|
--- |
|
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 |
|
- 10M<n<100M |
|
languages: |
|
20200501-aa: |
|
- aa |
|
20200501-ab: |
|
- ab |
|
20200501-ace: |
|
- ace |
|
20200501-ady: |
|
- unknown |
|
20200501-af: |
|
- af |
|
20200501-ak: |
|
- ak |
|
20200501-als: |
|
- als |
|
20200501-am: |
|
- am |
|
20200501-an: |
|
- an |
|
20200501-ang: |
|
- ang |
|
20200501-ar: |
|
- ar |
|
20200501-arc: |
|
- arc |
|
20200501-arz: |
|
- arz |
|
20200501-as: |
|
- as |
|
20200501-ast: |
|
- ast |
|
20200501-atj: |
|
- atj |
|
20200501-av: |
|
- av |
|
20200501-ay: |
|
- ay |
|
20200501-az: |
|
- az |
|
20200501-azb: |
|
- azb |
|
20200501-ba: |
|
- ba |
|
20200501-bar: |
|
- bar |
|
20200501-bat-smg: |
|
- sgs |
|
20200501-bcl: |
|
- bcl |
|
20200501-be: |
|
- be |
|
20200501-be-x-old: |
|
- unknown |
|
20200501-bg: |
|
- bg |
|
20200501-bh: |
|
- bh |
|
20200501-bi: |
|
- bi |
|
20200501-bjn: |
|
- bjn |
|
20200501-bm: |
|
- bm |
|
20200501-bn: |
|
- bn |
|
20200501-bo: |
|
- bo |
|
20200501-bpy: |
|
- bpy |
|
20200501-br: |
|
- br |
|
20200501-bs: |
|
- bs |
|
20200501-bug: |
|
- bug |
|
20200501-bxr: |
|
- bxr |
|
20200501-ca: |
|
- ca |
|
20200501-cbk-zam: |
|
- cbk |
|
20200501-cdo: |
|
- cdo |
|
20200501-ce: |
|
- ce |
|
20200501-ceb: |
|
- ceb |
|
20200501-ch: |
|
- ch |
|
20200501-cho: |
|
- cho |
|
20200501-chr: |
|
- chr |
|
20200501-chy: |
|
- chy |
|
20200501-ckb: |
|
- ckb |
|
20200501-co: |
|
- co |
|
20200501-cr: |
|
- cr |
|
20200501-crh: |
|
- crh |
|
20200501-cs: |
|
- cs |
|
20200501-csb: |
|
- csb |
|
20200501-cu: |
|
- cu |
|
20200501-cv: |
|
- cv |
|
20200501-cy: |
|
- cy |
|
20200501-da: |
|
- da |
|
20200501-de: |
|
- de |
|
20200501-din: |
|
- din |
|
20200501-diq: |
|
- diq |
|
20200501-dsb: |
|
- dsb |
|
20200501-dty: |
|
- dty |
|
20200501-dv: |
|
- dv |
|
20200501-dz: |
|
- dz |
|
20200501-ee: |
|
- ee |
|
20200501-el: |
|
- el |
|
20200501-eml: |
|
- eml |
|
20200501-en: |
|
- en |
|
20200501-eo: |
|
- eo |
|
20200501-es: |
|
- es |
|
20200501-et: |
|
- et |
|
20200501-eu: |
|
- eu |
|
20200501-ext: |
|
- ext |
|
20200501-fa: |
|
- fa |
|
20200501-ff: |
|
- ff |
|
20200501-fi: |
|
- fi |
|
20200501-fiu-vro: |
|
- vro |
|
20200501-fj: |
|
- fj |
|
20200501-fo: |
|
- fo |
|
20200501-fr: |
|
- fr |
|
20200501-frp: |
|
- frp |
|
20200501-frr: |
|
- frr |
|
20200501-fur: |
|
- fur |
|
20200501-fy: |
|
- fy |
|
20200501-ga: |
|
- ga |
|
20200501-gag: |
|
- gag |
|
20200501-gan: |
|
- gan |
|
20200501-gd: |
|
- gd |
|
20200501-gl: |
|
- gl |
|
20200501-glk: |
|
- glk |
|
20200501-gn: |
|
- gn |
|
20200501-gom: |
|
- gom |
|
20200501-gor: |
|
- gor |
|
20200501-got: |
|
- got |
|
20200501-gu: |
|
- gu |
|
20200501-gv: |
|
- gv |
|
20200501-ha: |
|
- ha |
|
20200501-hak: |
|
- hak |
|
20200501-haw: |
|
- haw |
|
20200501-he: |
|
- he |
|
20200501-hi: |
|
- hi |
|
20200501-hif: |
|
- hif |
|
20200501-ho: |
|
- ho |
|
20200501-hr: |
|
- hr |
|
20200501-hsb: |
|
- hsb |
|
20200501-ht: |
|
- ht |
|
20200501-hu: |
|
- hu |
|
20200501-hy: |
|
- hy |
|
20200501-ia: |
