Datasets

13

cc100

This corpus is an attempt to recreate the dataset used for training XLM-R. This corpus comprises of monolingual data for 100+ languages and also includes data for romanized languages (indicated by *_rom). This was constructed using the urls and paragraph indices provided by the CC-Net repository by processing January-December 2018 Commoncrawl sn...

annotations_creators: found language_creators: found languages: af languages: am languages: ar languages: as languages: az languages: be languages: bg languages: bn languages: bn_rom languages: br languages: bs languages: ca languages: cs languages: cy languages: da languages: de languages: el languages: en languages: eo languages: es languages: et languages: eu languages: fa languages: ff languages: fi languages: fr languages: fy languages: ga languages: gd languages: gl languages: gn languages: gu languages: ha languages: he languages: hi languages: hi_rom languages: hr languages: ht languages: hu languages: hy languages: id languages: ig languages: is languages: it languages: ja languages: jv languages: ka languages: kk languages: km languages: kn languages: ko languages: ku languages: ky languages: la languages: lg languages: li languages: ln languages: lo languages: lt languages: lv languages: mg languages: mk languages: ml languages: mn languages: mr languages: ms languages: my languages: my_zaw languages: ne languages: nl languages: no languages: ns languages: om languages: or languages: pa languages: pl languages: ps languages: pt languages: qu languages: rm languages: ro languages: ru languages: sa languages: si languages: sc languages: sd languages: sk languages: sl languages: so languages: sq languages: sr languages: ss languages: su languages: sv languages: sw languages: ta languages: ta_rom languages: te languages: te_rom languages: th languages: tl languages: tn languages: tr languages: ug languages: uk languages: ur languages: ur_rom languages: uz languages: vi languages: wo languages: xh languages: yi languages: yo languages: zh-Hans languages: zh-Hant languages: zu licenses: unknown multilinguality: multilingual size_categories: n>1M source_datasets: original task_categories: sequence-modeling task_ids: language-modeling

multi_para_crawl

Parallel corpora from Web Crawls collected in the ParaCrawl project and further processed for making it a multi-parallel corpus by pivoting via English. Here we only provide the additional language pairs that came out of pivoting. The bitexts for English are available from the ParaCrawl release. 40 languages, 669 bitexts total number of files: 4...

opus_gnome

A parallel corpus of GNOME localization files. Source: https://l10n.gnome.org 187 languages, 12,822 bitexts total number of files: 113,344 total number of tokens: 267.27M total number of sentence fragments: 58.12M

annotations_creators: found language_creators: found languages: af languages: am languages: an languages: ang languages: ar languages: ar_TN languages: ara languages: as languages: ast languages: az languages: az_IR languages: bal languages: be languages: bem languages: bg languages: bg_BG languages: bn languages: bn_IN languages: bo languages: br languages: brx languages: bs languages: ca languages: cat languages: crh languages: cs languages: csb languages: cy languages: da languages: da_DK languages: de languages: de_CH languages: dv languages: dz languages: el languages: en languages: en_AU languages: en_CA languages: en_GB languages: en_NZ languages: en_US languages: en_ZA languages: eo languages: es languages: es_AR languages: es_CL languages: es_CO languages: es_CR languages: es_DO languages: es_EC languages: es_ES languages: es_GT languages: es_HN languages: es_MX languages: es_NI languages: es_PA languages: es_PE languages: es_PR languages: es_SV languages: es_UY languages: es_VE languages: et languages: eu languages: fa languages: fa_IR languages: fi languages: fo languages: foo languages: fr languages: fur languages: fy languages: ga languages: gd languages: gl languages: gn languages: gr languages: gu languages: gv languages: ha languages: he languages: hi languages: hi_IN languages: hr languages: hu languages: hy languages: ia languages: id languages: ig languages: io languages: is languages: it languages: it_IT languages: ja languages: jbo languages: ka languages: kg languages: kk languages: km languages: kn languages: ko languages: kr languages: ks languages: ku languages: ky languages: la languages: lg languages: li languages: lo languages: lt languages: lv languages: mai languages: mg languages: mi languages: mk languages: ml languages: mn languages: mr languages: ms languages: ms_MY languages: mt languages: mus languages: my languages: nb languages: nb_NO languages: nds languages: ne languages: nhn languages: nl languages: nn languages: nn_NO languages: n/o languages: no_nb languages: nqo languages: nr languages: nso languages: oc languages: or languages: os languages: pa languages: pl languages: ps languages: pt languages: pt_BR languages: pt_PT languages: quz languages: ro languages: ru languages: rw languages: si languages: sk languages: sl languages: so languages: sq languages: sr languages: sr_ME languages: st languages: sv languages: sw languages: szl languages: ta languages: te languages: tg languages: tg_TJ languages: th languages: tk languages: tl languages: tl_PH languages: tmp languages: tr languages: tr_TR languages: ts languages: tt languages: ug languages: uk languages: ur languages: ur_PK languages: uz languages: vi languages: vi_VN languages: wa languages: xh languages: yi languages: yo languages: zh_CN languages: zh_HK languages: zh_TW languages: zu licenses: unknown multilinguality: multilingual size_categories: 10K<n<100K source_datasets: original task_categories: conditional-text-generation task_ids: machine-translation

