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.
Buli kiyingizibwa mu dataset kibeera ne MP3 ey'enjawulo ne text fayiro egenderako. Essaawa  <b>{ $total }</b> ezirikondingiddwa ezisinga obungi mu dataset zirina obubaka obulala ng'emyaka, n'ebikwata ku butonde bw'omuntu, n'enjogera ez'enjawulo ezisobola okuyamba okuyigiriza tekinologiya ategeera okwogera okwongeza ku mutindo.  Dataset mu kaseera kano eyina essaawa <b>{ $valid }</b> ezikakasiddwa mu nnimi <b>{ $languages } </b> naye buli kaseera tuba twongeramu amaloboozi n'ennimi. Tunuulira  <languagesLink>Page Y'ennimi</languagesLink> yaffe osabe olulimi oba otandike okuwaayo.