Common Voice Scripted Speech 25.0 - Tuki

Tukí — Tuki (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.

Language

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.

Variants

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.

Demographic information

The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.

Gender

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.

Gender declared: 1,156 of 7,106 clips (16.3%), 1 of 14 speakers (7.1%)

Age

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.

Age declared: 1,156 of 7,106 clips (16.3%), 1 of 14 speakers (7.1%)

Data splits for modelling

Clip buckets

Training splits

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.

Text corpus

Validated sentences: 1,006

The corpus contains 1,012 sentences: 1,006 validated and 6 unvalidated (6 pending review, 0 rejected), with 1 reported for review.

Writing system

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

Sample

There follows a randomly selected sample of five sentences from the corpus.

1. Tsi râ issutu i timbamú abôrôssana.

2. Wikangá ya wutira tukí i mú nitina na ignï.

3. Andjara i mú kumbari nà wipêssê.

4. Na mamana ; a mù udjanamú mamba má mà atumbéwena na assôtô yâā.

5. Wa mà séssa waná kā zu mù kômô ambōh kā djï bwari.

Sources

Fields

Clips

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.tsv

The 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.tsv

The 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)

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

https://commonvoice.mozilla.org/bag

• Speak

• Write

• Listen

• Review

Acknowledgements

Datasheet authors

Emmanuel Ngue Um Jean-Louis Aimé Mbataka Marguérite Flore Ndjana

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

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.

Footnotes

1. 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