opus_paracrawl

Parallel corpora from Web Crawls collected in the ParaCrawl project 40 languages, 41 bitexts total number of files: 20,995 total number of tokens: 21.40G total number of sentence fragments: 1.12G

opus_ubuntu

A parallel corpus of Ubuntu localization files. Source: https://translations.launchpad.net 244 languages, 23,988 bitexts total number of files: 30,959 total number of tokens: 29.84M total number of sentence fragments: 7.73M

annotations_creators: found language_creators: found languages: ace languages: af languages: ak languages: am languages: an languages: ang languages: ar languages: ar_SY languages: ary languages: as languages: ast languages: az languages: ba languages: bal languages: be languages: bem languages: ber languages: bg languages: bho languages: bn languages: bn_IN languages: bo languages: br languages: brx languages: bs languages: bua languages: byn languages: ca languages: ce languages: ceb languages: chr languages: ckb languages: co languages: crh languages: cs languages: csb languages: cv languages: cy languages: da languages: de languages: de_AT languages: de_DE languages: dsb languages: dv languages: dz languages: el languages: en languages: en_AU languages: en_CA languages: en_GB languages: en_NZ languages: en_US languages: eo languages: es languages: es_AR languages: es_CL languages: es_CO languages: es_CR languages: es_DO languages: es_EC languages: es_ES languages: es_GT languages: es_HN languages: es_MX languages: es_NI languages: es_PA languages: es_PE languages: es_PR languages: es_SV languages: es_UY languages: es_VE languages: et languages: eu languages: fa languages: fa_AF languages: ff languages: fi languages: fil languages: fo languages: fr languages: fr_CA languages: fr_FR languages: frm languages: frp languages: fur languages: fy languages: ga languages: gd languages: gl languages: gn languages: grc languages: gu languages: guc languages: gv languages: ha languages: haw languages: he languages: hi languages: hil languages: hne languages: hr languages: hsb languages: ht languages: hu languages: hy languages: ia languages: id languages: ig languages: io languages: is languages: it languages: iu languages: ja languages: jbo languages: jv languages: ka languages: kab languages: kg languages: kk languages: kl languages: km languages: kn languages: ko languages: kok languages: ks languages: ksh languages: ku languages: kw languages: ky languages: la languages: lb languages: lg languages: li languages: lij languages: lld languages: ln languages: lo languages: lt languages: ltg languages: lv languages: mai languages: mg languages: mh languages: mhr languages: mi languages: miq languages: mk languages: ml languages: mn languages: mo languages: mr languages: ms languages: mt languages: mus languages: my languages: nan languages: nap languages: nb languages: nds languages: ne languages: nhn languages: nl languages: nl_NL languages: nn languages: n/o languages: nso languages: ny languages: oc languages: oj languages: om languages: or languages: os languages: pa languages: pam languages: pap languages: pl languages: pms languages: pmy languages: ps languages: pt languages: pt_BR languages: pt_PT languages: qu languages: rm languages: ro languages: rom languages: ru languages: rw languages: sa languages: sc languages: sco languages: sd languages: se languages: shn languages: shs languages: si languages: sk languages: sl languages: sm languages: sml languages: sn languages: so languages: son languages: sq languages: sr languages: st languages: sv languages: sw languages: syr languages: szl languages: ta languages: ta_LK languages: te languages: tet languages: tg languages: th languages: ti languages: tk languages: tl languages: tlh languages: tr languages: trv languages: ts languages: tt languages: ug languages: uk languages: ur languages: uz languages: ve languages: vec languages: vi languages: wa languages: wae languages: wo languages: xal languages: xh languages: yi languages: yo languages: zh languages: zh_CN languages: zh_HK languages: zh_TW languages: zu languages: zza licenses: unknown multilinguality: multilingual size_categories: 10K<n<100K source_datasets: original task_categories: conditional-text-generation task_ids: machine-translation

