Common Voice Spontaneous Speech 3.0 - Nubi

kcn — Nubi (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.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

Training splits

Training split coverage: 1,894 of 1,894 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

There follows a randomly selected sample of questions used in the corpus.

1. Fi teriga yatu ya taalim athir fi gudura ta arufu au ta hafidhi kalama ta salaama?

2. Lee anas ta mahal taanin gi ligo nvunza, wu kefin umon agder abusu?

3. Mushkila yatu ab nuswan ma banaa gi ligo fi ummah taki?

4. Wesifu teriga ta rakabu akili taki al ita gi fadhilisha?

5. Sunu ya sababu raisi ta naksan akili fi gildu ta yal?

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

1. Fi namna bara bara taulan,taulan anas,anas agara zaidi,te tinin,na gi ain fi kazi al anas gi soo saade

2. *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 *

3. 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

4. *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 *

5. 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

Fields

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

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

Acknowledgements

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

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.

Footnotes

1. 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