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--- |
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license: cc-by-sa-3.0 |
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task_categories: |
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- text-generation |
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language: |
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- fr |
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tags: |
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- wikipedia |
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- wiki |
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- fr.wikipedia.org |
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size_categories: |
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- 1M<n<10M |
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--- |
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# French Wikipedia Dataset |
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## Overview |
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This dataset is a curated collection of approximately 1.1 million French Wikipedia articles, scraped directly from the [official French Wikipedia site](https://fr.wikipedia.org/) on September 24, 2023. |
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There are already numerous datasets for Wikipedia, including the official one with [Wikipedia's dump](https://huggingface.co/datasets/wikipedia). Unfortunately, the text for the French version of this dataset is incomplete, lacking many elements like dates and locations. |
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As the saying goes, "garbage in, garbage out." |
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## Format |
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- **Type**: Text |
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- **File Extension**: `.txt` |
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## Structure |
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The dataset is divided into the following splits: |
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- `train.txt`: 3.45 GB - 1,810,000 rows - 90% |
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- `test.txt` : 192 MB - 100,575 rows - 5% |
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- `valid.txt`: 192 MB - 100,575 rows - 5% |
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Each article in the dataset exceeds 1400 characters in length. |
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## Data Cleaning and Preprocessing |
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The following elements have been excluded from the dataset: |
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- H1 - H4 Headings |
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- Lists |
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- Tables |
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- Sources and References |
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- Info box |
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- Banners |
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- LaTeX code |
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The text has been standardized for consistent formatting and line length. Additionally, the dataset has been filtered using the `langid` library to include only text in French. Some quotations or short terms in other languages, including non-Latin languages, may still be present. |
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## Exploring the Dataset |
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You can use the `explore_dataset.py` script to explore the dataset by randomly displaying a certain number of lines from it. The script creates and saves an index based on the line breaks, enabling faster data retrieval and display. |
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## Additional Information |
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This dataset is a subset of a larger 10GB French dataset, which also contains several thousand books and theses in French, as well as several hundred thousand Francophone news articles. |
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--- |
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# WIKIPEDIA EXTRACT |
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Inside the `/extract_wiki/` directory, you'll find Python scripts used to extract text to compile this dataset. |
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## Requirements: |
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```python |
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pip install datasets aiohttp aiofiles beautifulsoup4 langid |
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``` |
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## Scripts: |
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1. **1_extract_link.py** |
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```python |
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python 1_extract_link.py |
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``` |
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Script to download the Wikipedia dataset from Hugging Face, extract URLs, and save them to a text file for further processing. |
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2. **2_extract_content.py** |
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```python |
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python 2_extract_content.py |
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``` |
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This script retrieves the source code of Wikipedia pages based on URLs found in a text file. Instead of saving the entire HTML of the page, it trims the content, focusing on the main article section, thereby limiting the size of each record. |
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3. **3_extract_txt.py** |
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```python |
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python 3_extract_txt.py |
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``` |
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This script extracts the text from the HTML pages and conducts tests to filter the content that should be retained or excluded. This includes language checks, special characters, numbers, etc. |
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