Datasets:
Update CI (#85)
Browse files- remove unused repo_path args in update_descriptive_stats (1c5949962bb7f53df9a450549971a59c3c836654)
- remove git revision for descriptive stats (77cbda13f0bad859256208132372419231ce2137)
- format (336032720f9c8a674218e7b87d350ed68946a45d)
- update makefile command to always update "default" dataset (36cd36a1f9ee7a9ed0f375a0c795d681ce833102)
- remove all desc stats (c25a38a0c0132e4963956bfc0b36d17cbf3ed8e1)
- recompute default desc stats from existing objects (dc99dc3fea2a297613e4c5406ead5365af67885e)
- recompute all descriptive stats (ca846aebe913e795f2004f53a7bb269b7415f3f7)
- updated changelog (d93483b3518c26863d1c0ca2b4b2fa15a251dbc3)
- format (e71a25834ddc3065bbe7231bdec115da4cf446dc)
- run make test (368299f2bde526907bc82521afa2f13ce4816456)
- Simplified contribution guidelines (b8558e6ce367c5026e954523a314d410c8cff058)
- Updated changelog (1ea8e9e5c1c4e2aa71fe9f558c6aaf4b556e6614)
- add "in tokens" to average document length and add dataset sizes plot (83aaf7ed6388c4c2d3c4fe00fe2b3381f3b7cf9c)
- updated changelog (37a3227a0674700fdf9a893c81c80e51b7ff0542)
- CHANGELOG.md +15 -0
- CONTRIBUTING.md +16 -4
- README.md +67 -80
- data/adl/adl.md +1 -3
- data/adl/descriptive_stats.json +5 -2
- data/ai-aktindsigt/ai-aktindsigt.md +1 -3
- data/ai-aktindsigt/descriptive_stats.json +5 -2
- data/botxt/botxt.md +1 -3
- data/botxt/descriptive_stats.json +5 -2
- data/cellar/cellar.md +1 -3
- data/cellar/descriptive_stats.json +5 -2
- data/dannet/dannet.md +1 -3
- data/dannet/descriptive_stats.json +5 -2
- data/danske-taler/danske-taler.md +1 -3
- data/danske-taler/descriptive_stats.json +5 -2
- data/depbank/depbank.md +1 -3
- data/depbank/descriptive_stats.json +5 -2
- data/domsdatabasen/create.py +1 -1
- data/domsdatabasen/descriptive_stats.json +5 -2
- data/domsdatabasen/domsdatabasen.md +1 -3
- data/enevaeldens_nyheder/descriptive_stats.json +5 -2
- data/enevaeldens_nyheder/enevaeldens_nyheder.md +1 -3
- data/ep/descriptive_stats.json +5 -2
- data/ep/ep.md +1 -3
- data/eur-lex-sum-da/descriptive_stats.json +5 -2
- data/eur-lex-sum-da/eur-lex-sum-da.md +1 -3
- data/fm-udgivelser/descriptive_stats.json +5 -2
- data/fm-udgivelser/fm-udgivelser.md +1 -3
- data/ft/descriptive_stats.json +5 -2
- data/ft/ft.md +1 -3
- data/grundtvig/descriptive_stats.json +5 -2
- data/grundtvig/grundtvig.md +1 -3
- data/gutenberg/descriptive_stats.json +5 -2
- data/gutenberg/gutenberg.md +1 -3
- data/health_hovedstaden/descriptive_stats.json +5 -2
- data/health_hovedstaden/health_hovedstaden.md +1 -3
- data/hest/descriptive_stats.json +5 -2
- data/hest/hest.md +1 -3
- data/jvj/descriptive_stats.json +5 -2
- data/jvj/jvj.md +1 -3
- data/lexdk/create.py +1 -1
- data/lexdk/descriptive_stats.json +0 -1
- data/memo/descriptive_stats.json +5 -2
- data/memo/memo.md +1 -3
- data/miljoeportalen/descriptive_stats.json +5 -2
- data/miljoeportalen/miljoeportalen.md +1 -3
- data/naat/descriptive_stats.json +5 -2
- data/naat/naat.md +1 -3
- data/ncc_books/create.py +4 -4
- data/ncc_books/descriptive_stats.json +5 -2
@@ -6,6 +6,21 @@ All notable changes to this project will be documented in this file.
|
|
6 |
The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
|
7 |
|
8 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
## [v1.2.8] - 2025-08-05
|
10 |
|
11 |
### Added
|
|
|
6 |
The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
|
7 |
|
8 |
|
9 |
+
## [v1.2.9] - 2025-08-05
|
10 |
+
|
11 |
+
### Docs
|
12 |
+
|
13 |
+
- Average document length now uses tokens instead of characters
|
14 |
+
- Added vizualization for checking document length in sub datasets
|
15 |
+
- Changes to `*/descriptive_stats.json`:
|
16 |
+
- The object no longer includes revision.
|
17 |
+
- Now include character-level metrics along with minimum and maximum length. Removed average document length as it is computable from existing metrics.
|
18 |
+
- Removed per-dataset histograms from the main readme. The goal is to avoid loading the entire dataset when updating the readme. This should make it easier for contributors.
|
19 |
+
- Simplifying PR workflow in `contributing.md`
|
20 |
+
|
21 |
+
### CI
|
22 |
+
- Fixes bug causing `make update-descriptive-stats` to fail when not having a linear commit history. The script now skips a dataset update based on revision, but only if the `descriptive_stats.json` file does not exist. To ensure that the main readme is always up to date, we change the make command always to update it.
|
23 |
+
|
24 |
## [v1.2.8] - 2025-08-05
|
25 |
|
26 |
### Added
|
@@ -57,17 +57,29 @@ Creating a PR on Huggingface is a bit different from creating one on Github.
|
|
57 |
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:
|
58 |
|
59 |
```bash
|
60 |
-
git
|
61 |
-
git checkout pr/{PR NUMBER}
|
62 |
# make your changes here
|
63 |
|
64 |
# push to hub
|
65 |
# you might need to first login:
|
66 |
# huggingface-cli login
|
67 |
-
git push origin
|
68 |
```
|
|
|
|
|
|
|
69 |
|
70 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
71 |
|
72 |
### Checklist
|
73 |
|
|
|
57 |
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:
|
58 |
|
59 |
```bash
|
60 |
+
git checkout -b {new branch name}
|
|
|
61 |
# make your changes here
|
62 |
|
63 |
# push to hub
|
64 |
# you might need to first login:
|
65 |
# huggingface-cli login
|
66 |
+
git push origin HEAD:refs/pr/{PR NUMBER}
|
67 |
```
|
68 |
+
Where HEAD refers to the current branch.
|
69 |
+
|
70 |
+
Before you make the PR do be sure to make sure that you have completed the checklist below.
