Datasets:
Commit ·
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1
Parent(s): 2ed5aaa
cellar (#23)
Browse files- squashed commits to ensure 'tokens_over_time' plot renders correctly (no dip) (b8551650781f3d5f9e235db1b2b2f687fbca7f70)
- cleaned up create.py (fb9fd93b1b08f318aad1ff63e014459ffcfeb16b)
- fixed 'tokens_over_time' image (38d97dc8f2706c81ffebfb0c3e81679860618748)
- adressed comments (cd3e9e94fc2ee4696bb83630f06d4b72a85ad7c6)
Co-authored-by: Gustav Idun Sloth <gustavidun@users.noreply.huggingface.co>
- CHANGELOG.md +5 -0
- README.md +47 -37
- data/cellar/.gitignore +3 -0
- data/cellar/cellar.md +89 -0
- data/cellar/cellar.parquet +3 -0
- data/cellar/create.py +179 -0
- data/cellar/descriptive_stats.json +9 -0
- data/cellar/images/dist_document_length.png +3 -0
- descriptive_stats.json +7 -7
- images/dataset_size_plot.html +1 -1
- images/dataset_size_plot.svg +1 -1
- images/domain_distribution.png +2 -2
- images/language_distribution.html +1 -1
- images/language_distribution.svg +1 -1
- images/tokens_over_time.html +1 -1
- images/tokens_over_time.svg +1 -1
- pyproject.toml +1 -1
- test_results.log +16 -0
- uv.lock +1 -1
CHANGELOG.md
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [v0.0.6] - 2026-05-30
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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## [v0.0.7] - 2026-06-21
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### Added
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- Added the `cellar` dataset.
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## [v0.0.6] - 2026-05-30
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README.md
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data_files:
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- split: train
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path: data/riksdagen-protokoll/*.parquet
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language_bcp47:
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- swe
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---
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<!-- START README TABLE -->
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| ------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Version** | 0.0.
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| **Language** | Swedish (sv, swe) |
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| **License** | Openly Licensed, See the respective dataset |
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| **Models** | Currently there is no models trained on this dataset |
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## Dataset Description
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<!-- START-DESC-STATS -->
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- **Number of samples**:
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- **Number of tokens (Llama 3)**:
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- **Average document length in tokens (min, max)**:
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<!-- END-DESC-STATS -->
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Language is denoted using [BCP-47](https://en.wikipedia.org/wiki/IETF_language_tag), using the langauge code ISO [639-3](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes) and the script code [ISO 15924](https://en.wikipedia.org/wiki/ISO_15924).
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<!-- START-LANGUAGE TABLE -->
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| Language | Sources
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|:-----------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
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| sv | [dalpilen-1860], [lag1800], [svensk-tidskrift], [statens-offentliga-utredningar], [biblioteksbladet], [riksdagen-forfattningssamling], [riksdagen-reglementen], [riksdagen-register], [riksdagen-skrivelser], [riksdagen-utredningar], [riksdagen-berattelser], [riksdagen-motioner], [riksdagen-betankanden], [riksdagen-propositioner], [riksdagen-protokoll] |
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| **Total** |
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[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
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[lag1800]: data/lag1800/lag1800.md
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[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
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[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
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[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
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<!-- END-LANGUAGE TABLE -->
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### Domains
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<!-- START-DOMAIN TABLE -->
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| Domain | Sources | N. Tokens |
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|:----------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
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| Report | [statens-offentliga-utredningar], [riksdagen-register], [riksdagen-skrivelser], [riksdagen-utredningar], [riksdagen-berattelser], [riksdagen-motioner], [riksdagen-betankanden], [riksdagen-propositioner], [riksdagen-protokoll] | 3.17B |
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| News | [dalpilen-1860], [svensk-tidskrift], [biblioteksbladet] | 40.12M |
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| **Total** | | 3.21B |
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[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
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[lag1800]: data/lag1800/lag1800.md
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[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
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[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
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[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
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<!-- END-DOMAIN TABLE -->
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</div>
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These license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under [CC-0](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
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<!-- START-LICENSE TABLE -->
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| License
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|:----------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
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| CC-BY 4.0 | [
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[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
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[lag1800]: data/lag1800/lag1800.md
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[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
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[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
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[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
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<!-- END-LICENSE TABLE -->
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<!-- START-SAMPLE -->
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```py
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{
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"id": "
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"text": "
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"source": "
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"added": "2026-05-29",
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"created": "
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"token_count":
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}
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```
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You can learn more about each dataset by pressing the link in the first column.
