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  1. README.md +21 -7
  2. data/adl/adl.md +0 -1
  3. data/adl/descriptive_stats.json +1 -1
  4. data/ai-aktindsigt/ai-aktindsigt.md +0 -1
  5. data/ai-aktindsigt/descriptive_stats.json +1 -1
  6. data/botxt/botxt.md +0 -1
  7. data/botxt/descriptive_stats.json +1 -1
  8. data/cellar/cellar.md +0 -1
  9. data/cellar/descriptive_stats.json +1 -1
  10. data/dannet/dannet.md +0 -1
  11. data/dannet/descriptive_stats.json +1 -1
  12. data/danske-taler/danske-taler.md +1 -2
  13. data/danske-taler/descriptive_stats.json +1 -1
  14. data/depbank/depbank.md +0 -1
  15. data/depbank/descriptive_stats.json +1 -1
  16. data/ep/descriptive_stats.json +1 -1
  17. data/ep/ep.md +0 -1
  18. data/eur-lex-sum-da/descriptive_stats.json +1 -1
  19. data/eur-lex-sum-da/eur-lex-sum-da.md +0 -1
  20. data/fm-udgivelser/descriptive_stats.json +1 -1
  21. data/fm-udgivelser/fm-udgivelser.md +0 -1
  22. data/ft/descriptive_stats.json +1 -1
  23. data/ft/ft.md +0 -1
  24. data/gutenberg/descriptive_stats.json +1 -1
  25. data/gutenberg/gutenberg.md +0 -1
  26. data/hest/descriptive_stats.json +1 -1
  27. data/hest/hest.md +0 -1
  28. data/jvj/descriptive_stats.json +1 -1
  29. data/jvj/jvj.md +0 -1
  30. data/memo/descriptive_stats.json +1 -1
  31. data/memo/memo.md +0 -1
  32. data/miljoeportalen/descriptive_stats.json +1 -1
  33. data/miljoeportalen/miljoeportalen.md +0 -1
  34. data/naat/descriptive_stats.json +1 -1
  35. data/naat/naat.md +0 -1
  36. data/ncc_books/descriptive_stats.json +1 -2
  37. data/ncc_books/images/dist_document_length.png +2 -2
  38. data/ncc_books/ncc_books.md +13 -19
  39. data/ncc_maalfrid/descriptive_stats.json +1 -2
  40. data/ncc_maalfrid/images/dist_document_length.png +2 -2
  41. data/ncc_maalfrid/ncc_maalfrid.md +13 -19
  42. data/ncc_newspaper/descriptive_stats.json +1 -2
  43. data/ncc_newspaper/images/dist_document_length.png +2 -2
  44. data/ncc_newspaper/ncc_newspaper.md +12 -20
  45. data/ncc_parliament/descriptive_stats.json +1 -2
  46. data/ncc_parliament/images/dist_document_length.png +2 -2
  47. data/ncc_parliament/ncc_parliament.md +14 -20
  48. data/nordjyllandnews/descriptive_stats.json +1 -1
  49. data/nordjyllandnews/nordjyllandnews.md +0 -1
  50. data/nota/descriptive_stats.json +1 -1
README.md CHANGED
@@ -201,9 +201,10 @@ https://github.com/huggingface/datasets/blob/main/templates/README_guide.md
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  - [Source Data](#source-data)
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  - [Dataset Statistics](#dataset-statistics)
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  - [Additional Information](#additional-information)
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- - [Contributing to the dataset](#contributing-to-the-dataset)
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- - [Citation Information](#citation-information)
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- - [License information](#license-information)
 
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  - [Notice and takedown policy](#notice-and-takedown-policy)
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  ## Dataset Description
@@ -420,17 +421,30 @@ The following plot show the domains distribution of the following within the dyn
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  ## Additional Information
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- ### Contributing to the dataset
 
 
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  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)
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- ### Citation Information
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  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.
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- ### License information
 
 
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- The license for each constituent dataset is supplied in the [Source data](#source-data) table. This license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under CC-0.
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  ### Notice and takedown policy
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  We redistribute files shared with us under a license permitting such redistribution. If you have concerns about the licensing of these files, please [contact us](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new). If you consider that the data contains material that infringe your copyright, please:
 
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  - [Source Data](#source-data)
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  - [Dataset Statistics](#dataset-statistics)
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  - [Additional Information](#additional-information)
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+ - [](#)
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+ - [Contributing to the dataset](#contributing-to-the-dataset)
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+ - [Citation Information](#citation-information)
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+ - [License information](#license-information)
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  - [Notice and takedown policy](#notice-and-takedown-policy)
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  ## Dataset Description
 
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  ## Additional Information
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+ ##
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+
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+ ## Contributing to the dataset
427
 
428
  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)
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430
+ ## Citation Information
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+ Danish dynaword does not currently have an
433
+ ```
434
+ @misc{enevoldsen2023dynaword,
435
+ title = {Dynaword: From One-shot to Continuously Developed Datasets},
436
+ author = {Enevoldsen, Kenneth and Jensen, Kristian N{\o}rgaaard and Kostkan, Jan and Szab\'{o}, Bal\'{a}zs and Vahlstrup, Peter and Dalum, Per M{\o}ldrup and Elliot, Desmond and Nielbo, Kristoffer},
437
+ year = {2023},
438
+ howpublished = {Hugging Face Dataset},
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+ url = {https://huggingface.co/datasets/danish-foundation-models/danish-dynaword}
440
+ }
441
+ ```
442
  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.
443
 
444
+ ## License information
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+
446
+ The license for each constituent dataset is supplied in the [Source data](#source-data) table. This license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under [CC-0](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
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  ### Notice and takedown policy
450
  We redistribute files shared with us under a license permitting such redistribution. If you have concerns about the licensing of these files, please [contact us](https://huggingface.co/datasets/danish-foundation-models/danish-dynaword/discussions/new). If you consider that the data contains material that infringe your copyright, please:
data/adl/adl.md CHANGED
@@ -47,7 +47,6 @@ An example from the dataset looks as follows.
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  "id": "adl_aakjaer06val",
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  "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]",
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  "source": "adl",
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- "domain": "Wiki & Books",
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  "added": "2020-09-14",
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  "created": "1700-01-01, 2022-01-01",
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  "token_count": 439908
 