|
71 |
|
72 |
+
### Making changes to an existing PR
|
73 |
+
|
74 |
+
As a contributor you might need to develop on an existing branch. To do so you you
|
75 |
+
```bash
|
76 |
+
# fetch and checkout existing branch:
|
77 |
+
git fetch origin refs/pr/{PR NUMBER}:pr/{PR NUMBER}
|
78 |
+
git checkout pr/{PR NUMBER}
|
79 |
+
# make your changes here
|
80 |
+
|
81 |
+
# push changes
|
82 |
+
```
|
83 |
|
84 |
### Checklist
|
85 |
|
@@ -233,10 +233,9 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
|
|
233 |
## Dataset Description
|
234 |
|
235 |
<!-- START-DESC-STATS -->
|
236 |
-
- **Language**: dan, dansk, Danish
|
237 |
- **Number of samples**: 5.55M
|
238 |
- **Number of tokens (Llama 3)**: 5.83B
|
239 |
-
- **Average document length (
|
240 |
<!-- END-DESC-STATS -->
|
241 |
|
242 |
|
@@ -296,20 +295,20 @@ This dynaword consist of data from various domains (e.g., legal, books, social m
|
|
296 |
|
297 |
|
298 |
<!-- START-DOMAIN TABLE -->
|
299 |
-
| Domain | Sources | N. Tokens
|
300 |
-
|
301 |
-
| Legal | [cellar], [eur-lex-sum-da], [fm-udgivelser], [retsinformationdk], [skat], [retspraksis], [domsdatabasen] | 2.32B
|
302 |
-
| News | [enevaeldens_nyheder], [ncc_newspaper], [tv2r], [nordjyllandnews] | 1.09B
|
303 |
-
| Books | [grundtvig], [ncc_books], [memo], [adl], [wikibooks], [jvj], [gutenberg], [relig] | 732.52M
|
304 |
-
| Conversation | [danske-taler], [opensubtitles], [ep], [ft], [spont], [naat] | 497.09M
|
305 |
-
| Social Media | [hest] | 389.32M
|
306 |
-
| Other | [ncc_parliament], [dannet], [depbank], [synne] | 340.59M
|
307 |
-
| Web | [ai-aktindsigt], [ncc_maalfrid], [miljoeportalen] | 295.87M
|
308 |
-
| Encyclopedic | [wikisource], [wiki] | 127.35M
|
309 |
-
| Medical | [health_hovedstaden] | 27.07M
|
310 |
-
| Readaloud | [nota] | 7.30M
|
311 |
-
| Dialect | [botxt] | 847.97K
|
312 |
-
| **Total** | | 5.83B
|
313 |
|
314 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
315 |
[cellar]: data/cellar/cellar.md
|
@@ -370,13 +369,13 @@ The following gives an overview of the licensing in the Dynaword. To get the exa
|
|
370 |
These license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under [CC-0](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
|
371 |
|
372 |
<!-- START-LICENSE TABLE -->
|
373 |
-
| License | Sources | N. Tokens
|
374 |
-
|
375 |
-
| CC-0 | [enevaeldens_nyheder], [grundtvig], [danske-taler], [ncc_books], [ncc_newspaper], [miljoeportalen], [opensubtitles], [ep], [ft], [wikisource], [spont], [adl], [hest], [skat], [retspraksis], [wikibooks], [botxt], [naat], [synne], [wiki], [nordjyllandnews], [relig], [nota], [health_hovedstaden] | 3.04B
|
376 |
-
| CC-BY-SA 4.0 | [cellar], [eur-lex-sum-da], [fm-udgivelser], [memo], [tv2r], [jvj], [depbank] | 1.37B
|
377 |
-
| Other (No attribution required) | [retsinformationdk], [domsdatabasen] | 904.61M
|
378 |
-
| Other (Attribution required) | [ai-aktindsigt], [ncc_maalfrid], [ncc_parliament], [dannet], [gutenberg] | 515.61M
|
379 |
-
| **Total** | | 5.83B
|
380 |
|
381 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
382 |
[cellar]: data/cellar/cellar.md
|
@@ -432,10 +431,7 @@ Each entry in the dataset consists of a single text with associated metadata
|
|
432 |
```py
|
433 |
{
|
434 |
"id": "adl_aakjaer06val",
|
435 |
-
"text": "SAMLEDE VÆRKER
|
436 |
-
|
437 |
-
JEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG
|
438 |
-
KRISTIANIA 1919 0[...]",
|
439 |
"source": "adl",
|
440 |
"added": "2020-09-14",
|
441 |
"created": "1700-01-01, 2022-01-01",
|
@@ -482,47 +478,47 @@ Below follows a brief overview of the sources in the corpus along with their ind
|
|
482 |
You can learn more about each dataset by pressing the link in the first column.
|
483 |
|
484 |
<!-- START-MAIN TABLE -->
|
485 |
-
| Source | Description | Domain | N. Tokens
|
486 |
-
|
487 |
-
| [cellar] | The official digital repository for European Union legal documents and open data | Legal | 1.15B
|
488 |
-
| [enevaeldens_nyheder] | High quality OCR'd texts from Danish and Norwegian newspapers during the period of constitutional absolutism in Denmark (1660–1849) | News | 1.03B
|
489 |
-
| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | Legal | 818.25M
|
490 |
-
| [ncc_books] | Danish books extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from OCR | Books | 531.97M
|
491 |
-
| [hest] | Samples from the Danish debate forum www.heste-nettet.dk | Social Media | 389.32M
|
492 |
-
| [ncc_parliament] | Collections from the Norwegian parliament in Danish. Extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from ocr | Other | 338.87M
|
493 |
-
| [opensubtitles] | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) | Conversation | 271.60M
|
494 |
-
| [ai-aktindsigt] | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project | Web | 139.23M
|
495 |
-
| [miljoeportalen] | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal) | Web | 127.38M
|
496 |
-
| [skat] | Skat is the Danish tax authority. This dataset contains content from its website skat.dk | Legal | 122.11M
|
497 |
-
| [wiki] | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page) | Encyclopedic | 122.00M
|
498 |
-
| [ft] | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall | Conversation | 114.09M
|
499 |
-
| [memo] | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough | Books | 113.74M
|
500 |
-
| [ep] | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/) | Conversation | 100.84M
|
501 |
-
| [domsdatabasen] | [Domsdatabasen.dk](https://domsdatabasen.dk/) is a public database containing selected judgments from the Danish courts | Legal | 86.35M
|
502 |
-
| [adl] | Danish literature from 1700-2023 from the [Archive for Danish Literature](https://tekster.kb.dk/text?editorial=no&f%5Bsubcollection_ssi%5D%5B%5D=adl&match=one&search_field=Alt) (ADL) | Books | 58.49M
|
503 |
-
| [retspraksis] | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis) | Legal | 56.26M
|
504 |
-
| [fm-udgivelser] | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents | Legal | 50.34M
|
505 |
-
| [nordjyllandnews] | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk) | News | 37.90M
|
506 |
-
| [eur-lex-sum-da] | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries | Legal | 31.37M
|
507 |
-
| [ncc_maalfrid] | Danish content from Norwegian institutions websites | Web | 29.26M
|
508 |
-
| [health_hovedstaden] | Guidelines and informational documents for healthcare professionals from the Capital Region | Medical | 27.07M
|
509 |
-
| [tv2r] | Contemporary Danish newswire articles published between 2010 and 2019 | News | 21.67M
|
510 |
-
| [grundtvig] | The complete collection of [Grundtvig](https://en.wikipedia.org/wiki/N._F._S._Grundtvig) (1783-1872) one of Denmark’s most influential figures | Books | 10.53M
|
511 |
-
| [danske-taler] | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk) | Conversation | 8.72M
|
512 |
-
| [nota] | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset | Readaloud | 7.30M
|
513 |
-
| [gutenberg] | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org) | Books | 6.76M
|
514 |
-
| [wikibooks] | The Danish Subsection of [Wikibooks](https://www.wikibooks.org) | Books | 6.24M
|
515 |
-
| [wikisource] | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page) | Encyclopedic | 5.34M
|
516 |
-
| [jvj] | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen) | Books | 3.55M
|
517 |
-
| [spont] | Conversational samples collected as a part of research projects at Aarhus University | Conversation | 1.56M
|
518 |
-
| [dannet] | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet | Other | 1.48M
|
519 |
-
| [relig] | Danish religious text from the 1700-2022 | Books | 1.24M
|
520 |
-
| [ncc_newspaper] | OCR'd Newspapers derived from [NCC](https://huggingface.co/datasets/NbAiLab/NCC) | News | 1.05M
|
521 |
-
| [botxt] | The Bornholmsk Ordbog Dictionary Project | Dialect | 847.97K
|
522 |
-
| [naat] | Danish speeches from 1930-2022 | Conversation | 286.68K
|
523 |
-
| [depbank] | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT) | Other | 185.45K
|
524 |
-
| [synne] | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk | Other | 52.02K
|
525 |
-
| **Total** | | | 5.83B
|
526 |
|
527 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
528 |
[cellar]: data/cellar/cellar.md
|
@@ -590,21 +586,12 @@ The data collection and processing varies depending on the dataset and is docume
|
|
590 |
|
591 |
In addition to data specific processing we also run a series automated quality checks to ensure formatting (e.g. ensuring correctly formatted columns and unique IDs), quality checks (e.g. duplicate and empty string detection) and datasheet documentation checks. These checks are there to ensure a high quality of documentation and a minimal level of quality. To allow for the development of novel cleaning methodologies we do not provide more extensive cleaning.
