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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 252.65 MB
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A collection of read speech recordings in Adja (ajg).
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.
ajg)This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Adja [ajg - ajg]. The dataset contains 19398 clips representing 12.87 hours of recorded speech (12.71 hours validated) from 23 speakers, recorded from a text corpus of 3,213 sentences.
Adja (Aja) is a Gbe language spoken in Benin, Gabon, Ghana, Nigeria and Togo by 1M+ people. It is part of the Kwa branch of the Niger-Congo family. The language is used in daily communication, oral literature, and traditional expressions.
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.
| Code | Gender | Clips | Speakers |
|---|---|---|---|
| male_masculine | Male, masculine | - | - |
| female_feminine | Female, feminine | - | - |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 19,398 (100.0%) | 23 (100.0%) |
Gender declared: 0 of 19,398 clips (0.0%), 0 of 23 speakers (0.0%)
Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | - | - |
| twenties | Twenties | 3 (0.0%) | 1 (4.3%) |
| thirties | Thirties | - | - |
| fourties | Fourties | - | - |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 19,395 (100.0%) | 22 (95.7%) |
Age declared: 3 of 19,398 clips (0.0%), 1 of 23 speakers (4.3%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 19,158 (98.8%) |
| Invalidated | 218 (1.1%) |
| Other | 22 (0.1%) |
Training splits
| Split | Clips |
|---|---|
| Train | 1,873 (9.8%) |
| Dev | 560 (2.9%) |
| Test | 774 (4.0%) |
Training split coverage: 3,207 of 19,158 validated clips (16.7%)
The dataset contains 19158 validated, 218 invalidated, and 22 unresolved clips. The average clip duration is 2.389 seconds.
Validated sentences: 3,213
| Category | Count |
|---|---|
| Unvalidated sentences | - |
| Pending sentences | - |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 3,213 sentences: 3,213 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 reported for review.
Aja is a tonal language, typically with three level tones:
High (´)
Mid (unmarked)
Low (`)
The orthography used in this dataset aligns with conventions adopted by Aja linguists and educators, particularly those documented by AGOSSOU Kogbédji Émile, PhD, and Kansiwer, PhD. Minor regional variations are harmonized through community consensus.
a an b c d d e s en f g gb y h hw i in j k kp I m n ny n o 5 on p r s sh t u un v w x xw y z 3
There follows a randomly selected sample of five sentences from the corpus.
Toxudekanono.
E ji vi.
Jeshi.
Wo nyomesoso ce yi ado wo ji.
Yovogbu amewo don.
AGOSSOU K., Le grand livre des proverbes aja, Azové, Éphphata, 2011 (primary source).
AGOSSOU K., Proverbes aja et hébreux : une étude littéraire, in Le Sycomore, 2014.
AGOSSOU K., L’emphase dans l’hébreu biblique : identification et méthodes de traduction en langue aja, in Mélanges en hommage au professeur BADA, 2022.
AGOSSOU K., La situation de la femme aja dans ses relations personnelles avec l’homme dans le mariage : l’égalité en question, in Mélanges en hommage au professeur HUANNOU, éd. Plumes Soleil, 2024.
In addition, the dataset includes sentences from:
Common perceptions and everyday life expressions collected during fieldwork.
Crowdsourced contributions supervised by the curators.
| Source | Sentences |
|---|---|
| self | 3,213 (100.0%) |
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
accents - accents of the speaker1
variant - variant of the language1
segment - if sentence belongs to a custom dataset segment, it will be listed here
prompt_upvotes - number of upvotes the sentence prompt received
prompt_reports - number of reports the sentence prompt received
is_edited - whether the clip's transcription has been edited
validated_sentences.tsvThe validated_sentences.tsv file contains one row per validated sentence in the text corpus:
sentence_id - unique identifier for the sentence
sentence - the sentence text
variant - the variant of the language
sentence_domain - the domain(s) the sentence belongs to
source - the source the sentence was collected from
is_used - whether the sentence is still in circulation for recording
clips_count - number of clips recorded for this sentence
unvalidated_sentences.tsvThe unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:
sentence_id - unique identifier for the sentence
sentence - the sentence text
variant - the variant of the language
sentence_domain - the domain(s) the sentence belongs to
source - the source the sentence was collected from
up_votes - number of upvotes the sentence received
down_votes - number of downvotes the sentence received
status - current status of the sentence (pending or rejected)
Common Voice Aja (ajg) page (link to be activated when available)
Dr. Kogbédji Émile AGOSSOU (Université, PhD)
Dr. Kansiwer (PhD)
Justin Bakoubolo (PhD)
Justin Bakoubolo — supervised the compilation of the dataset.
Justin Bakoubolo
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 ↩3 ↩4