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  "id": "adl_aakjaer06val",
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  "text": "SAMLEDE VÆRKER\n\nJEPPE AAKJÆR GYLDENDALSKE BOGHANDEL - NORDISK FORLAG KJØBENHAVN OG\nKRISTIANIA 1919 0[...]",
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  "source": "adl",
 
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  "added": "2020-09-14",
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  "created": "1700-01-01, 2022-01-01",
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  "token_count": 439908
data/adl/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 498,
3
  "average_document_length": 324932.2429718876,
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  "number_of_tokens": 58493311,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 498,
3
  "average_document_length": 324932.2429718876,
4
  "number_of_tokens": 58493311,
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+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/ai-aktindsigt/ai-aktindsigt.md CHANGED
@@ -45,7 +45,6 @@ An example from the dataset looks as follows.
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  "id": "ai-aktindsigt_0",
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  "text": "Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000",
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  "source": "ai-aktindsigt",
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- "domain": "Web",
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  "added": "2025-03-24",
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  "created": "2010-01-01, 2024-03-18",
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  "token_count": 29
 
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  "id": "ai-aktindsigt_0",
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  "text": "Vallensbæk Stationstorv 100 2665 Vallensbæk Strand Telefon: +45 4797 4000",
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  "source": "ai-aktindsigt",
 
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  "added": "2025-03-24",
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  "created": "2010-01-01, 2024-03-18",
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  "token_count": 29
data/ai-aktindsigt/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 200914,
3
  "average_document_length": 2030.7490916511542,
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  "number_of_tokens": 139234696,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 200914,
3
  "average_document_length": 2030.7490916511542,
4
  "number_of_tokens": 139234696,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/botxt/botxt.md CHANGED
@@ -49,7 +49,6 @@ An example from the dataset looks as follows.
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  "id": "botxt_0000040",
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  "text": "Ræua-Lârs\n\nRæua-Lârs å hans Konna, Stina, bode uda i Torpabakkana. Hanj hed nok æjla Lârs\nNielsen, m[...]",
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  "source": "botxt",
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- "domain": "Other",
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  "added": "2024-05-16",
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  "created": "2000-01-01, 2022-01-01",
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  "token_count": 7229
 
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  "id": "botxt_0000040",
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  "text": "Ræua-Lârs\n\nRæua-Lârs å hans Konna, Stina, bode uda i Torpabakkana. Hanj hed nok æjla Lârs\nNielsen, m[...]",
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  "source": "botxt",
 
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  "added": "2024-05-16",
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  "created": "2000-01-01, 2022-01-01",
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  "token_count": 7229
data/botxt/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 106,
3
  "average_document_length": 18972.415094339623,
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  "number_of_tokens": 847973,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 106,
3
  "average_document_length": 18972.415094339623,
4
  "number_of_tokens": 847973,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/cellar/cellar.md CHANGED
@@ -43,7 +43,6 @@ An example from the dataset looks as follows.
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  "id": "cellar_0",
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  "text": "\n\n\n\n© Европейски съюз, 2017 г.\n\nВъзпроизвеждането е разрешено при позоваване на оригинала.\n\n© Unión [...]",
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  "source": "cellar",
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- "domain": "Legal",
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  "added": "2025-03-25",
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  "created": "2024-01-01, 2026-01-01",
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  "token_count": 87018
 
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  "id": "cellar_0",
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  "text": "\n\n\n\n© Европейски съюз, 2017 г.\n\nВъзпроизвеждането е разрешено при позоваване на оригинала.\n\n© Unión [...]",
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  "source": "cellar",
 
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  "added": "2025-03-25",
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  "created": "2024-01-01, 2026-01-01",
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  "token_count": 87018
data/cellar/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 63399,
3
  "average_document_length": 60987.84318364643,
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  "number_of_tokens": 1152074881,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 63399,
3
  "average_document_length": 60987.84318364643,
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  "number_of_tokens": 1152074881,
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+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/dannet/dannet.md CHANGED
@@ -50,7 +50,6 @@ An example from the dataset looks as follows.
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  "id": "dannet_46506",
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  "text": "Når fodboldholdet fra 1. division i Ikast spiller hjemmekampe, lyder råbet ud over Ikast Stadion: We[...]",
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  "source": "dannet",
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- "domain": "dannet",
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  "added": "2020-09-24",
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  "created": "2000-01-01, 2022-01-01",
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  "token_count": 50
 
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  "id": "dannet_46506",
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  "text": "Når fodboldholdet fra 1. division i Ikast spiller hjemmekampe, lyder råbet ud over Ikast Stadion: We[...]",
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  "source": "dannet",
 
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  "added": "2020-09-24",
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  "created": "2000-01-01, 2022-01-01",
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  "token_count": 50
data/dannet/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 47603,
3
  "average_document_length": 90.87914627229377,
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  "number_of_tokens": 1479471,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 47603,
3
  "average_document_length": 90.87914627229377,
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  "number_of_tokens": 1479471,
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+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/danske-taler/danske-taler.md CHANGED
@@ -36,7 +36,7 @@ Learn more about danske taler by reading their [about us](https://www.dansketale
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  <!-- START-DESC-STATS -->
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  - **Language**: dan, dansk, Danish
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- - **Domains**: Speeches, Spoken
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  - **Number of samples**: 2.66K
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  - **Number of tokens (Llama 3)**: 8.23M
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  - **Average document length (characters)**: 9446.26
@@ -53,7 +53,6 @@ An example from the dataset looks as follows.
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  "id": "danske-taler_278",
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  "text": "Den 1. august i år var der forløbet 25 år siden den sidste verdenskrigs udbrud. En måned senere - de[...]",
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  "source": "danske-taler",
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- "domain": "Spoken",
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  "added": "2025-03-29",
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  "created": "1939-09-20, 1939-09-20",
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  "token_count": 14115
 