|
592 |
|
593 |
-
|
594 |
-
|
595 |
### Dataset Statistics
|
596 |
-
The following plot
|
597 |
|
598 |
-
<details>
|
599 |
-
<summary>Per dataset histograms</summary>
|
600 |
-
<!-- START-DATASET PLOTS -->
|
601 |
<p align="center">
|
602 |
-
<img src="./images/
|
603 |
</p>
|
604 |
-
<!-- END-DATASET PLOTS -->
|
605 |
-
</details>
|
606 |
-
|
607 |
-
|
608 |
|
609 |
|
610 |
|
@@ -668,4 +655,4 @@ We will comply with legitimate requests by removing the affected sources from th
|
|
668 |
<img src="./docs/icon.png" width="30" style="margin-right: 10px;" />
|
669 |
</a>
|
670 |
A <a href=https://www.foundationmodels.dk>Danish Foundation Models</a> dataset
|
671 |
-
</h3>
|
|
|
233 |
## Dataset Description
|
234 |
|
235 |
<!-- START-DESC-STATS -->
|
|
|
236 |
- **Number of samples**: 5.55M
|
237 |
- **Number of tokens (Llama 3)**: 5.83B
|
238 |
+
- **Average document length (min, max)**: 1.05K [2, 9.81M]
|
239 |
<!-- END-DESC-STATS -->
|
240 |
|
241 |
|
|
|
295 |
|
296 |
|
297 |
<!-- START-DOMAIN TABLE -->
|
298 |
+
| Domain | Sources | N. Tokens |
|
299 |
+
| :----------- | :------------------------------------------------------------------------------------------------------- | :-------- |
|
300 |
+
| Legal | [cellar], [eur-lex-sum-da], [fm-udgivelser], [retsinformationdk], [skat], [retspraksis], [domsdatabasen] | 2.32B |
|
301 |
+
| News | [enevaeldens_nyheder], [ncc_newspaper], [tv2r], [nordjyllandnews] | 1.09B |
|
302 |
+
| Books | [grundtvig], [ncc_books], [memo], [adl], [wikibooks], [jvj], [gutenberg], [relig] | 732.52M |
|
303 |
+
| Conversation | [danske-taler], [opensubtitles], [ep], [ft], [spont], [naat] | 497.09M |
|
304 |
+
| Social Media | [hest] | 389.32M |
|
305 |
+
| Other | [ncc_parliament], [dannet], [depbank], [synne] | 340.59M |
|
306 |
+
| Web | [ai-aktindsigt], [ncc_maalfrid], [miljoeportalen] | 295.87M |
|
307 |
+
| Encyclopedic | [wikisource], [wiki] | 127.35M |
|
308 |
+
| Medical | [health_hovedstaden] | 27.07M |
|
309 |
+
| Readaloud | [nota] | 7.30M |
|
310 |
+
| Dialect | [botxt] | 847.97K |
|
311 |
+
| **Total** | | 5.83B |
|
312 |
|
313 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
314 |
[cellar]: data/cellar/cellar.md
|
|
|
369 |
These license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under [CC-0](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
|
370 |
|
371 |
<!-- START-LICENSE TABLE -->
|
372 |
+
| License | Sources | N. Tokens |
|
373 |
+
| :------------------------------ | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------- |
|
374 |
+
| CC-0 | [enevaeldens_nyheder], [grundtvig], [danske-taler], [ncc_books], [ncc_newspaper], [miljoeportalen], [opensubtitles], [ep], [ft], [wikisource], [spont], [adl], [hest], [skat], [retspraksis], [wikibooks], [botxt], [naat], [synne], [wiki], [nordjyllandnews], [relig], [nota], [health_hovedstaden] | 3.04B |
|
375 |
+
| CC-BY-SA 4.0 | [cellar], [eur-lex-sum-da], [fm-udgivelser], [memo], [tv2r], [jvj], [depbank] | 1.37B |
|
376 |
+
| Other (No attribution required) | [retsinformationdk], [domsdatabasen] | 904.61M |
|
377 |
+
| Other (Attribution required) | [ai-aktindsigt], [ncc_maalfrid], [ncc_parliament], [dannet], [gutenberg] | 515.61M |
|
378 |
+
| **Total** | | 5.83B |
|
379 |
|
380 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
381 |
[cellar]: data/cellar/cellar.md
|
|
|
431 |
```py
|
432 |
{
|
433 |
"id": "adl_aakjaer06val",
|
434 |
+
"text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]",
|
|
|
|
|
|
|
435 |
"source": "adl",
|
436 |
"added": "2020-09-14",
|
437 |
"created": "1700-01-01, 2022-01-01",
|
|
|
478 |
You can learn more about each dataset by pressing the link in the first column.
|
479 |
|
480 |
<!-- START-MAIN TABLE -->
|
481 |
+
| Source | Description | Domain | N. Tokens | License |
|
482 |
+
| :-------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------- | :-------- | :--------------------- |
|
483 |
+
| [cellar] | The official digital repository for European Union legal documents and open data | Legal | 1.15B | [CC-BY-SA 4.0] |
|
484 |
+
| [enevaeldens_nyheder] | High quality OCR'd texts from Danish and Norwegian newspapers during the period of constitutional absolutism in Denmark (1660–1849) | News | 1.03B | [CC-0] |
|
485 |
+
| [retsinformationdk] | [retsinformation.dk](https://www.retsinformation.dk) (legal-information.dk) the official legal information system of Denmark | Legal | 818.25M | [Danish Copyright Law] |
|
486 |
+
| [ncc_books] | Danish books extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from OCR | Books | 531.97M | [CC-0] |
|
487 |
+
| [hest] | Samples from the Danish debate forum www.heste-nettet.dk | Social Media | 389.32M | [CC-0] |
|
488 |
+
| [ncc_parliament] | Collections from the Norwegian parliament in Danish. Extracted from the [Norwegian Colossal Corpus](https://huggingface.co/datasets/NbAiLab/NCC) derived from ocr | Other | 338.87M | [NLOD 2.0] |
|
489 |
+
| [opensubtitles] | Danish subsection of [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) | Conversation | 271.60M | [CC-0] |
|
490 |
+
| [ai-aktindsigt] | Multiple web scrapes from municipality websites collected as a part of the [AI-aktindsigt](https://ai-aktindsigt.dk) project | Web | 139.23M | [Apache 2.0] |
|
491 |
+
| [miljoeportalen] | Data from [Danmarks Miljøportalen](https://www.miljoeportal.dk/om-danmarks-miljoeportal/) (Denmark's Environment Portal) | Web | 127.38M | [CC-0] |
|
492 |
+
| [skat] | Skat is the Danish tax authority. This dataset contains content from its website skat.dk | Legal | 122.11M | [CC-0] |
|
493 |
+
| [wiki] | The Danish subsection of [wikipedia](https://en.wikipedia.org/wiki/Main_Page) | Encyclopedic | 122.00M | [CC-0] |
|
494 |
+
| [ft] | Records from all meetings of The Danish parliament (Folketinget) in the parliament hall | Conversation | 114.09M | [CC-0] |
|
495 |
+