senti_lex

This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.

swahili

The Swahili dataset developed specifically for language modeling task. The dataset contains 28,000 unique words with 6.84M, 970k, and 2M words for the train, valid and test partitions respectively which represent the ratio 80:10:10. The entire dataset is lowercased, has no punctuation marks and, the start and end of sentence markers have been in...

swahili_news

Swahili is spoken by 100-150 million people across East Africa. In Tanzania, it is one of two national languages (the other is English) and it is the official language of instruction in all schools. News in Swahili is an important part of the media sphere in Tanzania. News contributes to education, technology, and the economic growth of a count...

tanzil

This is a collection of Quran translations compiled by the Tanzil project The translations provided at this page are for non-commercial purposes only. If used otherwise, you need to obtain necessary permission from the translator or the publisher. If you are using more than three of the following translations in a website or application, we req...

ted_talks_iwslt

The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference website (http://www.ted.com). Since 2007, the TED Conference, based in California, has been posting all video recordings of its talks together with subtitles in English and their translations in more than 80 languages. Asid...

annotations_creators: expert-generated language_creators: crowdsourced language_creators: expert-generated languages: mr languages: eu languages: hr languages: rup languages: szl languages: lo languages: ms languages: ht languages: hy languages: mg languages: arq languages: uk languages: ku languages: ig languages: sr languages: ug languages: ne languages: pt-br languages: sq languages: af languages: km languages: en languages: tt languages: ja languages: inh languages: mn languages: eo languages: ka languages: nb languages: fil languages: uz languages: fi languages: tl languages: el languages: tg languages: bn languages: si languages: gu languages: sk languages: kn languages: ar languages: hup languages: zh-tw languages: sl languages: be languages: bo languages: fr languages: ps languages: tr languages: ltg languages: la languages: ko languages: lv languages: nl languages: fa languages: ru languages: et languages: vi languages: pa languages: my languages: sw languages: az languages: sv languages: ga languages: sh languages: it languages: da languages: lt languages: kk languages: mk languages: tlh languages: he languages: ceb languages: bg languages: fr-ca languages: ha languages: ml languages: mt languages: as languages: pt languages: zh-cn languages: cnh languages: ro languages: hi languages: es languages: id languages: bs languages: so languages: cs languages: te languages: ky languages: hu languages: th languages: pl languages: nn languages: ca languages: is languages: ta languages: de languages: srp languages: ast languages: bi languages: lb languages: art-x-bork languages: am languages: oc languages: zh languages: ur languages: gl licenses: cc-by-nc-4.0 multilinguality: translation size_categories: 100K< n<500k source_datasets: original task_categories: conditional-text-generation task_ids: machine-translation

wikiann

WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC (location), PER (person), and ORG (organisation) tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of Rahimi et al. (2019), which supports 176 of the 282 languages fro...