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  <!-- START-DESC-STATS -->
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  - **Language**: dan, dansk, Danish
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+ - **Domains**: Conversation, Speeches, Spoken
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  - **Number of samples**: 2.66K
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  - **Number of tokens (Llama 3)**: 8.23M
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  - **Average document length (characters)**: 9446.26
 
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  "id": "danske-taler_278",
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  "text": "Den 1. august i år var der forløbet 25 år siden den sidste verdenskrigs udbrud. En måned senere - de[...]",
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  "source": "danske-taler",
 
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  "added": "2025-03-29",
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  "created": "1939-09-20, 1939-09-20",
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  "token_count": 14115
data/danske-taler/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 2658,
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  "average_document_length": 9446.262227238525,
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  "number_of_tokens": 8227947,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 2658,
3
  "average_document_length": 9446.262227238525,
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  "number_of_tokens": 8227947,
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+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/depbank/depbank.md CHANGED
@@ -51,7 +51,6 @@ An example from the dataset looks as follows.
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  "id": "depbank_0375",
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  "text": "\nH.L. Hansen var en usædvanmlig og frodig personlighed. Han skabte \nglæde og munterhed omkring sig o[...]",
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  "source": "depbank",
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- "domain": "Other",
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  "added": "2024-05-16",
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  "created": "2000-01-01, 2022-01-01",
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  "token_count": 389
 
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  "id": "depbank_0375",
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  "text": "\nH.L. Hansen var en usædvanmlig og frodig personlighed. Han skabte \nglæde og munterhed omkring sig o[...]",
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  "source": "depbank",
 
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  "added": "2024-05-16",
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  "created": "2000-01-01, 2022-01-01",
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  "token_count": 389
data/depbank/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 536,
3
  "average_document_length": 1018.8992537313433,
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  "number_of_tokens": 185454,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
2
  "number_of_samples": 536,
3
  "average_document_length": 1018.8992537313433,
4
  "number_of_tokens": 185454,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/ep/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 3930,
3
  "average_document_length": 79360.11628498728,
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  "number_of_tokens": 100841366,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 3930,
3
  "average_document_length": 79360.11628498728,
4
  "number_of_tokens": 100841366,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/ep/ep.md CHANGED
@@ -51,7 +51,6 @@ An example from the dataset looks as follows.
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  "id": "ep_07-02-01-008",
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  "text": "TALER 6703: Jeg har stemt for henstillingen om godkendelse af opdelingsanordninger til beskyttelse a[...]",
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  "source": "ep",
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- "domain": "Conversation",
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  "added": "2019-11-20",
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  "created": "2004-01-01, 2009-01-01",
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  "token_count": 16237
 
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  "id": "ep_07-02-01-008",
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  "text": "TALER 6703: Jeg har stemt for henstillingen om godkendelse af opdelingsanordninger til beskyttelse a[...]",
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  "source": "ep",
 
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  "added": "2019-11-20",
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  "created": "2004-01-01, 2009-01-01",
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  "token_count": 16237
data/eur-lex-sum-da/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 1002,
3
  "average_document_length": 87627.37025948103,
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  "number_of_tokens": 31367665,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 1002,
3
  "average_document_length": 87627.37025948103,
4
  "number_of_tokens": 31367665,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/eur-lex-sum-da/eur-lex-sum-da.md CHANGED
@@ -44,7 +44,6 @@ An example from the dataset looks as follows.
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  "id": "eur-lex-sum-da_0",
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  "text": "21.6.2019\nDA\nDen Europæiske Unions Tidende\nL 166/26\nKOMMISSIONENS DELEGEREDE FORORDNING (EU) 2019/98[...]",
46
  "source": "eur-lex-sum-da",
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- "domain": "Legal",
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  "added": "2025-03-24 00:00:00",
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  "created": "2024-01-01, 2025-01-01",
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  "token_count": 148017
 
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  "id": "eur-lex-sum-da_0",
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  "text": "21.6.2019\nDA\nDen Europæiske Unions Tidende\nL 166/26\nKOMMISSIONENS DELEGEREDE FORORDNING (EU) 2019/98[...]",
46
  "source": "eur-lex-sum-da",
 
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  "added": "2025-03-24 00:00:00",
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  "created": "2024-01-01, 2025-01-01",
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  "token_count": 148017
data/fm-udgivelser/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
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  "number_of_samples": 443,
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  "average_document_length": 490101.9300225734,
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  "number_of_tokens": 50335291,
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- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
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  }
 
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  "number_of_samples": 443,
3
  "average_document_length": 490101.9300225734,
4
  "number_of_tokens": 50335291,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
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  }
data/fm-udgivelser/fm-udgivelser.md CHANGED
@@ -47,7 +47,6 @@ An example from the dataset looks as follows.
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  "id": "fm-udgivelser_0",
48
  "text": "\n\nFinanslov for\n\nfinansåret 2023 Tekst og anmærkninger\n\n§ 1. Dronningen\n\n\n\n\n\n§ 1.\n\nDronningen\n\nTekst[...]",
49
  "source": "fm-udgivelser",
50
- "domain": "Legal",
51
  "added": "2025-03-24",
52
  "created": "2024-01-01, 2026-01-01",
53
  "token_count": 1354
 
47
  "id": "fm-udgivelser_0",
48
  "text": "\n\nFinanslov for\n\nfinansåret 2023 Tekst og anmærkninger\n\n§ 1. Dronningen\n\n\n\n\n\n§ 1.\n\nDronningen\n\nTekst[...]",
49
  "source": "fm-udgivelser",
 
50
  "added": "2025-03-24",
51
  "created": "2024-01-01, 2026-01-01",
52
  "token_count": 1354
data/ft/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 1315,
3
  "average_document_length": 266745.19163498096,
4
  "number_of_tokens": 114087231,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 1315,
3
  "average_document_length": 266745.19163498096,
4
  "number_of_tokens": 114087231,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/ft/ft.md CHANGED
@@ -52,7 +52,6 @@ An example from the dataset looks as follows.
52
  "id": "ft_20121M100",
53
  "text": "TALER 50: Mødet er åbnet. I dag er der følgende anmeldelser: Ministeren for by, bolig og landdistrik[...]",
54
  "source": "ft",
55
- "domain": "Conversation",
56
  "added": "2021-03-28",
57
  "created": "2009-01-01, 2019-01-01",
58
  "token_count": 84355
 