| [memo] | The MeMo corpus comprising almost all Danish novels from the period 1870-1899, known as the Modern Breakthrough | Books | 113.74M | [CC-BY-SA 4.0] |
|
496 |
+
| [ep] | The Danish subsection of [Europarl](https://aclanthology.org/2005.mtsummit-papers.11/) | Conversation | 100.84M | [CC-0] |
|
497 |
+
| [domsdatabasen] | [Domsdatabasen.dk](https://domsdatabasen.dk/) is a public database containing selected judgments from the Danish courts | Legal | 86.35M | [Danish Copyright Law] |
|
498 |
+
| [adl] | Danish literature from 1700-2023 from the [Archive for Danish Literature](https://tekster.kb.dk/text?editorial=no&f%5Bsubcollection_ssi%5D%5B%5D=adl&match=one&search_field=Alt) (ADL) | Books | 58.49M | [CC-0] |
|
499 |
+
| [retspraksis] | Case law or judical practice in Denmark derived from [Retspraksis](https://da.wikipedia.org/wiki/Retspraksis) | Legal | 56.26M | [CC-0] |
|
500 |
+
| [fm-udgivelser] | The official publication series of the Danish Ministry of Finance containing economic analyses, budget proposals, and fiscal policy documents | Legal | 50.34M | [CC-BY-SA 4.0] |
|
501 |
+
| [nordjyllandnews] | Articles from the Danish Newspaper [TV2 Nord](https://www.tv2nord.dk) | News | 37.90M | [CC-0] |
|
502 |
+
| [eur-lex-sum-da] | The Danish subsection of EUR-lex SUM consisting of EU legislation paired with professionally written summaries | Legal | 31.37M | [CC-BY-SA 4.0] |
|
503 |
+
| [ncc_maalfrid] | Danish content from Norwegian institutions websites | Web | 29.26M | [NLOD 2.0] |
|
504 |
+
| [health_hovedstaden] | Guidelines and informational documents for healthcare professionals from the Capital Region | Medical | 27.07M | [CC-0] |
|
505 |
+
| [tv2r] | Contemporary Danish newswire articles published between 2010 and 2019 | News | 21.67M | [CC-BY-SA 4.0] |
|
506 |
+
| [grundtvig] | The complete collection of [Grundtvig](https://en.wikipedia.org/wiki/N._F._S._Grundtvig) (1783-1872) one of Denmark’s most influential figures | Books | 10.53M | [CC-0] |
|
507 |
+
| [danske-taler] | Danish Speeches from [dansketaler.dk](https://www.dansketaler.dk) | Conversation | 8.72M | [CC-0] |
|
508 |
+
| [nota] | The text only part of the [Nota lyd- og tekstdata](https://sprogteknologi.dk/dataset/nota-lyd-og-tekstdata) dataset | Readaloud | 7.30M | [CC-0] |
|
509 |
+
| [gutenberg] | The Danish subsection from Project [Gutenberg](https://www.gutenberg.org) | Books | 6.76M | [Gutenberg] |
|
510 |
+
| [wikibooks] | The Danish Subsection of [Wikibooks](https://www.wikibooks.org) | Books | 6.24M | [CC-0] |
|
511 |
+
| [wikisource] | The Danish subsection of [Wikisource](https://en.wikisource.org/wiki/Main_Page) | Encyclopedic | 5.34M | [CC-0] |
|
512 |
+
| [jvj] | The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikipedia.org/wiki/Johannes_V._Jensen) | Books | 3.55M | [CC-BY-SA 4.0] |
|
513 |
+
| [spont] | Conversational samples collected as a part of research projects at Aarhus University | Conversation | 1.56M | [CC-0] |
|
514 |
+
| [dannet] | [DanNet](https://cst.ku.dk/projekter/dannet) is a Danish WordNet | Other | 1.48M | [DanNet 1.0] |
|
515 |
+
| [relig] | Danish religious text from the 1700-2022 | Books | 1.24M | [CC-0] |
|
516 |
+
| [ncc_newspaper] | OCR'd Newspapers derived from [NCC](https://huggingface.co/datasets/NbAiLab/NCC) | News | 1.05M | [CC-0] |
|
517 |
+
| [botxt] | The Bornholmsk Ordbog Dictionary Project | Dialect | 847.97K | [CC-0] |
|
518 |
+
| [naat] | Danish speeches from 1930-2022 | Conversation | 286.68K | [CC-0] |
|
519 |
+
| [depbank] | The Danish subsection of the [Universal Dependencies Treebank](https://github.com/UniversalDependencies/UD_Danish-DDT) | Other | 185.45K | [CC-BY-SA 4.0] |
|
520 |
+
| [synne] | Dataset collected from [synnejysk forening's website](https://www.synnejysk.dk), covering the Danish dialect sønderjysk | Other | 52.02K | [CC-0] |
|
521 |
+
| **Total** | | | 5.83B | |
|
522 |
|
523 |
[ai-aktindsigt]: data/ai-aktindsigt/ai-aktindsigt.md
|
524 |
[cellar]: data/cellar/cellar.md
|
|
|
586 |
|
587 |
In addition to data specific processing we also run a series automated quality checks to ensure formatting (e.g. ensuring correctly formatted columns and unique IDs), quality checks (e.g. duplicate and empty string detection) and datasheet documentation checks. These checks are there to ensure a high quality of documentation and a minimal level of quality. To allow for the development of novel cleaning methodologies we do not provide more extensive cleaning.
|
588 |
|
|
|
|
|
589 |
### Dataset Statistics
|
590 |
+
The following plot(s) are intended to give an overview of docuements length in the various sources.
|
591 |
|
|
|
|
|
|
|
592 |
<p align="center">
|
593 |
+
<img src="./images/dataset_size_plot.svg" width="600" style="margin-right: 10px;" />
|
594 |
</p>
|
|
|
|
|
|
|
|
|
595 |
|
596 |
|
597 |
|
|
|
655 |
<img src="./docs/icon.png" width="30" style="margin-right: 10px;" />
|
656 |
</a>
|
657 |
A <a href=https://www.foundationmodels.dk>Danish Foundation Models</a> dataset
|
658 |
+
</h3>
|
@@ -33,11 +33,9 @@ on the Danish Royal Library's [website](https://tekster.kb.dk/text?editorial=no&
|
|
33 |
See also dataset [entry](https://sprogteknologi.dk/dataset/public-adl-text-sources) on sprogteknologi.dk and an [API](https://rawgit.com/Det-Kongelige-Bibliotek/access-digital-objects/master/form-demos/adl-form.html).
|
34 |
|
35 |
<!-- START-DESC-STATS -->
|
36 |
-
- **Language**: dan, dansk, Danish
|
37 |
-
- **Domains**: Books
|
38 |
- **Number of samples**: 498
|
39 |
- **Number of tokens (Llama 3)**: 58.49M
|
40 |
-
- **Average document length (
|
41 |
<!-- END-DESC-STATS -->
|
42 |
|
43 |
|
|
|
33 |
See also dataset [entry](https://sprogteknologi.dk/dataset/public-adl-text-sources) on sprogteknologi.dk and an [API](https://rawgit.com/Det-Kongelige-Bibliotek/access-digital-objects/master/form-demos/adl-form.html).
