Datasets:
Tasks:
Text Generation
Formats:
parquet
Sub-tasks:
language-modeling
Languages:
Danish
Size:
1M - 10M
License:
update desc stats
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +21 -7
- data/adl/adl.md +0 -1
- data/adl/descriptive_stats.json +1 -1
- data/ai-aktindsigt/ai-aktindsigt.md +0 -1
- data/ai-aktindsigt/descriptive_stats.json +1 -1
- data/botxt/botxt.md +0 -1
- data/botxt/descriptive_stats.json +1 -1
- data/cellar/cellar.md +0 -1
- data/cellar/descriptive_stats.json +1 -1
- data/dannet/dannet.md +0 -1
- data/dannet/descriptive_stats.json +1 -1
- data/danske-taler/danske-taler.md +1 -2
- data/danske-taler/descriptive_stats.json +1 -1
- data/depbank/depbank.md +0 -1
- data/depbank/descriptive_stats.json +1 -1
- data/ep/descriptive_stats.json +1 -1
- data/ep/ep.md +0 -1
- data/eur-lex-sum-da/descriptive_stats.json +1 -1
- data/eur-lex-sum-da/eur-lex-sum-da.md +0 -1
- data/fm-udgivelser/descriptive_stats.json +1 -1
- data/fm-udgivelser/fm-udgivelser.md +0 -1
- data/ft/descriptive_stats.json +1 -1
- data/ft/ft.md +0 -1
- data/gutenberg/descriptive_stats.json +1 -1
- data/gutenberg/gutenberg.md +0 -1
- data/hest/descriptive_stats.json +1 -1
- data/hest/hest.md +0 -1
- data/jvj/descriptive_stats.json +1 -1
- data/jvj/jvj.md +0 -1
- data/memo/descriptive_stats.json +1 -1
- data/memo/memo.md +0 -1
- data/miljoeportalen/descriptive_stats.json +1 -1
- data/miljoeportalen/miljoeportalen.md +0 -1
- data/naat/descriptive_stats.json +1 -1
- data/naat/naat.md +0 -1
- data/ncc_books/descriptive_stats.json +1 -2
- data/ncc_books/images/dist_document_length.png +2 -2
- data/ncc_books/ncc_books.md +13 -19
- data/ncc_maalfrid/descriptive_stats.json +1 -2
- data/ncc_maalfrid/images/dist_document_length.png +2 -2
- data/ncc_maalfrid/ncc_maalfrid.md +13 -19
- data/ncc_newspaper/descriptive_stats.json +1 -2
- data/ncc_newspaper/images/dist_document_length.png +2 -2
- data/ncc_newspaper/ncc_newspaper.md +12 -20
- data/ncc_parliament/descriptive_stats.json +1 -2
- data/ncc_parliament/images/dist_document_length.png +2 -2
- data/ncc_parliament/ncc_parliament.md +14 -20
- data/nordjyllandnews/descriptive_stats.json +1 -1
- data/nordjyllandnews/nordjyllandnews.md +0 -1
- data/nota/descriptive_stats.json +1 -1
README.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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- [Notice and takedown policy](#notice-and-takedown-policy)
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## Dataset Description
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## Additional Information
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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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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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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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## 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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Danish dynaword does not currently have an
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```
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@misc{enevoldsen2023dynaword,
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title = {Dynaword: From One-shot to Continuously Developed Datasets},
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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},
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year = {2023},
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howpublished = {Hugging Face Dataset},
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url = {https://huggingface.co/datasets/danish-foundation-models/danish-dynaword}
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}
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```
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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](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
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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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data/adl/adl.md
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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
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data/adl/descriptive_stats.json
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"number_of_samples": 498,
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"average_document_length": 324932.2429718876,
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"number_of_tokens": 58493311,
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"revision": "
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}
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"number_of_samples": 498,
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"average_document_length": 324932.2429718876,
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"number_of_tokens": 58493311,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/ai-aktindsigt/ai-aktindsigt.md
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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
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data/ai-aktindsigt/descriptive_stats.json
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"number_of_samples": 200914,
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"average_document_length": 2030.7490916511542,
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"number_of_tokens": 139234696,
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"revision": "
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}
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"number_of_samples": 200914,
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"average_document_length": 2030.7490916511542,