52
  "id": "ft_20121M100",
53
  "text": "TALER 50: Mødet er åbnet. I dag er der følgende anmeldelser: Ministeren for by, bolig og landdistrik[...]",
54
  "source": "ft",
 
55
  "added": "2021-03-28",
56
  "created": "2009-01-01, 2019-01-01",
57
  "token_count": 84355
data/gutenberg/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 66,
3
  "average_document_length": 290147.9393939394,
4
  "number_of_tokens": 6763317,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 66,
3
  "average_document_length": 290147.9393939394,
4
  "number_of_tokens": 6763317,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/gutenberg/gutenberg.md CHANGED
@@ -49,7 +49,6 @@ An example from the dataset looks as follows.
49
  "id": "gutenberg_43899",
50
  "text": "Afskriverens bemærkninger: Åbenlyse trykfejl er rettet\ni denne e-bog, men forfatterens stavning er f[...]",
51
  "source": "gutenberg",
52
- "domain": "Wiki & Books",
53
  "added": "2020-09-12",
54
  "created": "1700-01-01, 2022-01-01",
55
  "token_count": 128423
 
49
  "id": "gutenberg_43899",
50
  "text": "Afskriverens bemærkninger: Åbenlyse trykfejl er rettet\ni denne e-bog, men forfatterens stavning er f[...]",
51
  "source": "gutenberg",
 
52
  "added": "2020-09-12",
53
  "created": "1700-01-01, 2022-01-01",
54
  "token_count": 128423
data/hest/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 14342,
3
  "average_document_length": 83232.81209036396,
4
  "number_of_tokens": 389318703,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 14342,
3
  "average_document_length": 83232.81209036396,
4
  "number_of_tokens": 389318703,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/hest/hest.md CHANGED
@@ -51,7 +51,6 @@ An example from the dataset looks as follows.
51
  "id": "hest_forum112802271280227_0",
52
  "text": "Er den ikke kær? \nJeg kan ikke forstå at der altid er nogle der åbenbart ser alle indlæg her på HN ,[...]",
53
  "source": "hest",
54
- "domain": "Social Media",
55
  "added": "2020-10-05",
56
  "created": "2000-01-01, 2022-01-01",
57
  "token_count": 311
 
51
  "id": "hest_forum112802271280227_0",
52
  "text": "Er den ikke kær? \nJeg kan ikke forstå at der altid er nogle der åbenbart ser alle indlæg her på HN ,[...]",
53
  "source": "hest",
 
54
  "added": "2020-10-05",
55
  "created": "2000-01-01, 2022-01-01",
56
  "token_count": 311
data/jvj/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 42,
3
  "average_document_length": 254893.66666666666,
4
  "number_of_tokens": 3549181,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 42,
3
  "average_document_length": 254893.66666666666,
4
  "number_of_tokens": 3549181,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/jvj/jvj.md CHANGED
@@ -51,7 +51,6 @@ An example from the dataset looks as follows.
51
  "id": "jvj_Jørgine",
52
  "text": "JØRGINE JØRGINE KØBENHAVN HAGE & CLAUSENS FORLAG (J. FR. CLAUSEN) 1926 JOHANNES V. JENSEN COPYRIGHT [...]",
53
  "source": "jvj",
54
- "domain": "Wiki & Books",
55
  "added": "2020-06-26",
56
  "created": "1873-01-01, 1951-01-01",
57
  "token_count": 29393
 
51
  "id": "jvj_Jørgine",
52
  "text": "JØRGINE JØRGINE KØBENHAVN HAGE & CLAUSENS FORLAG (J. FR. CLAUSEN) 1926 JOHANNES V. JENSEN COPYRIGHT [...]",
53
  "source": "jvj",
 
54
  "added": "2020-06-26",
55
  "created": "1873-01-01, 1951-01-01",
56
  "token_count": 29393
data/memo/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 839,
3
  "average_document_length": 32813.50774731824,
4
  "number_of_tokens": 9283194,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 839,
3
  "average_document_length": 32813.50774731824,
4
  "number_of_tokens": 9283194,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/memo/memo.md CHANGED
@@ -52,7 +52,6 @@ An example from the dataset looks as follows.
52
  "id": "1894_Aagaard_UnderligeFyre",
53
  "text": "Underlige Fyre\n\nSkrevet af Oscar Aagaard\nPubliceret 1894 af Gyldendal\n\nFørste kapitel. Argus & co. W[...]",
54
  "source": "memo",
55
- "domain": "Wiki & Books",
56
  "added": "2025-03-08",
57
  "created": "1894-01-01, 1894-12-31",
58
  "token_count": 11058
 
52
  "id": "1894_Aagaard_UnderligeFyre",
53
  "text": "Underlige Fyre\n\nSkrevet af Oscar Aagaard\nPubliceret 1894 af Gyldendal\n\nFørste kapitel. Argus & co. W[...]",
54
  "source": "memo",
 
55
  "added": "2025-03-08",
56
  "created": "1894-01-01, 1894-12-31",
57
  "token_count": 11058
data/miljoeportalen/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 2120,
3
  "average_document_length": 228188.12405660376,
4
  "number_of_tokens": 127379475,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 2120,
3
  "average_document_length": 228188.12405660376,
4
  "number_of_tokens": 127379475,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/miljoeportalen/miljoeportalen.md CHANGED
@@ -47,7 +47,6 @@ An example from the dataset looks as follows.
47
  "id": "miljoeportalen_0",
48
  "text": "Bila110 g 1 101 10 - miljTIL R lj TIL RTIL RøraÆTSHUSKO pp ÆTSHUS KOÆTSHUS Kort\n\nLOKALPLAN NR[...]",
49
  "source": "miljoeportalen",
50
- "domain": "Web",
51
  "added": "2025-03-24",
52
  "created": "2024-01-01, 2025-01-01",
53
  "token_count": 9054
 
