README.md

---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
pretty_name: Wikipedia
paperswithcode_id: null
licenses:
- cc-by-sa-3-0
- gfdl-1-3-or-later
task_categories:
- sequence-modeling
task_ids:
- language-modeling
source_datasets:
- original
multilinguality:
- multilingual
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
- 100K<n<1M
- 1M<n<10M
languages:
  20220301-aa:
  - aa
  20220301-ab:
  - ab
  20220301-ace:
  - ace
  20220301-ady:
  - unknown
  20220301-af:
  - af
  20220301-ak:
  - ak
  20220301-als:
  - als
  20220301-am:
  - am
  20220301-an:
  - an
  20220301-ang:
  - ang
  20220301-ar:
  - ar
  20220301-arc:
  - arc
  20220301-arz:
  - arz
  20220301-as:
  - as
  20220301-ast:
  - ast
  20220301-atj:
  - atj
  20220301-av:
  - av
  20220301-ay:
  - ay
  20220301-az:
  - az
  20220301-azb:
  - azb
  20220301-ba:
  - ba
  20220301-bar:
  - bar
  20220301-bat-smg:
  - sgs
  20220301-bcl:
  - bcl
  20220301-be:
  - be
  20220301-be-x-old:
  - unknown
  20220301-bg:
  - bg
  20220301-bh:
  - bh
  20220301-bi:
  - bi
  20220301-bjn:
  - bjn
  20220301-bm:
  - bm
  20220301-bn:
  - bn
  20220301-bo:
  - bo
  20220301-bpy:
  - bpy
  20220301-br:
  - br
  20220301-bs:
  - bs
  20220301-bug:
  - bug
  20220301-bxr:
  - bxr
  20220301-ca:
  - ca
  20220301-cbk-zam:
  - cbk
  20220301-cdo:
  - cdo
  20220301-ce:
  - ce
  20220301-ceb:
  - ceb
  20220301-ch:
  - ch
  20220301-cho:
  - cho
  20220301-chr:
  - chr
  20220301-chy:
  - chy
  20220301-ckb:
  - ckb
  20220301-co:
  - co
  20220301-cr:
  - cr
  20220301-crh:
  - crh
  20220301-cs:
  - cs
  20220301-csb:
  - csb
  20220301-cu:
  - cu
  20220301-cv:
  - cv
  20220301-cy:
  - cy
  20220301-da:
  - da
  20220301-de:
  - de
  20220301-din:
  - din
  20220301-diq:
  - diq
  20220301-dsb:
  - dsb
  20220301-dty:
  - dty
  20220301-dv:
  - dv
  20220301-dz:
  - dz
  20220301-ee:
  - ee
  20220301-el:
  - el
  20220301-eml:
  - eml
  20220301-en:
  - en
  20220301-eo:
  - eo
  20220301-es:
  - es
  20220301-et:
  - et
  20220301-eu:
  - eu
  20220301-ext:
  - ext
  20220301-fa:
  - fa
  20220301-ff:
  - ff
  20220301-fi:
  - fi
  20220301-fiu-vro:
  - vro
  20220301-fj:
  - fj
  20220301-fo:
  - fo
  20220301-fr:
  - fr
  20220301-frp:
  - frp
  20220301-frr:
  - frr
  20220301-fur:
  - fur
  20220301-fy:
  - fy
  20220301-ga:
  - ga
  20220301-gag:
  - gag
  20220301-gan:
  - gan
  20220301-gd:
  - gd
  20220301-gl:
  - gl
  20220301-glk:
  - glk
  20220301-gn:
  - gn
  20220301-gom:
  - gom
  20220301-gor:
  - gor
  20220301-got:
  - got
  20220301-gu:
  - gu
  20220301-gv:
  - gv
  20220301-ha:
  - ha
  20220301-hak:
  - hak
  20220301-haw:
  - haw
  20220301-he:
  - he
  20220301-hi:
  - hi
  20220301-hif:
  - hif
  20220301-ho:
  - ho
  20220301-hr:
  - hr
  20220301-hsb:
  - hsb
  20220301-ht:
  - ht
  20220301-hu:
  - hu
  20220301-hy:
  - hy
  20220301-ia:
  - ia
  20220301-id:
  - id
  20220301-ie:
  - ie
  20220301-ig:
  - ig
  20220301-ii:
  - ii
  20220301-ik:
  - ik
  20220301-ilo:
  - ilo
  20220301-inh:
  - inh
  20220301-io:
  - io
  20220301-is:
  - is
  20220301-it:
  - it
  20220301-iu:
  - iu
  20220301-ja:
  - ja
  20220301-jam:
  - jam
  20220301-jbo:
  - jbo
  20220301-jv:
  - jv
  20220301-ka:
  - ka
  20220301-kaa:
  - kaa
  20220301-kab:
  - kab
  20220301-kbd:
  - kbd
  20220301-kbp:
  - kbp
  20220301-kg:
  - kg
  20220301-ki:
  - ki
  20220301-kj:
  - kj
  20220301-kk:
  - kk
  20220301-kl:
  - kl
  20220301-km:
  - km
  20220301-kn:
  - kn
  20220301-ko:
  - ko
  20220301-koi:
  - koi
  20220301-krc:
  - krc
  20220301-ks:
  - ks
  20220301-ksh:
  - ksh
  20220301-ku:
  - ku
  20220301-kv:
  - kv
  20220301-kw:
  - kw
  20220301-ky:
  - ky
  20220301-la:
  - la
  20220301-lad:
  - lad
  20220301-lb:
  - lb
  20220301-lbe:
  - lbe
  20220301-lez:
  - lez
  20220301-lfn:
  - lfn
  20220301-lg:
  - lg
  20220301-li:
  - li
  20220301-lij:
  - lij
  20220301-lmo:
  - lmo
  20220301-ln:
  - ln
  20220301-lo:
  - lo
  20220301-lrc:
  - lrc
  20220301-lt:
  - lt
  20220301-ltg:
  - ltg
  20220301-lv:
  - lv
  20220301-mai:
  - mai
  20220301-map-bms:
  - unknown
  20220301-mdf:
  - mdf
  20220301-mg:
  - mg
  20220301-mh:
  - mh
  20220301-mhr:
  - mhr
  20220301-mi:
  - mi
  20220301-min:
  - min
  20220301-mk:
  - mk
  20220301-ml:
  - ml
  20220301-mn:
  - mn
  20220301-mr:
  - mr
  20220301-mrj:
  - mrj
  20220301-ms:
  - ms
  20220301-mt:
  - mt
  20220301-mus:
  - mus
  20220301-mwl:
  - mwl
  20220301-my:
  - my
  20220301-myv:
  - myv
  20220301-mzn:
  - mzn
  20220301-na:
  - na
  20220301-nah:
  - nah
  20220301-nap:
  - nap
  20220301-nds:
  - nds
  20220301-nds-nl:
  - nds-nl
  20220301-ne:
  - ne
  20220301-new:
  - new
  20220301-ng:
  - ng
  20220301-nl:
  - nl
  20220301-nn:
  - nn
  20220301-no:
  - "no"
  20220301-nov:
  - nov
  20220301-nrm:
  - nrf
  20220301-nso:
  - nso
  20220301-nv:
  - nv
  20220301-ny:
  - ny
  20220301-oc:
  - oc
  20220301-olo:
  - olo
  20220301-om:
  - om
  20220301-or:
  - or
  20220301-os:
  - os
  20220301-pa:
  - pa
  20220301-pag:
  - pag
  20220301-pam:
  - pam
  20220301-pap:
  - pap
  20220301-pcd:
  - pcd
  20220301-pdc:
  - pdc
  20220301-pfl:
  - pfl
  20220301-pi:
  - pi
  20220301-pih:
  - pih
  20220301-pl:
  - pl
  20220301-pms:
  - pms
  20220301-pnb:
  - pnb
  20220301-pnt:
  - pnt
  20220301-ps:
  - ps
  20220301-pt:
  - pt
  20220301-qu:
  - qu
  20220301-rm:
  - rm
  20220301-rmy:
  - rmy
  20220301-rn:
  - rn
  20220301-ro:
  - ro
  20220301-roa-rup:
  - rup
  20220301-roa-tara:
  - unknown
  20220301-ru:
  - ru
  20220301-rue:
  - rue
  20220301-rw:
  - rw
  20220301-sa:
  - sa
  20220301-sah:
  - sah
  20220301-sat:
  - sat
  20220301-sc:
  - sc
  20220301-scn:
  - scn
  20220301-sco:
  - sco
  20220301-sd:
  - sd
  20220301-se:
  - se
  20220301-sg:
  - sg
  20220301-sh:
  - sh
  20220301-si:
  - si
  20220301-simple:
  - simple
  20220301-sk:
  - sk
  20220301-sl:
  - sl
  20220301-sm:
  - sm
  20220301-sn:
  - sn
  20220301-so:
  - so
  20220301-sq:
  - sq
  20220301-sr:
  - sr
  20220301-srn:
  - srn
  20220301-ss:
  - ss
  20220301-st:
  - st
  20220301-stq:
  - stq
  20220301-su:
  - su
  20220301-sv:
  - sv
  20220301-sw:
  - sw
  20220301-szl:
  - szl
  20220301-ta:
  - ta
  20220301-tcy:
  - tcy
  20220301-te:
  - te
  20220301-tet:
  - tdt
  20220301-tg:
  - tg
  20220301-th:
  - th
  20220301-ti:
  - ti
  20220301-tk:
  - tk
  20220301-tl:
  - tl
  20220301-tn:
  - tn
  20220301-to:
  - to
  20220301-tpi:
  - tpi
  20220301-tr:
  - tr
  20220301-ts:
  - ts
  20220301-tt:
  - tt
  20220301-tum:
  - tum
  20220301-tw:
  - tw
  20220301-ty:
  - ty
  20220301-tyv:
  - tyv
  20220301-udm:
  - udm
  20220301-ug:
  - ug
  20220301-uk:
  - uk
  20220301-ur:
  - ur
  20220301-uz:
  - uz
  20220301-ve:
  - ve
  20220301-vec:
  - vec
  20220301-vep:
  - vep
  20220301-vi:
  - vi
  20220301-vls:
  - vls
  20220301-vo:
  - vo
  20220301-wa:
  - wa
  20220301-war:
  - war
  20220301-wo:
  - wo
  20220301-wuu:
  - wuu
  20220301-xal:
  - xal
  20220301-xh:
  - xh
  20220301-xmf:
  - xmf
  20220301-yi:
  - yi
  20220301-yo:
  - yo
  20220301-za:
  - za
  20220301-zea:
  - zea
  20220301-zh:
  - zh
  20220301-zh-classical:
  - lzh
  20220301-zh-min-nan:
  - nan
  20220301-zh-yue:
  - yue
  20220301-zu:
  - zu
---

