17b097802fef445b054d2292f 100644 --- a/data/skat/skat.md +++ b/data/skat/skat.md @@ -1,9 +1,9 @@ --- -pretty_name: skat.dk +pretty_name: Skat (Danish tax authority) language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 10k-100k task_categories: @@ -11,86 +11,45 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- -# Dataset Card for skat.dk - - -Skat is the Danish tax authority. This dataset contains content from its website skat.dk. - - - +# Dataset Card for Skat (Danish tax authority) ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 14.72K -- **Number of tokens (Llama 3)**: 122.12M -- **Average document length (characters)**: 24026.80 - - - - -## Dataset Structure +- **Number of records:** 14716 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Andelsboligforeningers levering af brugsrettigheder til andelshaverne mod betaling af boligafgift si[...]", - "source": "skat", - "id": "skat_SKM2010.712.SKAT", - "added": "2020-10-01", - "created": "2000-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Legal", - "metadata": { - "source-pretty": "Skat (Danish tax authority)" - } + 'text': 'Andelsboligforeningers levering af brugsrettighede', + 'source': 'skat', + 'id': 'skat_SKM2010.712.SKAT', + 'added': '2020-10-01', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Legal', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Skat (Danish tax authority)' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/spont/descriptive_stats.json b/data/spont/descriptive_stats.json deleted file mode 100644 index 5d10d936a320908700b98be86929fef0f818f7ea..0000000000000000000000000000000000000000 --- a/data/spont/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 411, "average_document_length": 9736.79805352798, "number_of_tokens": 1555942, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/spont/images/dist_document_length.png b/data/spont/images/dist_document_length.png deleted file mode 100644 index 5146bb15f62cf1816d62c862aae97751e5413676..0000000000000000000000000000000000000000 --- a/data/spont/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5076a1718ea07d7ca57b910b671e230f02ae49c153179bf04a7b24ddaaa5c43d -size 540333 diff --git a/data/spont/spont.md b/data/spont/spont.md index 59d7053a02e3523bfece205ed422c5ee4e9532fe..169eaf82722e41ab47d0e32041f035749c76a46e 100644 --- a/data/spont/spont.md +++ b/data/spont/spont.md @@ -3,7 +3,7 @@ pretty_name: Spontaneous speech language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,88 +11,48 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- # Dataset Card for Spontaneous speech - - -Conversational samples collected as a part of research projects at Aarhus University. - - - -The conversational corpus included originates from interdisciplinary research conducted within the [Interacting Minds Centre](https://interactingminds.au.dk), and [the Puzzle of Danish project](https://projects.au.dk/the-puzzle-of-danish/) at Aarhus University. Transcribed Danish speech is generally a rare kind of data, and spontaneous speech especially so; these manually transcribed conversations thus form a valuable resource. Spontaneous and pseudo-spontaneous conversations come from various contexts, e.g., getting to know each other, solving a puzzle together, or making joint decisions. The participants have agreed on releasing anonymized transcripts of their conversations. All conversations involve two speakers, sometimes conversing face-to-face, sometimes via a chat tool. Speech is transcribed post-hoc by native speakers. Studies published relying on this data include [Fusaroli et al. (2012)](https://journals.sagepub.com/doi/10.1177/0956797612436816), [Dideriksen et al. (2019)](https://pure.au.dk/ws/portalfiles/portal/167670567/Dideriksen_et_al..pdf), and [Tylén et al. (2016)](https://pure.au.dk/ws/portalfiles/portal/101787937/The_Social_Route_To_Abstraction.pdf). - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 411 -- **Number of tokens (Llama 3)**: 1.56M -- **Average document length (characters)**: 9736.80 - - - - -## Dataset Structure +- **Number of records:** 411 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Taler 6: mm\nTaler 7: er du klar?\nTaler 6: ja\nTaler 7: så er spørgsmålet om vi skal- om det er sådan [...]", - "source": "spont", - "id": "spont_PuzzleOfDanish132", - "added": "2020-01-21", - "created": "2019-01-01, 2020-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Conversation", - "metadata": { - "source-pretty": "Spontaneous speech" - } + 'text': 'Taler 6: mm +Taler 7: er du klar? +Taler 6: ja +Taler', + 'source': 'spont', + 'id': 'spont_PuzzleOfDanish132', + 'added': '2020-01-21', + 'created': '2019-01-01, 2020-01-01', + 'metadata': { + 'domain': 'Conversation', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Spontaneous speech' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/synne/descriptive_stats.json b/data/synne/descriptive_stats.json deleted file mode 100644 index 96d98525c7cfc6eefc7fd486a90e4b86e79b6e78..0000000000000000000000000000000000000000 --- a/data/synne/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 178, "average_document_length": 785.3258426966293, "number_of_tokens": 52508, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/synne/images/dist_document_length.png b/data/synne/images/dist_document_length.png deleted file mode 100644 index ca338b57d341b0a455f676449048868fbf10716e..0000000000000000000000000000000000000000 --- a/data/synne/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6922619ae4310b1dcb83937c32477bb17be79695dd2d5b1875877213cfe5f8e4 -size 541624 diff --git a/data/synne/synne.md b/data/synne/synne.md index 88ce4dbe8a8b947553f72c1d8bc2e7aca868f7fd..db58444d9abfd3b5261b84516a41e5cfa987020e 100644 --- a/data/synne/synne.md +++ b/data/synne/synne.md @@ -1,9 +1,9 @@ --- -pretty_name: Synnejysk Forening +pretty_name: Synderjysk (Danish dialect) language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,86 +11,45 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- -# Dataset Card for synnejysk Forening - - -Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk. - - - +# Dataset Card for Synderjysk (Danish dialect) ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 178 -- **Number of tokens (Llama 3)**: 52.51K -- **Average document length (characters)**: 785.33 - - - - -## Dataset Structure +- **Number of records:** 178 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Mangeægskage Hent printvenligt dokument her – Klik her Som medlem af Æ Synnejysk Forening er du med [...]", - "source": "synne", - "id": "synne_forening_0140", - "added": "2020-06-26", - "created": "2000-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Other", - "metadata": { - "source-pretty": "Synderjysk (Danish dialect)" - } + 'text': 'Mangeægskage Hent printvenligt dokument her – Klik', + 'source': 'synne', + 'id': 'synne_forening_0140', + 'added': '2020-06-26', + 