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<!-- START-MAIN TABLE -->
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| Source | Description | Domain | N. Tokens | License
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|:---------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------|:------------|:------------|
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| [
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| [riksdagen-
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[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
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[lag1800]: data/lag1800/lag1800.md
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[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
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[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
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[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
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[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en
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data_files:
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- split: train
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path: data/riksdagen-protokoll/*.parquet
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- config_name: cellar
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data_files:
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- split: train
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path: data/cellar/*.parquet
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language_bcp47:
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- swe
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---
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<!-- START README TABLE -->
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| ------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Version** | 0.0.7 ([Changelog](/CHANGELOG.md)) |
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| **Language** | Swedish (sv, swe) |
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| **License** | Openly Licensed, See the respective dataset |
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| **Models** | Currently there is no models trained on this dataset |
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## Dataset Description
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<!-- START-DESC-STATS -->
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- **Number of samples**: 606.51K
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- **Number of tokens (Llama 3)**: 7.94B
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- **Average document length in tokens (min, max)**: 13.10K (3, 8.14M)
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<!-- END-DESC-STATS -->
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Language is denoted using [BCP-47](https://en.wikipedia.org/wiki/IETF_language_tag), using the langauge code ISO [639-3](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes) and the script code [ISO 15924](https://en.wikipedia.org/wiki/ISO_15924).
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<!-- START-LANGUAGE TABLE -->
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| Language | Sources | N. Tokens |
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|:-----------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
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| sv | [dalpilen-1860], [lag1800], [svensk-tidskrift], [statens-offentliga-utredningar], [biblioteksbladet], [riksdagen-forfattningssamling], [riksdagen-reglementen], [riksdagen-register], [riksdagen-skrivelser], [riksdagen-utredningar], [riksdagen-berattelser], [riksdagen-motioner], [riksdagen-betankanden], [riksdagen-propositioner], [riksdagen-protokoll], [cellar] | 7.94B |
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| **Total** | | 7.94B |
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[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
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[lag1800]: data/lag1800/lag1800.md
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[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
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[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
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[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
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[cellar]: data/cellar/cellar.md
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<!-- END-LANGUAGE TABLE -->
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### Domains
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<!-- START-DOMAIN TABLE -->
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| Domain | Sources | N. Tokens |
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|:----------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
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| Legal | [lag1800], [riksdagen-forfattningssamling], [riksdagen-reglementen], [cellar] | 4.74B |
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| Report | [statens-offentliga-utredningar], [riksdagen-register], [riksdagen-skrivelser], [riksdagen-utredningar], [riksdagen-berattelser], [riksdagen-motioner], [riksdagen-betankanden], [riksdagen-propositioner], [riksdagen-protokoll] | 3.17B |
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| News | [dalpilen-1860], [svensk-tidskrift], [biblioteksbladet] | 40.12M |
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| **Total** | | 7.94B |
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[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
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[lag1800]: data/lag1800/lag1800.md
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[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
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[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
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[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
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[cellar]: data/cellar/cellar.md
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<!-- END-DOMAIN TABLE -->
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</div>
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These license is applied to the constituent data, i.e., the text. The collection of datasets (metadata, quality control, etc.) is licensed under [CC-0](https://creativecommons.org/publicdomain/zero/1.0/legalcode.en).
