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Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 266.28 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-4.0-2026-06-12 of the Mozilla Common Voice Spontaneous Speech dataset for Amba [rwm - rwm]. The dataset contains 2426 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 | 50 | 2.1% |
| Not transcribed | 575 | 23.7% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,142 | 47.1% |
| Dev | 330 | 13.6% |
| Test | 329 | 13.6% |
| Unassigned | 625 | 25.8% |
Training split coverage: 1,801 of 1,801 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,801 | 97.3% |
| Pending | 50 | 2.7% |
| Edited | 444 | 24.0% |
There follows a randomly selected sample of questions used in the corpus.
Okukolageki sini kabha nodhaki liya ndia tabhabhugobhugo?
Ka Uganda bhakpa bhakikola eki ka kingililya gbatikesa ndwali sa Kabhondo?
Ali nesiyo tina ndia bhakpa bhakitungilyagaku makulu na poni ndia aenikaniyo?
Ali mulingo tina mabhonga sa koniya nkpa mindia ali na kiniga?
Kikikola bhoni zibe eti bhakpa bhangbeku bhabhwibiliya na ngukisabo ka ngonguambili ndiasu?
There follows a randomly selected sample of transcribed responses from the corpus.
Hambilijabho kola milimo ndia bhakoli mani hambilizagabho ka bhuswele hambilizagabho kola kima ndia aluzukania kandi pesiagabho milimo sa a
Bisaku nkpa nguko okuteketaga ontangia ngeso ndiaki nesi abhongia andulu ombiseku nguko
Akubikisiaga ndwali mazinana bhia sukali na pulesa ka kozo ndiako
Bhunako ka ngongwa mbili ndiasu adhu bhaniki bhakaye ka kisomo nanga kisomo sa kitelu endindi kalibe amamadha ali kindia okuisaga sente ya sasulai ka bhaniki andulu bhatoke soma
*Moti mulimo ndie kitoka kolai imamoti ka ngongwa mbili ali kilimba pesiana kilimba sa kola pesiana kilimba sa sente deni bitebe ma kwelungananisa mamoti injo andulu ndio okusobola kolai mamoti ka ngongwa mbili *
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
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