|
34 |
|
35 |
<!-- START-DESC-STATS -->
|
|
|
|
|
36 |
- **Number of samples**: 498
|
37 |
- **Number of tokens (Llama 3)**: 58.49M
|
38 |
+
- **Average document length (min, max)**: 117.46K [53, 662.14K]
|
39 |
<!-- END-DESC-STATS -->
|
40 |
|
41 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 498,
|
3 |
-
"average_document_length": 324932.2429718876,
|
4 |
"number_of_tokens": 58493311,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 498,
|
|
|
3 |
"number_of_tokens": 58493311,
|
4 |
+
"min_length_tokens": 53,
|
5 |
+
"max_length_tokens": 662143,
|
6 |
+
"number_of_characters": 161816257,
|
7 |
+
"min_length_characters": 136,
|
8 |
+
"max_length_characters": 1879004
|
9 |
}
|
@@ -27,11 +27,9 @@ The dataset consists of multiple scrapes of municipal websites compiled in conne
|
|
27 |
|
28 |
|
29 |
<!-- START-DESC-STATS -->
|
30 |
-
- **Language**: dan, dansk, Danish
|
31 |
-
- **Domains**: Web
|
32 |
- **Number of samples**: 200.91K
|
33 |
- **Number of tokens (Llama 3)**: 139.23M
|
34 |
-
- **Average document length (
|
35 |
<!-- END-DESC-STATS -->
|
36 |
|
37 |
|
|
|
27 |
|
28 |
|
29 |
<!-- START-DESC-STATS -->
|
|
|
|
|
30 |
- **Number of samples**: 200.91K
|
31 |
- **Number of tokens (Llama 3)**: 139.23M
|
32 |
+
- **Average document length (min, max)**: 693.0064405666105 [9, 152.60K]
|
33 |
<!-- END-DESC-STATS -->
|
34 |
|
35 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 200914,
|
3 |
-
"average_document_length": 2030.7490916511542,
|
4 |
"number_of_tokens": 139234696,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 200914,
|
|
|
3 |
"number_of_tokens": 139234696,
|
4 |
+
"min_length_tokens": 9,
|
5 |
+
"max_length_tokens": 152599,
|
6 |
+
"number_of_characters": 408005923,
|
7 |
+
"min_length_characters": 29,
|
8 |
+
"max_length_characters": 406832
|
9 |
}
|
@@ -30,11 +30,9 @@ Fictional texts of various kinds written in Bornholmsk, the dialect spoken on th
|
|
30 |
|
31 |
|
32 |
<!-- START-DESC-STATS -->
|
33 |
-
- **Language**: dan, dansk, Danish
|
34 |
-
- **Domains**: Dialect, Web
|
35 |
- **Number of samples**: 106
|
36 |
- **Number of tokens (Llama 3)**: 847.97K
|
37 |
-
- **Average document length (
|
38 |
<!-- END-DESC-STATS -->
|
39 |
|
40 |
|
|
|
30 |
|
31 |
|
32 |
<!-- START-DESC-STATS -->
|
|
|
|
|
33 |
- **Number of samples**: 106
|
34 |
- **Number of tokens (Llama 3)**: 847.97K
|
35 |
+
- **Average document length (min, max)**: 8.00K [407, 83.79K]
|
36 |
<!-- END-DESC-STATS -->
|
37 |
|
38 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 106,
|
3 |
-
"average_document_length": 18972.415094339623,
|
4 |
"number_of_tokens": 847973,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 106,
|
|
|
3 |
"number_of_tokens": 847973,
|
4 |
+
"min_length_tokens": 407,
|
5 |
+
"max_length_tokens": 83792,
|
6 |
+
"number_of_characters": 2011076,
|
7 |
+
"min_length_characters": 845,
|
8 |
+
"max_length_characters": 202015
|
9 |
}
|
@@ -25,11 +25,9 @@ The EU Dataset Cellar serves as the central access point for all official EU pub
|
|
25 |
## Dataset Description
|
26 |
|
27 |
<!-- START-DESC-STATS -->
|
28 |
-
- **Language**: dan, dansk, Danish
|
29 |
-
- **Domains**: Legal
|
30 |
- **Number of samples**: 63.40K
|
31 |
- **Number of tokens (Llama 3)**: 1.15B
|
32 |
-
- **Average document length (
|
33 |
<!-- END-DESC-STATS -->
|
34 |
|
35 |
|
|
|
25 |
## Dataset Description
|
26 |
|
27 |
<!-- START-DESC-STATS -->
|
|
|
|
|
28 |
- **Number of samples**: 63.40K
|
29 |
- **Number of tokens (Llama 3)**: 1.15B
|
30 |
+
- **Average document length (min, max)**: 18.17K [7, 2.60M]
|
31 |
<!-- END-DESC-STATS -->
|
32 |
|
33 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 63399,
|
3 |
-
"average_document_length": 60987.84318364643,
|
4 |
"number_of_tokens": 1152074881,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 63399,
|
|
|
3 |
"number_of_tokens": 1152074881,
|
4 |
+
"min_length_tokens": 7,
|
5 |
+
"max_length_tokens": 2599840,
|
6 |
+
"number_of_characters": 3866568270,
|
7 |
+
"min_length_characters": 14,
|
8 |
+
"max_length_characters": 37287484
|
9 |
}
|
@@ -31,11 +31,9 @@ A WordNet is a lexico-semantic network which show the meaning and the relation b
|
|
31 |
|
32 |
|
33 |
<!-- START-DESC-STATS -->
|
34 |
-
- **Language**: dan, dansk, Danish
|
35 |
-
- **Domains**: Other
|
36 |
- **Number of samples**: 47.60K
|
37 |
- **Number of tokens (Llama 3)**: 1.48M
|
38 |
-
- **Average document length (
|
39 |
<!-- END-DESC-STATS -->
|
40 |
|
41 |
|
|
|
31 |
|
32 |
|
33 |
<!-- START-DESC-STATS -->
|
|
|
|
|
34 |
- **Number of samples**: 47.60K
|
35 |
- **Number of tokens (Llama 3)**: 1.48M
|
36 |
+
- **Average document length (min, max)**: 31.079364745919374 [2, 106]
|
37 |
<!-- END-DESC-STATS -->
|
38 |
|
39 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 47603,
|
3 |
-
"average_document_length": 90.87914627229377,
|
4 |
"number_of_tokens": 1479471,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 47603,
|
|
|
3 |
"number_of_tokens": 1479471,
|
4 |
+
"min_length_tokens": 2,
|
5 |
+
"max_length_tokens": 106,
|
6 |
+
"number_of_characters": 4326120,
|
7 |
+
"min_length_characters": 2,
|
8 |
+
"max_length_characters": 340
|
9 |
}
|
@@ -37,11 +37,9 @@ Learn more about danske taler by reading their [about us](https://www.dansketale
|
|
37 |
|
38 |
|
39 |
<!-- START-DESC-STATS -->
|
40 |
-
- **Language**: dan, dansk, Danish
|
41 |
-
- **Domains**: Conversation, Speeches, Spoken
|
42 |
- **Number of samples**: 2.91K
|
43 |
- **Number of tokens (Llama 3)**: 8.72M
|
44 |
-
- **Average document length (
|
45 |
<!-- END-DESC-STATS -->
|
46 |
|
47 |
|
|
|
37 |
|
38 |
|
39 |
<!-- START-DESC-STATS -->
|
|
|
|
|
40 |
- **Number of samples**: 2.91K
|
41 |
- **Number of tokens (Llama 3)**: 8.72M
|
42 |
+
- **Average document length (min, max)**: 3.00K [129, 53.40K]
|
43 |
<!-- END-DESC-STATS -->
|
44 |
|
45 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 2912,
|
3 |
-
"average_document_length": 9140.421703296703,
|
4 |
"number_of_tokens": 8723951,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 2912,
|
|
|
3 |
"number_of_tokens": 8723951,
|
4 |
+
"min_length_tokens": 129,
|
5 |
+
"max_length_tokens": 53401,
|
6 |
+
"number_of_characters": 26616908,
|
7 |
+
"min_length_characters": 388,
|
8 |
+
"max_length_characters": 155429
|
9 |
}
|
@@ -32,11 +32,9 @@ While the dataset was initially intended as a rich annotation, this corpora only
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
35 |
-
- **Language**: dan, dansk, Danish
|
36 |
-
- **Domains**: Other
|
37 |
- **Number of samples**: 536
|
38 |
- **Number of tokens (Llama 3)**: 185.45K
|
39 |
-
- **Average document length (
|
40 |
<!-- END-DESC-STATS -->
|
41 |
|
42 |
|
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
