Datasets:
Multilinguality:
multilingual
Language Creators:
crowdsourced
Annotations Creators:
no-annotation
Source Datasets:
original
License:
| 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. |