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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 234.20 MB
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A collection of spontaneous responses to questions in Chiga (cgg).
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.
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.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 2,711 | 87.9% |
| Transcribed & Pending | 0 | 0.0% |
| Not transcribed | 374 | 12.1% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,772 | 57.4% |
| Dev | 398 | 12.9% |
| Test | 541 | 17.5% |
| Unassigned | 374 | 12.1% |
Training split coverage: 2,711 of 2,711 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 2,711 | 100.0% |
| Pending | 0 | 0.0% |
| Edited | 516 | 19.0% |
There follows a randomly selected sample of questions used in the corpus.
Ediini ehindwire eta emijwarire yʼabantu omu Uganda?
Okutema emiti omu Uganda kureesireho ki aha mpindahinduka yʼobwire?
Ahabwenki tushemereire kuha ekitiinisa ebintu byʼabandi omu kyanga kyaitu?
Okugira omwani mwingi nigureetaho ki aha magara gʼabantu bʼekyanga?
Ni buremeezi ki obu abakazi nʼabaishiki barabugana omu kyanga kyanyu?
There follows a randomly selected sample of transcribed responses from the corpus.
Omuntu ari mubusaasi nimbaasa kumu kumuhuumuriza narishi nkamuha nkamuheeereza aha buyambi obwarikuba naayetenga mu bwire obwo.
Nyowe naagira eirunga eki ndakira kukora munonga ndakira kweshongora kureeba ngu naabagye
kirateganisa abaana babaishiki n'okushanga nka baabura school fiizi haza bakaburaabura
Nikwegyesa abazaire ekirungi ky'obwegyese.
Amashomero gaine kwegyesa abandi baana aha by'oburema kandi bakabagambira ngu abaana babarema nabo n'abantu nk'abandi kugira ngu bataabarabyamu amaisho
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
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