|
|
|
|
35 |
- **Number of samples**: 536
|
36 |
- **Number of tokens (Llama 3)**: 185.45K
|
37 |
+
- **Average document length (min, max)**: 345.99626865671644 [261, 517]
|
38 |
<!-- END-DESC-STATS -->
|
39 |
|
40 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 536,
|
3 |
-
"average_document_length": 1018.8992537313433,
|
4 |
"number_of_tokens": 185454,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 536,
|
|
|
3 |
"number_of_tokens": 185454,
|
4 |
+
"min_length_tokens": 261,
|
5 |
+
"max_length_tokens": 517,
|
6 |
+
"number_of_characters": 546130,
|
7 |
+
"min_length_characters": 773,
|
8 |
+
"max_length_characters": 1398
|
9 |
}
|
@@ -114,7 +114,7 @@ def retry(func, *args, retries=RETRY_COUNT, delay=RETRY_DELAY, **kwargs):
|
|
114 |
try:
|
115 |
return func(*args, **kwargs)
|
116 |
except Exception as e:
|
117 |
-
logger.warning(f"⚠️ Retry {attempt+1}/{retries} failed: {e}")
|
118 |
time.sleep(delay)
|
119 |
raise RuntimeError(f"❌ All retries failed for {func.__name__}({args})")
|
120 |
|
|
|
114 |
try:
|
115 |
return func(*args, **kwargs)
|
116 |
except Exception as e:
|
117 |
+
logger.warning(f"⚠️ Retry {attempt + 1}/{retries} failed: {e}")
|
118 |
time.sleep(delay)
|
119 |
raise RuntimeError(f"❌ All retries failed for {func.__name__}({args})")
|
120 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 8468,
|
3 |
-
"average_document_length": 30235.720004723666,
|
4 |
"number_of_tokens": 86353024,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 8468,
|
|
|
3 |
"number_of_tokens": 86353024,
|
4 |
+
"min_length_tokens": 15,
|
5 |
+
"max_length_tokens": 1008826,
|
6 |
+
"number_of_characters": 256036077,
|
7 |
+
"min_length_characters": 35,
|
8 |
+
"max_length_characters": 3021437
|
9 |
}
|
@@ -56,11 +56,9 @@ Domsdatabasen is continuously being developed. As digitization progresses and te
|
|
56 |
|
57 |
|
58 |
<!-- START-DESC-STATS -->
|
59 |
-
- **Language**: dan, dansk, Danish
|
60 |
-
- **Domains**: Legal
|
61 |
- **Number of samples**: 8.47K
|
62 |
- **Number of tokens (Llama 3)**: 86.35M
|
63 |
-
- **Average document length (
|
64 |
<!-- END-DESC-STATS -->
|
65 |
|
66 |
|
|
|
56 |
|
57 |
|
58 |
<!-- START-DESC-STATS -->
|
|
|
|
|
59 |
- **Number of samples**: 8.47K
|
60 |
- **Number of tokens (Llama 3)**: 86.35M
|
61 |
+
- **Average document length (min, max)**: 10.20K [15, 1.01M]
|
62 |
<!-- END-DESC-STATS -->
|
63 |
|
64 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 4593228,
|
3 |
-
"average_document_length": 629.0663916531032,
|
4 |
"number_of_tokens": 1034308344,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 4593228,
|
|
|
3 |
"number_of_tokens": 1034308344,
|
4 |
+
"min_length_tokens": 3,
|
5 |
+
"max_length_tokens": 37294,
|
6 |
+
"number_of_characters": 2889445364,
|
7 |
+
"min_length_characters": 4,
|
8 |
+
"max_length_characters": 111182
|
9 |
}
|
@@ -31,11 +31,9 @@ The newspaper editions have been segmented into individual texts using a model d
|
|
31 |
|
32 |
|
33 |
<!-- START-DESC-STATS -->
|
34 |
-
- **Language**: dan, dansk, Danish
|
35 |
-
- **Domains**: News
|
36 |
- **Number of samples**: 4.59M
|
37 |
- **Number of tokens (Llama 3)**: 1.03B
|
38 |
-
- **Average document length (
|
39 |
<!-- END-DESC-STATS -->
|
40 |
|
41 |
|
|
|
31 |
|
32 |
|
33 |
<!-- START-DESC-STATS -->
|
|
|
|
|
34 |
- **Number of samples**: 4.59M
|
35 |
- **Number of tokens (Llama 3)**: 1.03B
|
36 |
+
- **Average document length (min, max)**: 225.1811458085686 [3, 37.29K]
|
37 |
<!-- END-DESC-STATS -->
|
38 |
|
39 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 3930,
|
3 |
-
"average_document_length": 79360.11628498728,
|
4 |
"number_of_tokens": 100841366,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 3930,
|
|
|
3 |
"number_of_tokens": 100841366,
|
4 |
+
"min_length_tokens": 8,
|
5 |
+
"max_length_tokens": 222729,
|
6 |
+
"number_of_characters": 311885257,
|
7 |
+
"min_length_characters": 14,
|
8 |
+
"max_length_characters": 688878
|
9 |
}
|
@@ -32,11 +32,9 @@ The europarl is a corpus of parallel text in 11 languages from the proceedings o
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
35 |
-
- **Language**: dan, dansk, Danish
|
36 |
-
- **Domains**: Conversation, Spoken
|
37 |
- **Number of samples**: 3.93K
|
38 |
- **Number of tokens (Llama 3)**: 100.84M
|
39 |
-
- **Average document length (
|
40 |
<!-- END-DESC-STATS -->
|
41 |
|
42 |
|
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
|
|
|
|
35 |
- **Number of samples**: 3.93K
|
36 |
- **Number of tokens (Llama 3)**: 100.84M
|
37 |
+
- **Average document length (min, max)**: 25.66K [8, 222.73K]
|
38 |
<!-- END-DESC-STATS -->
|
39 |
|
40 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 1002,
|
3 |
-
"average_document_length": 87627.37025948103,
|
4 |
"number_of_tokens": 31367665,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 1002,
|
|
|
3 |
"number_of_tokens": 31367665,
|
4 |
+
"min_length_tokens": 2144,
|
5 |
+
"max_length_tokens": 1723932,
|
6 |
+
"number_of_characters": 87802625,
|
7 |
+
"min_length_characters": 6439,
|
8 |
+
"max_length_characters": 2979072
|
9 |
}
|
@@ -26,11 +26,9 @@ The dataset is designed for training and evaluating automatic text summarization
|
|
26 |
## Dataset Description
|
27 |
|
28 |
<!-- START-DESC-STATS -->
|
29 |
-
- **Language**: dan, dansk, Danish
|
30 |
-
- **Domains**: Legal
|
31 |
- **Number of samples**: 1.00K
|
32 |
- **Number of tokens (Llama 3)**: 31.37M
|
33 |
-
- **Average document length (
|
34 |
<!-- END-DESC-STATS -->
|
35 |
|
36 |
|
|
|
26 |
## Dataset Description
|
27 |
|
28 |
<!-- START-DESC-STATS -->
|
|
|
|
|
29 |
- **Number of samples**: 1.00K
|
30 |
- **Number of tokens (Llama 3)**: 31.37M
|
31 |
+
- **Average document length (min, max)**: 31.31K [2.14K, 1.72M]
|
32 |
<!-- END-DESC-STATS -->
|
33 |
|
34 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 443,
|
3 |
-
"average_document_length": 490101.9300225734,
|
4 |
"number_of_tokens": 50335291,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 443,
|
|
|
3 |
"number_of_tokens": 50335291,
|
4 |
+
"min_length_tokens": 209,
|
5 |
+
"max_length_tokens": 595325,
|
6 |
+
"number_of_characters": 217115155,
|
7 |
+
"min_length_characters": 576,
|
8 |
+
"max_length_characters": 3791854
|
9 |
}
|
@@ -29,11 +29,9 @@ The publications are authoritative sources of information on Danish fiscal polic
|
|
29 |
## Dataset Description
|
30 |
|
31 |
<!-- START-DESC-STATS -->
|
32 |
-
- **Language**: dan, dansk, Danish
|
33 |
-
- **Domains**: Legal
|
34 |
- **Number of samples**: 443
|
35 |
- **Number of tokens (Llama 3)**: 50.34M
|
36 |
-
- **Average document length (
|
37 |
<!-- END-DESC-STATS -->
|
38 |
|
39 |
|
|
|
29 |
## Dataset Description
|
30 |
|
31 |
<!-- START-DESC-STATS -->
|
