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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 279.57 MB
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A collection of spontaneous spoken phrases in Konzo.
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.
koo)This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!
This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Konzo (koo). The dataset contains 3240 clips representing 16 hours of recorded
speech (11 hours validated) from 28 speakers.
| Split | Count |
|---|---|
| Train | 1486 |
| Test | 353 |
| Dev | 427 |
Prompts: 120
Duration: 15:02:59 [h:m:s]
Avg. Transcription Len: 135
Avg. Duration: 16.72[s]
Valid Duration: 37032.804[s]
Total hours: 15.05[h]
Valid hours: 10.29[h]
There follows a randomly selected sample of questions used in the corpus.
Ekyangaleka ithwasikya ebindu ebyʼabikalhani bethu omo malhambo niki?
Omwebembethya atholere inyakolha ki omo bulhambo mwamabaniki ekitsibu?
Mukakolesaya byuma ki omo bulime?
Ababuthi bangakolha ki eritheya abana babo abalengwa erithendibya omo bitsindikano ebyʼabandi balengwa ebibi?
Thwangasikya thuthi abandu bakulhu omo malhambo ethu?
There follows a randomly selected sample of transcribed responses from the corpus.
Erisikya ebindu byabikalani bethu omomalambo wethu nikighuma okobuyirinde Kandi nikighuma okwa ngulhakulana yobutaka nobulambu bwethu.
Atholere inyakolha engulhakulhana omwa bulhambo neriletha obuholho omwa bulhambo neribugha ndeke nabattaka bomubulhambo obwo
Thukakolesaya esisuka ebi panga nemihamba omubulime bwethu
Ababuthi batholere ibakangirirya abanababo ebibi ebikalhwa omobikolhwa ebibi Kandi neri bathanga erikolha ebikorya ebibi omobulhambo bwethu
Thuuka basikaya ithu kakolha ebya bakathuhabulhamu kandi ithwa lhangiri ndi obuli Kya bakabugha kyihikerere kandi kyikathuhimba
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 30 seconds
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