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<!-- START-LICENSE TABLE -->
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| License | Sources | N. Tokens |
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|:-------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------|
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| CC-BY-SA 4.0 | [cellar] | 4.73B |
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| CC-BY 4.0 | [dalpilen-1860], [lag1800], [svensk-tidskrift], [statens-offentliga-utredningar], [biblioteksbladet], [riksdagen-forfattningssamling], [riksdagen-reglementen], [riksdagen-register], [riksdagen-skrivelser], [riksdagen-utredningar], [riksdagen-berattelser], [riksdagen-motioner], [riksdagen-betankanden], [riksdagen-propositioner], [riksdagen-protokoll] | 3.21B |
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| **Total** | | 7.94B |
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[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
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[lag1800]: data/lag1800/lag1800.md
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[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
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[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
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[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
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[cellar]: data/cellar/cellar.md
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<!-- END-LICENSE TABLE -->
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<!-- START-SAMPLE -->
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```py
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{
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"id": "biblioteksbladet_0001",
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"text": "BIBLIOTEKSBLADET\n\nORGAN FÖR SVERIGES ALLMÄNNA BIBLIOTEKSFÖRENING\n\nREDAKTION:\n\nFREDRIK HJELMQVIST och[...]",
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"source": "biblioteksbladet",
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"added": "2026-05-29",
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"created": "1916-01-01, 1916-12-31",
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"token_count": 271328
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}
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```
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You can learn more about each dataset by pressing the link in the first column.
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<!-- START-MAIN TABLE -->
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| Source | Description | Domain | N. Tokens | License |
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|:---------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------|:------------|:---------------|
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| [cellar] | The official digital repository for European Union legal documents and open data | Legal | 4.73B | [CC-BY-SA 4.0] |
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| [statens-offentliga-utredningar] | Historical Swedish government investigation reports ([*Statens offentliga utredningar*](https://spraakbanken.gu.se/en/resources/sou)) from 1922 to 1996 | Report | 909.69M | [CC-BY 4.0] |
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| [riksdagen-propositioner] | Swedish government bills and parliamentary letters from Språkbanken Text's [Bicameral riksdag: Propositions and letters](https://spraakbanken.gu.se/en/resources/tkr-propositioner-skrivelser) | Report | 699.11M | [CC-BY 4.0] |
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| [riksdagen-protokoll] | Swedish parliamentary debate protocols from Språkbanken Text's [Bicameral riksdag: Protocols](https://spraakbanken.gu.se/en/resources/tkr-protokoll) | Report | 624.22M | [CC-BY 4.0] |
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| [riksdagen-betankanden] | Swedish parliamentary committee reports, memorandums and opinions from Språkbanken Text's [Bicameral riksdag: Reports, memorandums and opinions](https://spraakbanken.gu.se/en/resources/tkr-bet-mem-utl) | Report | 423.50M | [CC-BY 4.0] |
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| [riksdagen-motioner] | Swedish parliamentary motions from Språkbanken Text's [Bicameral riksdag: Motions](https://spraakbanken.gu.se/en/resources/tkr-motioner) | Report | 149.83M | [CC-BY 4.0] |
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| [riksdagen-berattelser] | Swedish parliamentary narratives and accounts from Språkbanken Text's [Bicameral riksdag: Narratives and accounts](https://spraakbanken.gu.se/en/resources/tkr-berattelser-redogorelser-frsrdg) | Report | 129.77M | [CC-BY 4.0] |
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| [riksdagen-utredningar] | Swedish parliamentary government investigation texts from Språkbanken Text's [Bicameral riksdag: Government official investigations](https://spraakbanken.gu.se/en/resources/tkr-utredningar-kombet-sou) | Report | 125.48M | [CC-BY 4.0] |