|
|
|
|
32 |
- **Number of samples**: 443
|
33 |
- **Number of tokens (Llama 3)**: 50.34M
|
34 |
+
- **Average document length (min, max)**: 113.62K [209, 595.33K]
|
35 |
<!-- END-DESC-STATS -->
|
36 |
|
37 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 1315,
|
3 |
-
"average_document_length": 266745.19163498096,
|
4 |
"number_of_tokens": 114087231,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 1315,
|
|
|
3 |
"number_of_tokens": 114087231,
|
4 |
+
"min_length_tokens": 49,
|
5 |
+
"max_length_tokens": 342318,
|
6 |
+
"number_of_characters": 350769927,
|
7 |
+
"min_length_characters": 110,
|
8 |
+
"max_length_characters": 1041051
|
9 |
}
|
@@ -33,11 +33,9 @@ In the parliament hall, one speaker at a time addresses members of the parliamen
|
|
33 |
|
34 |
|
35 |
<!-- START-DESC-STATS -->
|
36 |
-
- **Language**: dan, dansk, Danish
|
37 |
-
- **Domains**: Conversation, Spoken
|
38 |
- **Number of samples**: 1.31K
|
39 |
- **Number of tokens (Llama 3)**: 114.09M
|
40 |
-
- **Average document length (
|
41 |
<!-- END-DESC-STATS -->
|
42 |
|
43 |
|
|
|
33 |
|
34 |
|
35 |
<!-- START-DESC-STATS -->
|
|
|
|
|
36 |
- **Number of samples**: 1.31K
|
37 |
- **Number of tokens (Llama 3)**: 114.09M
|
38 |
+
- **Average document length (min, max)**: 86.76K [49, 342.32K]
|
39 |
<!-- END-DESC-STATS -->
|
40 |
|
41 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 632,
|
3 |
-
"average_document_length": 46944.920886075946,
|
4 |
"number_of_tokens": 10525393,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 632,
|
|
|
3 |
"number_of_tokens": 10525393,
|
4 |
+
"min_length_tokens": 100,
|
5 |
+
"max_length_tokens": 453718,
|
6 |
+
"number_of_characters": 29669190,
|
7 |
+
"min_length_characters": 298,
|
8 |
+
"max_length_characters": 1285256
|
9 |
}
|
@@ -31,11 +31,9 @@ The project is scheduled for completion in 2030 and will comprise 1,000 individu
|
|
31 |
|
32 |
|
33 |
<!-- START-DESC-STATS -->
|
34 |
-
- **Language**: dan, dansk, Danish
|
35 |
-
- **Domains**: Books
|
36 |
- **Number of samples**: 632
|
37 |
- **Number of tokens (Llama 3)**: 10.53M
|
38 |
-
- **Average document length (
|
39 |
<!-- END-DESC-STATS -->
|
40 |
|
41 |
|
|
|
31 |
|
32 |
|
33 |
<!-- START-DESC-STATS -->
|
|
|
|
|
34 |
- **Number of samples**: 632
|
35 |
- **Number of tokens (Llama 3)**: 10.53M
|
36 |
+
- **Average document length (min, max)**: 16.65K [100, 453.72K]
|
37 |
<!-- END-DESC-STATS -->
|
38 |
|
39 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 66,
|
3 |
-
"average_document_length": 290147.9393939394,
|
4 |
"number_of_tokens": 6763317,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 66,
|
|
|
3 |
"number_of_tokens": 6763317,
|
4 |
+
"min_length_tokens": 7915,
|
5 |
+
"max_length_tokens": 250511,
|
6 |
+
"number_of_characters": 19149764,
|
7 |
+
"min_length_characters": 24572,
|
8 |
+
"max_length_characters": 713986
|
9 |
}
|
@@ -30,11 +30,9 @@ Project Gutenberg is an online library of free eBooks. Project Gutenberg was the
|
|
30 |
|
31 |
|
32 |
<!-- START-DESC-STATS -->
|
33 |
-
- **Language**: dan, dansk, Danish
|
34 |
-
- **Domains**: Books
|
35 |
- **Number of samples**: 66
|
36 |
- **Number of tokens (Llama 3)**: 6.76M
|
37 |
-
- **Average document length (
|
38 |
<!-- END-DESC-STATS -->
|
39 |
|
40 |
|
|
|
30 |
|
31 |
|
32 |
<!-- START-DESC-STATS -->
|
|
|
|
|
33 |
- **Number of samples**: 66
|
34 |
- **Number of tokens (Llama 3)**: 6.76M
|
35 |
+
- **Average document length (min, max)**: 102.47K [7.92K, 250.51K]
|
36 |
<!-- END-DESC-STATS -->
|
37 |
|
38 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 23996,
|
3 |
-
"average_document_length": 3329.0515919319887,
|
4 |
"number_of_tokens": 27066716,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 23996,
|
|
|
3 |
"number_of_tokens": 27066716,
|
4 |
+
"min_length_tokens": 4,
|
5 |
+
"max_length_tokens": 51033,
|
6 |
+
"number_of_characters": 79883922,
|
7 |
+
"min_length_characters": 4,
|
8 |
+
"max_length_characters": 152339
|
9 |
}
|
@@ -34,11 +34,9 @@ Martin Sundahl Laursen and Thiusius R. Savarimuthu from the University of Southe
|
|
34 |
## Dataset Description
|
35 |
|
36 |
<!-- START-DESC-STATS -->
|
37 |
-
- **Language**: dan, dansk, Danish
|
38 |
-
- **Domains**: Medical, Encyclopedic
|
39 |
- **Number of samples**: 24.00K
|
40 |
- **Number of tokens (Llama 3)**: 27.07M
|
41 |
-
- **Average document length (
|
42 |
<!-- END-DESC-STATS -->
|
43 |
|
44 |
|
|
|
34 |
## Dataset Description
|
35 |
|
36 |
<!-- START-DESC-STATS -->
|
|
|
|
|
37 |
- **Number of samples**: 24.00K
|
38 |
- **Number of tokens (Llama 3)**: 27.07M
|
39 |
+
- **Average document length (min, max)**: 1.13K [4, 51.03K]
|
40 |
<!-- END-DESC-STATS -->
|
41 |
|
42 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 14342,
|
3 |
-
"average_document_length": 83232.81209036396,
|
4 |
"number_of_tokens": 389318703,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 14342,
|
|
|
3 |
"number_of_tokens": 389318703,
|
4 |
+
"min_length_tokens": 3,
|
5 |
+
"max_length_tokens": 9812841,
|
6 |
+
"number_of_characters": 1193724991,
|
7 |
+
"min_length_characters": 2,
|
8 |
+
"max_length_characters": 30324298
|
9 |
}
|
@@ -32,11 +32,9 @@ Its inclusion as training data for large language models have multiple times rea
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
35 |
-
- **Language**: dan, dansk, Danish
|
36 |
-
- **Domains**: Social Media
|
37 |
- **Number of samples**: 14.34K
|
38 |
- **Number of tokens (Llama 3)**: 389.32M
|
39 |
-
- **Average document length (
|
40 |
<!-- END-DESC-STATS -->
|
41 |
|
42 |
|
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
|
|
|
|
35 |
- **Number of samples**: 14.34K
|
36 |
- **Number of tokens (Llama 3)**: 389.32M
|
37 |
+
- **Average document length (min, max)**: 27.15K [3, 9.81M]
|
38 |
<!-- END-DESC-STATS -->
|
39 |
|
40 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 42,
|
3 |
-
"average_document_length": 254893.66666666666,
|
4 |
"number_of_tokens": 3549181,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 42,
|
|
|
3 |
"number_of_tokens": 3549181,
|
4 |
+
"min_length_tokens": 15474,
|
5 |
+
"max_length_tokens": 271790,
|
6 |
+
"number_of_characters": 10705534,
|
7 |
+
"min_length_characters": 47146,
|
8 |
+
"max_length_characters": 819703
|
9 |
}
|
@@ -32,11 +32,9 @@ The works of the Danish author and poet, [Johannes V. Jensen](https://da.wikiped
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
35 |
-
- **Language**: dan, dansk, Danish
|
36 |
-
- **Domains**: Books
|
37 |
- **Number of samples**: 42
|
38 |
- **Number of tokens (Llama 3)**: 3.55M
|
39 |
-
- **Average document length (
|
40 |
<!-- END-DESC-STATS -->
|
41 |
|
42 |
|
|
|
32 |
|
33 |
|
34 |
<!-- START-DESC-STATS -->
|
|
|
|
|
35 |
- **Number of samples**: 42
