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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 283.63 MB
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A collection of spontaneous spoken phrases in Nubi.
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 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 Nubi (kcn). The dataset contains 2719 clips representing 14 hours of recorded
speech (10 hours validated) from 26 speakers.
| Split | Count |
|---|---|
| Train | 1290 |
| Test | 336 |
| Dev | 276 |
Prompts: 120
Duration: 13:58:05 [h:m:s]
Avg. Transcription Len: 154
Avg. Duration: 18.49[s]
Valid Duration: 34896.636[s]
Total hours: 13.97[h]
Valid hours: 9.69[h]
There follows a randomly selected sample of questions used in the corpus.
Ribah al siya gi awunu kefin mariya fi abidu tijara?
Itakum gi legetu kubarin fi ummah takum kefin?
Ita gi ayinu kefin taalim fi adulu mustakbal ta usra fi ummah taki?
Taalim saadu usra taki kefin fi adulu kalama ta jumia ja kun sawasawa ma adala?
Fi teriga yatu ya taalim makkin usra taki fi kutu geeru fi ummah taki?
There follows a randomly selected sample of transcribed responses from the corpus.
Yani riba gi awun maria al kan adul nafsi to kalas te ja al ana gi zidu fi kias al uwo endisi ya naade ,ya gi awun uwo gi zidu gi raba sunu nafsi to fi tijara to
Gijibu kubarina dee gi gidam tena,dukur nagi negetu fogo ab nayin agder,yena gikutu kede omon sulina gidam
Walai wede kalam wai kwesi,wede kalam al kwesi al gikutu jami tena me umnma tena kede endelea,kede mon ligo more benefits al ba aun nafsi tena fi umm je umma
Taalim bumara te deeni gi awun anasi kunadil fi sika ab rabbana kutu
Nam taalim makkin usra tai ,fi geeru fi umma logo uwo gi zidu fii,rizigi,uwo gi zidu fi ilim,wu kaman gi zidu fi namna ta aruf badu,wedede kutu umma tai ligo zaidi fi taalim
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