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| [riksdagen-skrivelser] | Swedish parliamentary letters and communications from Språkbanken Text's [Bicameral riksdag: Letters of the Riksdag](https://spraakbanken.gu.se/en/resources/tkr-rskr) | Report | 61.79M | [CC-BY 4.0] |
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| [riksdagen-register] | Swedish parliamentary register texts from Språkbanken Text's [Bicameral riksdag: Register](https://spraakbanken.gu.se/en/resources/tkr-register) | Report | 44.16M | [CC-BY 4.0] |
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| [dalpilen-1860] | Historical Swedish newspaper issues from Språkbanken Text's [Dalpilen 1860's](https://spraakbanken.gu.se/en/resources/kubhist2-dalpilen-1860) | News | 17.51M | [CC-BY 4.0] |
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| [svensk-tidskrift] | Historical Swedish conservative journal ([*Svensk Tidskrift*](https://spraakbanken.gu.se/en/resources/runeberg-svtidskr)) covering 27 annual volumes from 1891 to 1940 | News | 13.89M | [CC-BY 4.0] |
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| [biblioteksbladet] | Early volumes of the Swedish library journal *Biblioteksbladet* (1916–1940) | News | 8.71M | [CC-BY 4.0] |
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| [riksdagen-reglementen] | Swedish parliamentary regulations from Språkbanken Text's [Bicameral riksdag: Regulations](https://spraakbanken.gu.se/en/resources/tkr-reglementen-sfs) | Legal | 5.69M | [CC-BY 4.0] |
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| [lag1800] | Historical Swedish legal texts from Språkbanken Text's [Laws from the 1800's](https://spraakbanken.gu.se/en/resources/lag1800) | Legal | 921.60K | [CC-BY 4.0] |
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| 371 |
+
| [riksdagen-forfattningssamling] | Swedish parliamentary constitutional texts from Språkbanken Text's [Bicameral riksdag: The constitution of the Riksdag](https://spraakbanken.gu.se/en/resources/tkr-riksdagens-forfattningssamling-rfs) | Legal | 185.96K | [CC-BY 4.0] |
|
| 372 |
+
| **Total** | | | 7.94B | |
|
| 373 |
|
| 374 |
[dalpilen-1860]: data/dalpilen-1860/dalpilen-1860.md
|
| 375 |
[lag1800]: data/lag1800/lag1800.md
|
|
|
|
| 386 |
[riksdagen-betankanden]: data/riksdagen-betankanden/riksdagen-betankanden.md
|
| 387 |
[riksdagen-propositioner]: data/riksdagen-propositioner/riksdagen-propositioner.md
|
| 388 |
[riksdagen-protokoll]: data/riksdagen-protokoll/riksdagen-protokoll.md
|
| 389 |
+
[cellar]: data/cellar/cellar.md
|
| 390 |
|
| 391 |
|
| 392 |
[CC-0]: https://creativecommons.org/publicdomain/zero/1.0/legalcode.en
|
data/cellar/.gitignore
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
extracted/
|
| 2 |
+
out/
|
| 3 |
+
swedish_metadata/
|
data/cellar/cellar.md
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
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|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
pretty_name: Cellar
|
| 3 |
+
language:
|
| 4 |
+
- sv
|
| 5 |
+
license: cc-by-sa-4.0
|
| 6 |
+
license_name: CC-BY-SA 4.0
|
| 7 |
+
task_categories:
|
| 8 |
+
- text-generation
|
| 9 |
+
- fill-mask
|
| 10 |
+
task_ids:
|
| 11 |
+
- language-modeling
|
| 12 |
+
domains:
|
| 13 |
+
- Legal
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# Dataset Card for Cellar
|
| 17 |
+
|
| 18 |
+
<!-- START-SHORT DESCRIPTION -->
|
| 19 |
+
The official digital repository for European Union legal documents and open data.
|
| 20 |
+
<!-- END-SHORT DESCRIPTION -->
|
| 21 |
+
|
| 22 |
+
The EU Dataset [Cellar](https://op.europa.eu/en/web/cellar/home) serves as the central access point for all official EU publications, legislation, and open data resources. Maintained by the Publications Office of the European Union, this comprehensive digital archive contains millions of documents in multiple languages, including regulations, directives, decisions, treaties, case law, and preparatory acts dating back decades. The repository employs standardized metadata and unique identifiers to organize its vast collection, making it an essential resource for researchers, legal professionals, policymakers, and citizens seeking authoritative information on EU law and policy. The Cellar's linked data architecture also enables sophisticated search capabilities and integration with other information systems across the European Union's digital landscape.
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
## Dataset Description
|
| 26 |
+
|
| 27 |
+
<!-- START-DESC-STATS -->
|
| 28 |
+
- **Number of samples**: 419.34K
|
| 29 |
+
- **Number of tokens (Llama 3)**: 4.73B
|
| 30 |
+
- **Average document length in tokens (min, max)**: 11.28K (3, 8.14M)
|
| 31 |
+
<!-- END-DESC-STATS -->
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
## Dataset Structure
|
| 35 |
+
An example from the dataset looks as follows.
