Hugging Face's logo

Datasets:
wikimedia
/
wikipedia

Tasks:
Text Generation
Fill-Mask
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
masked-language-modeling
Languages:
Abkhaz
Achinese
Adyghe
Size:
10M - 100M
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files Community
66
wikipedia / README.md
albertvillanova's picture
albertvillanova HF staff
Add 20231101.sr data files
09f324a
preview code
|
raw
history blame
12.6 kB
---
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.ca
data_files:
- split: train
path: 20231101.ca/train-*
- config_name: 20231101.es
data_files:
- split: train
path: 20231101.es/train-*
- config_name: 20231101.fa
data_files:
- split: train
path: 20231101.fa/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.pl
data_files:
- split: train
path: 20231101.pl/train-*
- config_name: 20231101.pt
data_files:
- split: train
path: 20231101.pt/train-*
- config_name: 20231101.ru
data_files:
- split: train
path: 20231101.ru/train-*
- config_name: 20231101.sr
data_files:
- split: train
path: 20231101.sr/train-*
- config_name: 20231101.uk
data_files:
- split: train
path: 20231101.uk/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-*
dataset_info:
- config_name: 20230701.ca
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 1927007948
num_examples: 730361
download_size: 1097512880
dataset_size: 1927007948
- config_name: 20230701.fa
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 1862091485
num_examples: 967199
download_size: 742864584
dataset_size: 1862091485
- config_name: 20231101.ar
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 3124486159
num_examples: 1219201
download_size: 1323304271
dataset_size: 3124486159
- config_name: 20231101.ca
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 1958810542
num_examples: 737409
download_size: 1116799343
dataset_size: 1958810542
- config_name: 20231101.es
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 6033536133
num_examples: 1841155
download_size: 3493595869
dataset_size: 6033536133
- config_name: 20231101.fa
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 1899154938
num_examples: 979869
download_size: 759368283
dataset_size: 1899154938
- config_name: 20231101.it
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 4924856310
num_examples: 1833639
download_size: 2931265519
dataset_size: 4924856310
- config_name: 20231101.ja
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 7039610767
num_examples: 1389467
download_size: 3941998526
dataset_size: 7039610767
- config_name: 20231101.pl
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 2950148809
num_examples: 1587721
download_size: 1765059986
dataset_size: 2950148809
- config_name: 20231101.pt
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 2758783436
num_examples: 1112246
download_size: 1579641059
dataset_size: 2758783436
- config_name: 20231101.ru
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 10277958919
num_examples: 1945063
download_size: 4876849588
dataset_size: 10277958919
- config_name: 20231101.sr
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 1721596392
num_examples: 676605
download_size: 697391786
dataset_size: 1721596392
- config_name: 20231101.uk
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 4969483901
num_examples: 1294720
download_size: 2276769383
dataset_size: 4969483901
- config_name: 20231101.vi
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 1617830227
num_examples: 1288680
download_size: 729557588
dataset_size: 1617830227
- config_name: 20231101.war
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 467647882
num_examples: 1266394
download_size: 104588442
dataset_size: 467647882
- config_name: 20231101.zh
features:
- name: id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 2790577882
num_examples: 1384748
download_size: 1721150260
dataset_size: 2790577882
language_bcp47:
- be-tarask
- en-simple
- zh-classical
- zh-min-nan
- zh-yue
---
# 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 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:
```python
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`](https://mwparserfromhell.readthedocs.io) 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](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"
}
```