diff --git a/.gitignore b/.gitignore
index d26f4696971a38220e236d6f35937d9adb48796e..d33f921d34d307107506e57631c324602c53ab46 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,13 +1,3 @@
# Python
__pycache__/*
*.pyc
-
-# cSpell
-cspell.json
-
-# debugfile
-.vscode/launch.json
-
-# tmp files
-tmp.py
-tmp.png
diff --git a/.vscode/settings.json b/.vscode/settings.json
index 3e5844863de172e2be9cd6c5312a66c380cf35bc..3e99ede35449c19657050b5668845a4690f035b3 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -1,6 +1,6 @@
{
"python.testing.pytestArgs": [
- "src/tests"
+ "."
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
deleted file mode 100644
index e790f12d720ade49fb3fb1435fc5eea337c9d687..0000000000000000000000000000000000000000
--- a/CONTRIBUTING.md
+++ /dev/null
@@ -1,78 +0,0 @@
-## Working with dataset locally
-
-A huggingface datasets repository is a GitHub repository like any other. You can simply download it like so:
-
-```bash
-git clone https://huggingface.co/datasets/danish-foundation-models/danish-dynaword
-cd danish-dynaword
-```
-
-You can the work with the dataset locally like so:
-
-```py
-from datasets import load_dataset
-
-name = "../." # instead of "danish-foundation-models/danish-dynaword"
-dataset = load_dataset("../.", split="train")
-# make transformations here
-```
-
-> Note: While it is local Huggingface still uses a cache, therefore you might need to reset it after changes have been made to see that it works correctly. You can do this by deleting the cached files which you can locate using `dataset.cache_files`.
-
-## Installing dependencies
-
-This repo comes with a few dependencies you need to install to make this run. It uses a [makefile](https://opensource.com/article/18/8/what-how-makefile) to run commands and a [uv](https://docs.astral.sh/uv/) for package management. Once you have uv installed you can install the dependencies using:
-
-```bash
-make install
-```
-
-## Running dataset tests
-
-This dataset is special as it comes with a test suite, e.g. testing in the ids are unique and that the format is consistent. You can run the suite using
-
-```bash
-make test
-```
-
-## Submitting a PR
-
-Creating a PR on Huggingface is a bit different from creating one on Github.
-
-1) Go to the community tab on huggingface press *new pull request* and choose *on your machine*. Specify the title of the your PR. Then you can simply:
-
-```bash
-git fetch origin refs/pr/{PR NUMBER}:pr/{PR NUMBER}
-git checkout pr/{PR NUMBER}
-# make your changes here
-# push to hub
-git push origin pr/{PR NUMBER}:refs/pr/{PR NUMBER}
-```
-
-Before you make the PR do be sure to make sure that you have completed the following checklist.
-
-### Checklist
-
-- [ ] I have run the test suite using `make test` and all tests pass
-- [ ] I have added/changed a dataset and have
- - [ ] I have updated descriptive statistics using `make update-descriptive-statistics`
- - [ ] I have bumped the version use `make bump-version`
-
-### Examples of Previous PRs
-To see example PR you can see the following:
-
-- [Restructuring columns in the dataset](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/11)
-- [Adding a new dataset](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/15)
-- Updated [dataset description and metadata](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/20)
-
-## Frequently asked questions
-
-### Do you accept synthetic dataets
-
-Yes we do generally accept synthetic datasets since it will likely be a promising research direction for low- to mid-resource languages.
-However, you should be aware that synthetic dataset will probably require a more detailed examination and description.
-We will for instance examine the quality of the synthetic subset and whether the model used for the creation permits resharing of the synthetic data under permissible licenses.
-
-### Do you accept non-Danish data
-
-Generally this repository is intended for Danish text, however quite broadly defined. For instance, we do accept data containing [code-switching](https://www.google.com/search?client=safari&rls=en&q=code+switching&ie=UTF-8&oe=UTF-8) and historical Danish text.
\ No newline at end of file
diff --git a/README.md b/README.md
index 5610c1d6cbff4ac76b3816a5d2511ee3dd5440c2..272fc2ced112055b79d43c8d4931e57f97fec0ef 100644
--- a/README.md
+++ b/README.md
@@ -5,14 +5,6 @@ configs:
data_files:
- split: train
path: 'data/*/*.parquet'
-- config_name: lexdk
- data_files:
- - split: train
- path: data/lexdk/*.parquet
-- config_name: opensubtitles
- data_files:
- - split: train
- path: data/opensubtitles/*.parquet
- config_name: retsinformationdk
data_files:
- split: train
@@ -89,10 +81,6 @@ configs:
data_files:
- split: train
path: data/wiki/*.parquet
-- config_name: nordjyllandnews
- data_files:
- - split: train
- path: data/nordjyllandnews/*.parquet
- config_name: relig
data_files:
- split: train
@@ -111,125 +99,75 @@ task_categories:
- text-generation
task_ids:
- language-modeling
-pretty_name: Danish Dynaword
+pretty_name: Danish Gigaword
language_bcp47:
- da
- da-bornholm
- da-synnejyl
---
-
-
-
-# 🧨 Danish Dynaword
+# Danish Gigaword 2
-| | |
-| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Language** | dan, dansk, Danish |
-| **License** | Permissible, See the respective dataset |
-| **Models** | For model trained used this data see [danish-foundation-models](https://huggingface.co/danish-foundation-models) |
-| **Contact** | If you have question about this project please create an issue [here](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions) |
+*Version*: 2.0.0
+*License*: See the respective dataset
## Table of Contents
-- [🧨 Danish Dynaword](#-danish-dynaword)
+- [Danish Gigaword 2](#danish-gigaword-2)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Loading the dataset](#loading-the-dataset)
- - [Languages:](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- - [Curation Rationale](#curation-rationale)
- - [Annotations](#annotations)
- [Source Data](#source-data)
- - [Dataset Statistics](#dataset-statistics)
- [Additional Information](#additional-information)
- - [Contributing to the dataset](#contributing-to-the-dataset)
- [Citation Information](#citation-information)
- - [Disclaimer](#disclaimer)
- - [Notice and take down policy](#notice-and-take-down-policy)
## Dataset Description
-
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 588.48K
-- **Number of tokens (Llama 3)**: 1.84B
-- **Average document length (characters)**: 9222.58
-
-
+This is intended as a second version of the Danish Gigaword corpus. It is intended to be continually updated with new data sources. This is currently a work in progress.
### Dataset Summary
-The Danish dynaword is a continually developed collection of Danish free-form text datasets from various domains. It is intended to be continually updated with new data sources. If you would like to contribute a dataset see the [contribute section](#contributing-to-the-dataset)
-
+The Danish Gigaword Corpus contains text spanning several domains and forms.
### Loading the dataset
```py
from datasets import load_dataset
-name = "danish-foundation-models/danish-dynaword"
+name = "danish-foundation-models/danish-gigaword"
ds = load_dataset(name, split = "train")
sample = ds[1] # see "Data Instances" below
-```
-or load it by streaming the data
-```py
+# or load by streaming the data
ds = load_dataset(name, split = "train", streaming=True)
-dataset_iter = iter(ds)
-sample = next(iter(dataset_iter))
-```
-
-You can also load a single subset at a time:
-```py
-ds = load_dataset(name, "adl", split = "train")
+sample = next(iter(ds))
```
-
-As Danish Dynaword is continually expanding and curated you can make sure that you get the same dataset every time by specifying the revision:
-You can also load a single subset at a time:
-```py
-ds = load_dataset(name, revision="{desired revision}")
-```
-
-### Languages:
-This dataset includes the following languages:
-
-- dan-Latn
-- dan-Latn-bornholm
-- dan-Latn-synnejyl
-
-Language is denoted using [BCP-47](https://en.wikipedia.org/wiki/IETF_language_tag), using the langauge code ISO 639-3 and the script code ISO 15924. The last element denote the region variant.
-
## Dataset Structure
-The dataset contains text from different sources which are thoroughly defined in [Source Data](#source-data).
+The dataset contains text from different sources which are thoroughly defined in [Source Data](#source-data). See the [homepage](https://gigaword.dk) or [paper](https://aclanthology.org/2021.nodalida-main.46.pdf) for more information.
