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Release Date: 9/17/2026
Format: MP3
Size: 300.91 MB
A collection of spontaneous responses to questions in Nubi (Nubi).
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Nubi [Nubi - 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 | 1,169 | 43.1% |
| Dev | 381 | 14.0% |
| Test | 344 | 12.7% |
| 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.
Dor yatu ya walidein taki gi so fi awunu yal kutu taalim kun sokol ta awlan?
Dor yatu ya usra taki so fi dhaman gali anas wadin fi ummah kutu taalim sokol ta awlan?
Dor sunu ya kubarin ta diini so fi ummah taki?
Aina ta muwasalaat yatu yaa rakhis?
Ana agder so kefin fi ayan ta shahar bila ruwa fi Mushtashfa?
There follows a randomly selected sample of transcribed responses from the corpus.
*Usra tai dami fi ligo fi taalim te anas namna ta dafa gurus ta madrasa,nanna te kutu maisha ta yal ke kun kwesi,wedi nomon afiya me kutu gudra ke omon rua fi madrasa *
De ,te awun tena,me nubia akwana kulu fogo wedede
Mahal tan de te gi ayin anas kun wasakan ,Kalam asede kan anas wasakan bes dudu gi ja,anas gi lesu jua ma,anas gi bes gai sambala ja lam ,bes anas gi gai sambala sambala lain kan anas gi kun nedif anas gi lesu jua,dudu nvunza bi kun ma na anas ya fi jede aju anas gai nedif ke lesu
Gi awun uwo fi namna bara bara ,taulan, biyo sokolna ab uwo endis te abidu mo,te tinin, te logo bakan ab nesiya uwo ab uwo bi soo fogo tijara to
*Ma teriga al gi kutu uwo,al murat,eh gi wedi yal fi,wedi yal fi madrasa kede yal de agara ,ah al ma endis guwa umma kede we ah,wedi omon fi madrasa,dafa nomon gurus kede mon agara, teriga tan kaman fi,ali yal gi agara namna ta tumiya ida tomon fi kefin,banat gi dofuru biris,gi gidu kuta,wele bi alim ras ga ida,ta kuruju,namna ta adulu,uh arabia,namna ta dugu matafali *
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
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
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