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--- |
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language: |
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- fr |
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license: |
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- cc-by-sa-4.0 |
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task_categories: |
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- text-generation |
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- fill-mask |
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task_ids: |
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- language-modeling |
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- masked-language-modeling |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: "*/20231201/*.parquet" |
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- config_name: "fr" |
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data_files: |
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- split: train |
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path: "fr/20231201/*.parquet" |
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- config_name: "sample" |
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data_files: |
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- split: train |
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path: fr/20231201/train-000000-of-000032.parquet |
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dataset_info: |
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- config_name: "fr" |
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features: |
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- name: id |
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dtype: int32 |
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- name: url |
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dtype: string |
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- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 3274591809 |
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num_examples: 185700 |
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download_size: 1934221408 |
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dataset_size: 3274591809 |
|
- config_name: "sample" |
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features: |
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- name: id |
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dtype: int32 |
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- name: url |
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dtype: string |
|
- name: title |
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dtype: string |
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- name: text |
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dtype: string |
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splits: |
|
- name: train |
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num_bytes: 123744195 |
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num_examples: 5803 |
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download_size: 72062489 |
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dataset_size: 123744195 |
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--- |
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|
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# Plain text of Wikisource |
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|
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* [Dataset Description](#dataset-description) |
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* [Size](#size) |
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* [Example use (python)](#example-use-python) |
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* [Data fields](#data-fields) |
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* [Notes on data formatting](#notes-on-data-formatting) |
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* [License](#license) |
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* [Aknowledgements](#aknowledgements) |
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* [Citation](#citation) |
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|
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## Dataset Description |
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|
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This dataset is a plain text version of pages from [wikisource.org](https://wikisource.org/) in French language. |
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The text is without HTML tags nor wiki templates. |
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It just includes markdown syntax for headers, lists and tables. |
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See [Notes on data formatting](#notes-on-data-formatting) for more details. |
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It was created by [LINAGORA](https://labs.linagora.com/) and [OpenLLM France](https://openllmfrance.org/) |
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from the [Wikimedia dumps](https://dumps.wikimedia.org/other/enterprise_html/runs), |
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using code in [https://github.com/OpenLLM-France/wikiplaintext](https://github.com/OpenLLM-France/wikiplaintext). |
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### Size |
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The amount of data for the latest dump (20231201) is: |
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| | **French** | |
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| :---------------|--------: | |
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| # documents | 185 700 | |
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| # paragraphs | 585 700 | |
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| # words | 523 310 649 | |
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| # characters | 3 079 850 209 | |
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| size on disk | 1.9G | |
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|
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## Example use (python) |
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Load the full dataset: |
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```python |
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import datasets |
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ds = datasets.load_dataset("OpenLLM-France/wikisource", streaming=True, split="train") |
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``` |
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Load only a small subset: |
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```python |
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ds = datasets.load_dataset("OpenLLM-France/wikisource", "sample", split="train") |
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``` |
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A version "`repeated_headers`" of the dataset is available, where headers are repeated before each section |
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(see https://huggingface.co/datasets/OpenLLM-France/wikipedia#alternative-markdown-syntax). |
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This dataset can be obtained with: |
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```python |
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ds = datasets.load_dataset("OpenLLM-France/wikisource", revision="repeated_headers", split="train") |
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``` |
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## Data fields |
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|
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The data fields are the same among all configurations: |
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- `id` (int): ID of the page. |
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- `url` (`str`): URL of the page. |
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- `title` (`str`): Title of the page. |
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- `text` (`str`): Text content of the page. |
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|
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## Notes on data formatting |
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|
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see [OpenLLM-France/wikipedia.fr](https://huggingface.co/datasets/OpenLLM-France/wikipedia) |
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## License |
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This dataset is distributed under the [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/). |
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## Aknowledgements |
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This dataset was created by [Jérôme Louradour](https://huggingface.co/Jeronymous) on behalf of |
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[LINAGORA](https://labs.linagora.com/) and |
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[OpenLLM France](https://openllmfrance.org/). |
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Many thanks to the [Wikimedia Foundation](https://wikimediafoundation.org/) |
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for providing the data and useful advices, |
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in particular Isaac Johnson, Albert Villanova and Rémy Gerbet. |
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## Citation |
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``` |
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@online{wikisource_fr_dump, |
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author = "Jérôme Louradour, OpenLLM-France, LINAGORA Labs", |
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title = "Plain text of Wikisource", |
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url = "https://huggingface.co/datasets/OpenLLM-France/wikisource" |
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} |
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``` |
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