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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 266.60 MB
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A collection of spontaneous responses to questions in Amba (rwm).
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.
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.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 1,801 | 74.2% |
| Transcribed & Pending | 51 | 2.1% |
| Not transcribed | 575 | 23.7% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,143 | 47.1% |
| Dev | 384 | 15.8% |
| Test | 274 | 11.3% |
| Unassigned | 626 | 25.8% |
Training split coverage: 1,801 of 1,801 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,801 | 97.2% |
| Pending | 51 | 2.8% |
| Edited | 444 | 24.0% |
There follows a randomly selected sample of questions used in the corpus.
Ali bhia bhizibu tina ndia bhaniki bhanikiankali ndie bhakienaga ka kyalo kehe?
Osobololebe nesi okweyambiya lyeli ndiakudhedhio.
Ali mugaso nangeki bhaniki isabho iya tunga kikato?
Okukolaga bhoni ngoye ndiako likilia nabeni?
Osobololebe ka bwomezi ndiako ndiokukaniliya kidieweyokiya nodhedhelu sinisini.
There follows a randomly selected sample of transcribed responses from the corpus.
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
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
Kitandike lika moti kitandike loki ndiasu kitandike egesa bhaniki ndiasu kitandike lika moti kitungebe polojekiti ndiasu
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
Andulu bhesu kikikabhaga kibhuhabhula bhaitu businge kikikibhaga nabho mamoti nanga lika nibhakiekolisa kima sa luju luju.
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