47
  "id": "miljoeportalen_0",
48
  "text": "Bila110 g 1 101 10 - miljTIL R lj TIL RTIL RøraÆTSHUSKO pp ÆTSHUS KOÆTSHUS Kort\n\nLOKALPLAN NR[...]",
49
  "source": "miljoeportalen",
 
50
  "added": "2025-03-24",
51
  "created": "2024-01-01, 2025-01-01",
52
  "token_count": 9054
data/naat/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 129,
3
  "average_document_length": 6832.387596899225,
4
  "number_of_tokens": 286677,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 129,
3
  "average_document_length": 6832.387596899225,
4
  "number_of_tokens": 286677,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/naat/naat.md CHANGED
@@ -48,7 +48,6 @@ An example from the dataset looks as follows.
48
  "id": "naat_1958kongfrederikix",
49
  "text": "Naar jeg i aften sender min nytaarshilsen til det danske folk og tænker tilbage paa det aar, der sva[...]",
50
  "source": "naat",
51
- "domain": "Conversation",
52
  "added": "2020-02-11",
53
  "created": "1930-01-01, 2022-01-01",
54
  "token_count": 1059
 
48
  "id": "naat_1958kongfrederikix",
49
  "text": "Naar jeg i aften sender min nytaarshilsen til det danske folk og tænker tilbage paa det aar, der sva[...]",
50
  "source": "naat",
 
51
  "added": "2020-02-11",
52
  "created": "1930-01-01, 2022-01-01",
53
  "token_count": 1059
data/ncc_books/descriptive_stats.json CHANGED
@@ -2,6 +2,5 @@
2
  "number_of_samples": 4902,
3
  "average_document_length": 314064.2513259894,
4
  "number_of_tokens": 531969285,
5
- "language": "dan, dansk, Danish",
6
- "revision": "da633eaca923cc25686bda59a41369694597baac"
7
  }
 
2
  "number_of_samples": 4902,
3
  "average_document_length": 314064.2513259894,
4
  "number_of_tokens": 531969285,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
 
6
  }
data/ncc_books/images/dist_document_length.png CHANGED

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Git LFS Details

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data/ncc_books/ncc_books.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (books)
3
  language:
4
- - da
5
  license: cc0-1.0
6
  license_name: CC0 1.0
7
  task_categories:
8
- - text-generation
9
- - fill-mask
10
  task_ids:
11
- - language-modeling
12
  domains:
13
  - Books
14
  ---
@@ -26,6 +26,7 @@ The Norwegian Colossal Corpus is a collection of multiple smaller Norwegian corp
26
 
27
  <!-- START-DESC-STATS -->
28
  - **Language**: dan, dansk, Danish
 
29
  - **Number of samples**: 4.90K
30
  - **Number of tokens (Llama 3)**: 531.97M
31
  - **Average document length (characters)**: 314064.25
@@ -37,17 +38,12 @@ An example from the dataset looks as follows.
37
  <!-- START-SAMPLE -->
38
  ```py
39
  {
40
- "text": "P. FR. RIST. OLAF RYES SAGA. OPTEGNELSER, DAGB�GER OG BREVE. DET NORDISKE FORLAG. Denne Bog s�ger at[...]",
41
- "source": "ncc_books",
42
  "id": "digibok_2009033103031",
 
 
43
  "added": "2025-05-08",
44
  "created": "1899-01-01, 1899-12-31",
45
- "license": "cc0-1.0",
46
- "domain": "Wiki & Books",
47
- "metadata": {
48
- "source-pretty": "Norwegian Colossal Corpus (books)",
49
- "source-type": "books"
50
- }
51
  }
52
  ```
53
 
@@ -55,15 +51,12 @@ An example from the dataset looks as follows.
55
 
56
  An entry in the dataset consists of the following fields:
57
 
 
58
  - `text`(`str`): The content of the document.
59
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
60
- - `id` (`str`): An unique identifier for each document.
61
  - `added` (`str`): An date for when the document was added to this collection.
62
  - `created` (`str`): An date range for when the document was originally created.
63
- - `license` (`str`): The license of the document. The licenses vary according to the source.
64
- - `domain` (`str`): The domain of the source
65
- - `metadata/source-pretty` (`str`): The long form version of the short-form source name
66
- - `metadata/*`: Potentially additional metadata
67
  <!-- END-SAMPLE -->
68
 
69
 
@@ -71,8 +64,9 @@ An entry in the dataset consists of the following fields:
71
  ### Dataset Statistics
72
 
73
  <!-- START-DATASET PLOTS -->
 
74
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
75
- <img>
76
  <!-- END-DATASET PLOTS -->
77
 
78
 
@@ -152,4 +146,4 @@ If you use this source please cite the following articles:
152
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
153
  }
154
 
155
- ```
 
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (books)
3
  language:
4
+ - da
5
  license: cc0-1.0
6
  license_name: CC0 1.0
7
  task_categories:
8
+ - text-generation
9
+ - fill-mask
10
  task_ids:
11
+ - language-modeling
12
  domains:
13
  - Books
14
  ---
 
26
 
27
  <!-- START-DESC-STATS -->
28
  - **Language**: dan, dansk, Danish
29
+ - **Domains**: Books
30
  - **Number of samples**: 4.90K
31
  - **Number of tokens (Llama 3)**: 531.97M
32
  - **Average document length (characters)**: 314064.25
 
38
  <!-- START-SAMPLE -->
39
  ```py
40
  {
 
 
41
  "id": "digibok_2009033103031",
42
+ "text": "P. FR. RIST. OLAF RYES SAGA. OPTEGNELSER, DAGBØGER OG BREVE. DET NORDISKE FORLAG. Denne Bog søger at[...]",
43
+ "source": "ncc_books",
44
  "added": "2025-05-08",
45
  "created": "1899-01-01, 1899-12-31",
46
+ "token_count": 192301
 
 
 
 
 