### Data Instances
Each entry in the dataset consists of a single text with associated metadata
-
```py
{
- "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]",
- "source": "adl",
- "id": "adl_aakjaer06val",
- "added": "2020-09-14",
- "created": "1700-01-01, 2022-01-01",
- "license": "Creative Commons Legal Code\n\nCC0 1.0 Universal",
- "domain": "Wiki & Books",
- "metadata": {
- "source-pretty": "Archive for Danish Literature"
- }
+ 'text': 'Vimoutiers er en kommune i departementet Orne i Basse-Normandie regionen i det nordvestlige Frankrig.\nCykelløbet Paris-Camembert slutter i Vimoutiers.\nHistorie.\nDen 14. juni 1944, under invasionen i Normandiet blev Vimoutiers bombarderet af allierede styrker. Landsbyen blev ødelagt og 220 civile dræbt.\nPersonligheder.\nPolitikeren Joseph Laniel (1889-1975) var født i Vomoutiers.',
+ 'source': 'wiki',
+ 'id': 'wiki_366127',
+ 'added': '2021-03-28',
+ 'created': '2019-01-01, 2021-01-01',
+ 'metadata':
+ {'domain': 'Wiki & Books',
+ 'license': 'Creative Commons Legal Code\n\nCC0 1.0 Universal', 'source-pretty': 'Wikipedia'
+ }
}
```
@@ -239,14 +177,13 @@ An entry in the dataset consists of the following fields:
- `text`(`str`): The content of the document.
- `source` (`str`): The source of the document (see [Source Data](#source-data)).
-- `id` (`str`): An unique identifier for each document.
+- `id` (`str`): An unique identifer for each document.
- `added` (`str`): An date for when the document was added to this collection.
- `created` (`str`): An date range for when the document was originally created.
-- `license` (`str`): The license of the document. The licenses vary according to the source.
-- `domain` (`str`): The domain of the source
-- `metadata/source-pretty` (`str`): The long form version of the short-form source name
-- `metadata/*`: Potentially additional metadata
-
+- `metadata/license` (`str`): The license of the document. The licenses vary according to the source.
+- `metadata/domain` (`str`): The domain of the source
+- `metadata/source-pretty` (`str`): The longform version of the short-form source name
+
### Data Splits
@@ -254,129 +191,128 @@ The entire corpus is provided in the `train` split.
## Dataset Creation
-### Curation Rationale
-
-These datasets were collected and curated with the intention of making large quantities of Danish text data available. While this was collected with the intention of developing language models it is likely to have multiple other uses such as examining language development and differences across domains.
-
-### Annotations
-
-This data generally contains no annotation besides the metadata attached to each sample such as what domain it belongs to.
-
### Source Data
Below follows a brief overview of the sources in the corpus along with their individual license.
-
-| Source | Description | N. Tokens | License |
-|:--------------------|:-----------------------------------------------------------------------------------------------------------------------------|:------------|:-----------------------|
-| [lexdk] | Permissible use articles from [lex.dk](https://lex.dk) | 5.69M | [CC-BY-SA 4.0] |
-| [opensubtitles] | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) | 271.60M | [CC-0] |
-| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | 516.54M | [Danish Copyright Law] |
-| [ep] | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/) | 100.89M | [CC-0] |
-| [ft] | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall | 114.09M | [CC-0] |
-| [wikisource] | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page) | 5.34M | [CC-0] |
-| [spont] | Conversational samples collected as a part of research projects at Aarhus University | 1.56M | [CC-0] |
-| [tv2r] | Contemporary Danish newswire articles published between 2010 and 2019 | 21.67M | [CC-BY-SA 4.0] |
-| [adl] | Danish literature from 1700-2023 from the Archive for Danish Literature (ADL) | 58.49M | [CC-0] |
-| [hest] | Samples from the Danish debate forum www.heste-nettet.dk | 389.33M | [CC-0] |
-| [skat] | Skat is the Danish tax authority. This dataset contains content from its website skat.dk | 122.12M | [CC-0] |
-| [dannet] | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet | 1.52M | [DanNet 1.0 License] |
-| [retspraksis] | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis) | 57.08M | [CC-0] |
-| [wikibooks] | The Danish Subsection of [Wikibooks](https://www.wikibooks.org) | 6.24M | [CC-0] |
-| [jvj] | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen) | 3.55M | [CC-BY-SA 4.0] |
-| [gutenberg] | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org) | 6.76M | [Gutenberg License] |
-| [botxt] | The Bornholmsk Ordbog Dictionary Projec | 847.97K | [CC-0] |
-| [depbank] | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT) | 185.45K | [CC-BY-SA 4.0] |
-| [naat] | Danish speeches from 1930-2022 | 286.68K | [CC-0] |
-| [synne] | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk | 52.51K | [CC-0] |
-| [wiki] | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page) | 122.00M | [CC-0] |
-| [nordjyllandnews] | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk) | 37.91M | [CC-0] |
-| [relig] | Danish religious text from the 1700-2022 | 1.24M | [CC-0] |
-| **Total** | | 1.84B | |
-
-[lexdk]: data/lexdk/lexdk.md
-[opensubtitles]: data/opensubtitles/opensubtitles.md
-[retsinformationdk]: data/retsinformationdk/retsinformationdk.md
-[ep]: data/ep/ep.md
-[ft]: data/ft/ft.md
-[wikisource]: data/wikisource/wikisource.md
-[spont]: data/spont/spont.md
-[tv2r]: data/tv2r/tv2r.md
-[adl]: data/adl/adl.md
-[hest]: data/hest/hest.md
-[skat]: data/skat/skat.md
-[dannet]: data/dannet/dannet.md
-[retspraksis]: data/retspraksis/retspraksis.md
-[wikibooks]: data/wikibooks/wikibooks.md
-[jvj]: data/jvj/jvj.md
-[gutenberg]: data/gutenberg/gutenberg.md
-[botxt]: data/botxt/botxt.md
-[depbank]: data/depbank/depbank.md
-[naat]: data/naat/naat.md
-[synne]: data/synne/synne.md
-[wiki]: data/wiki/wiki.md
-[nordjyllandnews]: data/nordjyllandnews/nordjyllandnews.md
-[relig]: data/relig/relig.md
-
-
-[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en
-[CC-BY-SA 4.0]: https://creativecommons.org/licenses/by-sa/4.0/deed.en
-[Danish Copyright Law]: ./data/retsinformationdk/retsinformationdk.md#license-information
-[DanNet 1.0 License]: ./data/dannet/dannet.md#license-information
-[Gutenberg License]: ./data/gutenberg/gutenberg.md#license-information
-
-
-
-You can learn more about each dataset by pressing
-
-
-
-
-
-### Dataset Statistics
-
-
-
-![]()
-
+| Source | License |
+| ----------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| adl | Creative Commons Legal Code 1.0 Universal |
+| botxt | Creative Commons Legal Code 1.0 Universal |
+| dannet | [dannet license](https://cst.ku.dk/projekter/dannet/license.txt) |
+| depbank | Attribution-ShareAlike 4.0 International |
+| ep | Creative Commons Legal Code 1.0 Universal |
+| ft | Creative Commons Legal Code 1.0 Universal |
+| gutenberg | [gutenberg license](https://www.gutenberg.org/policy/license.html) |
+| hest | Creative Commons Legal Code 1.0 Universal |
+| jvj | Attribution-ShareAlike 4.0 International |
+| naat | Creative Commons Legal Code 1.0 Universal |
+| relig | Creative Commons Legal Code 1.0 Universal |
+| retsinformationdk | Danish Copyright law at https://www.retsinformation.dk/forms/r0710.aspx?id=164796 states "§ 9. Love, administrative forskrifter, retsafgørelser og lignende offentlige aktstykker er ikke genstand for ophavsret. Stk. 2. Bestemmelsen i stk. 1 gælder ikke for værker, der fremtræder som selvstændige bidrag i de i stk. 1 nævnte aktstykker. Sådanne værker må dog gengives i forbindelse med aktstykket. Retten til videre udnyttelse afhænger af de i øvrigt gældende regler." |
+| retspraksis | Creative Commons Legal Code 1.0 Universal |
+| skat | Creative Commons Legal Code 1.0 Universal |
+| spont | Creative Commons Legal Code 1.0 Universal |
+| synne | Creative Commons Legal Code 1.0 Universal |
+| tv2r | The owner of this content is TV2 Regionerne, Denmark. Creative Commons Attribution 4.0 International |
+| wiki | Creative Commons Legal Code 1.0 Universal |
+| wikibooks | Creative Commons Legal Code 1.0 Universal |