|
- ia |
|
20200501-id: |
|
- id |
|
20200501-ie: |
|
- ie |
|
20200501-ig: |
|
- ig |
|
20200501-ii: |
|
- ii |
|
20200501-ik: |
|
- ik |
|
20200501-ilo: |
|
- ilo |
|
20200501-inh: |
|
- inh |
|
20200501-io: |
|
- io |
|
20200501-is: |
|
- is |
|
20200501-it: |
|
- it |
|
20200501-iu: |
|
- iu |
|
20200501-ja: |
|
- ja |
|
20200501-jam: |
|
- jam |
|
20200501-jbo: |
|
- jbo |
|
20200501-jv: |
|
- jv |
|
20200501-ka: |
|
- ka |
|
20200501-kaa: |
|
- kaa |
|
20200501-kab: |
|
- kab |
|
20200501-kbd: |
|
- kbd |
|
20200501-kbp: |
|
- kbp |
|
20200501-kg: |
|
- kg |
|
20200501-ki: |
|
- ki |
|
20200501-kj: |
|
- kj |
|
20200501-kk: |
|
- kk |
|
20200501-kl: |
|
- kl |
|
20200501-km: |
|
- km |
|
20200501-kn: |
|
- kn |
|
20200501-ko: |
|
- ko |
|
20200501-koi: |
|
- koi |
|
20200501-krc: |
|
- krc |
|
20200501-ks: |
|
- ks |
|
20200501-ksh: |
|
- ksh |
|
20200501-ku: |
|
- ku |
|
20200501-kv: |
|
- kv |
|
20200501-kw: |
|
- kw |
|
20200501-ky: |
|
- ky |
|
20200501-la: |
|
- la |
|
20200501-lad: |
|
- lad |
|
20200501-lb: |
|
- lb |
|
20200501-lbe: |
|
- lbe |
|
20200501-lez: |
|
- lez |
|
20200501-lfn: |
|
- lfn |
|
20200501-lg: |
|
- lg |
|
20200501-li: |
|
- li |
|
20200501-lij: |
|
- lij |
|
20200501-lmo: |
|
- lmo |
|
20200501-ln: |
|
- ln |
|
20200501-lo: |
|
- lo |
|
20200501-lrc: |
|
- lrc |
|
20200501-lt: |
|
- lt |
|
20200501-ltg: |
|
- ltg |
|
20200501-lv: |
|
- lv |
|
20200501-mai: |
|
- mai |
|
20200501-map-bms: |
|
- unknown |
|
20200501-mdf: |
|
- mdf |
|
20200501-mg: |
|
- mg |
|
20200501-mh: |
|
- mh |
|
20200501-mhr: |
|
- mhr |
|
20200501-mi: |
|
- mi |
|
20200501-min: |
|
- min |
|
20200501-mk: |
|
- mk |
|
20200501-ml: |
|
- ml |
|
20200501-mn: |
|
- mn |
|
20200501-mr: |
|
- mr |
|
20200501-mrj: |
|
- mrj |
|
20200501-ms: |
|
- ms |
|
20200501-mt: |
|
- mt |
|
20200501-mus: |
|
- mus |
|
20200501-mwl: |
|
- mwl |
|
20200501-my: |
|
- my |
|
20200501-myv: |
|
- myv |
|
20200501-mzn: |
|
- mzn |
|
20200501-na: |
|
- na |
|
20200501-nah: |
|
- nah |
|
20200501-nap: |
|
- nap |
|
20200501-nds: |
|
- nds |
|
20200501-nds-nl: |
|
- nds-nl |
|
20200501-ne: |
|
- ne |
|
20200501-new: |
|
- new |
|
20200501-ng: |
|
- ng |
|
20200501-nl: |
|
- nl |
|
20200501-nn: |
|
- nn |
|
20200501-no: |
|
- "no" |
|
20200501-nov: |
|
- nov |
|
20200501-nrm: |
|
- nrf |
|
20200501-nso: |
|
- nso |
|
20200501-nv: |
|
- nv |
|
20200501-ny: |
|
- ny |
|
20200501-oc: |
|
- oc |
|
20200501-olo: |
|
- olo |
|
20200501-om: |
|
- om |
|
20200501-or: |
|
- or |
|
20200501-os: |
|
- os |
|
20200501-pa: |
|
- pa |
|
20200501-pag: |
|
- pag |
|
20200501-pam: |
|
- pam |
|
20200501-pap: |
|
- pap |
|
20200501-pcd: |
|
- pcd |
|
20200501-pdc: |
|
- pdc |
|
20200501-pfl: |
|
- pfl |
|
20200501-pi: |
|
- pi |
|
20200501-pih: |
|
- pih |
|
20200501-pl: |
|
- pl |
|
20200501-pms: |
|
- pms |
|
20200501-pnb: |
|
- pnb |
|
20200501-pnt: |
|
- pnt |
|
20200501-ps: |
|
- ps |
|
20200501-pt: |
|
- pt |
|
20200501-qu: |
|
- qu |
|
20200501-rm: |
|
- rm |
|
20200501-rmy: |
|
- rmy |
|
20200501-rn: |
|
- rn |
