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Release Date: 9/17/2026
Format: MP3
Size: 252.67 MB
A collection of read speech recordings in Adja (Adja).
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-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Adja [Adja - 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:
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.
In addition, the dataset includes sentences from:
| 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 userpath - relative path of the audio filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_votes - number of people who said audio matches the textdown_votes - number of people who said audio does not match textage - age of the speaker1gender - gender of the speaker1accents - accents of the speaker1variant - variant of the language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe validated_sentences.tsv file contains one row per validated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromis_used - whether the sentence is still in circulation for recordingclips_count - number of clips recorded for this sentenceunvalidated_sentences.tsvThe unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromup_votes - number of upvotes the sentence receiveddown_votes - number of downvotes the sentence receivedstatus - current status of the sentence (pending or rejected)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