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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 262.34 MB
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A collection of spontaneous responses to questions in Bukusu (bxk).
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.
bxk)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Bukusu [bxk - bxk]. The dataset contains 3214 clips representing 15.87 hours of recorded speech (11.03 hours validated) from 27 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 2,215 | 68.9% |
| Transcribed & Pending | 0 | 0.0% |
| Not transcribed | 999 | 31.1% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,423 | 44.3% |
| Dev | 452 | 14.1% |
| Test | 340 | 10.6% |
| Unassigned | 999 | 31.1% |
Training split coverage: 2,215 of 2,215 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 2,215 | 100.0% |
| Pending | 0 | 0.0% |
| Edited | 398 | 18.0% |
There follows a randomly selected sample of questions used in the corpus.
Butinyu siina bwesi bakhasi nende bakhana babiramo khushalo?
Khulwasina siili silayi khupungusha sukari esikhunya khulwebulamu bulayi?
COVID-19 yananya eryena kamasomo?
Kazii siina esi bakhasi banyala bakhola khushalo?
Ufunanga orye bilyo bye khulya?
There follows a randomly selected sample of transcribed responses from the corpus.
Byakhulya byesi olya waba nende bulamu bulayi, kamapwondi mwoko, aa! bufu bwenganu, bwebusima bwefwe bwekamayindi, kumuchele .
Ee! bibindu byebabandu sebiba bibyowo taa, bindu byebabandu biba byeba bandu, kenyikhana khubirya ate nalundi sekenyikhana khuba simbi nebibindu bino kwanza khusi khubiyenanalila taa yenyikhana khurya bibindu byebabandu sikila khurerawo lukosi mubandu khubela nobiyenenalila munyala mwalomana nebabandu.
Basasi bakhoyele bayile babana esikuli basome mala lundi babafunakilekho bakansala nende baba adivayisindekho nebarerangakho babana babandi babasomilekho beyongela bacha ebweni mala nebakobola neba adivayisya babana bano nabo bamanye kimitendera kimilayi kyekhubiriramo wakila babana basoma baloba khuba nende kimima kimibii taa.
Kamakesi niko enyala nawa omwana wesisinde owa! owambane nende lukosi lubi, embolela omusali kamwikhasye asii kamubulilile.
Khukhwisinga kamechi buli lunakhu, sikhuyeta nekumubili kwowo kuu! kunyale khuwululukha kuwele bulayi lundi ube nende afya endayi.
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