Common Voice Scripted Speech 25.0 - Eton

eto — Eton (eto)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Eton [eto - eto]. The dataset contains 11063 clips representing 9.9 hours of recorded speech (9.45 hours validated) from 26 speakers, recorded from a text corpus of 966 sentences.

Language

Eton is classified in the Administrative Atlas of Cameroon's Languages as a dialect of Beti-Fang, along with Mengisa, Ewondo, Bulu, Ntumu and others. Ethnologue online identifies Eton as a distinct language.

Variants

The main contributor to this dataset identified two varieties of Eton, which he named Eton a Nke and Eton a Kwe. He declared that the collection of sentences used for read speech in this dataset represent the Eton a Nke variety. Other Eton speakers and language experts have argued that Eton is relatively homogeneous and native to nearly all indigenous populations in the Lekie Division of the Centre 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 11,063 clips (0.0%), 0 of 26 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: 130 of 11,063 clips (1.2%), 2 of 26 speakers (7.7%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 966 of 10,555 validated clips (9.2%)

The dataset contains 10555 validated, 308 invalidated, and 200 unresolved clips. The average clip duration is 3.225 seconds.

Text corpus

Validated sentences: 966

The corpus contains 966 sentences: 966 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 reported for review.

Writing system

The writing system used in the collection of sentence prompts for read speech in this dataset is based on Latin characters with casual tone marking. It reflects the writing system introduced by early missionaries through literature in Ewondo.

Sample

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

1. Me te ke a nnam poulassi

2. Me te benn wo

3. Ibog- yili !

4. Mi ndzouk mi te ma ton:

5. Me lou me ba me te ke azoukoula

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/eto/

• Speak

• Write

• Listen

• Review

Acknowledgements

Datasheet authors

Emmanuel Ngue Um , Sosthène Ahanda

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