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