+| wikisource | Creative Commons Legal Code 1.0 Universal |
+
+These sources corresponds to the following top-level domains in the dataset:
+```python
+# mapping from domain to top-level domain
+domain_mapping_dict = {
+ "retsinformationdk": "Legal",
+ "skat": "Legal",
+ "retspraksis": "Legal",
+ "hest": "Social Media",
+ "cc": "Web",
+ "adl": "Wiki & Books",
+ "botxt": "Other",
+ "danavis": "News",
+ "dannet": "dannet",
+ "depbank": "Other",
+ "ep": "Conversation",
+ "ft": "Conversation",
+ "gutenberg": "Wiki & Books",
+ "jvj": "Wiki & Books",
+ "naat": "Conversation",
+ "opensub": "Conversation",
+ "relig": "Wiki & Books",
+ "spont": "Conversation",
+ "synne": "Other",
+ "tv2r": "News",
+ "wiki": "Wiki & Books",
+ "wikibooks": "Wiki & Books",
+ "wikisource": "Wiki & Books",
+ "twfv19": "Social Media", # not present in this version of the dataset
+}
+```
+And the following mapping translates between the short form and the long form of the source name
+```python
+# mapping from domain to its long name format
+longname_mapping_dict = {
+ "retsinformationdk": "retsinformation.dk (Danish legal information)",
+ "skat": "Skat (Danish tax authority)",
+ "retspraksis": "retspraksis (Danish legal information)",
+ "hest": "Hestenettet (Danish debate forum)",
+ "cc": "Common Crawl",
+ "adl": " Archive for Danish Literature",
+ "botxt": "Bornholmsk (Danish dialect)",
+ "danavis": "Danish daily newspapers",
+ "dannet": "DanNet (Danish WordNet)",
+ "depbank": "Danish Dependency Treebank",
+ "ep": "European Parliament",
+ "ft": "Folketinget (Danish Parliament)",
+ "gutenberg": "Gutenberg",
+ "jvj": "Johannes V. Jensen (Danish author/poet)",
+ "naat": "NAAT",
+ "opensub": "Open Subtitles",
+ "relig": "Religious texts",
+ "spont": "Spontaneous speech",
+ "synne": "Synderjysk (Danish dialect)",
+ "tv2r": "TV 2 Radio (Danish news)",
+ "wiki": "Wikipedia",
+ "wikibooks": "Wikibooks",
+ "wikisource": "Wikisource",
+ "twfv19": "Twitter Folketingsvalget 2019 (Danish election tweets)", # not present in this version of the dataset
+}
+```
## Additional Information
-### Contributing to the dataset
-
-We welcome contributions to the dataset such as new sources, better data filtering and so on. To get started on contributing please see [the contribution guidelines](CONTRIBUTING.md)
### Citation Information
-This version expand upon existing dataset sources such as the [Danish gigaword](https://huggingface.co/danish-foundation-models). We recommend that you cite the source of the dataset when using these datasets.
-
-### Disclaimer
-We do not own any of the text from which the data has been extracted.
-We only offer files that we believe we are free to redistribute. If any doubt occurs about the legality of any of our file downloads we will take them off right away after [contacting us](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new).
-
-### Notice and take down policy
-Notice: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please:
-
-- Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted.
-- Clearly identify the copyrighted work claimed to be infringed.
-- Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate the material.
+The original version of Danish Gigawords was created as a part of the following publication.
-You can contact us through [this channel](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new).
+> Derczynski, L., Ciosici, M. R., et al. (2021). The Danish Gigaword Corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021).
-Take down: We will comply to legitimate requests by removing the affected sources from the next release of the corpus.
+```
+@inproceedings{dagw,
+ title = {{The Danish Gigaword Corpus}},
+ author = {Leon Derczynski and Manuel R. Ciosici and Rebekah Baglini and Morten H. Christiansen and Jacob Aarup Dalsgaard and Riccardo Fusaroli and Peter Juel Henrichsen and Rasmus Hvingelby and Andreas Kirkedal and Alex Speed Kjeldsen and Claus Ladefoged and Finn Årup Nielsen and Jens Madsen and Malte Lau Petersen and Jonathan Hvithamar Rystrøm and Daniel Varab},
+ year = 2021,
+ booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics},
+ publisher = {NEALT}
+}
+```
----
-
\ No newline at end of file
+
\ 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/adl.parquet b/data/adl/adl.parquet
index 6449b8aff958fee7f75d8743e8dd99ebee6bc14c..139ec0afee98b3bcccc34e88c1543288ce6a3533 100644
--- a/data/adl/adl.parquet
+++ b/data/adl/adl.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:5af9444529d92c37f35161829c652f8b928f9f1dfb5836065f320d1e1d698818
-size 106401744
+oid sha256:d51c291d1cf6461a1e59dd45dfd63ee39a5c62cd3c2fd05877489d50aaa5115e
+size 106409966
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/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/botxt.parquet b/data/botxt/botxt.parquet
index b418996a3ba191b2ee4a436098c4ecc74e1323dd..b9cc1d74ff5c3e84d9b0bf6a507b6672c8389ac0 100644
--- a/data/botxt/botxt.parquet
+++ b/data/botxt/botxt.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:ec89c1dd57f1987dc6fe059a33a1d16b41b8c87439673a381f9671497f65b017
-size 1344033
+oid sha256:b42642896dfda21b23bb8e8ef5ba65f878ebfa5fec2f6d57aec1e06778c75bbf
+size 1353171
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/dannet/dannet.md b/data/dannet/dannet.md
index bc218f6813055a0a79ba5244e1b8b89b221c2056..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
@@ -11,68 +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
+- **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.
-
-- **Language**: dan, dansk, Danish
-- **Number of samples**: 49.04K
-- **Number of tokens (Llama 3)**: 1.52M
-- **Average document length (characters)**: 90.80
-
+DanNet 1.0 License
+DanNet Release 2.1
+This software and database is being provided to you, the LICENSEE, by University
+of Copenhagen and Society for Danish Language and Literature under the following
+license. By obtaining, using and/or copying this software and database, you
+agree that you have read, understood, and will comply with these terms and
+conditions.
-## Dataset Structure
-An example from the dataset looks as follows.
+Permission to use, copy, modify and distribute this software and database and
+its documentation for any purpose and without fee or royalty is hereby granted,
+provided that you agree to comply with the following copyright notice and
+statements, including the disclaimer, and that the same appear on ALL copies of
+the software, database and documentation, including modifications that you make
+for internal use or for distribution.
+THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND UNIVERSITY OF COPENHAGEN and
+SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO REPRESENTATIONS OR
+WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION,
+UNIVERSITY OF COPENHAGEN AND SOCIETY FOR DANISH LANGUAGE AND LITERATURE MAKE NO
+REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR
+PURPOSE OR THAT THE USE OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL
+NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS.
-
-```py
-{
- "text": "Når fodboldholdet fra 1. division i Ikast spiller hjemmekampe, lyder råbet ud over Ikast Stadion: We[...]",
- "source": "dannet",
- "id": "dannet_46506",
- "added": "2020-09-24",
- "created": "2000-01-01, 2022-01-01",
- "license": "Commercial Use of DanNet\n\nDanNet may be used in commercial applications in accordance with the follo[...]",
- "domain": "dannet",
- "metadata": {
- "source-pretty": "DanNet (Danish WordNet)"
- }
+The names of University of Copenhagen and Society for Danish Language and
+Literature may not be used in advertising or publicity pertaining to
+distribution of the software and/or database. Title to copyright in this
+software, database and any associated documentation shall at all times remain
+with University of Copenhagen and Society for Danish Language and Literature and
+LICENSEE agrees to preserve same.
+
+DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish',
+ 'source-pretty': 'DanNet (Danish WordNet)'
+ }
}
```
-### Data Fields
-
-An entry in the dataset consists of the following fields:
-
-- `text`(`str`): The content of the document.