|
36 |
- **Number of tokens (Llama 3)**: 3.55M
|
37 |
+
- **Average document length (min, max)**: 84.50K [15.47K, 271.79K]
|
38 |
<!-- END-DESC-STATS -->
|
39 |
|
40 |
|
@@ -38,7 +38,7 @@ def convert_sample(example: dict) -> dict:
|
|
38 |
# "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.",
|
39 |
# }
|
40 |
date = datetime.fromisoformat(example["date"])
|
41 |
-
text = f"{example[
|
42 |
|
43 |
new_example = dict(
|
44 |
text_new=text,
|
|
|
38 |
# "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.",
|
39 |
# }
|
40 |
date = datetime.fromisoformat(example["date"])
|
41 |
+
text = f"{example['title']}\n\npubliceret: {date}\n{example['text']}"
|
42 |
|
43 |
new_example = dict(
|
44 |
text_new=text,
|
@@ -1 +0,0 @@
|
|
1 |
-
{"number_of_samples": 11887, "average_document_length": 1405.6435601918063, "number_of_tokens": 5688613, "language": "dan, dansk, Danish", "revision": "6a88cbd06a598259a4879ee118c8ab1843c500ff"}
|
|
|
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 858,
|
3 |
-
"average_document_length": 375749.0874125874,
|
4 |
"number_of_tokens": 113742425,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 858,
|
|
|
3 |
"number_of_tokens": 113742425,
|
4 |
+
"min_length_tokens": 6671,
|
5 |
+
"max_length_tokens": 720171,
|
6 |
+
"number_of_characters": 322392717,
|
7 |
+
"min_length_characters": 18626,
|
8 |
+
"max_length_characters": 2074215
|
9 |
}
|
@@ -28,11 +28,9 @@ Additional information about this dataset can be found on their [project page](h
|
|
28 |
## Dataset Description
|
29 |
|
30 |
<!-- START-DESC-STATS -->
|
31 |
-
- **Language**: dan, dansk, Danish
|
32 |
-
- **Domains**: Books
|
33 |
- **Number of samples**: 858
|
34 |
- **Number of tokens (Llama 3)**: 113.74M
|
35 |
-
- **Average document length (
|
36 |
<!-- END-DESC-STATS -->
|
37 |
|
38 |
|
|
|
28 |
## Dataset Description
|
29 |
|
30 |
<!-- START-DESC-STATS -->
|
|
|
|
|
31 |
- **Number of samples**: 858
|
32 |
- **Number of tokens (Llama 3)**: 113.74M
|
33 |
+
- **Average document length (min, max)**: 132.57K [6.67K, 720.17K]
|
34 |
<!-- END-DESC-STATS -->
|
35 |
|
36 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 2120,
|
3 |
-
"average_document_length": 228188.12405660376,
|
4 |
"number_of_tokens": 127379475,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 2120,
|
|
|
3 |
"number_of_tokens": 127379475,
|
4 |
+
"min_length_tokens": 54,
|
5 |
+
"max_length_tokens": 1436111,
|
6 |
+
"number_of_characters": 483758823,
|
7 |
+
"min_length_characters": 148,
|
8 |
+
"max_length_characters": 18428593
|
9 |
}
|
@@ -29,11 +29,9 @@ This can be decisions specifically targeted at the environment such as water pla
|
|
29 |
## Dataset Description
|
30 |
|
31 |
<!-- START-DESC-STATS -->
|
32 |
-
- **Language**: dan, dansk, Danish
|
33 |
-
- **Domains**: Web
|
34 |
- **Number of samples**: 2.12K
|
35 |
- **Number of tokens (Llama 3)**: 127.38M
|
36 |
-
- **Average document length (
|
37 |
<!-- END-DESC-STATS -->
|
38 |
|
39 |
|
|
|
29 |
## Dataset Description
|
30 |
|
31 |
<!-- START-DESC-STATS -->
|
|
|
|
|
32 |
- **Number of samples**: 2.12K
|
33 |
- **Number of tokens (Llama 3)**: 127.38M
|
34 |
+
- **Average document length (min, max)**: 60.08K [54, 1.44M]
|
35 |
<!-- END-DESC-STATS -->
|
36 |
|
37 |
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 129,
|
3 |
-
"average_document_length": 6832.387596899225,
|
4 |
"number_of_tokens": 286677,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 129,
|
|
|
3 |
"number_of_tokens": 286677,
|
4 |
+
"min_length_tokens": 228,
|
5 |
+
"max_length_tokens": 3952,
|
6 |
+
"number_of_characters": 881378,
|
7 |
+
"min_length_characters": 664,
|
8 |
+
"max_length_characters": 12118
|
9 |
}
|
@@ -29,11 +29,9 @@ Danish speeches from 1930-2022.
|
|
29 |
|
30 |
|
31 |
<!-- START-DESC-STATS -->
|
32 |
-
- **Language**: dan, dansk, Danish
|
33 |
-
- **Domains**: Conversation
|
34 |
- **Number of samples**: 129
|
35 |
- **Number of tokens (Llama 3)**: 286.68K
|
36 |
-
- **Average document length (
|
37 |
<!-- END-DESC-STATS -->
|
38 |
|
39 |
|
|
|
29 |
|
30 |
|
31 |
<!-- START-DESC-STATS -->
|
|
|
|
|
32 |
- **Number of samples**: 129
|
33 |
- **Number of tokens (Llama 3)**: 286.68K
|
34 |
+
- **Average document length (min, max)**: 2.22K [228, 3.95K]
|
35 |
<!-- END-DESC-STATS -->
|
36 |
|
37 |
|
@@ -147,7 +147,7 @@ def dynaword_format(
|
|
147 |
"license": license,
|
148 |
"domain": domain,
|
149 |
"metadata": {
|
150 |
-
"source-pretty": f"Norwegian Colossal Corpus ({re.sub(
|
151 |
"source-type": doc_type,
|
152 |
},
|
153 |
}
|
@@ -176,9 +176,9 @@ def log_pre_filter_lang_data(
|
|
176 |
logger.info(f"Documents of {source}:")
|
177 |
logger.info(f"NO: {no_docs}, {no_perc}% ; DA: {da_docs}, {da_perc}%")
|
178 |
logger.info("After language confidence filtering:")
|
179 |
-
logger.info(f"DA: {f_length}, lost: {100-f_perc}%")
|
180 |
logger.info("Total document change:")
|
181 |
-
logger.info(f"{all_docs} -> {f_length}, loss: {100-f_total_perc}%")
|
182 |
|
183 |
|
184 |
def get_var_name(var):
|
@@ -272,7 +272,7 @@ def quality_checks(ds: Dataset) -> Dataset:
|
|
272 |
|
273 |
long_texts = ds_f.filter(too_long_filter, num_proc=None)
|
274 |
if len(long_texts["id"]) > 0:
|
275 |
-
logger.info(f"{len(long_texts[
|
276 |
for id in long_texts["id"]:
|
277 |
logger.info(f"id: {id}")
|
278 |
else:
|
|
|
147 |
"license": license,
|
148 |
"domain": domain,
|
149 |
"metadata": {
|
150 |
+
"source-pretty": f"Norwegian Colossal Corpus ({re.sub('ncc_', '', source)})",
|
151 |
"source-type": doc_type,
|
152 |
},
|
153 |
}
|
|
|
176 |
logger.info(f"Documents of {source}:")
|
177 |
logger.info(f"NO: {no_docs}, {no_perc}% ; DA: {da_docs}, {da_perc}%")
|
178 |
logger.info("After language confidence filtering:")
|
179 |
+
logger.info(f"DA: {f_length}, lost: {100 - f_perc}%")
|
180 |
logger.info("Total document change:")
|
181 |
+
logger.info(f"{all_docs} -> {f_length}, loss: {100 - f_total_perc}%")
|
182 |
|
183 |
|
184 |
def get_var_name(var):
|
|
|
272 |
|
273 |
long_texts = ds_f.filter(too_long_filter, num_proc=None)
|
274 |
if len(long_texts["id"]) > 0:
|
275 |
+
logger.info(f"{len(long_texts['id'])} Long texts (>~1e5 tokens) found")
|
276 |
for id in long_texts["id"]:
|
277 |
logger.info(f"id: {id}")
|
278 |
else:
|
@@ -1,6 +1,9 @@
|
|
1 |
{
|
2 |
"number_of_samples": 4902,
|
3 |
-
"average_document_length": 314064.2513259894,
|
4 |
"number_of_tokens": 531969285,
|
5 |
-
"
|
|
|
|
|
|
|
|
|
6 |
}
|
|
|
1 |
{
|
2 |
"number_of_samples": 4902,
|
|
|
3 |
"number_of_tokens": 531969285,
|
4 |
+
"min_length_tokens": 58,
|
5 |
+
"max_length_tokens": 383508,
|
6 |
+
"number_of_characters": 1539542960,
|
7 |
+
"min_length_characters": 153,
|
8 |
+
"max_length_characters": 1000000
|
9 |
}
|