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Release Date: 9/17/2026
Format: MP3
Size: 238.25 MB
A collection of spontaneous responses to questions in Kuku (Kuku).
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Kuku [Kuku - 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 | 1,495 | 58.2% |
| Dev | 296 | 11.5% |
| Test | 411 | 16.0% |
| 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.
Ta wuʼyö kaʼdolak kulo dinyo kasu yi gboke ni?
Ŋona ʼbusan na suweni ŋutuu ko wini lo rereŋoni reto yi gboke kata yu na a nyo?
Kenda na ŋona a toʼdur gbiliŋet lelut lo a loʼbut yi kulon kikolin?
Ti ŋutuʼ na gboŋ ko peleʼ na kodo sulujiʼ wörö yi jibitaliya nanuʼ?
Ŋona möju na piyoŋ nagoŋ a lut na topunundö ret lo ʼbulötö lo luŋu kolera lo dinyo?
There follows a randomly selected sample of transcribed responses from the corpus.
kenda na a ŋarakinda nan yi denda na yeyesi' na'but naŋ yi jujukin ŋarju yi pirit na geleŋ ŋo jonda tomomoret 'bura yi midiijin
*do pujö di mede anyen ŋwajik kilo weweja denunda na kune ŋo' mede katani do pujö do yina kenda do totodin kenda ko kuku a ne' diŋit do pujö naŋ di yolo do totodin koo kune a kwakwadu do totodinkin *
a mede niyo na ŋutu kulo liŋ tomorja 'borik pirit nageleŋ yi ga'yu na kikölin logon puwöni gurusu nagon ropani ŋojik i sukulu ko kak na waran ŋutu gele geleŋ tu i ga'yu na kiko lo gurusu anyen kine gurusu joŋani ŋojik i sululu anyen ŋojik kune jujukin kenda na'but
kenda na ŋarakinda i to'dudö na telemerian na i kiko lo laga ko do kenda a do puji di a do bge'de bgwon ko gurusutöt i könin kogwon do lo pupujö kita a do puundi gurusutöt a do bgworundi ko a kiteŋ kode lidin a do tobgi'dikindi i na lidin ka a do puji di a yuyuŋö a do bge a kuwörönit
ko do ŋiŋira parik i na kpeja di do bgoŋ ko rima na jore
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
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
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