'created': '2000-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Other', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Synderjysk (Danish dialect)' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/tv2r/descriptive_stats.json b/data/tv2r/descriptive_stats.json deleted file mode 100644 index 46e51434900bd6a747e7c449846550c526f3227f..0000000000000000000000000000000000000000 --- a/data/tv2r/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 49137, "average_document_length": 1303.3820746077295, "number_of_tokens": 21671943, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/tv2r/images/dist_document_length.png b/data/tv2r/images/dist_document_length.png deleted file mode 100644 index 141fee78fb2656d58c6f8b7f89b2e5c45b7bc2e8..0000000000000000000000000000000000000000 --- a/data/tv2r/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:dbdd01ce0ff461b3136ccd975293397419d4de988a32d4f75e40741ff1f9a67b -size 545185 diff --git a/data/tv2r/tv2r.md b/data/tv2r/tv2r.md index b18a184c7fba04d67eb78b02206621a6820563a1..e2fab12cf62485ea1440a30459980c5c2d8e69f8 100644 --- a/data/tv2r/tv2r.md +++ b/data/tv2r/tv2r.md @@ -1,9 +1,9 @@ --- -pretty_name: TV 2 Radio +pretty_name: TV 2 Radio (Danish news) language: - da license: cc-by-sa-4.0 -license_name: CC-BY-SA 4.0 +license_name: Creative Commons Attribution Share Alike 4.0 size_categories: - 10k-100k task_categories: @@ -11,98 +11,45 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- -# Dataset Card for TV 2 Radio - +# Dataset Card for TV 2 Radio (Danish news) ## Dataset Description - - -Contemporary Danish newswire articles published between 2010 and 2019. - - - -It contains articles of regional interest, written following editorial standards. This section’s value is in both its temporal variation, covering a decade of events, and its spatial variation, covering many local events across most of Denmark (TV2 Bornholm is excluded). As a result of local event coverage, the section contains many locally relevant named entities, which might otherwise not be present in a dataset of national news. - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 49.14K -- **Number of tokens (Llama 3)**: 21.67M -- **Average document length (characters)**: 1303.38 - - - - -## Dataset Structure +- **Number of records:** 49137 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Storken er landet\n02 april 2017 kl. 17.58\nSøndag aften er storken Annika landet i sin rede ved Smeda[...]", - "source": "tv2r", - "id": "tv2r_92548", - "added": "2019-11-13", - "created": "2015-01-01, 2020-01-01", - "license": "The owner of this content is TV2 Regionerne, Denmark.\nCreative Commons Attribution 4.0 International", - "domain": "News", - "metadata": { - "source-pretty": "TV 2 Radio (Danish news)" - } + 'text': 'Storken er landet +02 april 2017 kl. 17.58 +Søndag a', + 'source': 'tv2r', + 'id': 'tv2r_92548', + 'added': '2019-11-13', + 'created': '2015-01-01, 2020-01-01', + 'metadata': { + 'domain': 'News', + 'license': 'The owner of this content is TV2 Regionerne, Denmark. +Creative Commons Attribution 4.0 International', + 'source-pretty': 'TV 2 Radio (Danish news)' + } } ``` -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## Data Fields +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. ## License Information
-CC-BY-SA 4.0 +Creative Commons Attribution Share Alike 4.0

The owner of this content is TV2 Regionerne, Denmark. Creative Commons Attribution 4.0 International

- -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` diff --git a/data/wiki/descriptive_stats.json b/data/wiki/descriptive_stats.json deleted file mode 100644 index 46d45b84b8f5cc90db7aec3955d77257cbc10a44..0000000000000000000000000000000000000000 --- a/data/wiki/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 264502, "average_document_length": 1386.6366794958071, "number_of_tokens": 122003880, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/wiki/images/dist_document_length.png b/data/wiki/images/dist_document_length.png deleted file mode 100644 index 2fc648e50fa65b564b0dd8db65c4c73905bf2650..0000000000000000000000000000000000000000 --- a/data/wiki/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3f8e898cfb59a74c2306d4b08a4a1bb32857cbef9ca029561587a5c83b1ed11f -size 568517 diff --git a/data/wiki/wiki.md b/data/wiki/wiki.md index e38202a882156f8ae1ca9696a1c04276e6866ad7..c21353f947e9f30d5e2f258539c13d3e9cd3edc0 100644 --- a/data/wiki/wiki.md +++ b/data/wiki/wiki.md @@ -3,7 +3,7 @@ pretty_name: Wikipedia language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 100k-1M task_categories: @@ -11,89 +11,45 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- # Dataset Card for Wikipedia - - -The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page). - - - -You can read more about wikipedia on their [about](https://en.wikipedia.org/wiki/Wikipedia:About) page. - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 264.50K -- **Number of tokens (Llama 3)**: 122.00M -- **Average document length (characters)**: 1386.64 - - - - -## Dataset Structure +- **Number of records:** 264502 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Vimoutiers er en kommune i departementet Orne i Basse-Normandie regionen i det nordvestlige Frankrig[...]", - "source": "wiki", - "id": "wiki_366127", - "added": "2021-03-28", - "created": "2019-01-01, 2021-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "Wikipedia" - } + 'text': 'Vimoutiers er en kommune i departementet Orne i Ba', + 'source': 'wiki', + 'id': 'wiki_366127', + 'added': '2021-03-28', + 'created': '2019-01-01, 2021-01-01', + 'metadata': { + 'domain': 'Wiki & Books', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Wikipedia' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/wikibooks/descriptive_stats.json b/data/wikibooks/descriptive_stats.json deleted file mode 100644 index f12d4431bf41cd171c9e66b18ac9c94783320cdc..0000000000000000000000000000000000000000 --- a/data/wikibooks/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 1319, "average_document_length": 13291.027293404093, "number_of_tokens": 6239127, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/wikibooks/images/dist_document_length.png b/data/wikibooks/images/dist_document_length.png deleted file mode 100644 index 601915b04ac83c0ae3a15d51f7e54be0ac6f6f5f..0000000000000000000000000000000000000000 --- a/data/wikibooks/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:99e7a1191b1499405081b8c9a2b29fde43d33ba5207bef5f47ef49a827dc695d -size 558428 diff --git a/data/wikibooks/wikibooks.md b/data/wikibooks/wikibooks.md index 77e1f8220879f6292db1038e66a055bc5746ddc9..0ec56bb04e87cce1f20400e454c82062f1c95f2d 100644 --- a/data/wikibooks/wikibooks.md +++ b/data/wikibooks/wikibooks.md @@ -3,7 +3,7 @@ pretty_name: Wikibooks language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,88 +11,46 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- - # Dataset Card for Wikibooks - - -The Danish Subsection of [Wikibooks](https://www.wikibooks.org). - - - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 1.32K -- **Number of tokens (Llama 3)**: 6.24M -- **Average document length (characters)**: 13291.03 - - - - -## Dataset Structure +- **Number of records:** 1319 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "Spilinfo.