Datasets

14

bible_para

This is a multilingual parallel corpus created from translations of the Bible compiled by Christos Christodoulopoulos and Mark Steedman. 102 languages, 5,148 bitexts total number of files: 107 total number of tokens: 56.43M total number of sentence fragments: 2.84M

annotations_creators: found language_creators: found languages: acu languages: af languages: agr languages: ake languages: am languages: amu languages: ar languages: bg languages: bsn languages: cak languages: ceb languages: ch languages: chq languages: chr languages: cjp languages: cni languages: cop languages: crp languages: cs languages: da languages: de languages: dik languages: dje languages: djk languages: dop languages: ee languages: el languages: en languages: eo languages: es languages: et languages: eu languages: fi languages: fr languages: gbi languages: gd languages: gu languages: gv languages: he languages: hi languages: hr languages: hu languages: hy languages: id languages: is languages: it languages: jak languages: jap languages: jiv languages: kab languages: kbh languages: kek languages: kn languages: ko languages: la languages: lt languages: lv languages: mam languages: mi languages: ml languages: mr languages: my languages: ne languages: nhg languages: nl languages: no languages: ojb languages: pck languages: pes languages: pl languages: plt languages: pot languages: ppk languages: pt languages: quc languages: quw languages: ro languages: rom languages: ru languages: shi languages: sk languages: sl languages: sn languages: so languages: sq languages: sr languages: ss languages: sv languages: syr languages: te languages: th languages: tl languages: tmh languages: tr languages: uk languages: usp languages: vi languages: wal languages: wo languages: xh languages: zh languages: zu licenses: cc0-1.0 multilinguality: multilingual size_categories: 10K<n<100K source_datasets: original task_categories: conditional-text-generation task_ids: machine-translation

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

europa_eac_tm

In October 2012, the European Union's (EU) Directorate General for Education and Culture ( DG EAC) released a translation memory (TM), i.e. a collection of sentences and their professionally produced translations, in twenty-six languages. This resource bears the name EAC Translation Memory, short EAC-TM. EAC-TM covers up to 26 languages: 22 off...

europa_ecdc_tm

In October 2012, the European Union (EU) agency 'European Centre for Disease Prevention and Control' (ECDC) released a translation memory (TM), i.e. a collection of sentences and their professionally produced translations, in twenty-five languages. This resource bears the name EAC Translation Memory, short EAC-TM. ECDC-TM covers 25 languages: th...

mkqa

We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs sampled from the Google Natural Questions dataset, aligned across 26 typologically diverse languages (260k question-answer pairs in total). For each query we collected new passage-independent answers. These queries and answers were then human...

norwegian_ner

Named entities Recognition dataset for Norwegian. It is a version of the Universal Dependency (UD) Treebank for both Bokmål and Nynorsk (UDN) where all proper nouns have been tagged with their type according to the NER tagging scheme. UDN is a converted version of the Norwegian Dependency Treebank into the UD scheme.

open_subtitles

This is a new collection of translated movie subtitles from http://www.opensubtitles.org/. IMPORTANT: If you use the OpenSubtitle corpus: Please, add a link to http://www.opensubtitles.org/ to your website and to your reports and publications produced with the data! This is a slightly cleaner version of the subtitle collection using improved s...

opus100

OPUS-100 is English-centric, meaning that all training pairs include English on either the source or target side. The corpus covers 100 languages (including English).OPUS-100 contains approximately 55M sentence pairs. Of the 99 language pairs, 44 have 1M sentence pairs of training data, 73 have at least 100k, and 95 have at least 10k.