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
<!-- START-SAMPLE -->
|
| 39 |
+
```py
|
| 40 |
+
{
|
| 41 |
+
"id": "cellar_1127769",
|
| 42 |
+
"text": "- ISSN 1977-0820\n- Europeiska unionensofficiella tidning L 221\n- Svensk utgåva Lagstiftning 63 årgån[...]",
|
| 43 |
+
"source": "cellar",
|
| 44 |
+
"added": "2026-07-09",
|
| 45 |
+
"created": "2020-07-10, 2020-07-10",
|
| 46 |
+
"token_count": 153759
|
| 47 |
+
}
|
| 48 |
+
```
|
| 49 |
+
|
| 50 |
+
### Data Fields
|
| 51 |
+
|
| 52 |
+
An entry in the dataset consists of the following fields:
|
| 53 |
+
|
| 54 |
+
- `id` (`str`): A 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`): The date when the document was added to this collection.
|
| 58 |
+
- `created` (`str`): The date range when the document was originally created.
|
| 59 |
+
- `token_count` (`int`): The number of tokens in the sample computed using the Llama 3 tokenizer.
|
| 60 |
+
<!-- END-SAMPLE -->
|
| 61 |
+
|
| 62 |
+
|
| 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
|
| 72 |
+
The dataset was constructed using an external metadata [reference](https://huggingface.co/datasets/danish-foundation-models/cellar-metadata). The metadata set was constructed by iterating through all months since 1955 using Cellar's SPARQL endpoints.
|
| 73 |
+
|
| 74 |
+
HTML/XML files were parsed with html-to-markdown and PDF's with liteparse.
|
| 75 |
+
|
| 76 |
+
### Limitations
|
| 77 |
+
Due to the size of the dataset, pdf extraction was conducted without OCR. Moreover files spanning more 100 mb were not parsed. PDF's were also truncated to 100 pages.
|
| 78 |
+
|
| 79 |
+
Some light cleanup was conducted, but the samples are not always perfect.
|
| 80 |
+
|
| 81 |
+
There is a large amount of content residing in tables, which might not always be language heavy.
|
| 82 |
+
|
| 83 |
+
### License Information
|
| 84 |
+
|
| 85 |
+
Data is licensed under the [Attribution-ShareAlike 4.0 International license](https://creativecommons.org/licenses/by-sa/4.0/). Thus, attribution to Cellar is required when using this data.
|
| 86 |
+
|
| 87 |
+
### Citation Information
|
| 88 |
+
|
| 89 |
+
No citation is applicable for this work.
|
data/cellar/cellar.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f6b1fedb927aa03b5727bf028e85eae274d53871291d4f5b3902d07170501c88
|
| 3 |
+
size 5883474423
|
data/cellar/create.py
ADDED
|
@@ -0,0 +1,179 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# /// script
|
| 2 |
+
# requires-python = ">=3.12"
|
| 3 |
+
# dependencies = [
|
| 4 |
+
# "datasets",
|
| 5 |
+
# "requests",
|
| 6 |
+
# "tenacity",
|
| 7 |
+
# "dynaword",
|
| 8 |
+
# "liteparse",
|
| 9 |
+
# "html-to-markdown",
|
| 10 |
+
# ]
|
| 11 |
+
#
|
| 12 |
+
# [tool.uv.sources]
|
| 13 |
+
# dynaword = { path = "../.." }
|
| 14 |
+
# ///
|
| 15 |
+
"""
|
| 16 |
+
Script for fetching Swedish cellar documents.