\nSpillet er lavet af Blizzard Entertainment.\nDet er efterfølgeren til Diablo 1, og der er k[...]", - "source": "wikibooks", - "id": "wikibooks_1125", - "added": "2021-03-28", - "created": "2019-01-01, 2021-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "Wikibooks" - } + 'text': 'Spilinfo. +Spillet er lavet af Blizzard Entertainme', + 'source': 'wikibooks', + 'id': 'wikibooks_1125', + 'added': '2021-03-28', + 'created': '2019-01-01, 2021-01-01', + 'metadata': { + 'domain': 'Wiki & Books', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Wikibooks' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code - -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/data/wikisource/descriptive_stats.json b/data/wikisource/descriptive_stats.json deleted file mode 100644 index aad26f6110aba43edbd0b61fb6411b2a48ab03c2..0000000000000000000000000000000000000000 --- a/data/wikisource/descriptive_stats.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_samples": 2429, "average_document_length": 6372.487855084397, "number_of_tokens": 5344937, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"} \ No newline at end of file diff --git a/data/wikisource/images/dist_document_length.png b/data/wikisource/images/dist_document_length.png deleted file mode 100644 index afa93ac998884c843e20ae7cad80360cb2ff0d01..0000000000000000000000000000000000000000 --- a/data/wikisource/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:ba4e35d3415a3c392ebfe99ed408b77bc35e3f1b08f0b83382d20901705720ad -size 559455 diff --git a/data/wikisource/wikisource.md b/data/wikisource/wikisource.md index 843664c07d663052ca20b07eabdd98b9440d0429..236d0b3f4a7e42fdb5077b6c8d3f3561f66c9dd1 100644 --- a/data/wikisource/wikisource.md +++ b/data/wikisource/wikisource.md @@ -3,7 +3,7 @@ pretty_name: Wikisource language: - da license: cc0-1.0 -license_name: CC-0 +license_name: Creative Commons Zero v1.0 Universal size_categories: - 1-10k task_categories: @@ -11,86 +11,47 @@ task_categories: - fill-mask task_ids: - language-modeling -source_datasets: - - danish-foundation-models/danish-gigaword --- # Dataset Card for Wikisource - - -The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page). - - - ## Dataset Description - - - -- **Language**: dan, dansk, Danish -- **Number of samples**: 2.43K -- **Number of tokens (Llama 3)**: 5.34M -- **Average document length (characters)**: 6372.49 - - - - -## Dataset Structure +- **Number of records:** 2429 +- **Languages:** Danish +## Dataset Sturcture An example from the dataset looks as follows. - - - -```py +```yaml { - "text": "<poem>\nKæmpehøjen.\nJeg har stået på mindets høje,\nfølt dets vemodsdybe lyst\nmed en tåre i mit [...]", - "source": "wikisource", - "id": "wikisource_4804", - "added": "2021-03-28", - "created": "1700-01-01, 2022-01-01", - "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal", - "domain": "Wiki & Books", - "metadata": { - "source-pretty": "Wikisource" - } + 'text': '<poem> +Kæmpehøjen. +Jeg har stået på mindets ', + 'source': 'wikisource', + 'id': 'wikisource_4804', + 'added': '2021-03-28', + 'created': '1700-01-01, 2022-01-01', + 'metadata': { + 'domain': 'Wiki & Books', + 'license': 'Creative Commons Legal Code + +CC0 1.0 Universal', + 'source-pretty': 'Wikisource' + } } ``` -### Data Fields +## Data Fields -An entry in the dataset consists of the following fields: +- **id**: source-specific identifier. +- **text**: textual content of the document. +- **source**: source of the data. +- **added**: timestamp ai2 acquired this data. +- **created**": timestamp when original document was created (best-guess if not available) +- **metadata**: source-specific metadata. -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - +## License Information +
+Creative Commons Zero v1.0 Universal +

+Creative Commons Legal Code -### Dataset Statistics - - - - - - - -## Additional Information - - -### Citation Information - -This dataset was initially published as part of the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite and reference it if you use this dataset: - -> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021). - -```bash -@inproceedings{dagw, - title = {{The Danish Gigaword Corpus}}, - author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab}, - year = 2021, - booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics}, - publisher = {NEALT} -} -``` +CC0 1.0 Universal +

+
diff --git a/descriptive_stats.json b/descriptive_stats.json deleted file mode 100644 index 3cf934a6d98125787998cac4d2b99f5c525f0907..0000000000000000000000000000000000000000 --- a/descriptive_stats.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "number_of_samples": 588922, - "average_document_length": 9245.09222613521, - "number_of_tokens": 1852293828, - "language": "dan, dansk, Danish", - "revision": "97b3aa5dd63b276422aad3b483e6850a9188c013" -} \ No newline at end of file diff --git a/docs/icon.png b/docs/icon.png deleted file mode 100644 index 85ec8fd2a7c2b36b51bbf0c66cf08c5663df84ca..0000000000000000000000000000000000000000 --- a/docs/icon.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4be894cbab404c0d5b5763a0f9dfd9aa71e69785a88384853db069cae8e9ed4a -size 181376 diff --git a/docs/logo.key b/docs/logo.key deleted file mode 100644 index de3acc58ef0c5a54a3df7bc0fd88367e445b96ff..0000000000000000000000000000000000000000 Binary files a/docs/logo.key and /dev/null differ diff --git a/images/dist_document_length.png b/images/dist_document_length.png deleted file mode 100644 index 34825f7b82820bef7dcdbc0a0e72c0f148cb920d..0000000000000000000000000000000000000000 --- a/images/dist_document_length.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:72c701f25a8a41e39c75c8bcb45f57464d7edc8ff72a5c816745349efa19899e -size 1436647 diff --git a/makefile b/makefile index 118dc09eb500276bc0e60cdd024c8b8de98a5524..ab188d43d4c7915a00e93b2966a1c0f84a666116 100644 --- a/makefile +++ b/makefile @@ -4,17 +4,9 @@ install: test: @echo "--- 🧪 Running tests ---" - uv run pytest src/tests/ | tee test_results.log - -lint: - @echo "--- 🧹 Running linters ---" - ruff format . # running ruff formatting - ruff check . --fix # running ruff linting + uv run pytest tests/ bump-version: @echo "--- 🚀 Bumping patch version ---" - uv run src/bump_version.py + uv run scripts/bump_version.py -update-descriptive-statistics: - @echo "--- 🚀 Recomputing Descriptive statistics ---" - uv run src/update_descriptive_statistics.py diff --git a/paper/figure_baseline.png b/paper/figure_baseline.png deleted file mode 100644 index ae64007b4d33472632b7ee07e18d844b5611c105..0000000000000000000000000000000000000000 --- a/paper/figure_baseline.