-- `source` (`str`): The source of the document (see [Source Data](#source-data)).
-- `id` (`str`): An unique identifier for each document.
-- `added` (`str`): An date for when the document was added to this collection.
-- `created` (`str`): An date range for when the document was originally created.
-- `license` (`str`): The license of the document. The licenses vary according to the source.
-- `domain` (`str`): The domain of the source
-- `metadata/source-pretty` (`str`): The long form version of the short-form source name
-- `metadata/*`: Potentially additional metadata
-
-
+## 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
@@ -119,31 +125,3 @@ LICENSEE agrees to preserve same.
DanNet 2.1 Copyright 2009-12 by University of Copenhagen and Society for Danish
-
-
-### 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/dannet/dannet.parquet b/data/dannet/dannet.parquet
index a35f1be156794d558788b143b7c79c4b401df6d2..9ce233c620726906889032c71864424d333725d2 100644
--- a/data/dannet/dannet.parquet
+++ b/data/dannet/dannet.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:b9006617e35f568e7b7e4dacc87c4a490cf0a9170bd4e91488de77e00d3fb38c
-size 4487008
+oid sha256:905c2441a4c242e24d370775e9e035df3c67a7a1d797a615297cb6a1bbf51a96
+size 4743422
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/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/depbank.parquet b/data/depbank/depbank.parquet
index cea86820737334c86f1b190ace5162cbc8c5008e..81d21fe18850262120c1ea9bcc1f8a40ac6fc5ef 100644
--- a/data/depbank/depbank.parquet
+++ b/data/depbank/depbank.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:3d4172e2ab4d7256ca5b76ad45b4d7326616e6679642056fdef20c5e3a8b1c62
-size 392216
+oid sha256:863aac5735bee6995b665864ea355b488e35bb2cca696ea340d8febc653b8886
+size 394917
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/ep.parquet b/data/ep/ep.parquet
index dcc4825fd48c92b781305627c3b20699c2e761eb..86d6276a48cc780f2ab45eac7452c75f6022a73b 100644
--- a/data/ep/ep.parquet
+++ b/data/ep/ep.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:f76e86335bd765b3ff3cf5ccdfe8f220e39349a0344fdf2b9918adbdd96aedeb
-size 170796385
+oid sha256:85c8eb6954522c757ee3e410f7f277a74ecedd8e7507ef00a698a654dc8bea20
+size 171150568
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/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/ft.parquet b/data/ft/ft.parquet
index 18a2aa70d3db9b5ddd0feccd445590d46e13a441..b181d9e13522e4f4262e11f6fbabf3290c106f7e 100644
--- a/data/ft/ft.parquet
+++ b/data/ft/ft.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:e46276c575c7d9ddc30f44111206d250cb02473c992d0087bf0a9a5f4266da18
-size 181926375
+oid sha256:31775c6e84a1542897641712e39d4c6cde2aa69673d7875c6a39f3148c08e0fb
+size 182049520
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. If you do not agree to abide by all
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+If you paid a fee for obtaining a copy of or access to a Project
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+1.B. "Project Gutenberg" is a registered trademark. It may only be
+used on or associated in any way with an electronic work by people who
+agree to be bound by the terms of this agreement. There are a few
+things that you can do with most Project Gutenberg-tm electronic works
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+paragraph 1.C below. There are a lot of things you can do with Project
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+or PGLAF), owns a compilation copyright in the collection of Project
+Gutenberg-tm electronic works. Nearly all the individual works in the
+collection are in the public domain in the United States. If an
+individual work is in the public domain in the United States and you are
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+copying, distributing, performing, displaying or creating derivative
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+are removed. Of course, we hope that you will support the Project
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+the work. You can easily comply with the terms of this agreement by
+keeping this work in the same format with its attached full Project
+Gutenberg-tm License when you share it without charge with others.
-## Dataset Structure
-An example from the dataset looks as follows.
+1.D. The copyright laws of the place where you are located also govern
+what you can do with this work. Copyright laws in most countries are in
+a constant state of change. If you are outside the United States, check
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+1.E. Unless you have removed all references to Project Gutenberg:
-
-```py
-{
- "text": "Afskriverens bemærkninger: Åbenlyse trykfejl er rettet\ni denne e-bog, men forfatterens stavning er f[...]",
- "source": "gutenberg",
- "id": "gutenberg_43899",
- "added": "2020-09-12",
- "created": "1700-01-01, 2022-01-01",
- "license": "*** START: FULL LICENSE ***\n\nTHE FULL PROJECT GUTENBERG LICENSE\nPLEASE READ THIS BEFORE YOU DISTRIBU[...]",
- "domain": "Wiki & Books",
- "metadata": {
- "source-pretty": "Gutenberg"
- }
-}
-```
+1.E.1. The following sentence, with active links to, or other immediate
+access to, the full Project Gutenberg-tm License must appear prominently
+whenever any copy of a Project Gutenberg-tm work (any work on which the
+phrase "Project Gutenberg" appears, or with which the phrase "Project
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-### Data Fields
+This eBook is for the use of anyone anywhere at no cost and with
+almost no restrictions whatsoever. You may copy it, give it away or
+re-use it under the terms of the Project Gutenberg License included
+with this eBook or online at www.gutenberg.org
-An entry in the dataset consists of the following fields:
+1.E.2. If an individual Project Gutenberg-tm electronic work is derived
+from the public domain (does not contain a notice indicating that it is
+posted with permission of the copyright holder), the work can be copied
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+through 1.E.7 or obtain permission for the use of the work and the
+Project Gutenberg-tm trademark as set forth in paragraphs 1.E.8 or
+1.E.9.
-- `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
-
+1.E.3. If an individual Project Gutenberg-tm electronic work is posted
+with the permission of the copyright holder, your use and distribution
+must comply with both paragraphs 1.E.1 through 1.E.7 and any additional
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+Archive Foundation, how to help produce our new eBooks, and how to
+subscribe to our email newsletter to hear about new eBooks.
+',
+ 'source-pretty': 'Gutenberg'
+ }
+}
+```
+
+## Data Fields
+
+- **id**: source-specific identifier.
+- **text**: textual content of the document.
+- **source**: source of the data.
+- **added**: timestamp ai2 acquired this data.
+- **created**": timestamp when original document was created (best-guess if not available)
+- **metadata**: source-specific metadata.
