
# Dataset Card for Wikimedia Wikipedia

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://dumps.wikimedia.org](https://dumps.wikimedia.org)
- **Repository:**
- **Paper:**
- **Point of Contact:**

### 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:
```python
from datasets import load_dataset

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

#### Data Visualization
Click the [Nomic Atlas](https://atlas.nomic.ai/map/475c26d7-b142-4795-9887-02b6eeb18dc0/0d312be6-a3bb-4586-b6b7-53dcd0cbefa5) map below to visualize the 6.4 million samples in the `20231101.en` split.

<a href="https://atlas.nomic.ai/map/475c26d7-b142-4795-9887-02b6eeb18dc0/0d312be6-a3bb-4586-b6b7-53dcd0cbefa5">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/6480c476cacb1c4a0696eeb8/sZNN6Vubc0Oue83vKaJUu.webp" alt="Nomic-Atlas Wikipedia Map" width="25%"/>
</a>

### 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`](https://mwparserfromhell.readthedocs.io) 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](https://www.gnu.org/licenses/fdl-1.3.html) (GFDL)
and the [Creative Commons Attribution-Share-Alike 3.0 License](https://creativecommons.org/licenses/by-sa/3.0/).
Some text may be available only under the Creative Commons license; see their [Terms of Use](https://foundation.wikimedia.org/wiki/Policy: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"
}
```
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TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #size_categories-n<1K #size_categories-1K<n<10K #size_categories-10K<n<100K #size_categories-100K<n<1M #size_categories-1M<n<10M #language-Abkhazian #language-Achinese #language-Adyghe #language-Afrikaans #language-Southern Altai #language-Amharic #language-Amis #language-Aragonese #language-Old English (ca. 450-1100) #language-Angika #language-Arabic #language-Official Aramaic (700-300 BCE) #language-Moroccan Arabic #language-Egyptian Arabic #language-Assamese #language-Asturian #language-Atikamekw #language-Avaric #language-Kotava #language-Awadhi #language-Aymara #language-Azerbaijani #language-South Azerbaijani #language-Bashkir #language-Balinese #language-Bavarian #language-Batak Toba #language-Central Bikol #language-Belarusian #language-Bulgarian #language-bh #language-Bislama #language-Banjar #language-Pa'o Karen #language-Bambara #language-Bengali #language-Tibetan #language-Bishnupriya #language-Breton #language-Bosnian #language-Buginese #language-Russia Buriat #language-Catalan #language-Chavacano #language-Min Dong Chinese #language-Chechen #language-Cebuano #language-Chamorro #language-Cherokee #language-Cheyenne #language-Central Kurdish #language-Corsican #language-Cree #language-Crimean Tatar #language-Czech #language-Kashubian #language-Church Slavic #language-Chuvash #language-Welsh #language-Danish #language-Dagbani #language-German #language-Southern Dagaare #language-Dinka #language-Dimli (individual language) #language-Lower Sorbian #language-Dotyali #language-Dhivehi #language-Dzongkha #language-Ewe #language-Modern Greek (1453-) #language-Emiliano-Romagnolo #language-English #language-Esperanto #language-Spanish #language-Estonian #language-Basque #language-Extremaduran #language-Persian #language-Fanti #language-Fulah #language-Finnish #language-Fijian #language-Faroese #language-Fon #language-French #language-Arpitan #language-Northern Frisian #language-Friulian #language-Western Frisian #language-Irish #language-Gagauz #language-Gan Chinese #language-Guianese Creole French #language-Scottish Gaelic #language-Galician #language-Gilaki #language-Guarani #language-Goan Konkani #language-Gorontalo #language-Gothic #language-Ghanaian Pidgin English #language-Swiss German #language-Gujarati #language-Wayuu #language-Farefare #language-Gun #language-Manx #language-Hausa #language-Hakka Chinese #language-Hawaiian #language-Serbo-Croatian #language-Hebrew #language-Hindi #language-Fiji Hindi #language-Croatian #language-Upper Sorbian #language-Haitian #language-Hungarian #language-Armenian #language-Western Armenian #language-Interlingua (International Auxiliary Language Association) #language-Indonesian #language-Interlingue #language-Igbo #language-Inupiaq #language-Iloko #language-Ingush #language-Ido #language-Icelandic #language-Italian #language-Inuktitut #language-Japanese #language-Jamaican Creole English #language-Lojban #language-Javanese #language-Georgian #language-Kara-Kalpak #language-Kabyle #language-Kabardian #language-Kabiyè #language-Tyap #language-Kongo #language-Kikuyu #language-Kazakh #language-Kalaallisut #language-Khmer #language-Kannada #language-Korean #language-Komi-Permyak #language-Karachay-Balkar #language-Kashmiri #language-Kölsch #language-Kurdish #language-Komi #language-Cornish #language-Kirghiz #language-Latin #language-Ladino #language-Luxembourgish #language-Lak #language-Lezghian #language-Lingua Franca Nova #language-Ganda #language-Limburgan #language-Ligurian #language-Ladin #language-Lombard #language-Lingala #language-Lao #language-Lithuanian #language-Latgalian #language-Latvian #language-Literary Chinese #language-Madurese #language-Maithili #language-map #language-Moksha #language-Malagasy #language-Eastern Mari #language-Maori #language-Minangkabau #language-Macedonian #language-Malayalam #language-Mongolian #language-Manipuri #language-Mon #language-Marathi #language-Western Mari #language-Malay (macrolanguage) #language-Maltese #language-Mirandese #language-Burmese #language-Erzya #language-Mazanderani #language-nah #language-Min Nan Chinese #language-Neapolitan #language-Low German #language-Nepali (macrolanguage) #language-Newari #language-Nias #language-Dutch #language-Norwegian Nynorsk #language-Norwegian #language-Novial #language-N'Ko #language-Jèrriais #language-Pedi #language-Navajo #language-Nyanja #language-Occitan (post 1500) #language-Livvi #language-Oromo #language-Oriya (macrolanguage) #language-Ossetian #language-Panjabi #language-Pangasinan #language-Pampanga #language-Papiamento #language-Picard #language-Nigerian Pidgin #language-Pennsylvania German #language-Pfaelzisch #language-Pali #language-Pitcairn-Norfolk #language-Polish #language-Piemontese #language-Western Panjabi #language-Pontic #language-Pushto #language-Portuguese #language-Paiwan #language-Quechua #language-Romansh #language-Vlax Romani #language-Rundi #language-Romanian #language-Russian #language-Rusyn #language-Macedo-Romanian #language-Kinyarwanda #language-Sanskrit #language-Yakut #language-Santali #language-Sardinian #language-Sicilian #language-Scots #language-Sindhi #language-Northern Sami #language-Sango #language-Samogitian #language-Tachelhit #language-Shan #language-Sinhala #language-Slovak #language-Saraiki #language-Slovenian #language-Samoan #language-Inari Sami #language-Shona #language-Somali #language-Albanian #language-Serbian #language-Sranan Tongo #language-Swati #language-Southern Sotho #language-Saterfriesisch #language-Sundanese #language-Swedish #language-Swahili (macrolanguage) #language-Silesian #language-Sakizaya #language-Tamil #language-Atayal #language-Tulu #language-Telugu #language-Tetum #language-Tajik #language-Thai #language-Tigrinya #language-Turkmen #language-Tagalog #language-Talysh #language-Tswana #language-Tonga (Tonga Islands) 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# Dataset Card for Wikimedia Wikipedia

