Common Voice Scripted Speech 25.0 - Mengambo

bce — Mengambo (bce)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Mengambo [bce - bce]. The dataset contains 6141 clips representing 10.05 hours of recorded speech (10.01 hours validated) from 14 speakers, recorded from a text corpus of 986 sentences.

Language

Mengambo is Grassfield Bantu language spoken in the Bamboutos Division, West region of Cameroon.

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: 0 of 6,141 clips (0.0%), 0 of 14 speakers (0.0%)

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: 0 of 6,141 clips (0.0%), 0 of 14 speakers (0.0%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 978 of 6,117 validated clips (16.0%)

The dataset contains 6117 validated, 24 invalidated, and 0 unresolved clips. The average clip duration is 5.892 seconds.

Text corpus

Validated sentences: 986

The corpus contains 986 sentences: 986 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 reported for review.

Writing system

The collection of sentence prompts provided by the language representatives aligns with the General Alphabet of Cameroonian Languages

Sample

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

1. Mwôzyě nə ŋkyə́ʼ kot yé ŋkâʼ səkôt nə̂ sɔ̂t.

2. Yɔ́ yá pɔ̂ wé mǝ́ zínǝ́ nǒ məghɔ̌.

3. Fɔ ŋâ ntɔ̂ pə́ lɔ̂ məngywá ntwá á pɛ́nə wé ŋgâʼ o ŋkwǒ nə mbɛ̂ wye wyə̂?

4. Tsǎp pǝnɛ́a pǝ́ mǝŋgâʼmbɔɔ.

5. Tə mbî pʉ̌ gho tɛ́mə nəndət?

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/bce/

• Speak

• Write

• Listen

• Review

Acknowledgements

Datasheet authors

Emmanuel Ngue Um , Geneviève Mouokat , Jean-Claude Moutieu

Funding

The organization of the data camp that led to the compilation of this dataset was made possible by a grant by the Mozilla Foundation under the Opem Multingual Speech Fund (OMSF)

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