Common Voice Spontaneous Speech 3.0 - Kuku

ukv — Kuku (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.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

Training splits

Training split coverage: 2,202 of 2,202 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

There follows a randomly selected sample of questions used in the corpus.

1. Ti ŋutuʼ na gboŋ ko peleʼ na kodo sulujiʼ wörö yi jibitaliya nanuʼ?

2. Do a tokita kenda nenut yi ropakinda na jur lo bot na dinyo?

3. Ti nan kondiʼ nyo anyen piyoŋ kuweʼ na mamata kune a nakeʼ?

4. Do ŋona gege a pujö yöyögesiʼ yi wörö ko ŋoʼ wöriyet lo ŋutuu liŋ?

5. Do ŋona meda kenda na toʼdurjo tomoret nago na midijik ko jur ada?

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

1. *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 *

2. *ŋwojik kulo kodó mimiindi kulya ti kenda a ko kulon ŋo lo goŋ manyen tikinda mugun na i gboŋ a na 'but *

3. 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

4. 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'

5. 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'

Fields

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

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

Acknowledgements

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

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.

Footnotes

1. 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