47
  }
48
  ```
49
 
 
51
 
52
  An entry in the dataset consists of the following fields:
53
 
54
+ - `id` (`str`): An unique identifier for each document.
55
  - `text`(`str`): The content of the document.
56
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
 
57
  - `added` (`str`): An date for when the document was added to this collection.
58
  - `created` (`str`): An date range for when the document was originally created.
59
+ - `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
 
 
 
60
  <!-- END-SAMPLE -->
61
 
62
 
 
64
  ### Dataset Statistics
65
 
66
  <!-- START-DATASET PLOTS -->
67
+ <p align="center">
68
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
69
+ </p>
70
  <!-- END-DATASET PLOTS -->
71
 
72
 
 
146
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
147
  }
148
 
149
+ ```
data/ncc_maalfrid/descriptive_stats.json CHANGED
@@ -2,6 +2,5 @@
2
  "number_of_samples": 33336,
3
  "average_document_length": 2538.4334953203743,
4
  "number_of_tokens": 29260357,
5
- "language": "dan, dansk, Danish",
6
- "revision": "da633eaca923cc25686bda59a41369694597baac"
7
  }
 
2
  "number_of_samples": 33336,
3
  "average_document_length": 2538.4334953203743,
4
  "number_of_tokens": 29260357,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
 
6
  }
data/ncc_maalfrid/images/dist_document_length.png CHANGED

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  • Pointer size: 131 Bytes
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Git LFS Details

  • SHA256: de983db4eb01680dced765c484aedf54cecb12e4318d2318fbd032cdee77c4ef
  • Pointer size: 131 Bytes
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data/ncc_maalfrid/ncc_maalfrid.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (maalfrid)
3
  language:
4
- - da
5
  license: other
6
  license_name: NLOD 2.0
7
  task_categories:
8
- - text-generation
9
- - fill-mask
10
  task_ids:
11
- - language-modeling
12
  domains:
13
  - Web
14
  ---
@@ -25,6 +25,7 @@ Documents are derived from the [Målfrid collection](https://www.nb.no/sprakbank
25
 
26
  <!-- START-DESC-STATS -->
27
  - **Language**: dan, dansk, Danish
 
28
  - **Number of samples**: 33.34K
29
  - **Number of tokens (Llama 3)**: 29.26M
30
  - **Average document length (characters)**: 2538.43
@@ -36,17 +37,12 @@ An example from the dataset looks as follows.
36
  <!-- START-SAMPLE -->
37
  ```py
38
  {
39
- "text": "Anno 1815, Torsdagen den 5te Octbr. blev i Sagen Fuldm�gtig Engebrethsen contra Snedkermester Hansen[...]",
40
- "source": "ncc_maalfrid",
41
  "id": "maalfrid_56267641f4d6de44ab69875a31634e31e68db1a8_166",
 
 
42
  "added": "2025-05-08",
43
  "created": "2021-01-01, 2021-12-31",
44
- "license": "other",
45
- "domain": "Legal",
46
- "metadata": {
47
- "source-pretty": "Norwegian Colossal Corpus (maalfrid)",
48
- "source-type": "maalfrid_arkivverket"
49
- }
50
  }
51
  ```
52
 
@@ -54,15 +50,12 @@ An example from the dataset looks as follows.
54
 
55
  An entry in the dataset consists of the following fields:
56
 
 
57
  - `text`(`str`): The content of the document.
58
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
59
- - `id` (`str`): An unique identifier for each document.
60
  - `added` (`str`): An date for when the document was added to this collection.
61
  - `created` (`str`): An date range for when the document was originally created.
62
- - `license` (`str`): The license of the document. The licenses vary according to the source.
63
- - `domain` (`str`): The domain of the source
64
- - `metadata/source-pretty` (`str`): The long form version of the short-form source name
65
- - `metadata/*`: Potentially additional metadata
66
  <!-- END-SAMPLE -->
67
 
68
 
@@ -70,8 +63,9 @@ An entry in the dataset consists of the following fields:
70
  ### Dataset Statistics
71
 
72
  <!-- START-DATASET PLOTS -->
 
73
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
74
- <img>
75
  <!-- END-DATASET PLOTS -->
76
 
77
  ## Additional Information
@@ -141,4 +135,4 @@ If you use this source please cite the following articles:
141
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
142
  }
143
 
144
- ```
 
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (maalfrid)
3
  language:
4
+ - da
5
  license: other
6
  license_name: NLOD 2.0
7
  task_categories:
8
+ - text-generation
9
+ - fill-mask
10
  task_ids:
11
+ - language-modeling
12
  domains:
13
  - Web
14
  ---
 
25
 
26
  <!-- START-DESC-STATS -->
27
  - **Language**: dan, dansk, Danish
28
+ - **Domains**: Web
29
  - **Number of samples**: 33.34K
30
  - **Number of tokens (Llama 3)**: 29.26M
31
  - **Average document length (characters)**: 2538.43
 
37
  <!-- START-SAMPLE -->
38
  ```py
39
  {
 
 
40
  "id": "maalfrid_56267641f4d6de44ab69875a31634e31e68db1a8_166",
41
+ "text": "Anno 1815, Torsdagen den 5te Octbr. blev i Sagen Fuldmægtig Engebrethsen contra Snedkermester Hansen[...]",
42
+ "source": "ncc_maalfrid",
43
  "added": "2025-05-08",
44
  "created": "2021-01-01, 2021-12-31",
45
+ "token_count": 742
 
 
 
 
 
46
  }
47
  ```
48
 
 
50
 
51
  An entry in the dataset consists of the following fields:
52
 
53
+ - `id` (`str`): An unique identifier for each document.
54
  - `text`(`str`): The content of the document.
55
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
 
56
  - `added` (`str`): An date for when the document was added to this collection.
57
  - `created` (`str`): An date range for when the document was originally created.
58
+ - `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
 
 
 
59
  <!-- END-SAMPLE -->
60
 
61
 
 
63
  ### Dataset Statistics
64
 
65
  <!-- START-DATASET PLOTS -->
66
+ <p align="center">
67
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
68
+ </p>
69
  <!-- END-DATASET PLOTS -->
70
 
71
  ## Additional Information
 
135
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
136
  }
137
 
138
+ ```
data/ncc_newspaper/descriptive_stats.json CHANGED
@@ -2,6 +2,5 @@
2
  "number_of_samples": 5373,
3
  "average_document_length": 571.6929089893914,
4
  "number_of_tokens": 1052890,
5
- "language": "dan, dansk, Danish",
6
- "revision": "ba61a9679152b7e3b74cf8f5b5fb36515c90e8d0"
7
  }
 
