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.
Ngheniso wun’wana na wun’wana eka datasete wu na MP3 yo hlawuleka na fayili ya tsalwa leyi fambelanaka na yona. Tiawara to tala leti rhekhodiweke ta <b>{ $total }</b> eka datasete ti tlhela ti katsa vuxokoxoko byo karhi ya nhlayo ya vaaki ku fana na malembe, rimbewu, na mavalavulelo leswi nga pfunaka ku letela mpakaniso wa tinjhini ta lemukiso wa mbulavulo.  Sweswi datasete yi na <b>{ $valid }</b> wa tiawara leti tiyisisiweke hi tindzimi ta <b>{ $languages }</b>, kambe hi tshamela ro engetela marito yo tala na tindzimi. Languta eka pheji ra hina ra  <languagesLink>Tindzimi</languagesLink> ku kombela ririmi kumbe ku sungula ku hoxa xandla.