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"number_of_tokens": 139234696,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/botxt/botxt.md
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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
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"number_of_samples": 106,
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"average_document_length": 18972.415094339623,
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"number_of_tokens": 847973,
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"revision": "
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}
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"number_of_samples": 106,
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"average_document_length": 18972.415094339623,
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"number_of_tokens": 847973,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/cellar/cellar.md
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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
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data/cellar/descriptive_stats.json
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"number_of_samples": 63399,
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"average_document_length": 60987.84318364643,
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"number_of_tokens": 1152074881,
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"revision": "
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}
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"number_of_samples": 63399,
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"average_document_length": 60987.84318364643,
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"number_of_tokens": 1152074881,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/dannet/dannet.md
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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
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data/dannet/descriptive_stats.json
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"number_of_samples": 47603,
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"average_document_length": 90.87914627229377,
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"number_of_tokens": 1479471,
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"revision": "
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}
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"number_of_samples": 47603,
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"average_document_length": 90.87914627229377,
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"number_of_tokens": 1479471,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/danske-taler/danske-taler.md
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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
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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
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data/danske-taler/descriptive_stats.json
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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,
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-
"revision": "
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}
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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,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/depbank/depbank.md
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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
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data/depbank/descriptive_stats.json
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"number_of_samples": 536,
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"average_document_length": 1018.8992537313433,
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"number_of_tokens": 185454,
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-
"revision": "
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}
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"number_of_samples": 536,
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"average_document_length": 1018.8992537313433,
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"number_of_tokens": 185454,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/ep/descriptive_stats.json
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"number_of_samples": 3930,
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"average_document_length": 79360.11628498728,
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"number_of_tokens": 100841366,
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-
"revision": "
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}
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"number_of_samples": 3930,
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"average_document_length": 79360.11628498728,
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"number_of_tokens": 100841366,
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"revision": "1546256ca9562ecef403e433276c36770859089e"
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}
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data/ep/ep.md
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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
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data/eur-lex-sum-da/descriptive_stats.json
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"number_of_samples": 1002,
|
3 |
"average_document_length": 87627.37025948103,
|
4 |
"number_of_tokens": 31367665,
|
5 |
-
"revision": "
|
6 |
}
|
|
|
2 |
"number_of_samples": 1002,
|
3 |
"average_document_length": 87627.37025948103,
|
4 |
"number_of_tokens": 31367665,
|
5 |
+
"revision": "1546256ca9562ecef403e433276c36770859089e"
|
6 |
}
|
data/eur-lex-sum-da/eur-lex-sum-da.md
CHANGED
@@ -44,7 +44,6 @@ An example from the dataset looks as follows.
