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Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 300.90 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-4.0-2026-06-12 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 | 1,182 | 43.5% |
| Dev | 396 | 14.6% |
| Test | 316 | 11.6% |
| 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.
Ilim athar kefin usra taki fi kutu gudura fi awunu ta raba ummah?
Taalim awunu kefin gata/nongus miskin fi ustra taki?
Wasiya yatu al ita agder wedi na walidein ab yowele toumon limu badu ma jumia al batalin?
Kefin ya usra agder abusu samim akili fi bee?
Ita gi feker kefin istimal bank fi hawa/himba?
There follows a randomly selected sample of transcribed responses from the corpus.
*Sokol ta awulan kan ajol endi ayan ta TB fi umma, aju kede uwo mma lakbat ma anas taan. Yala ta itnin aju kede sulu uwo fi diktar kede uwo ruwa logo maatib. *
Ai ana ligo Kalam je ana fi de,an fi batal ma,ana endi kidima,ana endi rizigi ,fees tai kaman an gi lipa fi saa
Madrasa al wede gi kutu yal gi gai bakan wai wu omon ma gi wei wei sambala
Kun bila kidima fii,umma gi jib ita harami,te kan endi kidima ma,gi kutu te gi kunu nyangara me akwana,te gi aju bes kul ,te gi aju har har me akwana,de ya kun bila kidima fi umma
Kila mara kan ta gi rua soo aja aju ita kasul ida,kan ta gi rua rakab,ta kasul ida,kan ta tala fi choron ta kasul ida,kan ta gi rua adul akil ta kasul ida,kan ta gi rua pakwa ta kasul ida,ma bes ,mara 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
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