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License:
CC0-1.0
Steward:
Common VoiceDataset ID:
cmflnn4edx8zby94ctnc53b3m
Release Date: 9/15/2025
Format: MP3
Size: 265.80 MB
A collection of spontaneous spoken phrases in Amba (Uganda).
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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 23.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Amba (rwm). The dataset contains 2443 clips representing 14 hours of recorded
speech (11 hours validated) from 21 speakers.
The dataset includes the following distribution of age and gender.
Self-declared gender information, frequency refers to the number of clips annotated with this gender.
Self-declared age information, frequency refers to the number of clips annotated with this age band.
| Split | Count |
|---|---|
| Train | 1642 |
| Dev | 351 |
Prompts: 120
Duration: 49142520[ms]
Avg. Transcription Len: 137
Avg. Duration: 20.12[s]
Valid Duration: 36611.32[s]
Total hours: 13.65[h]
Valid hours: 10.17[h]
There follows a randomly selected sample of questions used in the corpus.
Kikole eki lika maba kindie kikyogilyaga na kwekonilya likai nabeni?
Ali mulimo tina sa nsi ndiasu ndiagbeibe kisomo sa iba sa kibhoko na kisembo sa bhokotyana?
Okole eki bhabhotuako bhakakubisaku mani kola ngeso zidhi?
Bhalemi bhakikola eki sakimila bhakpa lika kwebhingiya yau kindia bhakisomilya ka kyalo ndianu?
Okukolaga bhoni ngoye ndiako likilia nabeni?
There follows a randomly selected sample of transcribed responses from the corpus.
Kizibu ka enikana ka ngongwa mbili mwebembezi mindia ka ngongwa mbili injo naye akibhutiliaga heho ndibha bhankolibe mani kedha ma zibiliaibe kabha nali ceamani LCI akiyaga ka polisi nanga bheho bhankolibe mani ka kwetegeleza
Bhakali bhakizibililiaga bhaniki ka inji bhakali bhakiyaga kalibho bhakali bhakiyaga guba liaga ka tiko bhakali andibho ndibha bhakizibililiaga inji poni bhakali bhakibonabonaga sana
Nkpa poni alike naibi eti ehh injo nau ali na nkumasi
Lika ogako akidhuaga ndio kolumbi kulungi nanga bhakpa kibĥabali bhakpa ndibha bhalumbi zidhi kandi okutungaga bhakpa na bhabhotu bhindieyolo nanga olumbi kulungi nanje nga
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 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 demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2