Tilya203/Tilya

Dataset Card for Wikimedia Wikipedia

Dataset Summary

Wikipedia dataset containing cleaned articles of all languages.

The dataset is built from the Wikipedia dumps (https://dumps.wikimedia.org/) with one subset per language, each containing a single train split.

Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.).

All language subsets have already been processed for recent dump, and you can load them per date and language this way:

from datasets import load_dataset

ds = load_dataset("wikimedia/wikipedia", "20231101.en")

Data Visualization

Click the Nomic Atlas map below to visualize the 6.4 million samples in the 20231101.en split.

Supported Tasks and Leaderboards

The dataset is generally used for Language Modeling.

Languages

You can find the list of languages here: https://meta.wikimedia.org/wiki/List_of_Wikipedias

Dataset Structure

Data Instances

An example looks as follows:

{'id': '1',
 'url': 'https://simple.wikipedia.org/wiki/April',
 'title': 'April',
 'text': 'April is the fourth month...'
}

Data Fields

The data fields are the same among all configurations:

• id (str): ID of the article.
• url (str): URL of the article.
• title (str): Title of the article.
• text (str): Text content of the article.

Data Splits

All configurations contain a single train split.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

The dataset is built from the Wikipedia dumps: https://dumps.wikimedia.org

You can find the full list of languages and dates here: https://dumps.wikimedia.org/backup-index.html

The articles have been parsed using the mwparserfromhell tool.

When uploading the data files for the 20231101 dump, we noticed that the Wikimedia Dumps website does not contain this date dump for the "bbc", "dga", nor "zgh" Wikipedias. We have reported the issue to the Wikimedia Phabricator: https://phabricator.wikimedia.org/T351761

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Copyright licensing information: https://dumps.wikimedia.org/legal.html

All original textual content is licensed under the GNU Free Documentation License (GFDL) and the Creative Commons Attribution-Share-Alike 3.0 License. Some text may be available only under the Creative Commons license; see their Terms of Use for details. Text written by some authors may be released under additional licenses or into the public domain.

Citation Information

@ONLINE{wikidump,
    author = "Wikimedia Foundation",
    title  = "Wikimedia Downloads",
    url    = "https://dumps.wikimedia.org"
}