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6cf32e792c92d9188a0e5a02ca2ffabe2516e97eb3914f4c5641fe5a47d8a045 -size 112746 diff --git a/paper/paper.md b/paper/paper.md index 94d3267d4250589b7d97adcaea605232a7f09933..406383ad65a41fa4a2aaa5acba7faa444d71ade9 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -1,48 +1,37 @@ -# Dynaword: Moving from One-shot to Continously Developed Datasets +# Danish DynaWord: Moving from one-shot dataset Continously developed datasets Authors: - + +This list of authors to be invited for co-authorship + +CHC - Kenneth Enevoldsen -- Kristian Nørgaaard Jensen - Jan Kostkan - -- Peter Bjørn Jørgensen - Per - Kristoffer Nielbo - - +DFM +- Bolette Pedersen (eller nogen fra hendes gruppe) +- Desmond +- Peter +Danish Royal Library? Other organization that are important to include? # Abstract -Large scale datasets are foundational for research and development in natural language processing and related fields and good datasets -often require multiple iterations to improve and adjust. -Despite this we see many releases of static datasets rather than intended continually expanding resourced, thus preventing community -contributions and expansion. Even when a large-scale dataset see versioned releases the filtering and quality assurance is often only done by the -team releasing the data. -And while we have seen impressive large-scale released these are often derived from Common crawl or related sources which is likely to contain -copyrighted data that does not support the stated license of the release. This restricts not only the use of the data, but also its derivates, such as -annotated data and language models. -In an attempt to remedy this shortcoming we developed Danish Dynaword. An illustrative example of how large-scale datasets can be developed. This dynawords contain more than 2x as many tokens as comparable releases, is restricted to strictly permissible licenses data and have seen multipl contributions across industry and research. -This dataset comes equipped with CI to ensure data format, quality, and high documentation standards than can be run in a developer-friendly -enviroments in under 10 minutes. -Along with this release we have additionally started dynawords projects for Norwegian, Swedish, Faroese, Icelandic. - - -dataset is available at: https://huggingface.co/datasets/danish-foundation-models/danish-dynaword +In this work we introduce dynaword an argument for moving toward continously developed dataset as opposed to current release and forget datasets. +As an example we release Danish DynaWord + +dataset is available at: LINK # Introduction @@ -59,51 +48,6 @@ While it is in theory possible to open a PR on existing dataset, this practice i Contrasting this approach to code development - where it is common practice to create PRs to continually improve the codebase - makes this dataset development landscape seems immature and inefficent. - - - - - -## What is a Dynaword - -A dynaword is a continously developed dataset resource intended a variety of downstream use-cases within natural language processing. Dynaword does intend to replace existing large scale releases such as fine-web [@fineweb], OSCAR [@OSCAR], or HLPT [@hplt], but rather -complement these in situation where clearly licensed dataset might be preferred. Some of these cases for example include: - -- Clearly license datasets lends itself to better to derivative providing good starting points for permissibly annotated datasets. -- EUs AI-act also poses requirement on the training data used for model training -- The EUs AI act makes the distributor of a model responsible for copyright violations and thus companies might prefer models derived from clearly permissible data. - - -### Continuous Development of large Scale datasets - -Cont - -### Design Considerations - ## Related work @@ -125,10 +69,9 @@ Existing projects on open-licensed data [@elutherAI] We note that our approach is complementary to existing projects such as fineweb +### Continuous Integration - - - +Do we need a section on this? ### Danish and Scandinavian Datasets @@ -184,46 +127,10 @@ This lack of clarity increased the likelihood of dataset attacks such as dataset - Machine generated content within training data: Not -- Often we are interested in high-quality data when training an LLM. However the presented dynaword only performs a minimal level of cleaning. While -this is a deliberate decision as certain model choices might warrant for different cleaning approaches. This could leave a substantial level of post-processing to the user of the dataset. -Ethical and Environmental consideration +Ethical and Environmental consideration enviromental: - common codebase lead to less duplication of dataset and reduces storage required - continual ci running on large datasets could be a concern. Currently out tests use a total of XXX Co2-eq (estimated using codecarbon). however we have already seen people using training [@fineweb] and evaluating LLMs to appriximate dataset quality, such workflows could quickly incrase the co2 consumption. - - - - -## Aditional content - -Comparison table - - -| | Size | Sufficient Documentation | Data availability | Legal Status | Quality | -| ---------------------- | ---- | ------------------------ | ----------------- | --------------- | -------------- | -| Danish Dynaword (Ours) | 3.5B | Replicable^ | Open Access | Openly Licensed | Mixed (high) | -| Danish Gigaword* | | Documentary | Open Access | Openly Licensed | Mixed (high) | -| Common Corpus (dan) | | Replicable | Open Access | Openly Licensed | OCR (low) | -| Fineweb (dan) | | Replicable | Open Access | | Mixed (medium) | - - - - - -*The Danish gigaword subsection included in Danish Dynaword. I.e. the subsection that is permissibly licensed. -^Some datasets are derived from Danish Gigaword, some of these subsection are not (currently) replicable - -This follows the scheme from figure 1 (https://arxiv.org/abs/2501.08365) - -Add comparison number of tokens comparison: -Common Corpus (DA) - -Gigaword (DA) - Open -M-Fineweb (DA) - - --> \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 9b25ac94c93a7cc1a2d55be852af77fc90c8c561..5faa61e51cb2e0281831a10717cddc028d98e27f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,24 +1,16 @@ [project] name = "danish-dynaword" -version = "1.0.11" +version = "1.0.3" description = "project code for the danish dynaword project" readme = "README.md" -requires-python = ">=3.12,<3.13" # 3.13 have issues with spacy and pytorch +requires-python = ">=3.13" dependencies = [ - # for commands - "datasets>=3.0.0", # loading and validating datasets - "gitpython>=3.1.43", # interacting with git - "pydantic>=2.10.4", # validating schemas - "tabulate>=0.9.0", # creating md table - "plotnine>=0.14.5", # figures - "tomlkit>=0.13.2", # reading toml - "transformers>=4.47.1", # tokenization - # development + "datasets>=3.0.0", "ipykernel>=6.29.5", - "pip>=25.0.1", - # test + "matplotlib>=3.10.0", + "numpy>=2.2.0", + "plotnine>=0.14.3", "pytest>=8.3.4", - # formatting - "ruff>=0.8.3", - # new + "seaborn>=0.13.2", + "tomlkit>=0.13.2", ] diff --git a/scripts/bump_version.py b/scripts/bump_version.py new file mode 100644 index 0000000000000000000000000000000000000000..9f92be683d7ec8c7e3cc79f15fbeb6a3848ec65f --- /dev/null +++ b/scripts/bump_version.py @@ -0,0 +1,15 @@ +from packaging.version import Version +from pathlib import Path + +import tomlkit +c_file = Path(__file__) +pyproject = c_file.parent.parent / "pyproject.toml" + + +with pyproject.open("r") as f: + data = tomlkit.load(f) + version = Version(data["project"]["version"]) + data["project"]["version"] = str(Version(f"{version.major}.