+
+## License Information
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/gutenberg.parquet b/data/gutenberg/gutenberg.parquet
index 6a0102ae2793d0ca0b57a901f0eebdd0f90bbe4c..e2a16e9856fd2d6879045f22041a0eff1e13277b 100644
--- a/data/gutenberg/gutenberg.parquet
+++ b/data/gutenberg/gutenberg.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:1e8364195e60b64e285d0c1b8c4b6ae0da7a1b6165de77bb4fc4049c317b445c
-size 12342492
+oid sha256:973df5121d3da73a5915f6dd1da0290ffbaece92b2c7c4dec562155974c0076f
+size 12361984
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/hest.parquet b/data/hest/hest.parquet
index 43f8c480c939e074d9f4d3f93b1c54d903f2e419..7bfdd4ec898b9598f7d4f3140877fbe4b0f4d824 100644
--- a/data/hest/hest.parquet
+++ b/data/hest/hest.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:258c9263b68b8d8573eab1eaa8221c557e9259aa1a222911fdff41f5cbbda66b
-size 747678214
+oid sha256:9b85d658074ebec3eb95da8f8e522d83707b646b5f3b8b706279496eec3b31c3
+size 748670544
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/jvj/jvj.parquet b/data/jvj/jvj.parquet
index 61f2681937a4152af252df830449d304bd9d1c4d..edc850f3d97ea130c3b62dadc1704bc1d6e8fb11 100644
--- a/data/jvj/jvj.parquet
+++ b/data/jvj/jvj.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:5706ac4ddb20ce41ac198d3a603c80a7ab76e8a84d028bf145934a704401e17d
-size 6824089
+oid sha256:7a524aafe8fe1ba86bc09c091b10aacf55e558124fef59e68f60bed03816636a
+size 6829395
diff --git a/data/lexdk/create.py b/data/lexdk/create.py
deleted file mode 100644
index 9bca67eaa6c9f76797c01ca0c76fd13a1e631681..0000000000000000000000000000000000000000
--- a/data/lexdk/create.py
+++ /dev/null
@@ -1,78 +0,0 @@
-"""download lexdk from alexandrainst/lexdk-open"""
-
-from datetime import datetime
-from pathlib import Path
-from typing import cast
-
-import pandas as pd
-from datasets import Dataset, load_dataset
-
-column_order = [
- "text",
- "source",
- "id",
- "added",
- "created",
- "license",
- "domain",
- "metadata",
-]
-
-
-def convert_sample(example: dict) -> dict:
- # from sample:
- # {
- # "url": "https://denstoredanske.lex.dk/Kullmanns_M%C3%B8lle",
- # "title": "Kullmanns Mølle",
- # "clarification": "",
- # "authors": ["https://brugere.lex.dk/6929"],
- # "date": "2021-01-20T13:23:20+01:00",
- # "license": "fri anvendelse",
- # "text": "Kullmanns Mølle er en mølle i Gudhjem, opkaldt efter Matts Kullmann, der byggede møllen i 1893 til sin søn, Christian Kullmann, se Gudhjem Mølle.",
- # }
- date = datetime.fromisoformat(example["date"])
- text = f"{example["title"]}\n\npubliceret: {date}\n{example["text"]}"
-
- new_example = dict(
- text_new=text,
- id=example["url"],
- source="lexdk",
- domain="Conversation",
- license="cc-by-sa-4.0",
- added="2025-01-04",
- created=f"{date.date()}, {date.date()}",
- metadata={"source-pretty": "Lex.dk"},
- )
-
- return new_example
-
-
-def main():
- ds = load_dataset("alexandrainst/lexdk-open", split="train")
- ds = cast(Dataset, ds)
-
- dates = [datetime.fromisoformat(date).date() for date in ds["date"]]
- print(str(min(dates)), ",", str(max(dates))) # 2009-01-28, 2023-09-05
-
- assert len(set(ds["url"])) == len(ds)
-
- ds = ds.map(convert_sample, num_proc=4)
- ds = ds.select_columns(column_order[1:] + ["text_new"])
- ds = ds.rename_columns({"text_new": "text"})
- # ensure order
- ds = ds.select_columns(column_order)
-
- df = ds.to_pandas()
- df = cast(pd.DataFrame, df)
- dedup_df = df.drop_duplicates(keep="first", subset=["text"])
- print("N. duplicates: ", df.shape[0] - dedup_df.shape[0]) # 0
-
- ds = ds.select(dedup_df.index)
- assert len(set(ds["text"])) == len(ds)
-
- save_path = Path(__file__).parent / "lexdk.parquet"
- ds.to_parquet(save_path)
-
-
-if __name__ == "__main__":
- main()
diff --git a/data/lexdk/descriptive_stats.json b/data/lexdk/descriptive_stats.json
deleted file mode 100644
index d1b4dd1125a7e7e4978d3b56fe9165881ec96354..0000000000000000000000000000000000000000
--- a/data/lexdk/descriptive_stats.json
+++ /dev/null
@@ -1 +0,0 @@
-{"number_of_samples": 11887, "average_document_length": 1405.6435601918063, "number_of_tokens": 5688613, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}
\ No newline at end of file
diff --git a/data/lexdk/images/dist_document_length.png b/data/lexdk/images/dist_document_length.png
deleted file mode 100644
index 3455955e1db58a7707b0aed5849445e9f19fb6d0..0000000000000000000000000000000000000000
--- a/data/lexdk/images/dist_document_length.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9aead97c97d52f9b4b9fced8eea7827d764a6a91f2af23ddc4e90607d23c0076
-size 551893
diff --git a/data/lexdk/lexdk.md b/data/lexdk/lexdk.md
deleted file mode 100644
index b53eeef027a4d443285d344e0d8f977a4bfcf51c..0000000000000000000000000000000000000000
--- a/data/lexdk/lexdk.md
+++ /dev/null
@@ -1,85 +0,0 @@
----
-pretty_name: OpenSubtitles
-language:
- - da
-license: cc-by-sa-4.0
-license_name: CC-BY-SA 4.0
-task_categories:
- - text-generation
- - fill-mask
-task_ids:
- - language-modeling
-source_datasets:
- - alexandrainst/lexdk-open
----
-
-# Dataset Card for OpenSubtitles
-
-
-Permissible use articles from [lex.dk](https://lex.dk).
-
-
-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
-
-
-
-![]()
-
-
-
-## 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/lexdk/lexdk.parquet b/data/lexdk/lexdk.parquet
deleted file mode 100644
index 0e7d9b58d670f0aa9ad23cac42540ab02a5b7c13..0000000000000000000000000000000000000000
--- a/data/lexdk/lexdk.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5c4779881f575d6f612c8603ed4896f10ebc7293c59637fa8a0773ee4545fce3
-size 10007743
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/naat/naat.parquet b/data/naat/naat.parquet
index 4131b749c675f19c558c821a7b82941fb5bcbe68..677610717c76f2bec2aca9867a39667e01eaff7d 100644
--- a/data/naat/naat.parquet
+++ b/data/naat/naat.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:fc7c4b8640c72a20abba667d9630fe8d234266a7d42f50a9a20be28b1e0ecff6
-size 544392
+oid sha256:6958784a0c4039e9357dee0dedc6bd010e7dd3573d2d9a4db45ce5e4a6608feb
+size 545253
diff --git a/data/nordjyllandnews/create.py b/data/nordjyllandnews/create.py
deleted file mode 100644
index 72b467092c00ac23119b481152fc5699b6288c20..0000000000000000000000000000000000000000
--- a/data/nordjyllandnews/create.py
+++ /dev/null
@@ -1,51 +0,0 @@
-"""
-This scripts download nordjylland news and converts it to the format of danish dynaword
-"""
-
-import random
-from pathlib import Path
-from typing import cast
-
-from datasets import Dataset, load_dataset
-
-schemas = [
- "{summary}\n\n{text}",
- "{text}\n\nOpsummering:\n{summary}",
- "{text}\n\nReferat:\n{summary}",
- "Lav et referat af nedenstående tekst:\n\nTekst:\n{text}\n\nReferat:\n{summary}",
-]
-source = "nordjyllandnews"
-
-
-def convert_sample(example):
- schema = random.choice(schemas)
- new_example = dict(
- text_new=schema.format(text=example["text"], summary=example["summary"]),
- source=source,
- domain="News",
- license="Creative Commons Legal Code\n\nCC0 1.0 Universal",
- added="2024-12-16",
- created="2000-01-01, 2024-01-01", # best guess
- metadata={"source-pretty": "Nordjylland News"},
- )
-
- return new_example
-
-
-def main():
- ds = load_dataset("alexandrainst/nordjylland-news-summarization", split="train")
- ds = cast(Dataset, ds)
-
- ds = ds.map(convert_sample, remove_columns=ds.column_names)
- ds = ds.rename_columns({"text_new": "text"})
- ds = ds.add_column("id", [f"{source}_{i}" for i in range(len(ds))]) # type: ignore
- ds = ds.select_columns(
- ["text", "source", "id", "added", "created", "license", "domain", "metadata"]
- )
-
- save_path = Path(__file__).parent / f"{source}.parquet"
- ds.to_parquet(save_path)
-
-
-if __name__ == "__main__":
- main()
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
deleted file mode 100644
index 5d9461b43960dfcc32b78113192f5ec0565c7f58..0000000000000000000000000000000000000000
--- a/data/nordjyllandnews/nordjyllandnews.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-pretty_name: Nordjylland News
-language:
- - da
-license: cc0-1.0
-license_name: CC-0
-size_categories:
- - 10-100k
-task_categories:
- - text-generation
- - 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.
-
-## 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
-
-
-## Opportunities for Improvement
-
-An updated version of the this data could be fetched from their [API](https://developer.bazo.dk/#876ab6f9-e057-43e3-897a-1563de34397e).
