Common Voice Spontaneous Speech 3.0 - Kenyi

lke — Kenyi (lke)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Kenyi [lke - lke]. The dataset contains 2743 clips representing 12.38 hours of recorded speech (9.95 hours validated) from 26 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: 2,269 of 2,269 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Lwaki abantu mu byaalo ebindi bafuna empuza ate basobola batia okujewala?

2. Okubere engeri amaka go owegakuremberia okweega owaika.

3. Emirundi imeka ejensobola okuchalira eidwaliro okwemulika?

4. Otaaka okwega ebyamawaanga agaandi?

5. Oyabangaku munsi ejobweru? nga bityo waina?

Responses

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

1. Amaka amazimbe okusa, galeta omutindo kukyaalo.

2. Okusoma kutwegesia engeri yo okukuma eyitakali liyaisu

3. *Nga nakazuka nsoka kunaba mumaiso no nenkuta amaino Kaisi awo nitandika okola emirimu jonajona. *

4. Basobola nga aa babulira abantu ekyo'kola

5. Omuntu oyo ayinza okuba nga atakire a a a ataka okuba naiwe naye akulaga wano omukyeni kye akulaga amasanyu muntu muasanyufu ino ataka okuba naiwe

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