Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the <b>{ $total }</b> recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines.  The dataset currently consists of <b>{ $valid }</b> validated hours in <b>{ $languages }</b> languages, but we’re always adding more voices and languages. Take a look at our <languagesLink>Languages page</languagesLink> to request a language or start contributing.
Àkọsílẹ̀ kọ̀ọ̀kan nínú àkójọpọ̀ dátà tó ní MP3 pàtàkì àti fáìlì ọ̀rọ̀ tó báa mu. Púpọ̀ nínú àwọn wákàtí <b> lápapọ̀</b> tí a ṣe àkálẹ̀ fún nínú àkójọpọ̀ dátà náà tún àwọn mẹtadátà tó jẹ mọ́ ìrísí èèyàn lápapọ̀ bíi ọjọ́-orí, ìmọ̀ akọ tàbí abo àti ẹ̀yà èdè tí ó ràn wá lọ́wọ́ fún ìṣedéédé ìkẹ́kọ̀ọ́ èdè àwọn ẹ̀rọ adóhùnmọ̀. Àkójọpọ̀ dátà lọ́wọ́lọ́wọ́ ní <b>{ $valid }</b> àwọn wákàtì tí a fọwọ́sí nínú <b>{ $languages }</b> àwọn èdè, ṣùgbọ́n à ń fikún ohùn àti èdè ní gbogbo ìgbà. Ẹ wo ojú-ìwé àwọn èdè</languagesLink> láti bèèrè èdè tàbí b̀ẹrẹ̀ sí ní dásí.