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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 238.25 MB
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A collection of spontaneous responses to questions in Kuku (ukv).
Restrictions/Special Constraints
None provided.
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the Common Voice datasets. It is forbidden to re-host or re-share this dataset.
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
ukv)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Kuku [ukv - ukv]. The dataset contains 2570 clips representing 11.79 hours of recorded speech (10.03 hours validated) from 22 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 2,202 | 85.7% |
| Transcribed & Pending | 4 | 0.2% |
| Not transcribed | 364 | 14.2% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,403 | 54.6% |
| Dev | 406 | 15.8% |
| Test | 393 | 15.3% |
| Unassigned | 368 | 14.3% |
Training split coverage: 2,202 of 2,202 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 2,202 | 99.8% |
| Pending | 4 | 0.2% |
| Edited | 966 | 43.8% |
There follows a randomly selected sample of questions used in the corpus.
Ti ŋutuʼ na gboŋ ko peleʼ na kodo sulujiʼ wörö yi jibitaliya nanuʼ?
Do a tokita kenda nenut yi ropakinda na jur lo bot na dinyo?
Ti nan kondiʼ nyo anyen piyoŋ kuweʼ na mamata kune a nakeʼ?
Do ŋona gege a pujö yöyögesiʼ yi wörö ko ŋoʼ wöriyet lo ŋutuu liŋ?
Do ŋona meda kenda na toʼdurjo tomoret nago na midijik ko jur ada?
There follows a randomly selected sample of transcribed responses from the corpus.
*aa ŋutú luwaket lo ko toyinga lure a lepeŋ tikinda 'barik diŋit naŋ lepeŋ yuyugiri a nene diŋit ta tu koke i memeda na ŋo gbe kuraa a nyen dó kakaladu i na lure net *
*ŋwojik kulo kodó mimiindi kulya ti kenda a ko kulon ŋo lo goŋ manyen tikinda mugun na i gboŋ a na 'but *
yani kiko' lo 'but logoŋgiti anyen gurusutöt neet́ na a tu na'bijo parik na a warö ko arabiya aa nee' diŋit ko mokosi' nee' diŋit ko pikipiki nee diŋit ko garii i na kiko lo'but logoŋgiti a gurusutöt na a tu na'bijo na
piyoŋ kune ko do mijö a do mugi'mugö kine piyoŋ gboŋ kata ko metet naŋ gbogboŋ nakiye ko diŋit najo do a momokatu ayanyan kule' abulandi logoŋ wingö kuwe na ŋutu' kode' mugun na ŋutu'
ko kulo a mörju gboŋ i pirit na geleŋ i diŋit na tögölönyön asani toyinŋakin kata 'börik nase yala ŋaŋara na kitajin 'dok i pirit na geleŋ na nye na tinda ko bubulö gboŋ yi pirit nageleŋ jadu yi diŋit na go'
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 5 minutes
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.
For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2