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: URL
- Repository:
- Paper:
- Point of Contact:

### Dataset Summary

Wikipedia dataset containing cleaned articles of all languages.

The dataset is built from the Wikipedia dumps (URL
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:


#### Data Visualization
Click the Nomic Atlas map below to visualize the 6.4 million samples in the 'URL' split.

<a href="URL
  <img src="URL alt="Nomic-Atlas Wikipedia Map" width="25%"/>
</a>

### Supported Tasks and Leaderboards

The dataset is generally used for Language Modeling.

### Languages

You can find the list of languages here: URL

## Dataset Structure

### Data Instances

An example looks as follows:


### 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



### Source Data

#### Initial Data Collection and Normalization

The dataset is built from the Wikipedia dumps: URL

You can find the full list of languages and dates here: URL

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: URL

#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information

Copyright licensing information: URL

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.




# Dataset Card for Wikimedia Wikipedia ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository:
- Paper:
- Point of Contact: ### Dataset Summary

Wikipedia dataset containing cleaned articles of all languages.

The dataset is built from the Wikipedia dumps (URL
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: #### Data Visualization
Click the Nomic Atlas map below to visualize the 6.4 million samples in the 'URL' split.

<a href="URL
  <img src="URL alt="Nomic-Atlas Wikipedia Map" width="25%"/>
</a> ### Supported Tasks and Leaderboards

The dataset is generally used for Language Modeling. ### Languages

You can find the list of languages here: URL ## Dataset Structure ### Data Instances

An example looks as follows: ### 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 ### Source Data #### Initial Data Collection and Normalization

The dataset is built from the Wikipedia dumps: URL

You can find the full list of languages and dates here: URL

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: URL #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

Copyright licensing information: URL

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.
TAGS
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 # Dataset Card for Wikimedia Wikipedia ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: URL
- Repository:
- Paper:
- Point of Contact: ### Dataset Summary

Wikipedia dataset containing cleaned articles of all languages.

The dataset is built from the Wikipedia dumps (URL
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: #### Data Visualization
Click the Nomic Atlas map below to visualize the 6.4 million samples in the 'URL' split.

<a href="URL
  <img src="URL alt="Nomic-Atlas Wikipedia Map" width="25%"/>
</a> ### Supported Tasks and Leaderboards

The dataset is generally used for Language Modeling. ### Languages

You can find the list of languages here: URL ## Dataset Structure ### Data Instances

An example looks as follows: ### 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 ### Source Data #### Initial Data Collection and Normalization

The dataset is built from the Wikipedia dumps: URL

You can find the full list of languages and dates here: URL

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: URL #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

Copyright licensing information: URL

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.