Datasets:
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
- it
- iu
- ja
- jam
- jbo
- jv
- ka
- kaa
- kab
- kbd
- kbp
- kcg
- kg
- ki
- kk
- kl
- km
- kn
- ko
- koi
- krc
- ks
- ksh
- ku
- kv
- kw
- ky
- la
- lad
- lb
- lbe
- lez
- lfn
- lg
- li
- lij
- lld
- lmo
- ln
- lo
- lt
- ltg
- lv
- mad
- mai
- map
- mdf
- mg
- mhr
- mi
- min
- mk
- ml
- mn
- mni
- mnw
- mr
- mrj
- ms
- mt
- mwl
- my
- myv
- mzn
- nah
- nap
- nds
- nds
- ne
- new
- nia
- nl
- nn
- 'no'
- nov
- nqo
- nrf
- nso
- nv
- ny
- oc
- olo
- om
- or
- os
- pa
- pag
- pam
- pap
- pcd
- pcm
- pdc
- pfl
- pi
- pih
- pl
- pms
- pnb
- pnt
- ps
- pt
- pwn
- qu
- rm
- rmy
- rn
- ro
- ru
- rue
- rup
- rw
- sa
- sah
- sat
- sc
- scn
- sco
- sd
- se
- sg
- sgs
- sh
- shi
- shn
- si
- sk
- skr
- sl
- sm
- smn
- sn
- so
- sq
- sr
- srn
- ss
- st
- stq
- su
- sv
- sw
- szl
- szy
- ta
- tay
- tcy
- te
- tet
- tg
- th
- ti
- tk
- tl
- tly
- tn
- to
- tpi
- tr
- trv
- ts
- tt
- tum
- tw
- ty
- 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:
- config_name: 20230701.ca
data_files:
- split: train
path: 20230701.ca/train-*
- config_name: 20230701.fa
data_files:
- split: train
path: 20230701.fa/train-*
- config_name: 20231101.ar
data_files:
- split: train
path: 20231101.ar/train-*
- config_name: 20231101.be
data_files:
- split: train
path: 20231101.be/train-*
- config_name: 20231101.bg
data_files:
- split: train
path: 20231101.bg/train-*
- config_name: 20231101.ca
data_files:
- split: train
path: 20231101.ca/train-*
- config_name: 20231101.cs
data_files:
- split: train
path: 20231101.cs/train-*
- config_name: 20231101.da
data_files:
- split: train
path: 20231101.da/train-*
- config_name: 20231101.de
data_files:
- split: train
path: 20231101.de/train-*
- config_name: 20231101.eo
data_files:
- split: train
path: 20231101.eo/train-*
- config_name: 20231101.es
data_files:
- split: train
path: 20231101.es/train-*
- config_name: 20231101.et
data_files:
- split: train
path: 20231101.et/train-*
- config_name: 20231101.eu
data_files:
- split: train
path: 20231101.eu/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.he
data_files:
- split: train
path: 20231101.he/train-*
- config_name: 20231101.hu
data_files:
- split: train
path: 20231101.hu/train-*
- config_name: 20231101.hy
data_files:
- split: train
path: 20231101.hy/train-*
- config_name: 20231101.id
data_files:
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path: 20231101.id/train-*
- config_name: 20231101.it
data_files:
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path: 20231101.it/train-*
- config_name: 20231101.ja
data_files:
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path: 20231101.ja/train-*
- config_name: 20231101.kk
data_files:
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path: 20231101.kk/train-*
- config_name: 20231101.ko
data_files:
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path: 20231101.ko/train-*
- config_name: 20231101.ms
data_files:
- split: train
path: 20231101.ms/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:
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path: 20231101.pt/train-*
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data_files:
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path: 20231101.ro/train-*
- config_name: 20231101.ru
data_files:
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path: 20231101.ru/train-*
- config_name: 20231101.sh
data_files:
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path: 20231101.sh/train-*
- config_name: 20231101.simple
data_files:
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path: 20231101.simple/train-*
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data_files:
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path: 20231101.sk/train-*
- config_name: 20231101.sr
data_files:
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path: 20231101.sr/train-*
- config_name: 20231101.tr
data_files:
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path: 20231101.tr/train-*
- config_name: 20231101.uk
data_files:
- split: train
path: 20231101.uk/train-*
- config_name: 20231101.uz
data_files:
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path: 20231101.uz/train-*
- config_name: 20231101.vi
data_files:
- split: train
path: 20231101.vi/train-*
- config_name: 20231101.war
data_files:
- split: train
path: 20231101.war/train-*
- config_name: 20231101.zh
data_files:
- split: train
path: 20231101.zh/train-*
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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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
@ONLINE{wikidump,
author = "Wikimedia Foundation",
title = "Wikimedia Downloads",
url = "https://dumps.wikimedia.org"
}