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Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 260.95 MB
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A collection of spontaneous spoken phrases in Amba.
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 has been generated automatically, we would love to include more information, if you would like to help out, get in touch!
This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Amba (rwm). The dataset contains 2438 clips representing 14 hours of recorded
speech (11 hours validated) from 21 speakers.
| Split | Count |
|---|---|
| Train | 1301 |
| Test | 298 |
| Dev | 268 |
Prompts: 120
Duration: 13:42:56 [h:m:s]
Avg. Transcription Len: 181
Avg. Duration: 20.25[s]
Valid Duration: 36845.1[s]
Total hours: 13.72[h]
Valid hours: 10.23[h]
There follows a randomly selected sample of questions used in the corpus.
Ali mulimo tina kusengsengya akikolaga ena kasinge na habhula ka tolo sa bizibu?
Ndia akidhuwa bhasika bhaye ka sukulu bhia bhasigazi andiki?
Likilia zomba mili ka Uganda andiki ndiatukiku ka mpinduka sa huwa?
Andiki ndiadhu sebhalisiyo pikipiki na gali bhai ndulu mulingo sa dhetisaga bhakpa ka ngonguambili ndiasu?
Okubisanaga bhoni lyeli ka inji ndiako?
There follows a randomly selected sample of transcribed responses from the corpus.
Mulimo kusenga sengia ndia akikolaga ka habhula bhakpa ali bikisabe kasinge haaa bha na ngeso kwebundaza na kumpesia kedha konkudha nkpa ntaidakao okubhaga bhia nkpa onkundi Mambombi hati kindia kusenga sengia kalio injo kalibei
Ndia akidhuwa bhasika bhaye ka sukulu bhia bhatabhana kedhatu bhasigazi ali nti bhobhalili bhaniki bhenjo bhali bhatua mugaso bhakadhakia kisomo ndiabho bhio abhe nkaliaki abahe muluaki akialikaga inji ndiaki abhongosia kima yoho na yoho tunga naye agodhisa dhe abhuzuna bhakpa ndibha mehe nabha moi
Zomba gbutuamili ka uganda me ndia liku andi zomba mili bhukutugaga mani ama igulana nanga gbutuamili akibikisaga andu bhula kyakulolelo enindi sio bhakpa ndiki dhabhani na semuliki nasono paka kika tunga mbula
Gali na piki piki bhagbei nibhahidulabho mulingo sa dhetisaga hhh gali piki piki ibi bikukola akisidentisi nakuwola bhakpa ka nesiyo
Liaga madeka okubisaga ka nguli
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 30 seconds
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