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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 302.26 MB
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A collection of spontaneous responses to questions in Nubi (kcn).
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.
kcn)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Nubi [kcn - kcn]. The dataset contains 2715 clips representing 13.96 hours of recorded speech (9.69 hours validated) from 26 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 1,894 | 69.8% |
| Transcribed & Pending | 8 | 0.3% |
| Not transcribed | 813 | 29.9% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,266 | 46.6% |
| Dev | 318 | 11.7% |
| Test | 310 | 11.4% |
| Unassigned | 821 | 30.2% |
Training split coverage: 1,894 of 1,894 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,894 | 99.6% |
| Pending | 8 | 0.4% |
| Edited | 355 | 18.7% |
There follows a randomly selected sample of questions used in the corpus.
Fi teriga yatu ya taalim athir fi gudura ta arufu au ta hafidhi kalama ta salaama?
Lee anas ta mahal taanin gi ligo nvunza, wu kefin umon agder abusu?
Mushkila yatu ab nuswan ma banaa gi ligo fi ummah taki?
Wesifu teriga ta rakabu akili taki al ita gi fadhilisha?
Sunu ya sababu raisi ta naksan akili fi gildu ta yal?
There follows a randomly selected sample of transcribed responses from the corpus.
Fi namna bara bara taulan,taulan anas,anas agara zaidi,te tinin,na gi ain fi kazi al anas gi soo saade
*Muhim to muhim to al ne alim fogo ya kun kwesi kede uwo raba ligo uwo fi kwesi,ke raba mon ke raba kwesi fi kariya,mon raba mon aruf mon fi team *
Taalim awun ana gai ajol ab gi amsuku sokolna bises,ajol ab gi wafiki me anas ,abu kutu usra tai zatu ana gi gai mo seme
*Ilim tai awun ummah jede: bada ana agara kalas ana faham kalama de, ana gijib nomon angikutu nomon ina gen falta ina giso discussion ina gifaham nafsi tena seme *
Min alama al gi weri huzun fi azol ya kun ma sing,mai, ma, ma ayan,gen gildu baari bes de gi weri min alama ta huzun me fikra milan
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