|
20200501-ro: |
|
- ro |
|
20200501-roa-rup: |
|
- rup |
|
20200501-roa-tara: |
|
- unknown |
|
20200501-ru: |
|
- ru |
|
20200501-rue: |
|
- rue |
|
20200501-rw: |
|
- rw |
|
20200501-sa: |
|
- sa |
|
20200501-sah: |
|
- sah |
|
20200501-sat: |
|
- sat |
|
20200501-sc: |
|
- sc |
|
20200501-scn: |
|
- scn |
|
20200501-sco: |
|
- sco |
|
20200501-sd: |
|
- sd |
|
20200501-se: |
|
- se |
|
20200501-sg: |
|
- sg |
|
20200501-sh: |
|
- sh |
|
20200501-si: |
|
- si |
|
20200501-simple: |
|
- simple |
|
20200501-sk: |
|
- sk |
|
20200501-sl: |
|
- sl |
|
20200501-sm: |
|
- sm |
|
20200501-sn: |
|
- sn |
|
20200501-so: |
|
- so |
|
20200501-sq: |
|
- sq |
|
20200501-sr: |
|
- sr |
|
20200501-srn: |
|
- srn |
|
20200501-ss: |
|
- ss |
|
20200501-st: |
|
- st |
|
20200501-stq: |
|
- stq |
|
20200501-su: |
|
- su |
|
20200501-sv: |
|
- sv |
|
20200501-sw: |
|
- sw |
|
20200501-szl: |
|
- szl |
|
20200501-ta: |
|
- ta |
|
20200501-tcy: |
|
- tcy |
|
20200501-te: |
|
- te |
|
20200501-tet: |
|
- tdt |
|
20200501-tg: |
|
- tg |
|
20200501-th: |
|
- th |
|
20200501-ti: |
|
- ti |
|
20200501-tk: |
|
- tk |
|
20200501-tl: |
|
- tl |
|
20200501-tn: |
|
- tn |
|
20200501-to: |
|
- to |
|
20200501-tpi: |
|
- tpi |
|
20200501-tr: |
|
- tr |
|
20200501-ts: |
|
- ts |
|
20200501-tt: |
|
- tt |
|
20200501-tum: |
|
- tum |
|
20200501-tw: |
|
- tw |
|
20200501-ty: |
|
- ty |
|
20200501-tyv: |
|
- tyv |
|
20200501-udm: |
|
- udm |
|
20200501-ug: |
|
- ug |
|
20200501-uk: |
|
- uk |
|
20200501-ur: |
|
- ur |
|
20200501-uz: |
|
- uz |
|
20200501-ve: |
|
- ve |
|
20200501-vec: |
|
- vec |
|
20200501-vep: |
|
- vep |
|
20200501-vi: |
|
- vi |
|
20200501-vls: |
|
- vls |
|
20200501-vo: |
|
- vo |
|
20200501-wa: |
|
- wa |
|
20200501-war: |
|
- war |
|
20200501-wo: |
|
- wo |
|
20200501-wuu: |
|
- wuu |
|
20200501-xal: |
|
- xal |
|
20200501-xh: |
|
- xh |
|
20200501-xmf: |
|
- xmf |
|
20200501-yi: |
|
- yi |
|
20200501-yo: |
|
- yo |
|
20200501-za: |
|
- za |
|
20200501-zea: |
|
- zea |
|
20200501-zh: |
|
- zh |
|
20200501-zh-classical: |
|
- lzh |
|
20200501-zh-min-nan: |
|
- nan |
|
20200501-zh-yue: |
|
- yue |
|
20200501-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) |
|
- **Size of downloaded dataset files:** 30739.25 MB |
|
- **Size of the generated dataset:** 35376.35 MB |
|
- **Total amount of disk used:** 66115.60 MB |
|
|
|
### 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 have been parsed using the ``mwparserfromhell`` tool. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Languages |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Dataset Structure |
|
|
|
We show detailed information for up to 5 configurations of the dataset. |
|
|
|
### Data Instances |
|
|
|
|
|
#### 20200501.en |
|
|
|
- **Size of downloaded dataset files:** 17396.28 MB |
|
- **Size of the generated dataset:** 17481.07 MB |
|
- **Total amount of disk used:** 34877.35 MB |
|
|
|
An example looks as follows. |
|
``` |
|
{ |
|
'title': 'Yangliuqing', |
|
'text': 'Yangliuqing () is a market town in Xiqing District, in the western suburbs of Tianjin, |
