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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 214.65 MB
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A collection of read speech recordings in Tuki (Tukí).
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.
bag)This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Tuki [Tukí - bag]. The dataset contains 7106 clips representing 11.12 hours of recorded speech (11 hours validated) from 14 speakers, recorded from a text corpus of 1,012 sentences.
Tuki is an indigenous language of Cameroon. It belongs to the Niger-Congo language family. According to Ethnologue, the vitality status of the Tuki is stable, and the language is used as a first language by everyone in the ethnic community. However, this is not confirmed by any recent study. In fact, given the general negative trend in the vitality of indigenous languages in Cameroon and other parts of Africa due to factors such as rural exodus, the shift to colonial languages such as French, and language policy, among others, it is more likely that the vitality of Tuki is threatened.
The Administrative Atlas of Cameroon's Languages (Breton and Bikia Fohtung 1993) lists 6 dialects of Tuki:
Tungoro spoken by the Aki around the Ngoro Subdivision
Tukombe spoken by the Kombe (or Bakombe)
Tonjo spoken by the Nju (or Bunju)
Tutsingo spoken by the Tsingo (or Batsingo)
Tocenka spoken by the Tiki also known as Bacenga
Tumbele spoken by the Mbele (also known as Bambele)
Of the 6 dialects, two are reprensented in the dataset, namely, Tukombe and Tutsingo.
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 | 150 (2.1%) | 1 (7.1%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | 1,006 (14.2%) | 1 (7.1%) |
| - | Unspecified | 5,950 (83.7%) | 13 (92.9%) |
Gender declared: 1,156 of 7,106 clips (16.3%), 1 of 14 speakers (7.1%)
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 | - | - |
| thirties | Thirties | 150 (2.1%) | 1 (7.1%) |
| fourties | Fourties | 1,006 (14.2%) | 1 (7.1%) |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 5,950 (83.7%) | 13 (92.9%) |
Age declared: 1,156 of 7,106 clips (16.3%), 1 of 14 speakers (7.1%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 7,028 (98.9%) |
| Invalidated | 43 (0.6%) |
| Other | 35 (0.5%) |
Training splits
| Split | Clips |
|---|---|
| Train | 421 (6.0%) |
| Dev | 261 (3.7%) |
| Test | 324 (4.6%) |
Training split coverage: 1,006 of 7,028 validated clips (14.3%)
The dataset contains 7028 validated, 43 invalidated, and 35 unresolved clips. The average clip duration is 5.636 seconds.
Validated sentences: 1,006
| Category | Count |
|---|---|
| Unvalidated sentences | 6 |
| Pending sentences | 6 |
| Rejected sentences | - |
| Reported sentences | 1 |
The corpus contains 1,012 sentences: 1,006 validated and 6 unvalidated (6 pending review, 0 rejected), with 1 reported for review.
The collection os sentence prompts provided by the language representatives aligns with the General Alphabet of Cameroonian Languages
ea7d0e1d91133988552b2e3f46fe0c5927749ffc:cv-corpus/scs/23.0-2025-09-05/final/en/bag.md
There follows a randomly selected sample of five sentences from the corpus.
Tsi râ issutu i timbamú abôrôssana.
Wikangá ya wutira tukí i mú nitina na ignï.
Andjara i mú kumbari nà wipêssê.
Na mamana ; a mù udjanamú mamba má mà atumbéwena na assôtô yâā.
Wa mà séssa waná kā zu mù kômô ambōh kā djï bwari.
| Source | Sentences |
|---|---|
| self | 1,006 (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)
https://commonvoice.mozilla.org/bag
Emmanuel Ngue Um Jean-Louis Aimé Mbataka Marguérite Flore Ndjana
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