Common Voice Spontaneous Speech 3.0 - Chiga

cgg — Chiga (cgg)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Chiga [cgg - cgg]. The dataset contains 3085 clips representing 11.69 hours of recorded speech (10.18 hours validated) from 27 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: 2,711 of 2,711 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Ediini ehindwire eta emijwarire yʼabantu omu Uganda?

2. Okutema emiti omu Uganda kureesireho ki aha mpindahinduka yʼobwire?

3. Ahabwenki tushemereire kuha ekitiinisa ebintu byʼabandi omu kyanga kyaitu?

4. Okugira omwani mwingi nigureetaho ki aha magara gʼabantu bʼekyanga?

5. Ni buremeezi ki obu abakazi nʼabaishiki barabugana omu kyanga kyanyu?

Responses

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

1. Omuntu ari mubusaasi nimbaasa kumu kumuhuumuriza narishi nkamuha nkamuheeereza aha buyambi obwarikuba naayetenga mu bwire obwo.

2. Nyowe naagira eirunga eki ndakira kukora munonga ndakira kweshongora kureeba ngu naabagye

3. kirateganisa abaana babaishiki n'okushanga nka baabura school fiizi haza bakaburaabura

4. Nikwegyesa abazaire ekirungi ky'obwegyese.

5. Amashomero gaine kwegyesa abandi baana aha by'oburema kandi bakabagambira ngu abaana babarema nabo n'abantu nk'abandi kugira ngu bataabarabyamu amaisho

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