annotations_creators: machine-generated language_creators: crowdsourced languages: ace languages: af languages: als languages: am languages: an languages: ang languages: ar languages: arc languages: arz languages: as languages: ast languages: ay languages: az languages: ba languages: bar languages: be languages: bg languages: bh languages: bn languages: bo languages: br languages: bs languages: ca languages: cdo languages: ce languages: ceb languages: ckb languages: co languages: crh languages: cs languages: csb languages: cv languages: cy languages: da languages: de languages: diq languages: dv languages: el languages: en languages: eo languages: es languages: et languages: eu languages: ext languages: fa languages: fi languages: fo languages: fr languages: frr languages: fur languages: fy languages: ga languages: gan languages: gd languages: gl languages: gn languages: gu languages: hak languages: he languages: hi languages: hr languages: hsb languages: hu languages: hy languages: ia languages: id languages: ig languages: ilo languages: io languages: is languages: it languages: ja languages: jbo languages: jv languages: ka languages: kk languages: km languages: kn languages: ko languages: ksh languages: ku languages: ky languages: la languages: lb languages: li languages: lij languages: lmo languages: ln languages: lt languages: lv languages: mg languages: mhr languages: mi languages: min languages: mk languages: ml languages: mn languages: mr languages: ms languages: mt languages: mwl languages: my languages: mzn languages: nap languages: nds languages: ne languages: nl languages: nn languages: no languages: nov languages: oc languages: or languages: os languages: other-bat-smg languages: other-be-x-old languages: other-cbk-zam languages: other-eml languages: other-fiu-vro languages: other-map-bms languages: other-simple languages: other-zh-classical languages: other-zh-min-nan languages: other-zh-yue languages: pa languages: pdc languages: pl languages: pms languages: pnb languages: ps languages: pt languages: qu languages: rm languages: ro languages: ru languages: rw languages: sa languages: sah languages: scn languages: sco languages: sd languages: sh languages: si languages: sk languages: sl languages: so languages: sq languages: sr languages: su languages: sv languages: sw languages: szl languages: ta languages: te languages: tg languages: th languages: tk languages: tl languages: tr languages: tt languages: ug languages: uk languages: ur languages: uz languages: vec languages: vep languages: vi languages: vls languages: vo languages: wa languages: war languages: wuu languages: xmf languages: yi languages: yo languages: zea languages: zh licenses: unknown multilinguality: multilingual size_categories: n<1K source_datasets: original task_categories: structure-prediction task_ids: named-entity-recognition

wili_2018

It is a benchmark dataset for language identification and contains 235000 paragraphs of 235 languages

annotations_creators: no-annotation language_creators: found languages: af languages: am languages: an languages: as languages: av languages: ay languages: bs languages: ce languages: co languages: cv languages: dv languages: eo languages: gl languages: gn languages: gu languages: ha languages: hr languages: ht languages: ia languages: id languages: ie languages: ig languages: io languages: ja languages: jv languages: km languages: ko languages: ku languages: kv languages: ky languages: lb languages: lg languages: li languages: ln languages: lo languages: mg languages: mi languages: ml languages: mn languages: mr languages: ms languages: my languages: ne languages: om languages: or languages: os languages: pa languages: rm languages: rw languages: sc languages: sd languages: si languages: sk languages: sn languages: so languages: sr languages: su languages: sw languages: ta languages: th languages: tl languages: tn languages: to languages: ug languages: vi languages: vo languages: wa languages: wo languages: xh languages: yo languages: zh languages: ar languages: az languages: ba languages: be languages: bg languages: bn languages: bo languages: br languages: ca languages: cs languages: cy languages: da languages: de languages: el languages: en languages: es languages: et languages: eu languages: fa languages: fi languages: fo languages: fr languages: fy languages: ga languages: gd languages: gv languages: he languages: hi languages: hu languages: hy languages: is languages: it languages: ka languages: kk languages: kn languages: kw languages: la languages: lt languages: lv languages: mk languages: mt languages: nb languages: nl languages: nn languages: nv languages: oc languages: pl languages: ps languages: pt languages: qu languages: ro languages: ru languages: sa languages: sh languages: sl languages: sq languages: sv languages: te languages: tg languages: tk languages: tr languages: tt languages: uk languages: ur languages: uz languages: yi languages: ace languages: als languages: ang languages: arz languages: ast languages: azb languages: bar languages: bcl languages: bho languages: bjn languages: bpy languages: bxr languages: cbk languages: cdo languages: ceb languages: chr languages: ckb languages: crh languages: csb languages: diq languages: dsb languages: dty languages: egl languages: ext languages: frp languages: fur languages: gag languages: glk languages: hak languages: hif languages: hsb languages: ilo languages: jam languages: jbo languages: kaa languages: kab languages: kbd languages: koi languages: kok languages: krc languages: ksh languages: lad languages: lez languages: lij languages: lmo languages: lrc languages: ltg languages: lzh languages: mai languages: mdf languages: mhr languages: min languages: mrj languages: mwl languages: myv languages: mzn languages: nan languages: nap languages: nci languages: nds languages: new languages: nrm languages: nso languages: olo languages: pag languages: pam languages: pap languages: pcd languages: pdc languages: pfl languages: pnb languages: rue languages: rup languages: sah languages: scn languages: sco languages: sgs languages: sme languages: srn languages: stq languages: szl languages: tcy languages: tet languages: tyv languages: udm languages: vec languages: vep languages: vls languages: vro languages: war languages: wuu languages: xmf languages: zea languages: other-roa-tara languages: other-zh-yue languages: other-map-bms languages: other-nds-nl languages: other-be-tarask licenses: odbl-1.0 multilinguality: multilingual size_categories: 100K<n<1M source_datasets: original task_categories: text-classification task_ids: text-classification-other-language-identification

