Common Voice Spontaneous Speech 3.0 - Amba

rwm — Amba (rwm)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Amba [rwm - rwm]. The dataset contains 2427 clips representing 13.61 hours of recorded speech (10.13 hours validated) from 21 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: 1,801 of 1,801 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Ali bhia bhizibu tina ndia bhaniki bhanikiankali ndie bhakienaga ka kyalo kehe?

2. Osobololebe nesi okweyambiya lyeli ndiakudhedhio.

3. Ali mugaso nangeki bhaniki isabho iya tunga kikato?

4. Okukolaga bhoni ngoye ndiako likilia nabeni?

5. Osobololebe ka bwomezi ndiako ndiokukaniliya kidieweyokiya nodhedhelu sinisini.

Responses

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

1. Mwembezi ali na bha na mulima mabhonga ndia gonzana kandi ali na bha nakikolaga sini ndia akitoka kolilia bhakpa mindiabho tabhi bhesu kandi mwembezi minjo akitoka bha nalibe na mikia sente

2. Nkpa mindia akilikaga ka town akizibaga ngu atungi bubhotu mamadha kandi bubhotu ndia atungiyo injo akimuyambaga ka famile ndiaki kandi ajiba nti aibi nesi mugaso sa kima alio sa zibiliaibe ali kisomo kabha na kisoma akisomiliaga akisomiliaga ka bakpa kenjo nali nsomi akihibhaga ati miki mindiamo akasoma na midiamo odhuwe naye asome nanga aliki ka tauni bizinesi akitungaga nesi bhakikolaga bizinesi adhuwa nkpa atunga mani da da ziba ngu naye akoli ndia akibhonganuwa kolai nanga azibi ka tauni

3. Kitandike lika moti kitandike loki ndiasu kitandike egesa bhaniki ndiasu kitandike lika moti kitungebe polojekiti ndiasu

4. Bhaniki bhalema ka sukulu bhasemelelu bhabhukingese na bhataidabho ka haa sikisiabhokumani lika soma ka sumbakabho ndia akibhuetagisibwa andulu bhasome kulungi na kilasezi bha alikage ndia akibhu ndia abhudhua bhaniki nibhakisobola godhabho ka kilasi

5. Andulu bhesu kikikabhaga kibhuhabhula bhaitu businge kikikibhaga nabho mamoti nanga lika nibhakiekolisa kima sa luju luju.

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