Common Voice Spontaneous Speech 3.0 - Konzo

koo — Konzo (koo)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Konzo [koo - koo]. The dataset contains 3233 clips representing 14.89 hours of recorded speech (10.13 hours validated) from 28 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: 2,211 of 2,211 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Ekikaleka omwebembethya inyasabwa erihulirikira abandu biwe niki?

2. Ni bihendeka byahi ebyʼabambesa bakathunga abali omo bulhambo buno?

3. Emibere mibuya niyahi eriwathikya omundu oyuli omo bulighe?

4. Abanya Uganda batholere ibayitheya bathi obukoni obwʼakabonde?

5. Ekikaleka ikyabya kikulhu erihulikrira abakulhu niki?

Responses

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

1. *Abandu abomo malhambo ethu erithunga esya sente bakakolha esya suburo muthinamuthina, kandi ibathunga emithungu eye ebisoro muthinamuthina *

2. Erilhaba omwikanirania ndeke

3. *Ebiro bikulhu by'enoeli ne pasika nebindi thukakyiramuno erisanga-ngana nga mahika neryo ithwa jaguzya haghuma *

4. *Byamabirileka abandu ibasighala ibanakwamire ebikafwayo omwokihugho kyabo byamabirileka abandu ibabya ibanimwowa okwamakuru ebindu ngabikaghenda bithi *

5. *Eriyakurathira abakali kandi nerithekaho obulingirirania ahakathikathi kabalhume na abakali omwa Uganda. *

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