xglue

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to cross-lingual natural language understanding and generation. The benchmark is composed of the following 11 tasks: - NER - POS Tagging (POS) - News Classification (NC) - MLQA - XNLI - PAWS-X - Query-Ad Matching (QADSM) - Web Page Ranki...

annotations_creators: crowdsourced annotations_creators: machine-generated annotations_creators: expert-generated annotations_creators: found annotations_creators: machine-generated annotations_creators: expert-generated annotations_creators: expert-generated annotations_creators: found annotations_creators: machine-generated annotations_creators: machine-generated annotations_creators: machine-generated annotations_creators: machine-generated annotations_creators: machine-generated language_creators: found language_creators: found language_creators: crowdsourced language_creators: expert-generated language_creators: machine-generated language_creators: expert-generated language_creators: crowdsourced language_creators: expert-generated language_creators: found language_creators: found language_creators: machine-generated language_creators: found language_creators: crowdsourced language_creators: expert-generated languages: ar languages: de languages: en languages: es languages: hi languages: vi languages: zh languages: en languages: de languages: es languages: fr languages: ru languages: de languages: en languages: es languages: nl languages: en languages: de languages: es languages: fr languages: ru languages: en languages: de languages: es languages: fr languages: ar languages: bg languages: de languages: el languages: en languages: es languages: fr languages: hi languages: it languages: nl languages: pl languages: ru languages: th languages: tr languages: ur languages: vi languages: zh languages: en languages: de languages: fr languages: en languages: de languages: fr languages: en languages: de languages: fr languages: pt languages: it languages: zh languages: en languages: de languages: fr languages: es languages: it languages: pt languages: zh languages: ar languages: bg languages: de languages: el languages: en languages: es languages: fr languages: hi languages: ru languages: sw languages: th languages: tr languages: ur languages: vi languages: zh licenses: cc-by-sa-4.0 licenses: unknown licenses: unknown licenses: unknown licenses: unknown licenses: other-Licence Universal Dependencies v2.5 licenses: unknown licenses: unknown licenses: unknown licenses: unknown licenses: cc-by-nc-4.0 multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: multilingual multilinguality: translation size_categories: 100K<n<1M size_categories: 100K<n<1M size_categories: 10K<n<100K size_categories: 100K<n<1M size_categories: 10K<n<100K size_categories: 10K<n<100K size_categories: 100K<n<1M size_categories: 100K<n<1M size_categories: 100K<n<1M size_categories: 100K<n<1M size_categories: 100K<n<1M source_datasets: extended|squad source_datasets: original source_datasets: extended|conll2003 source_datasets: original source_datasets: original source_datasets: original source_datasets: original source_datasets: original source_datasets: original source_datasets: original source_datasets: extended|xnli task_categories: question-answering task_categories: text-classification task_categories: structure-prediction task_categories: conditional-text-generation task_categories: text-classification task_categories: structure-prediction task_categories: text-classification task_categories: text-classification task_categories: conditional-text-generation task_categories: text-classification task_categories: text-classification task_ids: extractive-qa task_ids: open-domain-qa task_ids: topic-classification task_ids: named-entity-recognition task_ids: summarization task_ids: text-classification-other-paraphrase identification task_ids: parsing task_ids: acceptability-classification task_ids: acceptability-classification task_ids: conditional-text-generation-other-question-answering task_ids: acceptability-classification task_ids: natural-language-inference