{version.minor}.{version.micro + 1}")) + +with pyproject.open("w") as f: + tomlkit.dump(data, f) \ No newline at end of file diff --git a/src/bump_version.py b/src/bump_version.py deleted file mode 100644 index b4cad69482cd728d312b552c2dc947f2b239716e..0000000000000000000000000000000000000000 --- a/src/bump_version.py +++ /dev/null @@ -1,61 +0,0 @@ -from pathlib import Path - -import tomlkit -from packaging.version import Version - -c_file = Path(__file__) -pyproject = c_file.parent.parent / "pyproject.toml" - - -def get_version(pyproject_path: Path = pyproject) -> str: - with pyproject_path.open("r") as f: - data = tomlkit.load(f) - return data["project"]["version"] # type: ignore - - -def update_pyproject_version(version: str, pyproject_path: Path) -> None: - with pyproject_path.open("r") as f: - data = tomlkit.load(f) - data["project"]["version"] = version # type: ignore - - with pyproject_path.open("w") as f: - tomlkit.dump(data, f) - - -def update_readme(version: str, readme_path: Path) -> None: - """Find version in README table and update it.""" - start = "" - end = "" - - - with readme_path.open("r") as f: - lines = f.readlines() - - in_table = False - for i, line in enumerate(lines): - if start in line: - in_table = True - if in_table: - if "**Version**" in line: - lines[i] = f"| **Version** | {version} ([Changelog](/CHANGELOG.md)) |\n" - break - if end in line: - raise ValueError("**Version** not found in README table.") - - with readme_path.open("w") as f: - f.writelines(lines) - - -def main(pyproject_path: Path, readme_path: Path) -> None: - version = get_version(pyproject_path) - version = Version(version) - version = Version(f"{version.major}.{version.minor}.{version.micro + 1}") - update_pyproject_version(str(version), pyproject_path) - update_readme(str(version), readme_path) - - -if __name__ == "__main__": - c_file = Path(__file__) - pyproject_path = c_file.parent.parent / "pyproject.toml" - readme_path = c_file.parent.parent / "README.md" - main(pyproject_path, readme_path) diff --git a/src/git_utilities.py b/src/git_utilities.py deleted file mode 100644 index a00af86d518e92132b1ece58fdd9dce60eb59626..0000000000000000000000000000000000000000 --- a/src/git_utilities.py +++ /dev/null @@ -1,31 +0,0 @@ -from pathlib import Path - -from git import Repo - -repo_path = Path(__file__).parent.parent - - -def get_current_revision(repo_path: Path = repo_path) -> str: - repo = Repo(repo_path) - commit_id = repo.head.object.hexsha - return commit_id - - -def get_latest_revision(path: Path, repo_path=repo_path) -> str | None: - repo = Repo(repo_path) - - if not path.exists(): - raise ValueError("path does not exist.") - - try: - last_commit_for_file = next(repo.iter_commits(paths=path, max_count=1)) - return last_commit_for_file.hexsha - except StopIteration: - return None - - -def check_is_ancestor(ancestor_rev: str, rev: str | None, repo_path=repo_path) -> bool: - if rev is None: # e.g. when cases are not submitted yet - return False - repo = Repo(repo_path) - return repo.is_ancestor(repo.commit(ancestor_rev), repo.commit(rev)) diff --git a/src/tests/conftest.py b/src/tests/conftest.py deleted file mode 100644 index 7b273f7cbc3e3722ae90e0f0cfa4e2754f72fc37..0000000000000000000000000000000000000000 --- a/src/tests/conftest.py +++ /dev/null @@ -1,33 +0,0 @@ -from pathlib import Path -from typing import Any - -import pytest -import yaml - -from tests.readme_parsing import read_frontmatter_and_body - -root_path = Path(__file__).parent.parent.parent - -main_readme = root_path / "README.md" - -frontmatter, _ = read_frontmatter_and_body(main_readme) -DATASET_NAMES = [ - cfg["config_name"] - for cfg in frontmatter["configs"] - if cfg["config_name"] != "default" -] - - -@pytest.fixture() -def repo_path() -> Path: - return root_path - - -def readme_yaml_header(repo_path: Path) -> dict[str, Any]: - readme_path = repo_path / "README.md" - - with readme_path.open("r") as f: - readme = f.read() - - frontmatter = readme.split("---")[1] - return yaml.safe_load(frontmatter) diff --git a/src/tests/readme_parsing.py b/src/tests/readme_parsing.py deleted file mode 100644 index 8e6964195e1ce45d15178c8de7154217cc535aee..0000000000000000000000000000000000000000 --- a/src/tests/readme_parsing.py +++ /dev/null @@ -1,54 +0,0 @@ -from pathlib import Path -from typing import Any - -import yaml - - -def read_frontmatter_and_body(file_path: Path) -> tuple[dict[str, Any], str]: - with file_path.open("r") as f: - content = f.read() - if content.startswith("---"): - end_idx = content.find("---", 3) - if end_idx != -1: - frontmatter = content[3:end_idx].strip() - return yaml.safe_load(frontmatter), content[end_idx:] - raise ValueError(f"No frontmatter found in file: {file_path}") - - -def get_tag_idx(readme: str, tag: str) -> tuple[int, int]: - tag_start = f"" - tag_end = f"" - start_idx = readme.find(tag_start) - end_idx = readme.find(tag_end) - if end_idx != -1 and start_idx != -1 and start_idx < end_idx: - return start_idx, end_idx - raise ValueError(f"tag ({tag}) not found in readme") - - -def get_tag_content(readme: str, tag: str) -> str: - s, e = get_tag_idx(readme, tag=tag) - tag_start = f"" - return readme[s + len(tag_start) : e].strip() - - -def replace_tag(markdown: str | Path, package: str, tag: str) -> str: - if isinstance(markdown, Path): - with markdown.open("r") as f: - md = f.read() - new_markdown = replace_tag(md, package=package, tag=tag) - with markdown.open("w") as f: - f.write(new_markdown) - return new_markdown - - tag_start = f"" - tag_end = f"" - - if markdown.count(tag_start) != 1 or markdown.count(tag_end) != 1: - raise ValueError( - f"The markers ({tag_start} ... {tag_end}) does not appear in the markdown. Markers should appear exactly once in the markdown." - ) - - start_md, _, remainder = markdown.partition(tag_start) - _, _, end_md = remainder.partition(tag_end) - - return f"{start_md}{tag_start}\n{package.strip()}\n{tag_end}{end_md}" diff --git a/src/tests/test_dataset_schema.py