|
... |
|
and traditional period furnishings and crafts.\n\nSee also \n\nList of township-level divisions of Tianjin\n\nReferences \n\n |
|
http://arts.cultural-china.com/en/65Arts4795.html\n\nCategory:Towns in Tianjin' |
|
} |
|
``` |
|
|
|
#### 20200501.de |
|
|
|
- **Size of downloaded dataset files:** 5531.82 MB |
|
- **Size of the generated dataset:** 7716.79 MB |
|
- **Total amount of disk used:** 13248.61 MB |
|
|
|
#### 20200501.fr |
|
|
|
- **Size of downloaded dataset files:** 4653.55 MB |
|
- **Size of the generated dataset:** 6182.24 MB |
|
- **Total amount of disk used:** 10835.79 MB |
|
|
|
#### 20200501.frr |
|
|
|
- **Size of downloaded dataset files:** 9.05 MB |
|
- **Size of the generated dataset:** 5.88 MB |
|
- **Total amount of disk used:** 14.93 MB |
|
|
|
#### 20200501.it |
|
|
|
- **Size of downloaded dataset files:** 2970.57 MB |
|
- **Size of the generated dataset:** 3809.89 MB |
|
- **Total amount of disk used:** 6780.46 MB |
|
|
|
### Data Fields |
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The data fields are the same among all splits and configurations: |
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- `title`: a `string` feature corresponding to the title of the article |
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- `text`: a `string` feature corresponding to the text content of the article |
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### Data Splits |
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Here are the sizes for several configurations: |
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| name | train | |
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|------------|------:| |
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|20200501.de |3140341| |
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|20200501.en |6078422| |
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|20200501.fr |2210508| |
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|20200501.frr| 11803| |
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|20200501.it |1931197| |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Discussion of Biases |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Licensing Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Citation Information |
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``` |
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@ONLINE {wikidump, |
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author = "Wikimedia Foundation", |
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title = "Wikimedia Downloads", |
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url = "https://dumps.wikimedia.org" |
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} |
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``` |
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### Contributions |
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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. |