task_categories: sequence-modeling multilinguality: translation task_ids: language-modeling languages: af languages: en languages: am languages: en languages: an languages: en languages: ar languages: en languages: as languages: en languages: az languages: en languages: be languages: en languages: bg languages: en languages: bn languages: en languages: br languages: en languages: bs languages: en languages: ca languages: en languages: cs languages: en languages: cy languages: en languages: da languages: en languages: de languages: en languages: dz languages: en languages: el languages: en languages: en languages: eo languages: en languages: es languages: en languages: et languages: en languages: eu languages: en languages: fa languages: en languages: fi languages: en languages: fr languages: en languages: fy languages: en languages: ga languages: en languages: gd languages: en languages: gl languages: en languages: gu languages: en languages: ha languages: en languages: he languages: en languages: hi languages: en languages: hr languages: en languages: hu languages: en languages: hy languages: en languages: id languages: en languages: ig languages: en languages: is languages: en languages: it languages: en languages: ja languages: en languages: ka languages: en languages: kk languages: en languages: km languages: en languages: ko languages: en languages: kn languages: en languages: ku languages: en languages: ky languages: en languages: li languages: en languages: lt languages: en languages: lv languages: en languages: mg languages: en languages: mk languages: en languages: ml languages: en languages: mn languages: en languages: mr languages: en languages: ms languages: en languages: mt languages: en languages: my languages: en languages: nb languages: en languages: ne languages: en languages: nl languages: en languages: nn languages: en languages: no languages: en languages: oc languages: en languages: or languages: en languages: pa languages: en languages: pl languages: en languages: ps languages: en languages: pt languages: en languages: ro languages: en languages: ru languages: en languages: rw languages: en languages: se languages: en languages: sh languages: en languages: si languages: en languages: sk languages: en languages: sl languages: en languages: sq languages: en languages: sr languages: en languages: sv languages: en languages: ta languages: en languages: te languages: en languages: tg languages: en languages: th languages: en languages: tk languages: en languages: tr languages: en languages: tt languages: en languages: ug languages: en languages: uk languages: en languages: ur languages: en languages: uz languages: en languages: vi languages: en languages: wa languages: en languages: xh languages: en languages: yi languages: en languages: yo languages: en languages: zh languages: en languages: zu annotations_creators: no-annotation source_datasets: extended size_categories: 10K<n<1M licenses: unknown

opus_books

This is a collection of copyright free books aligned by Andras Farkas, which are available from http://www.farkastranslations.com/bilingual_books.php Note that the texts are rather dated due to copyright issues and that some of them are manually reviewed (check the meta-data at the top of the corpus files in XML). The source is multilingually al...

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.

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...

tilde_model

This is the Tilde MODEL Corpus – Multilingual Open Data for European Languages. The data has been collected from sites allowing free use and reuse of its content, as well as from Public Sector web sites. The activities have been undertaken as part of the ODINE Open Data Incubator for Europe, which aims to support the next generation of digital ...

universal_dependencies

Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective. The annotation scheme is based on (universal) Stanford dependencies (de...

annotations_creators: expert-generated language_creators: crowdsourced languages: af languages: akk languages: akk languages: aqz languages: sq languages: am languages: grc languages: grc languages: apu languages: ar languages: ar languages: ar languages: hy languages: aii languages: bm languages: eu languages: be languages: bho languages: br languages: bg languages: bxr languages: yue languages: ca languages: zh languages: zh languages: zh languages: zh languages: zh languages: ckt languages: lzh languages: cop languages: hr languages: cs languages: cs languages: cs languages: cs languages: cs languages: da languages: nl languages: nl languages: en languages: en languages: en languages: en languages: en languages: en languages: en languages: en languages: myv languages: et languages: et languages: fo languages: fo languages: fi languages: fi languages: fi languages: fi languages: fr languages: fr languages: fr languages: fr languages: fr languages: fr languages: fr languages: gl languages: gl languages: de languages: de languages: de languages: de languages: got languages: el languages: he languages: qhe languages: hi languages: hi languages: hu languages: is languages: is languages: id languages: id languages: id languages: ga languages: it languages: it languages: it languages: it languages: it languages: it languages: ja languages: ja languages: ja languages: ja languages: krl languages: kk languages: kfm languages: koi languages: kpv languages: kpv languages: ko languages: ko languages: ko languages: kmr languages: la languages: la languages: la languages: la languages: lv languages: lt languages: lt languages: olo languages: mt languages: gv languages: mr languages: gun languages: gun languages: mdf languages: myu languages: pcm languages: nyq languages: sme languages: no languages: no languages: no languages: cu languages: fro languages: orv languages: orv languages: otk languages: fa languages: fa languages: pl languages: pl languages: pl languages: pt languages: pt languages: pt languages: ro languages: ro languages: ro languages: ru languages: ru languages: ru languages: ru languages: sa languages: sa languages: gd languages: sr languages: sms languages: sk languages: sl languages: sl languages: soj languages: ajp languages: es languages: es languages: es languages: swl languages: sv languages: sv languages: sv languages: gsw languages: tl languages: tl languages: ta languages: ta languages: te languages: th languages: tpn languages: qtd languages: tr languages: tr languages: tr languages: tr languages: uk languages: hsb languages: ur languages: ug languages: vi languages: wbp languages: cy languages: wo languages: yo licenses: unknown multilinguality: multilingual size_categories: 1K<n<10K source_datasets: original task_categories: other task_ids: constituency-parsing task_ids: dependency-parsing

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