|
|
44 |
"id": "eur-lex-sum-da_0",
|
45 |
"text": "21.6.2019\nDA\nDen Europæiske Unions Tidende\nL 166/26\nKOMMISSIONENS DELEGEREDE FORORDNING (EU) 2019/98[...]",
|
46 |
"source": "eur-lex-sum-da",
|
47 |
-
"domain": "Legal",
|
48 |
"added": "2025-03-24 00:00:00",
|
49 |
"created": "2024-01-01, 2025-01-01",
|
50 |
"token_count": 148017
|
|
|
44 |
"id": "eur-lex-sum-da_0",
|
45 |
"text": "21.6.2019\nDA\nDen Europæiske Unions Tidende\nL 166/26\nKOMMISSIONENS DELEGEREDE FORORDNING (EU) 2019/98[...]",
|
46 |
"source": "eur-lex-sum-da",
|
|
|
47 |
"added": "2025-03-24 00:00:00",
|
48 |
"created": "2024-01-01, 2025-01-01",
|
49 |
"token_count": 148017
|
data/fm-udgivelser/descriptive_stats.json
CHANGED
@@ -2,5 +2,5 @@
|
|
2 |
"number_of_samples": 443,
|
3 |
"average_document_length": 490101.9300225734,
|
4 |
"number_of_tokens": 50335291,
|
5 |
-
"revision": "
|
6 |
}
|
|
|
2 |
"number_of_samples": 443,
|
3 |
"average_document_length": 490101.9300225734,
|
4 |
"number_of_tokens": 50335291,
|
5 |
+
"revision": "1546256ca9562ecef403e433276c36770859089e"
|
6 |
}
|
data/fm-udgivelser/fm-udgivelser.md
CHANGED
@@ -47,7 +47,6 @@ An example from the dataset looks as follows.
|
|
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 |
-
"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": "
|
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": "
|
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": "
|
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": "
|
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": "
|
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": "
|
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": "
|
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 |
-
"
|
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
![]() |
Git LFS Details
|
![]() |
Git LFS Details
|
data/ncc_books/ncc_books.md
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
---
|
2 |
pretty_name: Norwegian Colossal Corpus (books)
|
3 |
language:
|
4 |
-
|
5 |
license: cc0-1.0
|
6 |
license_name: CC0 1.0
|
7 |
task_categories:
|
8 |
-
|
9 |
-
|
10 |
task_ids:
|
11 |
-
|
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 |
-
"
|
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 |
-
- `
|
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 |
-
|
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 |
-
"
|
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
![]() |
Git LFS Details
|
![]() |
Git LFS Details
|
data/ncc_maalfrid/ncc_maalfrid.md
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
---
|
2 |
pretty_name: Norwegian Colossal Corpus (maalfrid)
|
3 |
language:
|
4 |
-
|
5 |
license: other
|
6 |
license_name: NLOD 2.0
|
7 |
task_categories:
|
8 |
-
|
9 |
-
|
10 |
task_ids:
|
11 |
-
|
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 |
-
"
|
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 |
-
- `
|
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 |
-
|
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 |
-
"
|
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
![]() |
Git LFS Details
|
![]() |
Git LFS Details
|
data/ncc_newspaper/ncc_newspaper.md
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
---
|
2 |
pretty_name: Norwegian Colossal Corpus (newspaper)
|
3 |
language:
|
4 |
-
|
5 |
license: cc0-1.0
|
6 |
license_name: CC0 1.0
|
7 |
task_categories:
|
8 |
-
|
9 |
-
|
10 |
task_ids:
|
11 |
-
|
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 |
-
"
|
40 |
-
"added": "2025-04-30",
|
41 |
"created": "1941-01-01, 1941-12-31",
|
42 |
-
"
|
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 |
-
- `
|
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 |
-
|
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 |
-
"
|
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
![]() |
Git LFS Details
|
![]() |
Git LFS Details
|
data/ncc_parliament/ncc_parliament.md
CHANGED
@@ -1,16 +1,16 @@
|
|
1 |
---
|
2 |
pretty_name: Norwegian Colossal Corpus (parliament)
|
3 |
language:
|
4 |
-
|
5 |
license: other
|
6 |
license_name: NLOD 2.0
|
7 |
task_categories:
|
8 |
-
|
9 |
-
|
10 |
task_ids:
|
11 |
-
|
12 |
domains:
|
13 |
-
|
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 |
-
"
|
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 |
-
- `
|
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 |
-
|
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": "
|
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": "
|
6 |
}
|
|
|
2 |
"number_of_samples": 446,
|
3 |
"average_document_length": 38949.7802690583,
|
4 |
"number_of_tokens": 7299012,
|
5 |
+
"revision": "1546256ca9562ecef403e433276c36770859089e"
|
6 |
}
|