b/src/tests/test_dataset_schema.py deleted file mode 100644 index 9ba8774afe7a1b3fa97fc9f3f294bb7b5b1e37f8..0000000000000000000000000000000000000000 --- a/src/tests/test_dataset_schema.py +++ /dev/null @@ -1,98 +0,0 @@ -from datetime import date -from pathlib import Path -from typing import Any, Literal - -import pytest -from datasets import load_dataset -from pydantic import AfterValidator, BaseModel, BeforeValidator -from typing_extensions import Annotated - -from .conftest import DATASET_NAMES -from .readme_parsing import get_tag_idx, read_frontmatter_and_body - - -def ensure_tuple(created: str | tuple) -> tuple: - if isinstance(created, str): - return tuple(created.split(", ")) - return created - - -def validate_sample_metadata(metadata: dict[str, Any]) -> dict[str, Any]: - if "source-pretty" not in metadata: - raise ValueError("'source-pretty' should be in metadata dict.") - return metadata - - -class SampleSchema(BaseModel): - text: str - source: str - id: str - added: date # date.fromisoformat - created: Annotated[tuple[date, date], BeforeValidator(ensure_tuple)] - license: str # TODO: should probably be a literal - domain: str # TODO: convert to literal - metadata: Annotated[dict[str, Any], AfterValidator(validate_sample_metadata)] - - -@pytest.mark.parametrize("dataset_name", DATASET_NAMES) -def test_sample_schema(repo_path: Path, dataset_name: str): - """Ensure that the dataset samples follow the correct schema""" - - ds = load_dataset( - str(repo_path.resolve()), dataset_name, split="train", streaming=True - ) - sample = next(iter(ds)) - SampleSchema(**sample) - - -class FrontmatterSchema(BaseModel): - pretty_name: str - language: list[Literal["da"]] - license: Literal["cc0-1.0", "other", "cc-by-sa-4.0", "apache-2.0"] - - -@pytest.mark.parametrize("dataset_name", DATASET_NAMES) -def test_dataset_readme(repo_path: Path, dataset_name: str): - """tests that the dataset frontmatter and markdown follows the correct format.""" - - readme = repo_path / "data" / dataset_name / f"{dataset_name}.md" - - frontmatter, body = read_frontmatter_and_body(readme) - frontmatter_validated = FrontmatterSchema(**frontmatter) - - # ensure tags: - tags = ["SHORT DESCRIPTION", "DESC-STATS", "DATASET PLOTS", "SAMPLE"] - for tag in tags: - get_tag_idx(body, tag) - - h2_headings = {line for line in body.splitlines() if line.startswith("## ")} - - if ( - frontmatter_validated.license == "other" - ): # ensure description of underspecified licenses - assert "## License Information" in h2_headings - - # required headings - req_h2_headings = ["## Dataset Description", "## Additional Information"] - for req_h2 in req_h2_headings: - assert req_h2 in h2_headings - pass - - -@pytest.mark.parametrize("dataset_name", DATASET_NAMES) -def test_dataset_folder_structure(repo_path: Path, dataset_name: str): - """tests that the dataset folder structure is as follows. - - dataset_name - |- dataset_name.md - |- dataset_name.parquet - - If there is a python file, there should at least be one called `create.py`, but there can be additional. - """ - path = repo_path / "data" / dataset_name - - assert (path / f"{path.name}.parquet").exists() - assert (path / f"{path.name}.md").exists() - - if any(p.name.endswith(".py") for p in path.glob("*")): - assert (path / "create.py").exists() diff --git a/src/tests/test_duplicates.py b/src/tests/test_duplicates.py deleted file mode 100644 index 5138d8c266cc83d5e8791bbd59caaaebb6754fd3..0000000000000000000000000000000000000000 --- a/src/tests/test_duplicates.py +++ /dev/null @@ -1,24 +0,0 @@ -from pathlib import Path -from typing import cast - -import pytest -from datasets import Dataset, load_dataset - -from .conftest import DATASET_NAMES - - -@pytest.mark.skip("This currently fails for a number of datasets") # TODO: fix this -@pytest.mark.parametrize("dataset_name", DATASET_NAMES) -def test_no_within_data_duplicates(repo_path: Path, dataset_name: str): - ds = load_dataset(str(repo_path.resolve()), dataset_name, split="train") - ds = cast(Dataset, ds) - - assert len(set(ds["text"])) == len(ds) - - -@pytest.mark.skip("This currently fails (see test above)") # TODO: fix this -def test_no_data_duplicates(repo_path: Path): - ds = load_dataset(str(repo_path.resolve()), split="train") - ds = cast(Dataset, ds) - - assert len(set(ds["text"])) == len(ds) diff --git a/src/tests/test_load.py b/src/tests/test_load.py deleted file mode 100644 index f19419ca12aa85d1d1dbf584bcb669674eb2c9d2..0000000000000000000000000000000000000000 --- a/src/tests/test_load.py +++ /dev/null @@ -1,31 +0,0 @@ -from pathlib import Path - -from datasets import load_dataset - -from tests.readme_parsing import read_frontmatter_and_body - -REMOVED_DATA = ["lexdk"] # data that has been removed due to legal disputes, question about legality, or similar - -def test_dataset_loads(repo_path: Path): - """Ensures that the dataset can load as intended""" - name = str(repo_path.resolve()) - ds = load_dataset(name, split="train", streaming=True) - sample = next(iter(ds)) - assert isinstance(sample, dict) - - -def test_all_datasets_in_yaml(repo_path: Path): - frontmatter, _ = read_frontmatter_and_body(repo_path / "README.md") - - ds_names = { - cfg["config_name"] - for cfg in frontmatter["configs"] - if cfg["config_name"] != "default" - } - - data_folder = repo_path / "data" - datasets = data_folder.glob("*") - - for dataset in datasets: - if dataset.name not in REMOVED_DATA: - assert dataset.name in ds_names diff --git a/src/update_descriptive_statistics.py b/src/update_descriptive_statistics.py deleted file mode 100644 index b7e19b3430366a7b8e1512587d436f1e524abb9b..0000000000000000000000000000000000000000 --- a/src/update_descriptive_statistics.py +++ /dev/null @@ -1,405 +0,0 @@ -""" -A simple CLI to updates descriptive statistics on all datasets. - -Example use: - - python update_descriptive_statistics.py --dataset wikisource - -""" - -import argparse -import json -import logging -import multiprocessing -from dataclasses import dataclass -from pathlib import Path -from textwrap import dedent -from datetime import datetime -from typing import Self, cast - -import pandas as pd -import plotnine as pn -from datasets import Dataset, load_dataset -from transformers import AutoTokenizer - -from git_utilities import check_is_ancestor, get_current_revision, get_latest_revision -from tests.readme_parsing import get_tag_content, read_frontmatter_and_body, replace_tag - -logger = logging.getLogger(__name__) - -repo_path = Path(__file__).parent.parent - -tokenizer_name = "AI-Sweden-Models/Llama-3-8B-instruct" -tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, use_fast=True) - - -def human_readable_large_int(value: int) -> str: - thresholds = [ - (1_000_000_000, "B"), - (1_000_000, "M"), - (1_000, "K"), - ] - for threshold, label in thresholds: - if value > threshold: - return f"{value/threshold:.2f}{label}" - - return str(value) - - -def