|
| 17 |
+
To run script separately (without downloading entire repo), run `GIT_LFS_SKIP_SMUDGE=1 uv run create.py`
|
| 18 |
+
"""
|
| 19 |
+
import re
|
| 20 |
+
from pathlib import Path
|
| 21 |
+
from datetime import date
|
| 22 |
+
from time import sleep
|
| 23 |
+
|
| 24 |
+
import multiprocess
|
| 25 |
+
from datasets import load_dataset, load_from_disk, Dataset
|
| 26 |
+
from tenacity import retry, stop_after_attempt, wait_exponential
|
| 27 |
+
import requests
|
| 28 |
+
from html_to_markdown import convert, ConversionOptions
|
| 29 |
+
from liteparse import LiteParse
|
| 30 |
+
|
| 31 |
+
from dynaword.process_dataset import (
|
| 32 |
+
add_token_count,
|
| 33 |
+
ensure_column_order,
|
| 34 |
+
remove_empty_texts,
|
| 35 |
+
remove_duplicate_text
|
| 36 |
+
)
|
| 37 |
+
|
| 38 |
+
SOURCE = "cellar"
|
| 39 |
+
CLEAR_DIRECTORY = True
|
| 40 |
+
WORKERS = 32
|
| 41 |
+
LANGCODE = "SWE"
|
| 42 |
+
|
| 43 |
+
ROOT = Path(__file__).parent
|
| 44 |
+
EXTRACT_OUT = ROOT / "extracted"
|
| 45 |
+
|
| 46 |
+
DS_PATH = ROOT / "swedish_metadata"
|
| 47 |
+
|
| 48 |
+
EXTRACT_OUT.mkdir(exist_ok=True)
|
| 49 |
+
|
| 50 |
+
@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1))
|
| 51 |
+
def fetch(url):
|
| 52 |
+
resp = requests.get(url, timeout=30)
|
| 53 |
+
resp.raise_for_status()
|
| 54 |
+
return resp
|
| 55 |
+
|
| 56 |
+
def parse_uri(uri : str):
|
| 57 |
+
"""get id + manifestation + DOC of CELLAR uri"""
|
| 58 |
+
item = uri.rsplit("/", 2)[1]
|
| 59 |
+
item_id, expression, manifestation = item.rsplit(".")
|
| 60 |
+
return item_id, int(manifestation)
|
| 61 |
+
|
| 62 |
+
def fetch_and_convert(example):
|
| 63 |
+
""" Fetch and save pdf files using endpoints from the metadata dataset """
|
| 64 |
+
type = example["type"]
|
| 65 |
+
url = example["item"]
|
| 66 |
+
idx = example["global_index"]
|
| 67 |
+
|
| 68 |
+
#lite parse options
|
| 69 |
+
parser = LiteParse(
|
| 70 |
+
output_format="markdown",
|
| 71 |
+
image_mode="off",
|
| 72 |
+
extract_links=False,
|
| 73 |
+
quiet=True,
|
| 74 |
+
max_pages=100, # to avoid memory crashes
|
| 75 |
+
ocr_enabled=False # need better GPU to enable OCR for now
|
| 76 |
+
)
|
| 77 |
+
|
| 78 |
+
#html-to-markdown options
|
| 79 |
+
options = ConversionOptions(extract_metadata=False, skip_images=True)
|
| 80 |
+
|
| 81 |
+
# skip if exists
|
| 82 |
+
if Path(EXTRACT_OUT / f"{idx}.md").exists():
|
| 83 |
+
return
|
| 84 |
+
|
| 85 |
+
try:
|
| 86 |
+
resp = fetch(url)
|
| 87 |
+
# skip large files (> 100 mb)
|
| 88 |
+
if len(resp.content) / (1024 * 1024) > 100:
|
| 89 |
+
return
|
| 90 |
+
except Exception as e:
|
| 91 |
+
print(f"Fetch exception, skipping... {e}")
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
try:
|
| 95 |
+
if type in ["pdf", "pdfa2a", "pdfa1a", "pdf1x", "pdfx4", "pdfx", "pdfa1b"]:
|
| 96 |
+
with open(EXTRACT_OUT / f"{idx}.md", "w") as f:
|
| 97 |
+
try:
|
| 98 |
+
result = parser.parse(resp.content)
|
| 99 |
+
f.write(result.text)
|
| 100 |
+
except Exception as e:
|
| 101 |
+
print("liteparse: Failed parsing pdf ", e)
|
| 102 |
+
|
| 103 |
+
elif type in ["html", "xhtml", "xhtml5", "xml", "etsi_xml"]:
|
| 104 |
+
with open(EXTRACT_OUT / f"{idx}.md", "w", encoding="utf-8") as f:
|
| 105 |
+
try:
|
| 106 |
+
result = convert(resp.text, options)
|
| 107 |
+
f.write(result.content)
|
| 108 |
+
|
| 109 |
+
except Exception as e:
|
| 110 |
+
print(f"html-to-markdown: Failed parsing {type}: ", e)
|
| 111 |
+
else:
|
| 112 |
+
print(f"Skipping non-compatible filetype {type}.")
