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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 199.05 MB
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A collection of scripted spoken phrases in Mbum.
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.
mdd)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 Scripted Speech dataset
for Mbum (mdd). The dataset contains 5573 clips representing 11 hours of recorded
speech (11 hours validated) from 7 speakers.
The dataset includes the following distribution of age and gender.
Self-declared gender information, percentage refers to the number of clips annotated with this gender.
| Gender | Pertentage |
|---|---|
| Undefined | 100.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 100.0% |
The official data splits for modelling this language are as follows. Of the validated clips, 16.65% are included in the splits.
| Split | Count |
|---|---|
| Train | 877 |
| Test | 46 |
The text corpus contains 922 sentences, of which 923 are validated, -1 are invalidated and 0 are reported.
There follows a randomly selected sample of five sentences from the corpus.
Gun sekeri ke tiklari toŋ fal fe tuna.
Hul i nzuk dale ke si mak mak.
Gama ba sa el ziŋ ni gi puh ya ɓayu.
Ɓay hul ké ƴo i nzuk a lewsa̧ri za̧h ko nun nzukri ya.
Ké waka guri mi pɔr vul nam seɗe da.
| Domain | Count |
|---|---|
| Undefined | 5573 |
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
path - relative path of the audio file
text - supposed transcription of the audio
up_votes - number of people who said audio matches the text
down_votes - number of people who said audio does not match text
age - age of the speaker1
gender - gender of the speaker1
accent - accent of the speaker1
segment - if sentence belongs to a custom dataset segment, it will be listed here
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 ↩3