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.
Tshiteṅwa tshiṅwe na tshiṅwe tsha dataset tshi na MP3 yo khetheaho na mafhungo a tshimbidzanaho natsho. Vhunzhi ha <b>{ $total }</b> dzi awara dzo rekhodiwa kha dzi dataset dzi katela metadata ine ya amba nga ha zwidodombedzwa zwa muthu zwi ngaho miṅwaha, mbeu na kuambele zwine zwa nga thusa kha u gudisa zwavhuḓi tshishumiswa tsha u pfa ipfi.  Dataset i na <b>{ $valid }</b> awara dzo teaho <b>{ $languages }</b> luambo, fhedzi ri dzula ri tshi khou panga maipfi o engedzeaho na dzinyambo. Sedzani <languagesLink>siaṱari ḽa Nyambo dzashu</languagesLink> u itela khumbelo ya luambo kana ni thome u shela mulenzhe.