-
-# 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/nordjyllandnews/nordjyllandnews.parquet b/data/nordjyllandnews/nordjyllandnews.parquet
deleted file mode 100644
index 5d86ca415f3340b761e53e296fce7426a917c099..0000000000000000000000000000000000000000
--- a/data/nordjyllandnews/nordjyllandnews.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c434925b6234607b63c4e7ab6c9a1e1b75e49c7623e03dea3bdbc6ba579f7910
-size 71191536
diff --git a/data/opensubtitles/create.py b/data/opensubtitles/create.py
deleted file mode 100644
index 237c820f9515cb04f2b00410d0cf7ae0c60562ed..0000000000000000000000000000000000000000
--- a/data/opensubtitles/create.py
+++ /dev/null
@@ -1,123 +0,0 @@
-from pathlib import Path
-from typing import cast
-
-import pandas as pd
-import spacy
-from datasets import Dataset, load_dataset
-
-# KCE: mail from Leon
-sample_to_redact = {
- # Der kommer en dag
- "opensub_6726481",
- "opensub_6732371",
- # Kollektivet
- "opensub_6645818",
- # Flaskepost fra P
- "opensub_6666922",
- "opensub_6720216",
- "opensub_6958711",
- # Fasandræberne
- "opensub_6036947",
- "opensub_6008622",
- # En du elsker
- "opensub_5828376",
- "opensub_5828378",
- # En chance til
- "opensub_6177523",
- # Lev stærkt
- "opensub_6467655",
- # Nymphomaniac
- "opensub_5604391",
- "opensub_5748340",
- "opensub_5748494",
- "opensub_5629516",
- # Kvinden i buret
- "opensub_5636248",
- "opensub_5514603",
- "opensub_5504932",
- # Den skaldede frisør
- "opensub_5084880",
- "opensub_5031826",
- # Jagten
- "opensub_6929419",
- "opensub_4885548",
- # Melancholia
- "opensub_4421330",
- "opensub_4406991",
- "opensub_4418817",
- # Ambassadøren
- "opensub_4557721",
- # Antichrist
- "opensub_5511502",
- "opensub_3938655",
- "opensub_3636940",
- "opensub_3564521",
- "opensub_3562215",
- # En kongelig affære
- "opensub_4725493",
- "opensub_4725160",
- "opensub_4725159",
- "opensub_4916871",
- "opensub_5186746",
- # Brødre
- "opensub_233943",
- "opensub_87475",
-}
-
-column_order = [
- "text",
- "source",
- "id",
- "added",
- "created",
- "license",
- "domain",
- "metadata",
-]
-
-
-def convert_sample(example: dict) -> dict:
- text = example["text"]
- if example["doc_id"] in sample_to_redact:
- nlp = spacy.blank("da")
- doc = nlp(text)
- text = doc[:200].text # first 200 words
-
- new_example = dict(
- text_new=text,
- id=example["doc_id"],
- source="opensubtitles",
- domain="Conversation",
- license="Creative Commons Legal Code\n\nCC0 1.0 Universal",
- added="2025-01-02",
- created="1920-01-01, 2018-01-01", # assuming v2018
- metadata={"source-pretty": "OpenSubtitles"},
- )
-
- return new_example
-
-
-def main():
- ds = load_dataset("DDSC/partial-danish-gigaword-no-twitter", split="train")
- ds = cast(Dataset, ds)
- ds = ds.filter(lambda x: x["source"] == "opensub", num_proc=4)
- ds = ds.map(convert_sample, num_proc=4)
- ds = ds.select_columns(column_order[1:] + ["text_new"])
- ds = ds.rename_columns({"text_new": "text"})
- # ensure order
- ds = ds.select_columns(column_order)
-
- df = ds.to_pandas()
- df = cast(pd.DataFrame, df)
- dedup_df = df.drop_duplicates(keep="first", subset=["text"])
- print("N. duplicates: ", df.shape[0] - dedup_df.shape[0]) # 2422
-
- ds = ds.select(dedup_df.index)
- assert len(set(ds["text"])) == len(ds)
-
- save_path = Path(__file__).parent / "opensubtitles.parquet"
- ds.to_parquet(save_path)
-
-
-if __name__ == "__main__":
- main()
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/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/relig/relig.parquet b/data/relig/relig.parquet
index 2bce3a37f4836e895fe9d07448b7d76fb921fa4e..5a7fb1dfd7df3b1bc0ed0e63e5fe18552106cfed 100644
--- a/data/relig/relig.parquet
+++ b/data/relig/relig.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:d7c636a36f5eb1376ffebf2f1f83b82ed3d3860ef1f87b55c7f8ccf894fbc844
-size 2001056
+oid sha256:ba59db9efa6756fd6306380c39e9f25b50c99ddb6b7c0c2391e417d95d0af6da
+size 2003050
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/retsinformationdk/retsinformationdk.parquet b/data/retsinformationdk/retsinformationdk.parquet
index 78e5f6ed2738c325edb9a91338259d8119a02a23..72d4d1a128bd80e4fa5e4c81da0c070741f0d314 100644
--- a/data/retsinformationdk/retsinformationdk.parquet
+++ b/data/retsinformationdk/retsinformationdk.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:9b2dfb08646a54df30fb1e2be1bbcd50a30ba02378ef35014345ae25959f2241
-size 648816450
+oid sha256:69df3e71d482c746854535710ffb57c9ba3c9ac633931222e8be84d0e67cc22c
+size 651256719
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/retspraksis/retspraksis.parquet b/data/retspraksis/retspraksis.parquet
index 4994ba0926efe7a9f35ba07f0f83c8db6f10ebb6..2420329e171f8f9c654d6679ad614c6a455d287e 100644
--- a/data/retspraksis/retspraksis.parquet
+++ b/data/retspraksis/retspraksis.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:1f37fcd08d69abbf4329033d15b57efd3ce83dd9c6d55a339529888014fae827
-size 87201467
+oid sha256:28f86c894204d6c1348a5fdfae7b69d1d355ba311e42d70fd669d52138b95d3a
+size 87674092
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/skat/skat.parquet b/data/skat/skat.parquet
index 5f15ebdeb503129caeb6d0767a6206ada8091042..9dea70ee9b8778ea615cfe45cadbb09857ca98b6 100644
--- a/data/skat/skat.parquet
+++ b/data/skat/skat.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:e4ced905b6b9629b2c7c62d94eda1413de90603f7f60c762837aee5fd182896e
-size 164723225
+oid sha256:5f87f38f90553725c889080b3def8e24dadd3b2eaee28b43bae2a19493cf2143
+size 165069920
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/spont/spont.parquet b/data/spont/spont.parquet
index c82896ee334a4e212cb8854c2f8705e953292c8e..5825430938423600e6f901d7316bcd901e4cf08c 100644
--- a/data/spont/spont.parquet
+++ b/data/spont/spont.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:149bb5b9f18a2883995bfd3584cee88079a8ececb4c5b6c51f778aa34092bcf6
-size 1805872
+oid sha256:0ac515b1dedc78fb9123bffbab2cf3c0fe1e126a070ad342d7d0c707096e838b
+size 1814921
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/synne/synne.parquet b/data/synne/synne.parquet
index e1ce55dd7edb2e00970cc85805c1abe4c2a112fb..42260ffe3e7a2731adf462ef84d5e071f8469812 100644
--- a/data/synne/synne.parquet
+++ b/data/synne/synne.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:96a43b9bca159540a0b27c9a5488192cfb29c02e6e147f82e00a8a3204e9b9ce
-size 74311
+oid sha256:701bf010bca88dd4722ffa72404b91e24703bd9552003371771bf1823dc58138
+size 77042
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/tv2r/tv2r.parquet b/data/tv2r/tv2r.parquet
index 172b8403ec17e1bfbd0db8135e3a357be30d2deb..e1da3a3df31c9917a2308695576ac54883137230 100644
--- a/data/tv2r/tv2r.parquet
+++ b/data/tv2r/tv2r.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:ad0c74fae026560fec279e0a6fd7821bd1af18c864f53925cbe9fefd254f64d0
-size 40341900
+oid sha256:e5cc87b9de1c11ef580d939d1d877b5553d3c75aa33d0f2e280986b8787900a5
+size 40686259
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/wiki/wiki.parquet b/data/wiki/wiki.parquet
index 8e828acedd27da36ea9e6083772d66241fae879a..3950cd4f3efdcf7dbb0c4c16354430fff523feba 100644
--- a/data/wiki/wiki.parquet
+++ b/data/wiki/wiki.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:995d81c1316c5b2b8852c9c3a9404e0bd2de00ee0e79b86197b1fe20b6999469