|
| 113 |
+
|
| 114 |
+
except Exception as e:
|
| 115 |
+
print(f"File error, skipping... {e}")
|
| 116 |
+
|
| 117 |
+
return
|
| 118 |
+
|
| 119 |
+
def create_samples(metadata):
|
| 120 |
+
"""Run through the extracted files and construct dataset"""
|
| 121 |
+
#for fast date lookup
|
| 122 |
+
date_map = dict(zip(metadata["global_index"], metadata["date"]))
|
| 123 |
+
item_map = dict(zip(metadata["global_index"], metadata["item"]))
|
| 124 |
+
scan_idx = []
|
| 125 |
+
scanned_items = {}
|
| 126 |
+
|
| 127 |
+
# check for items with multiple manifestations (file types), so we don't include the same item twice
|
| 128 |
+
for file in EXTRACT_OUT.rglob("**/*.md"):
|
| 129 |
+
idx = int(file.stem)
|
| 130 |
+
item_id, manif = parse_uri(item_map[idx])
|
| 131 |
+
if scanned_items.setdefault(item_id, manif) == manif: # only include item if it doesn't exist as another manifestation
|
| 132 |
+
scan_idx.append(idx)
|
| 133 |
+
|
| 134 |
+
for idx in scan_idx:
|
| 135 |
+
with open(EXTRACT_OUT / f"{idx}.md",mode="r") as f:
|
| 136 |
+
doc = f.read()
|
| 137 |
+
|
| 138 |
+
_date = date_map.get(idx)
|
| 139 |
+
created = f"{_date}, {_date}" if _date else f"1955-01-01, 2026-12-31"
|
| 140 |
+
|
| 141 |
+
yield {
|
| 142 |
+
"id": f"{SOURCE}_{idx}",
|
| 143 |
+
"text": doc,
|
| 144 |
+
"source": SOURCE,
|
| 145 |
+
"added": date.today().strftime("%Y-%m-%d"),
|
| 146 |
+
"created": created
|
| 147 |
+
}
|
| 148 |
+
|
| 149 |
+
def clean_samples(example):
|
| 150 |
+
example["text"] = re.sub(r'<?\?xml.*?\?>', '', example["text"]).strip()
|
| 151 |
+
return example
|
| 152 |
+
|
| 153 |
+
if __name__ == "__main__":
|
| 154 |
+
if DS_PATH.exists():
|
| 155 |
+
filtered_ds = load_from_disk(DS_PATH)
|
| 156 |
+
else:
|
| 157 |
+
ds = load_dataset("danish-foundation-models/cellar-metadata", split="train")
|
| 158 |
+
filtered_ds = ds.filter(lambda x: x["langCode"] == LANGCODE)
|
| 159 |
+
filtered_ds = filtered_ds.add_column("global_index", range(len(filtered_ds)))
|
| 160 |
+
filtered_ds.save_to_disk(DS_PATH)
|
| 161 |
+
|
| 162 |
+
multiprocess.set_start_method("spawn", force=True)
|
| 163 |
+
filtered_ds.map(fetch_and_convert, desc="Fetching and converting...", num_proc=WORKERS)
|
| 164 |
+
|
| 165 |
+
ds = Dataset.from_generator(create_samples, gen_kwargs={"metadata": filtered_ds})
|
| 166 |
+
|
| 167 |
+
ds = remove_empty_texts(ds)
|
| 168 |
+
ds = remove_duplicate_text(ds)
|
| 169 |
+
ds = add_token_count(ds)
|
| 170 |
+
ds = ensure_column_order(ds)
|
| 171 |
+
|
| 172 |
+
# clean xml artifacts
|
| 173 |
+
ds = ds.map(clean_samples, num_proc=WORKERS)
|
| 174 |
+
|
| 175 |
+
# filter out samples with more than 20% non unicode characters (bad documents or failed parsing)
|
| 176 |
+
ds = ds.filter(lambda example: False if example["text"].count('\ufffd') > len(example["text"]) * 0.2 else True, num_proc=32)
|
| 177 |
+
|
| 178 |
+
ds.to_parquet(ROOT / "cellar.parquet")
|
| 179 |
+
print("Done!")