calculate_average_document_length( - dataset: Dataset, text_column: str = "text" -) -> float: - texts = sum(len(t) for t in dataset[text_column]) - return texts / len(dataset) - - -def _count_tokens(batch): - return { - "token_count": [ - len(tokens) - for tokens in tokenizer(batch["text"], padding=False)["input_ids"] # type: ignore - ] - } - - -def calculate_number_of_tokens( - dataset: Dataset, - text_column: str = "text", - num_proc: int = 1, -) -> int: - token_counts = dataset.map( - _count_tokens, - batched=True, - batch_size=1000, - num_proc=num_proc, - ) - return sum(token_counts["token_count"]) - - -@dataclass() -class DescriptiveStatsOverview: - number_of_samples: int - average_document_length: float - number_of_tokens: int - language: str = "dan, dansk, Danish" - - @classmethod - def from_dataset(cls, dataset: Dataset, num_proc: int = 1) -> Self: - return cls( - number_of_samples=len(dataset), - average_document_length=calculate_average_document_length(dataset), - number_of_tokens=calculate_number_of_tokens(dataset, num_proc=num_proc), - ) - - def to_markdown(self) -> str: - format = dedent(f""" - - - **Language**: {self.language} - - **Number of samples**: {human_readable_large_int(self.number_of_samples)} - - **Number of tokens (Llama 3)**: {human_readable_large_int(self.number_of_tokens)} - - **Average document length (characters)**: {self.average_document_length:.2f} - - """) - return format - - def add_to_markdown(self, markdown: str | Path) -> str: - return replace_tag( - markdown=markdown, package=self.to_markdown(), tag="DESC-STATS" - ) - - def to_disk( - self, path: Path - ): # TODO: instead write this to the yaml header (and revision should not be added here) - data = self.__dict__ - data["revision"] = get_current_revision() - with path.with_suffix(".json").open("w") as f: - json.dump(self.__dict__, f, indent=2) - - @classmethod - def from_disk(cls, path: Path): - with path.open("r") as f: - data = json.load(f) - if "revision" in data: - data.pop("revision") - obj = cls(**data) - return obj - - -sample_template = """ -```py -{sample} -``` - -### Data Fields - -An entry in the dataset consists of the following fields: - -- `text`(`str`): The content of the document. -- `source` (`str`): The source of the document (see [Source Data](#source-data)). -- `id` (`str`): An unique identifier for each document. -- `added` (`str`): An date for when the document was added to this collection. -- `created` (`str`): An date range for when the document was originally created. -- `license` (`str`): The license of the document. The licenses vary according to the source. -- `domain` (`str`): The domain of the source -- `metadata/source-pretty` (`str`): The long form version of the short-form source name -- `metadata/*`: Potentially additional metadata - -""" - - -def add_sample(markdown_path: Path, dataset: Dataset, max_str_len: int = 100): - logger.info("Adding dataset sample to readme") - sample = dataset[0] - for k in sample: - if isinstance(sample[k], str) and len(sample[k]) > max_str_len: - sample[k] = sample[k][:max_str_len] + "[...]" - if isinstance(sample[k], datetime): - sample[k] = str(sample[k]) - - json_sample = json.dumps(sample, indent=2, ensure_ascii=False) - sample_str = sample_template.format(sample=json_sample) - - replace_tag(markdown=markdown_path, package=sample_str, tag="SAMPLE") - - -DATASET_PLOTS_template = """ - - -""" - - -def add_descriptive_statistics_plots( - markdown_path: Path, - dataset: Dataset, -): - logger.info("Adding descriptive statistics plot to readme.") - lengths = [len(s) for s in dataset["text"]] - df = pd.DataFrame({"lengths": lengths, "Source": dataset["source"]}) - - plot = ( - pn.ggplot(df, pn.aes(x="lengths", y=pn.after_stat("count"))) - + pn.geom_histogram(bins=100) - + pn.labs( - x="Document Length (Characters)", - y="Count", - title="Distribution of Document Lengths", - ) - + pn.theme_minimal() - + pn.facet_wrap("Source", scales="free", ncol=3) - ) - - img_path = markdown_path.parent / "images" - img_path.mkdir(parents=False, exist_ok=True) - pn.ggsave( - plot, - img_path / "dist_document_length.png", - dpi=500, - width=10, - height=10, - units="in", - verbose=False, - ) - - replace_tag( - markdown=markdown_path, package=DATASET_PLOTS_template, tag="DATASET PLOTS" - ) - - -def add_desc_statitics( - markdown_path: Path, - dataset: Dataset, - desc_stats_path: Path, - num_proc: int = 1, -) -> None: - logger.info("Adding descriptive statistics to readme.") - desc_stats = DescriptiveStatsOverview.from_dataset(dataset, num_proc=num_proc) - desc_stats.to_disk(desc_stats_path) - desc_stats.add_to_markdown(markdown_path) - - -def update_dataset( - dataset_path: Path, - name: str, - readme_name: None | str = None, - force: bool = False, - num_proc: int = 1, -) -> None: - rev = get_latest_revision(dataset_path) - desc_stats_path = dataset_path / "descriptive_stats.json" - - if desc_stats_path.exists() and force is False: - with desc_stats_path.open("r") as f: - last_update = json.load(f).get("revision", None) - - if last_update is None: - logger.warning(f"revision is not defined in {desc_stats_path}.") - elif check_is_ancestor(ancestor_rev=last_update, rev=rev): - logger.info( - f"descriptive statistics for '{name}' is already up to date, skipping." - ) - return - - readme_name = f"{name}.md" if readme_name is None else readme_name - markdown_path = dataset_path / readme_name - - logger.info(f"Updating dataset: {name}") - - ds = load_dataset(str(repo_path), name, split="train") - ds = cast(Dataset, ds) - - add_desc_statitics(markdown_path, ds, desc_stats_path, num_proc=num_proc) - add_sample(markdown_path, ds) - add_descriptive_statistics_plots(markdown_path, ds) - - -def create_parser(): - parser = argparse.ArgumentParser( - description="Calculated descriptive statistics of the datasets in tha data folder" - ) - parser.add_argument( - "--dataset", - default=None, - type=str, - help="Use to specify if you only want to compute the statistics from a singular dataset.", - ) - parser.add_argument( - "--logging_level", - default=20, - type=int, - help="Sets the logging level. Default to 20 (INFO), other reasonable levels are 10 (DEBUG) and 30 (WARNING).", - ) - parser.add_argument( - "--force", - type=bool, - default=False, - action=argparse.BooleanOptionalAction, - help="Should the statistics be forcefully recomputed. By default it checks the difference in commit ids.", - ) - parser.add_argument( - "--repo_path", - default=str(repo_path), - type=str, - help="The repository where to calculate the descriptive statistics from", - ) - parser.add_argument( - "--num_proc", - default=multiprocessing.cpu_count(), - type=int, - help="The number of processes to use.", - ) - return parser - - -def create_main_table(repo_path: Path = repo_path) -> tuple[pd.DataFrame, str, str]: - frontmatter, _ = read_frontmatter_and_body(repo_path / "README.md") - datasets = [ - cfg["config_name"] - for cfg in frontmatter["configs"] - if cfg["config_name"] != "default" - ] - - table = { - "Source": [], - "Description": [], - # "Domain": [], # TODO Add domain - "N. Tokens": [], - "License": [], - } - readme_references = "" - license_references = ( - "[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en\n" - + "[CC-BY-SA 4.0]: https://creativecommons.org/licenses/by-sa/4.0/deed.en\n" - + "[Apache 2.0]: https://www.apache.org/licenses/LICENSE-2.0\n" - ) - - for dataset in datasets: - dataset_path = repo_path / "data" / dataset - readme_path = dataset_path / f"{dataset_path.name}.md" - frontmatter, body = read_frontmatter_and_body(readme_path) - desc_stats = DescriptiveStatsOverview.from_disk( - dataset_path / "descriptive_stats.json" - ) - - short_description = get_tag_content(body, tag="SHORT DESCRIPTION").strip()[ - :-1 - ] # to exclude "." - license, license_name = frontmatter["license"], frontmatter["license_name"] - - table["Source"] += [f"[{dataset_path.name}]"] - readme_references += ( - f"[{dataset_path.name}]: data/{dataset_path.name}/{dataset_path.name}.md\n" - ) - - table["License"] += [f"[{license_name}]"] - if license == "other": - license_references += f"[{license_name}]: ./data/{dataset_path.name}/{dataset_path.name}.md#license-information\n" - table["Description"] += [short_description] - table["N. Tokens"] += [desc_stats.number_of_tokens] - - # total - table["Source"] += ["**Total**"] - # table["Domain"] += [""] - table["License"] += [""] - table["Description"] += [""] - table["N. Tokens"] += [sum(table["N. Tokens"])] - - df = pd.DataFrame.from_dict(table) - df = df.sort_values("N. Tokens") - df["N. Tokens"] = df["N. Tokens"].apply(human_readable_large_int) - - return df, readme_references, license_references - - -def update_main_table(repo_path: Path = repo_path) -> None: - logger.info("Updating MAIN TABLE") - main_table, readme_references, license_references = create_main_table(repo_path) - readme_path = repo_path / "README.md" - with readme_path.open("r") as f: - markdown = f.read() - package = f"{main_table.to_markdown(index=False)}\n\n{readme_references}\n\n{license_references}\n\n" - markdown = replace_tag(markdown, package=package, tag="MAIN TABLE") - with readme_path.open("w") as f: - f.write(markdown) - - -def main( - dataset: str | None = None, - logging_level: int = 20, - force: bool = False, - repo_path: Path = repo_path, - num_proc: int | None = None, -) -> None: - logging.basicConfig(level=logging_level) - - num_proc = multiprocessing.cpu_count() if num_proc is None else num_proc - - if dataset and dataset != "default": - dataset_path = repo_path / "data" / dataset - update_dataset(dataset_path, dataset_path.name, force=force, num_proc=num_proc) - return - - if dataset is None: - datasets = (repo_path / "data").glob("*") - for dataset_path in datasets: - update_dataset( - dataset_path, dataset_path.name, force=force, num_proc=num_proc - ) - - if dataset is None or dataset == "default": - update_dataset( - repo_path, "default", "README.md", force=force, num_proc=num_proc - ) - update_main_table(repo_path) - - -if __name__ == "__main__": - parser = create_parser() - args = parser.parse_args() - - main( - args.dataset, - logging_level=args.logging_level, - force=args.force, - repo_path=Path(args.repo_path), - num_proc=args.num_proc, - ) diff --git a/test_results.log b/test_results.log deleted file mode 100644 index 152a26d71e24ec59eca167ad27b671b9c4d6bd48..0000000000000000000000000000000000000000 --- a/test_results.log +++ /dev/null @@ -1,13 +0,0 @@ -============================= test session starts ============================== -platform linux -- Python 3.12.3, pytest-8.3.4, pluggy-1.5.0 -rootdir: /work/githubs/tmp/danish-dynaword -configfile: pyproject.toml -collected 124 items - -src/tests/test_dataset_schema.py ....................................... [ 31%] -................................................... [ 72%] -src/tests/test_duplicates.py sssssssssssssssssssssssssssssss [ 97%] -src/tests/test_load.py .. [ 99%] -src/tests/test_unique_ids.py . [100%] - -======================= 93 passed, 31 skipped in 20.62s ======================== diff --git a/src/tests/__init__.py b/tests/__init__.py similarity index 100% rename from src/tests/__init__.py rename to tests/__init__.py diff --git a/tests/test_load.py b/tests/test_load.py new file mode 100644 index 0000000000000000000000000000000000000000..b492c2fe9ee2678e18c34bec632fa91b15b8c2d2 --- /dev/null +++ b/tests/test_load.py @@ -0,0 +1,9 @@ +from datasets import load_dataset +from pathlib import Path + +def test_dataset_loads(): + repo = Path(__file__).parent.parent + name = str(repo.resolve()) # "danish-foundation-models/danish-gigaword-2" + ds = load_dataset(name, split="train", streaming=True) + sample = next(iter(ds)) + assert isinstance(sample, dict) diff --git a/src/tests/test_unique_ids.py b/tests/test_unique_ids.py similarity index 57% rename from src/tests/test_unique_ids.py rename to tests/test_unique_ids.py index 26e11d7b3306ed6a02745782365b3355b7327d21..e94245d5485aa00c9e8c53f4ea6182560c7b90a8 100644 --- a/src/tests/test_unique_ids.py +++ b/tests/test_unique_ids.py @@ -4,9 +4,9 @@ from typing import cast from datasets import Dataset, load_dataset -def test_ensure_ids_are_unique(repo_path: Path): - # repo = Path(__file__).parent.parent - name = str(repo_path.resolve()) +def test_ensure_ids_are_unique(): + repo = Path(__file__).parent.parent + name = str(repo.resolve()) # "danish-foundation-models/danish-gigaword-2" ds = load_dataset(name, split="train") ds = cast(Dataset, ds) assert len(set(ds["id"])) == len(ds) diff --git a/uv.lock b/uv.lock index 6415e6cb2f4d25ddbbe0e36d9f1cc6810e6e5c56..0afd66cfa6b69157ceb314839fe2299296417fec 100644 --- a/uv.lock +++ b/uv.lock @@ -1,11 +1,5 @@ version = 1 -revision = 1 -requires-python = "==3.12.*" -resolution-markers = [ - "sys_platform == 'darwin'", - "platform_machine == 'aarch64' and sys_platform == 'linux'", - "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')", -] +requires-python = ">=3.13" [[package]] name = "aiohappyeyeballs" @@ -18,7 +12,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.11.11" +version = "3.11.10" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -29,23 +23,23 @@ dependencies = [ { name = "propcache" }, { name = "yarl" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/fe/ed/f26db39d29cd3cb2f5a3374304c713fe5ab5a0e4c8ee25a0c45cc6adf844/aiohttp-3.11.11.tar.gz", hash = "sha256:bb49c7f1e6ebf3821a42d81d494f538107610c3a705987f53068546b0e90303e", size = 7669618 } +sdist = { url = "https://files.pythonhosted.org/packages/94/c4/3b5a937b16f6c2a0ada842a9066aad0b7a5708427d4a202a07bf09c67cbb/aiohttp-3.11.10.tar.gz", hash = "sha256:b1fc6b45010a8d0ff9e88f9f2418c6fd408c99c211257334aff41597ebece42e", size = 7668832 } wheels = [ - { url = 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