-size 241828019
+oid sha256:41bb02c5b10290746b00750db69c565bfe25fda2529efcc603f108d820dc6c13
+size 242917206
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/wikibooks/wikibooks.parquet b/data/wikibooks/wikibooks.parquet
index 147c20c398fbda2da473ac1ec2f048f7b3c5607b..9e8a65c8a9ac584663602c5fa50bad1ef80c353d 100644
--- a/data/wikibooks/wikibooks.parquet
+++ b/data/wikibooks/wikibooks.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:478e98d6450700d5248be68bb9cc8739ec4395071a43ce71f5f69bdc3e15cac0
-size 11262962
+oid sha256:5984554e9c048e06cd156903a345178dc18a95572e3b12fb4c6e6266bcc87fa5
+size 11282733
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/data/wikisource/wikisource.parquet b/data/wikisource/wikisource.parquet
index a15453bf30503c41c153e897544c0160b572170b..ac980783fb7d7b43b9859dae342d67838ad949dc 100644
--- a/data/wikisource/wikisource.parquet
+++ b/data/wikisource/wikisource.parquet
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:c9c42ebd7754dd6cdda5259b8d927b581b463f998d3fb13aeeb755015b870cc4
-size 9480324
+oid sha256:a4ee7ec0bb3147f06617c94a8951055a5a806c7917de229d6b2ec2df9c4c0b73
+size 9488335
diff --git a/descriptive_stats.json b/descriptive_stats.json
deleted file mode 100644
index b2b9dec165d08a460672b05ef902d25438998cb4..0000000000000000000000000000000000000000
--- a/descriptive_stats.json
+++ /dev/null
@@ -1 +0,0 @@
-{"number_of_samples": 588476, "average_document_length": 9222.579343932463, "number_of_tokens": 1844994816, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}
\ 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 5deed536fd9d0598fa0d56e1ea142c7d472ee7fb..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 99ca82163dbf9e7da750166f5efe75728bb29339..0000000000000000000000000000000000000000
--- a/images/dist_document_length.png
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7c9b354fb60bece8a313ee47318a73c6c4894251028fff47dfbb281dac8bb7bf
-size 1344016
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/paper.md b/paper/paper.md
deleted file mode 100644
index 5257c08ad9a4bd1f38e8d833eab2a9a6aed426a4..0000000000000000000000000000000000000000
--- a/paper/paper.md
+++ /dev/null
@@ -1,138 +0,0 @@
-# Danish DynaWord: Moving from one-shot dataset Continously developed datasets
-
-Authors:
-
-This list of authors to be invited for co-authorship
-
-CHC
-- Kenneth Enevoldsen
-- Jan Kostkan
-- Per
-- Kristoffer Nielbo
-- Marton
-- Martin (gode CI tanker)
-
-Alexandra:
-- Dan Nielsen
-- Rasmus
-- Peter
-- Kristian
-- Torben
-
-DFM
-- Bolette Pedersen (eller nogen fra hendes gruppe)
-- Desmond
-- Peter
-
-Danish Royal Library? Other organization that are important to include?
-Leon?
-
-
-# Abstract
-
-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
-
-Current datasets
-While creating a current
-
-Current methods for dataset creation tacke only a small [@joshiStateFateLinguistic2020]
-In the project we specifically choose to focus on the low to mid-resource language Danish (dan). We see two reasons for doing this:
-
-- The dynaword approach is most likely to be beneficial for low to mid resourced languages (class 2-4; @joshiStateFateLinguistic2020) which have contributors able and willing to contribute and where the domain high resource languages (class 5; @joshiStateFateLinguistic2020) could likely sustain multiple dynaword project targeting specific domains.
-- not only for Danish b
-
-While it is in theory possible to open a PR on existing dataset, this practice is often rare and instead we often see improvements on the existing dataset published (see e.g. [@pascal_alie_kenneth_et_paper], [@that_guy_that_added_langauge_tag_to_a_dataset]). These derivative works rarely get as many downloads as the original
-
-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.
-
-## Related work
-
-
-### Existing approaches in Dataset development
-
-Large project like OSCAR [@OSCAR], HPLT [@hplt], and fineweb [@fineweb] release iterative version of dataset derived from commoncrawl [@commoncrawl].
-These approaches make it hard to contributors to join contribute and siloes dataset development in a few institutions. Furthermore the focus
-commoncrawl ignores other valuable resources such as public APIs and comes with a slew of ethical and legal concerns [@missing] which effect only the usefulness of the datasets but also the models derived from these.
-While these resources such as individual dataset derived from APIs would be extensive to collect for individual groups as they rarely offer enough data to be worth the time opening up this approach to a community makes these approaches more viable.
-
-
-Opening up development pipeline also increases openness around the dataset collection. ADD SOMETHING on inclusion here.
-
-Read up on fineweb!!! (I assume they do some CI)
-
-Other successful open-source project: dependency treebank project [@dep_treebank], ...
-
-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
-
-Lacunae of danish [@cite]
-Danish gigaword [@dagw]
-Swedish gigaword? [@swedish]
-NCC [@ncc_kummervold]
-
-
-Existing benchmark covering Scandinavian languages such as ScandEval [@scandeval; @scandeval2] and SEB [@seb] argue that reasonable to evalaute on the
-
-# Methods
-
-## Continuous Integration
-
-Our approach for continuous integration, how to submit, what we test for.
-
-
-# Results
-
-## Dataset collection
-
-Current collection.
-
-| Source | Date | Domain | License | Size |
-| --------------- | ---------- | -------------- | ------- | ---- |
-| **Legal** | | | | |
-| Retsinformation | date range | Legal, Written | | 188M |
-| ... | | | | |
-| **Total** | | | | |
-
-
-For a description of each dataset we refer to the public repository.
-
-
-# Conclusion
-
-## Dataset delivery
-
-# Limitation
-
-- Is danish too limited: Should we consider multilingual sources, scandinavian, germanic, English
-
-- Size:
- - The size is currently limited if the size grows to large developing becomes problematic
- - This is still way smaller than what could be extracted from CC
-
-- Only Danish: While developing CI for datasets is by no means new [@missing] doing so for open pre-training datasets open a collaborative fashion has
-not been tested on a larger scale. Once the approach has been validated we plan to host a collaboration along with huggingface to develop these dataset sources.
-
-- Huggingface datasets as a development platform for datasets: Througout this work it was clear to many of the developers that the ease of contributing minor changes (e.g. filtering out a few bad examples) was both hard to create a PRs for and hard to review often requiring the reviewer to simply trust that the user did what was stated in the commit message. While previous projects have tackled this issue using human readable formats [@dep_treebank], due to the scope of the dataset this would quickly become inefficient.
-This lack of clarity increased the likelihood of dataset attacks such as dataset poisoning [@missing]. We expect to see both interface development and software development to detect and prevent such attacks.
-
-- Machine generated content within training data: Not
-
-
-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.