2
  "number_of_samples": 5373,
3
  "average_document_length": 571.6929089893914,
4
  "number_of_tokens": 1052890,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
 
6
  }
data/ncc_newspaper/images/dist_document_length.png CHANGED

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data/ncc_newspaper/ncc_newspaper.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (newspaper)
3
  language:
4
- - da
5
  license: cc0-1.0
6
  license_name: CC0 1.0
7
  task_categories:
8
- - text-generation
9
- - fill-mask
10
  task_ids:
11
- - language-modeling
12
  ---
13
 
14
  # Dataset Card for Norwegian Colossal Corpus (newspaper)
@@ -34,18 +34,12 @@ An example from the dataset looks as follows.
34
  <!-- START-SAMPLE -->
35
  ```py
36
  {
 
37
  "text": "STOCKHOLM: Det er kommet melding Ul den svenske turlst forenlng om at de to svenske ljellklatrerne s[...]",
38
  "source": "ncc_newspaper",
39
- "id": "fylkestidendeforsognogfjordane_null_null_19410723_69_54_1_MODSMD_ARTICLE5",
40
- "added": "2025-04-30",
41
  "created": "1941-01-01, 1941-12-31",
42
- "license": "cc0-1.0",
43
- "domain": "News",
44
- "metadata": {
45
- "source-pretty": "Norwegian Colossal Corpus",
46
- "source-type": "newspaper_ocr"
47
- },
48
- "__index_level_0__": 0
49
  }
50
  ```
51
 
@@ -53,15 +47,12 @@ An example from the dataset looks as follows.
53
 
54
  An entry in the dataset consists of the following fields:
55
 
 
56
  - `text`(`str`): The content of the document.
57
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
58
- - `id` (`str`): An unique identifier for each document.
59
  - `added` (`str`): An date for when the document was added to this collection.
60
  - `created` (`str`): An date range for when the document was originally created.
61
- - `license` (`str`): The license of the document. The licenses vary according to the source.
62
- - `domain` (`str`): The domain of the source
63
- - `metadata/source-pretty` (`str`): The long form version of the short-form source name
64
- - `metadata/*`: Potentially additional metadata
65
  <!-- END-SAMPLE -->
66
 
67
 
@@ -69,8 +60,9 @@ An entry in the dataset consists of the following fields:
69
  ### Dataset Statistics
70
 
71
  <!-- START-DATASET PLOTS -->
 
72
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
73
- <img>
74
  <!-- END-DATASET PLOTS -->
75
 
76
  ## Additional Information
@@ -146,4 +138,4 @@ If you use this source please cite the following articles:
146
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
147
  }
148
 
149
- ```
 
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (newspaper)
3
  language:
4
+ - da
5
  license: cc0-1.0
6
  license_name: CC0 1.0
7
  task_categories:
8
+ - text-generation
9
+ - fill-mask
10
  task_ids:
11
+ - language-modeling
12
  ---
13
 
14
  # Dataset Card for Norwegian Colossal Corpus (newspaper)
 
34
  <!-- START-SAMPLE -->
35
  ```py
36
  {
37
+ "id": "fylkestidendeforsognogfjordane_null_null_19410723_69_54_1_MODSMD_ARTICLE5",
38
  "text": "STOCKHOLM: Det er kommet melding Ul den svenske turlst forenlng om at de to svenske ljellklatrerne s[...]",
39
  "source": "ncc_newspaper",
40
+ "added": "2025-05-01",
 
41
  "created": "1941-01-01, 1941-12-31",
42
+ "token_count": 137
 
 
 
 
 
 
43
  }
44
  ```
45
 
 
47
 
48
  An entry in the dataset consists of the following fields:
49
 
50
+ - `id` (`str`): An unique identifier for each document.
51
  - `text`(`str`): The content of the document.
52
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
 
53
  - `added` (`str`): An date for when the document was added to this collection.
54
  - `created` (`str`): An date range for when the document was originally created.
55
+ - `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
 
 
 
56
  <!-- END-SAMPLE -->
57
 
58
 
 
60
  ### Dataset Statistics
61
 
62
  <!-- START-DATASET PLOTS -->
63
+ <p align="center">
64
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
65
+ </p>
66
  <!-- END-DATASET PLOTS -->
67
 
68
  ## Additional Information
 
138
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
139
  }
140
 
141
+ ```
data/ncc_parliament/descriptive_stats.json CHANGED
@@ -2,6 +2,5 @@
2
  "number_of_samples": 1077,
3
  "average_document_length": 910665.4391829155,
4
  "number_of_tokens": 338871082,
5
- "language": "dan, dansk, Danish",
6
- "revision": "27558c01cc7e71f81679c4128b87256acca5b7d5"
7
  }
 
2
  "number_of_samples": 1077,
3
  "average_document_length": 910665.4391829155,
4
  "number_of_tokens": 338871082,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
 
6
  }
data/ncc_parliament/images/dist_document_length.png CHANGED

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Git LFS Details

  • SHA256: 8b87d8a58884e53b291a06bfa10130e4e490b0f56e98fc255e19a6fdb40026de
  • Pointer size: 131 Bytes
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data/ncc_parliament/ncc_parliament.md CHANGED
@@ -1,16 +1,16 @@
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (parliament)
3
  language:
4
- - da
5
  license: other
6
  license_name: NLOD 2.0
7
  task_categories:
8
- - text-generation
9
- - fill-mask
10
  task_ids:
11
- - language-modeling
12
  domains:
13
- - Other
14
  ---
15
 
16
  # Dataset Card for Norwegian Colossal Corpus (parliament)
@@ -25,6 +25,7 @@ The Norwegian Colossal Corpus is a collection of multiple smaller Norwegian corp
25
 
