README.md

---
language:
- fr
license:
- cc-by-sa-4.0
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
configs:
- config_name: default
  data_files:
  - split: train
    path: "*/20231201/*.parquet"
- config_name: "fr"
  data_files:
  - split: train
    path: "fr/20231201/*.parquet"
- config_name: "sample"
  data_files:
  - split: train
    path: fr/20231201/train-000000-of-000032.parquet
dataset_info:
- config_name: "fr"
  features:
  - name: id
    dtype: int32
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 3274591809
    num_examples: 185700
  download_size: 1934221408
  dataset_size: 3274591809
- config_name: "sample"
  features:
  - name: id
    dtype: int32
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 123744195
    num_examples: 5803
  download_size: 72062489
  dataset_size: 123744195
---

# Plain text of Wikisource
                
* [Dataset Description](#dataset-description)
  * [Size](#size)
  * [Example use (python)](#example-use-python)
  * [Data fields](#data-fields)
  * [Notes on data formatting](#notes-on-data-formatting)
* [License](#license)
* [Aknowledgements](#aknowledgements)
* [Citation](#citation)

## Dataset Description

This dataset is a plain text version of pages from [wikisource.org](https://wikisource.org/) in French language.
The text is without HTML tags nor wiki templates.
It just includes markdown syntax for headers, lists and tables.
See [Notes on data formatting](#notes-on-data-formatting) for more details.

It was created by [LINAGORA](https://labs.linagora.com/) and [OpenLLM France](https://openllmfrance.org/)
from the [Wikimedia dumps](https://dumps.wikimedia.org/other/enterprise_html/runs),
using code in [https://github.com/OpenLLM-France/wikiplaintext](https://github.com/OpenLLM-France/wikiplaintext).
                
### Size
                
The amount of data for the latest dump (20231201) is:
|                 | **French** |
| :---------------|--------: |
| # documents     |   185 700 |
| # paragraphs    |   585 700 |
| # words         |   523 310 649 |
| # characters    |   3 079 850 209 |
| size on disk    |   1.9G |

## Example use (python)

Load the full dataset:

```python
import datasets

ds = datasets.load_dataset("OpenLLM-France/wikisource", streaming=True, split="train")
```

Load only a small subset:
```python
ds = datasets.load_dataset("OpenLLM-France/wikisource", "sample", split="train")
```

A version "`repeated_headers`" of the dataset is available, where headers are repeated before each section
(see https://huggingface.co/datasets/OpenLLM-France/wikipedia#alternative-markdown-syntax).
This dataset can be obtained with:
```python
ds = datasets.load_dataset("OpenLLM-France/wikisource", revision="repeated_headers", split="train")
```

## Data fields

The data fields are the same among all configurations:
- `id` (int): ID of the page.
- `url` (`str`): URL of the page.
- `title` (`str`): Title of the page.
- `text` (`str`): Text content of the page.

## Notes on data formatting

see [OpenLLM-France/wikipedia.fr](https://huggingface.co/datasets/OpenLLM-France/wikipedia)

## License

This dataset is distributed under the [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).

## Aknowledgements

This dataset was created by [Jérôme Louradour](https://huggingface.co/Jeronymous) on behalf of
[LINAGORA](https://labs.linagora.com/) and
[OpenLLM France](https://openllmfrance.org/).

Many thanks to the [Wikimedia Foundation](https://wikimediafoundation.org/)
for providing the data and useful advices,
in particular Isaac Johnson, Albert Villanova and Rémy Gerbet.

## Citation

```
@online{wikisource_fr_dump,
    author = "Jérôme Louradour, OpenLLM-France, LINAGORA Labs",
    title  = "Plain text of Wikisource",
    url    = "https://huggingface.co/datasets/OpenLLM-France/wikisource"
}
```