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License:
CC0-1.0
Steward:
Common VoiceDataset ID:
cmflnn4ecnxrqoxp2pyw5a91p
Release Date: 9/15/2025
Format: MP3
Size: 301.60 MB
A collection of spontaneous spoken phrases in Nubi.
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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 23.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Nubi (kcn). The dataset contains 2719 clips representing 15 hours of recorded
speech (10 hours validated) from 26 speakers.
The dataset includes the following distribution of age and gender.
Self-declared gender information, frequency refers to the number of clips annotated with this gender.
Self-declared age information, frequency refers to the number of clips annotated with this age band.
| Split | Count |
|---|---|
| Train | 2028 |
| Dev | 349 |
Prompts: 120
Duration: 50285700[ms]
Avg. Transcription Len: 108
Avg. Duration: 18.49[s]
Valid Duration: 34896.64[s]
Total hours: 13.97[h]
Valid hours: 9.69[h]
There follows a randomly selected sample of questions used in the corpus.
Mara kam ita gi akulu fi youm?
Ana agder so kefin fi dagt al mashakil ta kila youm gi jibu?
Dor yatu ya usra taki so fi dhaman gali anas wadin fi ummah kutu taalim sokol ta awlan?
Ita gi feker kefin istimal bank fi hawa/himba?
Kam mara ita gi istamil Simu?
There follows a randomly selected sample of transcribed responses from the corpus.
Ana gi faam je akil siya fi gildu te nyereku tayi, ligo an gi ayinu afiya to, mma ya je taulan de, kila kalama to gi geeru, tegil al kan uwo fogo de nongus, ya tu ana gi ayin gi doru seme je taulan de.
Taulan te kutu omon seme fi ,zaidi to ligo mon gi num ladi saa te lasiya ,ya ya teriga te aliju malaria fi yal
Teriga ta kubu waskan min fi ummah tenna ya ja afta lufura, jibu haja al gi sulu ab gi kubu fogo au fi haja tan al gi kutu fogo kalam kede soo sokolede. kalam kede, kede gi haragu au ajana tan bi ja sulu ruwa kubu bara boyi.
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 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 demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2