README.md

metadata

language:
  - ab
  - ace
  - ady
  - af
  - alt
  - am
  - ami
  - an
  - ang
  - anp
  - ar
  - arc
  - ary
  - arz
  - as
  - ast
  - atj
  - av
  - avk
  - awa
  - ay
  - az
  - azb
  - ba
  - ban
  - bar
  - bbc
  - bcl
  - be
  - bg
  - bh
  - bi
  - bjn
  - blk
  - bm
  - bn
  - bo
  - bpy
  - br
  - bs
  - bug
  - bxr
  - ca
  - cbk
  - cdo
  - ce
  - ceb
  - ch
  - chr
  - chy
  - ckb
  - co
  - cr
  - crh
  - cs
  - csb
  - cu
  - cv
  - cy
  - da
  - dag
  - de
  - dga
  - din
  - diq
  - dsb
  - dty
  - dv
  - dz
  - ee
  - el
  - eml
  - en
  - eo
  - es
  - et
  - eu
  - ext
  - fa
  - fat
  - ff
  - fi
  - fj
  - fo
  - fon
  - fr
  - frp
  - frr
  - fur
  - fy
  - ga
  - gag
  - gan
  - gcr
  - gd
  - gl
  - glk
  - gn
  - gom
  - gor
  - got
  - gpe
  - gsw
  - gu
  - guc
  - gur
  - guw
  - gv
  - ha
  - hak
  - haw
  - he
  - hi
  - hif
  - hr
  - hsb
  - ht
  - hu
  - hy
  - hyw
  - ia
  - id
  - ie
  - ig
  - ik
  - ilo
  - inh
  - io
  - is
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  - map
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  - mn
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  - mr
  - mrj
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  - mwl
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  - myv
  - mzn
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  - nds
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  - new
  - nia
  - nl
  - nn
  - 'no'
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  - rn
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  - rue
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  - sah
  - sat
  - sc
  - scn
  - sco
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  - sg
  - sgs
  - sh
  - shi
  - shn
  - si
  - sk
  - skr
  - sl
  - sm
  - smn
  - sn
  - so
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  - sr
  - srn
  - ss
  - st
  - stq
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  - sw
  - szl
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  - tcy
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  - tt
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  - tw
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  - tyv
  - udm
  - ug
  - uk
  - ur
  - uz
  - ve
  - vec
  - vep
  - vi
  - vls
  - vo
  - vro
  - wa
  - war
  - wo
  - wuu
  - xal
  - xh
  - xmf
  - yi
  - yo
  - za
  - zea
  - zgh
  - zh
  - zu
license:
  - cc-by-sa-3.0
  - gfdl
size_categories:
  - n<1K
  - 1K<n<10K
  - 10K<n<100K
  - 100K<n<1M
  - 1M<n<10M
task_categories:
  - text-generation
  - fill-mask
task_ids:
  - language-modeling
  - masked-language-modeling
configs:
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  - config_name: 20230701.fa
    data_files:
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        path: 20230701.fa/train-*
  - config_name: 20231101.ar
    data_files:
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        path: 20231101.ar/train-*
  - config_name: 20231101.ca
    data_files:
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        path: 20231101.ca/train-*
  - config_name: 20231101.cs
    data_files:
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        path: 20231101.cs/train-*
  - config_name: 20231101.de
    data_files:
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        path: 20231101.de/train-*
  - config_name: 20231101.es
    data_files:
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        path: 20231101.es/train-*
  - config_name: 20231101.fa
    data_files:
      - split: train
        path: 20231101.fa/train-*
  - config_name: 20231101.fi
    data_files:
      - split: train
        path: 20231101.fi/train-*
  - config_name: 20231101.fr
    data_files:
      - split: train
        path: 20231101.fr/train-*
  - config_name: 20231101.hu
    data_files:
      - split: train
        path: 20231101.hu/train-*
  - config_name: 20231101.id
    data_files:
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        path: 20231101.id/train-*
  - config_name: 20231101.it
    data_files:
      - split: train
        path: 20231101.it/train-*
  - config_name: 20231101.ja
    data_files:
      - split: train
        path: 20231101.ja/train-*
  - config_name: 20231101.ko
    data_files:
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        path: 20231101.ko/train-*
  - config_name: 20231101.no
    data_files:
      - split: train
        path: 20231101.no/train-*
  - config_name: 20231101.pl
    data_files:
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        path: 20231101.pl/train-*
  - config_name: 20231101.pt
    data_files:
      - split: train
        path: 20231101.pt/train-*
  - config_name: 20231101.ru
    data_files:
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        path: 20231101.ru/train-*
  - config_name: 20231101.sh
    data_files:
      - split: train
        path: 20231101.sh/train-*
  - config_name: 20231101.sr
    data_files:
      - split: train
        path: 20231101.sr/train-*
  - config_name: 20231101.tr
    data_files:
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        path: 20231101.tr/train-*
  - config_name: 20231101.uk
    data_files:
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        path: 20231101.uk/train-*
  - config_name: 20231101.vi
    data_files:
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        path: 20231101.vi/train-*
  - config_name: 20231101.war
    data_files:
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        path: 20231101.war/train-*
  - config_name: 20231101.zh
    data_files:
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        path: 20231101.zh/train-*
dataset_info:
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    features:
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      - name: url
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      - name: title
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      - name: text
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  - config_name: 20231101.ar
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  - config_name: 20231101.es
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language_bcp47:
  - be-tarask
  - en-simple
  - zh-classical
  - zh-min-nan
  - zh-yue

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: 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 conatining 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

load_dataset("wikipedia", "20231101.en")

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.

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"
}