|
data/cellar/descriptive_stats.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"number_of_samples": 419340,
|
| 3 |
+
"number_of_tokens": 4728694498,
|
| 4 |
+
"min_length_tokens": 3,
|
| 5 |
+
"max_length_tokens": 8140217,
|
| 6 |
+
"number_of_characters": 15163659058,
|
| 7 |
+
"min_length_characters": 5,
|
| 8 |
+
"max_length_characters": 41444647
|
| 9 |
+
}
|
data/cellar/images/dist_document_length.png
ADDED
|
Git LFS Details
|
descriptive_stats.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"number_of_samples":
|
| 3 |
-
"number_of_tokens":
|
| 4 |
-
"min_length_tokens":
|
| 5 |
-
"max_length_tokens":
|
| 6 |
-
"number_of_characters":
|
| 7 |
-
"min_length_characters":
|
| 8 |
-
"max_length_characters":
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"number_of_samples": 606513,
|
| 3 |
+
"number_of_tokens": 7943159707,
|
| 4 |
+
"min_length_tokens": 3,
|
| 5 |
+
"max_length_tokens": 8140217,
|
| 6 |
+
"number_of_characters": 24404023854,
|
| 7 |
+
"min_length_characters": 5,
|
| 8 |
+
"max_length_characters": 41444647
|
| 9 |
}
|
images/dataset_size_plot.html
CHANGED
|
@@ -3883,6 +3883,6 @@ maplibre-gl/dist/maplibre-gl.js:
|
|
| 3883 |
|
| 3884 |
window.Plotly = Plotly;
|
| 3885 |
return Plotly;
|
| 3886 |
-
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|
| 3887 |
</body>
|
| 3888 |
</html>
|
|
|
|
| 3883 |
|
| 3884 |
window.Plotly = Plotly;
|
| 3885 |
return Plotly;
|
| 3886 |
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[project]
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name = "dynaword"
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version = "0.0.
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description = "project code for the Swedish dynaword project"
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[project]
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name = "dynaword"
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version = "0.0.7"
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description = "project code for the Swedish dynaword project"
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readme = "README.md"
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requires-python = ">=3.12,<3.13"
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============================= test session starts ==============================
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platform darwin -- Python 3.12.9, pytest-9.0.2, pluggy-1.6.0
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rootdir: /Users/gustavidunsloth/Documents/Data Science/dynaword-extractor/swedish-dynaword
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configfile: pyproject.toml
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plugins: anyio-4.12.1, timeout-2.4.0
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collected 148 items
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src/tests/test_dataset_schema.py ................................ [ 21%]
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src/tests/test_datasheets.py ........................................... [ 50%]
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..................................... [ 75%]
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src/tests/test_load.py .. [ 77%]
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src/tests/test_quality/test_duplicates.py ................s [ 88%]
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src/tests/test_quality/test_short_texts.py ................ [ 99%]
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src/tests/test_unique_ids.py . [100%]
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+
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+
================== 147 passed, 1 skipped in 290.15s (0:04:50) ==================
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uv.lock
CHANGED
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@@ -289,7 +289,7 @@ wheels = [
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| 289 |
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[[package]]
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name = "dynaword"
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-
version = "0.0.
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source = { editable = "." }
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dependencies = [
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{ name = "datasets" },
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[[package]]
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name = "dynaword"
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+
version = "0.0.7"
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source = { editable = "." }
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| 294 |
dependencies = [
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{ name = "datasets" },
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