# Dataset Card for Wikipedia

## 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:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Dataset Summary

Wikipedia dataset containing cleaned articles of all languages.
The datasets are built from the Wikipedia dump
(https://dumps.wikimedia.org/) with one split per language. Each example
contains the content of one full Wikipedia article with cleaning to strip
markdown and unwanted sections (references, etc.).

The articles are parsed using the ``mwparserfromhell`` tool.

To load this dataset you need to install Apache Beam and ``mwparserfromhell`` first:

```
pip install apache_beam mwparserfromhell
```

Then, you can load any subset of Wikipedia per language and per date this way:

```python
from datasets import load_dataset

load_dataset("wikipedia", language="sw", date="20220120", beam_runner=...)
```
where you can pass as `beam_runner` any Apache Beam supported runner for (distributed) data processing 
(see [here](https://beam.apache.org/documentation/runners/capability-matrix/)).
Pass "DirectRunner" to run it on your machine. 

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

Some subsets of Wikipedia have already been processed by HuggingFace, and you can load them just with:
```python
from datasets import load_dataset

load_dataset("wikipedia", "20220301.en")
```

The list of pre-processed subsets is:
- "20220301.de"
- "20220301.en"
- "20220301.fr"
- "20220301.frr"
- "20220301.it"
- "20220301.simple"

### 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

We show detailed information for up to 5 configurations of the dataset.

### Data Instances

An example looks as follows:

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

Some subsets of Wikipedia have already been processed by HuggingFace, as you can see below:

#### 20220301.de

- **Size of downloaded dataset files:** 6523.22 MB
- **Size of the generated dataset:** 8905.28 MB
- **Total amount of disk used:** 15428.50 MB

#### 20220301.en

- **Size of downloaded dataset files:** 20598.31 MB
- **Size of the generated dataset:** 20275.52 MB
- **Total amount of disk used:** 40873.83 MB

#### 20220301.fr

- **Size of downloaded dataset files:** 5602.57 MB
- **Size of the generated dataset:** 7375.92 MB
- **Total amount of disk used:** 12978.49 MB

#### 20220301.frr

- **Size of downloaded dataset files:** 12.44 MB
- **Size of the generated dataset:** 9.13 MB
- **Total amount of disk used:** 21.57 MB

#### 20220301.it

- **Size of downloaded dataset files:** 3516.44 MB
- **Size of the generated dataset:** 4539.94 MB
- **Total amount of disk used:** 8056.39 MB

#### 20220301.simple

- **Size of downloaded dataset files:** 239.68 MB
- **Size of the generated dataset:** 235.07 MB
- **Total amount of disk used:** 474.76 MB

### 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

Here are the number of examples for several configurations:

| name            |   train |
|-----------------|--------:|
| 20220301.de     | 2665357 |
| 20220301.en     | 6458670 |
| 20220301.fr     | 2402095 |
| 20220301.frr    |   15199 |
| 20220301.it     | 1743035 |
| 20220301.simple |  205328 |

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

Most of Wikipedia's text and many of its images are co-licensed under the
[Creative Commons Attribution-ShareAlike 3.0 Unported License](https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License)
(CC BY-SA) and the [GNU Free Documentation License](https://en.wikipedia.org/wiki/Wikipedia:Text_of_the_GNU_Free_Documentation_License)
(GFDL) (unversioned, with no invariant sections, front-cover texts, or back-cover texts). 

Some text has been imported only under CC BY-SA and CC BY-SA-compatible license and cannot be reused under GFDL; such
text will be identified on the page footer, in the page history, or on the discussion page of the article that utilizes
the text.

### Citation Information

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

### Contributions

Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.