-
diff --git a/paper/references.bib b/paper/references.bib
deleted file mode 100644
index 2c1796659052fc7bfc099780f1c5e4f699badea8..0000000000000000000000000000000000000000
--- a/paper/references.bib
+++ /dev/null
@@ -1,25 +0,0 @@
-
-@article{joshiStateFateLinguistic2021,
- title = {The {State} and {Fate} of {Linguistic} {Diversity} and {Inclusion} in the {NLP} {World}},
- url = {http://arxiv.org/abs/2004.09095},
- abstract = {Language technologies contribute to promoting multilingualism and linguistic diversity around the world. However, only a very small number of the over 7000 languages of the world are represented in the rapidly evolving language technologies and applications. In this paper we look at the relation between the types of languages, resources, and their representation in NLP conferences to understand the trajectory that different languages have followed over time. Our quantitative investigation underlines the disparity between languages, especially in terms of their resources, and calls into question the "language agnostic" status of current models and systems. Through this paper, we attempt to convince the ACL community to prioritise the resolution of the predicaments highlighted here, so that no language is left behind.},
- urldate = {2021-03-20},
- journal = {arXiv:2004.09095 [cs]},
- author = {Joshi, Pratik and Santy, Sebastin and Budhiraja, Amar and Bali, Kalika and Choudhury, Monojit},
- month = jan,
- year = {2021},
- note = {arXiv: 2004.09095},
- keywords = {Computer Science - Computation and Language},
-}
-
-@inproceedings{dagw,
- title = {The {{Danish Gigaword}} Corpus},
- booktitle = {Proceedings of the 23rd Nordic Conference on Computational Linguistics ({{NoDaLiDa}})},
- author = {{Str{\o}mberg-Derczynski}, Leon and Ciosici, Manuel and Baglini, Rebekah and Christiansen, Morten H. and Dalsgaard, Jacob Aarup and Fusaroli, Riccardo and Henrichsen, Peter Juel and Hvingelby, Rasmus and Kirkedal, Andreas and Kjeldsen, Alex Speed and Ladefoged, Claus and Nielsen, Finn Aarup and Madsen, Jens and Petersen, Malte Lau and Rystr{\o}m, Jonathan Hvithamar and Varab, Daniel},
- year = {05 31--2 06 2021},
- pages = {413--421},
- publisher = {Link{\"o}ping University Electronic Press, Sweden},
- address = {Reykjavik, Iceland (Online)},
- abstract = {Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a focused effort to provide a diverse and freely-available one billion word corpus of Danish text. The Danish Gigaword corpus covers a wide array of time periods, domains, speakers' socio-economic status, and Danish dialects.},
- file = {/Users/au561649/Zotero/storage/9B3GVP6D/Derczynski et al. - The Danish Gigaword Corpus.pdf}
-}
diff --git a/pyproject.toml b/pyproject.toml
index 3f5f3271328030b2023cbdeb96e77647ab6a0853..27fe2da8df7e2dd78f12c91859c56582c494c9fd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,25 +1,16 @@
[project]
-name = "danish-dynaword"
-version = "1.0.5"
-description = "project code for the danish dynaword project"
+name = "danish-gigaword-2"
+version = "1.0.1"
+description = "project code for the danish gigaword 2 project"
readme = "README.md"
-requires-python = ">=3.12,<3.13"
+requires-python = ">=3.13"
dependencies = [
- # for commands
- "datasets>=3.0.0", # loading and validating datasets
- "gitpython>=3.1.43", # interacting with git
- "numpy>=2.2.0",
- "pydantic>=2.10.4", # validating schemas
- "tabulate>=0.9.0", # creating md table
- "tomlkit>=0.13.2", # reading toml
- "transformers>=4.47.1", # tokenization
- # create.py
- "spacy>=3.8.3", # only need for opensubtitles/create.py
- # development
+ "datasets>=3.0.0",
"ipykernel>=6.29.5",
- # test
+ "matplotlib>=3.10.0",
+ "numpy>=2.2.0",
+ "plotnine>=0.14.3",
"pytest>=8.3.4",
- # formatting
- "ruff>=0.8.3",
- "plotnine>=0.14.5",
+ "seaborn>=0.13.2",
+ "toml>=0.10.2",
]
diff --git a/scripts/bump_version.py b/scripts/bump_version.py
new file mode 100644
index 0000000000000000000000000000000000000000..45d9d80da61916b3a893427e2b8982c0a2fc422c
--- /dev/null
+++ b/scripts/bump_version.py
@@ -0,0 +1,16 @@
+from packaging.version import Version
+from pathlib import Path
+
+import toml
+
+c_file = Path(__file__)
+pyproject = c_file.parent.parent / "pyproject.toml"
+
+
+with pyproject.open("r") as f:
+ data = toml.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:
+ toml.dump(data, f)
\ No newline at end of file
diff --git a/scripts/load_dataset.py b/scripts/load_dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..976ee5236560bcfbe57ed81929b529c3233cf227
--- /dev/null
+++ b/scripts/load_dataset.py
@@ -0,0 +1,6 @@
+from datasets import load_dataset
+
+name = "../." # "danish-foundation-models/danish-gigaword"
+ds = load_dataset("../.", split = "train")
+
+ds
\ No newline at end of file
diff --git a/src/bump_version.py b/src/bump_version.py
deleted file mode 100644
index 93e70e8a92344e87881dab311a3b056b562fec4d..0000000000000000000000000000000000000000
--- a/src/bump_version.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from pathlib import Path
-
-import tomlkit
-from packaging.version import Version
-
-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"]) # type: ignore
- data["project"]["version"] = str( # type: ignore
- Version(f"{version.major}.{version.minor}.{version.micro + 1}")
- )
-
-with pyproject.open("w") as f:
- tomlkit.dump(data, f)
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 1f784e79fcef0019109c6c5bff873a037ce56585..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"]
-
-
-@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 bf9ed7a5803fd407117907e088a5add779c5b99c..0000000000000000000000000000000000000000
--- a/src/tests/test_load.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from pathlib import Path
-
-from datasets import load_dataset
-
-from tests.readme_parsing import read_frontmatter_and_body
-
-
-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:
- 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 25da3a0976e7e438bdd75442b8f4bbecd56d1241..0000000000000000000000000000000000000000
--- a/src/update_descriptive_statistics.py
+++ /dev/null
@@ -1,382 +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 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",
-) -> int:
- token_counts = dataset.map(
- _count_tokens,
- batched=True,
- batch_size=1000,
- num_proc=multiprocessing.cpu_count(),
- )
- 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) -> Self:
- return cls(
- number_of_samples=len(dataset),
- average_document_length=calculate_average_document_length(dataset),
- number_of_tokens=calculate_number_of_tokens(dataset),
- )
-
- 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)
-
- @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(k, str) and len(sample[k]) > max_str_len:
- sample[k] = sample[k][:max_str_len] + "[...]"
-
- 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,
-) -> None:
- logger.info("Adding descriptive statistics to readme.")
- desc_stats = DescriptiveStatsOverview.from_dataset(dataset)
- 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,
-) -> 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)
- 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",
- )
- 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"
- )
-
- 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["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,
-) -> None:
- logging.basicConfig(level=logging_level)
-
- if dataset and dataset != "default":
- dataset_path = repo_path / "data" / dataset
- update_dataset(dataset_path, dataset_path.name, force=force)
- return
-
- if dataset is None:
- datasets = (repo_path / "data").glob("*")
- for dataset_path in datasets:
- update_dataset(dataset_path, dataset_path.name, force=force)
-
- if dataset is None or dataset == "default":
- update_dataset(repo_path, "default", "README.md", force=force)
- 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),
- )
diff --git a/test_results.log b/test_results.log
deleted file mode 100644
index b051480d1c9de8423bdd31ad6223d2ded17073ab..0000000000000000000000000000000000000000
--- a/test_results.log
+++ /dev/null
@@ -1,13 +0,0 @@
-============================= test session starts ==============================
-platform darwin -- Python 3.12.0, pytest-8.3.4, pluggy-1.5.0
-rootdir: /Users/au561649/Github/danish-dynaword
-configfile: pyproject.toml
-collected 96 items
-
-src/tests/test_dataset_schema.py ....................................... [ 40%]
-.............................. [ 71%]
-src/tests/test_duplicates.py ssssssssssssssssssssssss [ 96%]
-src/tests/test_load.py .. [ 98%]
-src/tests/test_unique_ids.py . [100%]
-
-======================== 72 passed, 24 skipped in 3.98s ========================
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 3ed8280fe9f5bccd5d17e4f88a4ecb9e7e72f191..cb76cb04aa226110b02f03dfca5e2a0064b0fbfa 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
version = 1
-requires-python = "==3.12.*"
+requires-python = ">=3.13"
[[package]]
name = "aiohappyeyeballs"
@@ -12,7 +12,7 @@ wheels = [
[[package]]
name = "aiohttp"
-version = "3.11.11"
+version = "3.11.10"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@@ -23,23 +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 = "https://files.pythonhosted.org/packages/69/cf/4bda538c502f9738d6b95ada11603c05ec260807246e15e869fc3ec5de97/aiohttp-3.11.11-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:e595c591a48bbc295ebf47cb91aebf9bd32f3ff76749ecf282ea7f9f6bb73886", size = 704666 },
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- A Danish Foundation Models dataset
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