26
  <!-- START-DESC-STATS -->
27
  - **Language**: dan, dansk, Danish
 
28
  - **Number of samples**: 1.08K
29
  - **Number of tokens (Llama 3)**: 338.87M
30
  - **Average document length (characters)**: 910665.44
@@ -36,17 +37,12 @@ An example from the dataset looks as follows.
36
  <!-- START-SAMPLE -->
37
  ```py
38
  {
39
- "text": "Liknes �Aaroot i foranstaaende oversigt over omkostningerne er beregnet til kr. 37 500,00 under foru[...]",
40
- "source": "ncc_parliament",
41
  "id": "digistorting_1906-07_part6_vol-a_part2",
 
 
42
  "added": "2025-05-08",
43
  "created": "2021-01-01, 2021-12-31",
44
- "license": "other",
45
- "domain": "Legal",
46
- "metadata": {
47
- "source-pretty": "Norwegian Colossal Corpus (parliament)",
48
- "source-type": "parliament"
49
- }
50
  }
51
  ```
52
 
@@ -54,15 +50,12 @@ An example from the dataset looks as follows.
54
 
55
  An entry in the dataset consists of the following fields:
56
 
 
57
  - `text`(`str`): The content of the document.
58
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
59
- - `id` (`str`): An unique identifier for each document.
60
  - `added` (`str`): An date for when the document was added to this collection.
61
  - `created` (`str`): An date range for when the document was originally created.
62
- - `license` (`str`): The license of the document. The licenses vary according to the source.
63
- - `domain` (`str`): The domain of the source
64
- - `metadata/source-pretty` (`str`): The long form version of the short-form source name
65
- - `metadata/*`: Potentially additional metadata
66
  <!-- END-SAMPLE -->
67
 
68
 
@@ -70,8 +63,9 @@ An entry in the dataset consists of the following fields:
70
  ### Dataset Statistics
71
 
72
  <!-- START-DATASET PLOTS -->
 
73
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
74
- <img>
75
  <!-- END-DATASET PLOTS -->
76
 
77
  ## Additional Information
@@ -151,4 +145,4 @@ If you use this source please cite the following articles:
151
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
152
  }
153
 
154
- ```
 
1
  ---
2
  pretty_name: Norwegian Colossal Corpus (parliament)
3
  language:
4
+ - da
5
  license: other
6
  license_name: NLOD 2.0
7
  task_categories:
8
+ - text-generation
9
+ - fill-mask
10
  task_ids:
11
+ - language-modeling
12
  domains:
13
+ - Other
14
  ---
15
 
16
  # Dataset Card for Norwegian Colossal Corpus (parliament)
 
25
 
26
  <!-- START-DESC-STATS -->
27
  - **Language**: dan, dansk, Danish
28
+ - **Domains**: Other
29
  - **Number of samples**: 1.08K
30
  - **Number of tokens (Llama 3)**: 338.87M
31
  - **Average document length (characters)**: 910665.44
 
37
  <!-- START-SAMPLE -->
38
  ```py
39
  {
 
 
40
  "id": "digistorting_1906-07_part6_vol-a_part2",
41
+ "text": "Liknes —Aaroot i foranstaaende oversigt over omkostningerne er beregnet til kr. 37 500,00 under foru[...]",
42
+ "source": "ncc_parliament",
43
  "added": "2025-05-08",
44
  "created": "2021-01-01, 2021-12-31",
45
+ "token_count": 360308
 
 
 
 
 
46
  }
47
  ```
48
 
 
50
 
51
  An entry in the dataset consists of the following fields:
52
 
53
+ - `id` (`str`): An unique identifier for each document.
54
  - `text`(`str`): The content of the document.
55
  - `source` (`str`): The source of the document (see [Source Data](#source-data)).
 
56
  - `added` (`str`): An date for when the document was added to this collection.
57
  - `created` (`str`): An date range for when the document was originally created.
58
+ - `token_count` (`int`): The number of tokens in the sample computed using the Llama 8B tokenizer
 
 
 
59
  <!-- END-SAMPLE -->
60
 
61
 
 
63
  ### Dataset Statistics
64
 
65
  <!-- START-DATASET PLOTS -->
66
+ <p align="center">
67
  <img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
68
+ </p>
69
  <!-- END-DATASET PLOTS -->
70
 
71
  ## Additional Information
 
145
  we show that building high-quality models within a memory institution using somewhat noisy optical character recognition (OCR) content is feasible, and we hope to pave the way for other memory institutions to follow.},
146
  }
147
 
148
+ ```
data/nordjyllandnews/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 75215,
3
  "average_document_length": 1540.2928006381705,
4
  "number_of_tokens": 37904580,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 75215,
3
  "average_document_length": 1540.2928006381705,
4
  "number_of_tokens": 37904580,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }
data/nordjyllandnews/nordjyllandnews.md CHANGED
@@ -48,7 +48,6 @@ An example from the dataset looks as follows.
48
  "id": "nordjyllandnews_0",
49
  "text": "Lav et referat af nedenstående tekst:\n\nTekst:\nOpdatering: Manden er nu fundet af Nordjyllands Politi[...]",
50
  "source": "nordjyllandnews",
51
- "domain": "News",
52
  "added": "2024-12-16",
53
  "created": "2000-01-01, 2024-01-01",
54
  "token_count": 628
 
48
  "id": "nordjyllandnews_0",
49
  "text": "Lav et referat af nedenstående tekst:\n\nTekst:\nOpdatering: Manden er nu fundet af Nordjyllands Politi[...]",
50
  "source": "nordjyllandnews",
 
51
  "added": "2024-12-16",
52
  "created": "2000-01-01, 2024-01-01",
53
  "token_count": 628
data/nota/descriptive_stats.json CHANGED
@@ -2,5 +2,5 @@
2
  "number_of_samples": 446,
3
  "average_document_length": 38949.7802690583,
4
  "number_of_tokens": 7299012,
5
- "revision": "c0042bbb66ff1cdf03ec8eb4c5b1fda8fcc0e03a"
6
  }
 
2
  "number_of_samples": 446,
3
  "average_document_length": 38949.7802690583,
4
  "number_of_tokens": 7299012,
5
+ "revision": "1546256ca9562ecef403e433276c36770859089e"
6
  }