Common Voice Spontaneous Speech 5.0 - Chiga

Chiga — Chiga (cgg)

This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Chiga [Chiga - 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. Ngambira aha bwire obu waatungamu esimu yaawe yʼokubanza.

2. Nookora ki otakarugire mu nju yaawe omu kasheeshe?

3. Amabanja gʼesente nkye garahwera gata abakazi kutandikaho bizinesi omu kyanga eki?

4. Ahabwenki abakazi bashemereire kwejumbira omu byʼobutegyeki omu Uganda?

5. Okuza omu kakungu nikireetaho ki omu kyanga kyaitu?

Responses

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

1. Naahuurira naaruha, nindeka ebi nandikukora mbaaza naahuurukwa ntakagumiizemu emirimo egi nandikukora

2. Amashomero gaine kwegyesa ngu okuba omurema tikwo kubura kubaasa kukora ebintu ebindi.

3. Kuhurikiza abarikutukira emyaka kiratuyamba kugira tubaiheho amagezi kuba bo beetegyereize nan'okugira ngu tutwarize gye omu kyaro

4. Abaishiki omu mwanya ogu nibakira kuteganiisibwa okuza omuuka baakyari bato bahendera baababonaboneise kandi barugireyo

5. Obuhabuzi obundaha abaishiki abaratwara enda bakyari bato n'okugira abaana baija baakura babaase kuba baragaruka omu mashomero kwega

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

  • 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

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