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Release Date: 9/18/2026
Format: MP3
Size: 198.88 MB
A collection of read speech recordings in Fang (Fang).
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.
fan)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Fang [Fang - fan]. The dataset contains 8078 clips representing 9.87 hours of recorded speech (9.41 hours validated) from 43 speakers, recorded from a text corpus of 1,006 sentences.
Fang is a Bantu language belonging to the Niger-Congo familty and to the Beti-Fang group.
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 | 8,078 (100.0%) | 43 (100.0%) |
Gender declared: 0 of 8,078 clips (0.0%), 0 of 43 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 | 110 (1.4%) | 1 (2.3%) |
| twenties | Twenties | - | - |
| thirties | Thirties | - | - |
| fourties | Fourties | 785 (9.7%) | 1 (2.3%) |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 7,183 (88.9%) | 42 (97.7%) |
Age declared: 895 of 8,078 clips (11.1%), 1 of 43 speakers (2.3%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 7,709 (95.4%) |
| Invalidated | 81 (1.0%) |
| Other | 288 (3.6%) |
Training splits
| Split | Clips |
|---|---|
| Train | 349 (4.5%) |
| Dev | 327 (4.2%) |
| Test | 328 (4.3%) |
Training split coverage: 1,004 of 7,709 validated clips (13.0%)
The dataset contains 7709 validated, 81 invalidated, and 288 unresolved clips. The average clip duration is 4.399 seconds.
Validated sentences: 1,005
| Category | Count |
|---|---|
| Unvalidated sentences | 1 |
| Pending sentences | 1 |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 1,006 sentences: 1,005 validated and 1 unvalidated (1 pending review, 0 rejected), with 0 reported for review.
The writing system used in the sentence prompts is that of the Protestant Missionaries.
There follows a randomly selected sample of five sentences from the corpus.
| Source | Sentences |
|---|---|
| Own Submission | 1,005 (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)Emmanuel Ngue Um , Raissa Messeng , Jojo Paulnareph Moaboulou Endamane
Ngué Um E, Ngo Tjomb EEC, Dibengue FL, Banum Manguele BM, Abo Djoulde B, Nyambe MA, Atangana Eloundou BM, Ngami Kamagoua JS, Mpouda Avom J, Nyobe Z, Eloundou Eyenga EG, Likwai AP (2025) Speech Technologies Datasets for African Under-Served Languages. Proceedings of the Eight Workshop on the Use of Computational Methods in the Study of Endangered Languages, edited by Lachler J, Agyapong G, Arppe A, Moeller S, Chaudhary A, Rijhwani S, Rosenblum D. URL Association for Computational Linguistics (ACL).
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