Common Voice Scripted Speech 25.0 - Losso

nmz — Losso (nmz)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Losso [nmz - nmz]. The dataset contains 14117 clips representing 11.55 hours of recorded speech (11.21 hours validated) from 35 speakers, recorded from a text corpus of 2,447 sentences.

Language

Nawdm (also known as Nawdem, Losso, Losu, Naoudem) is a Gur language spoken in northern Togo and southern Ghana. It belongs to the Niger‑Congo family, under the Oti‑Volta subgroup. The language is used in daily communication, religious texts, poetry, oral tradition, and common expressions.

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: 78 of 14,117 clips (0.6%), 1 of 35 speakers (2.9%)

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: 1,157 of 14,117 clips (8.2%), 2 of 35 speakers (5.7%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 2,436 of 13,698 validated clips (17.8%)

The dataset contains 13698 validated, 106 invalidated, and 313 unresolved clips. The average clip duration is 2.947 seconds.

Text corpus

Validated sentences: 2,446

The corpus contains 2,447 sentences: 2,446 validated and 1 unvalidated (1 pending review, 0 rejected), with 2 reported for review.

Writing system

Nawdm is a tonal language, with at least two level tones:

• High tone: marked with an acute accent (á)

• Low tone: marked with a grave accent (à)

Tone marking is not always used, typically reserved for pronouns, religious or formal texts.

Symbol table

Uppercase letters:
A B D E Ɛ F G Gw Gb H Ĥ I J K Kw Kp L M N Ny Ŋ Ŋm O Ɔ R S T U V W Y

Lowercase letters:
a b d e ɛ f g gw gb h ɦ i j k kw kp l m n ny ŋ ŋm o ɔ r s t u v w y

Sample

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

1. Raal.

2. Hiwung na noosutu.

3. Gbena tukuu tuunang ka siwung taa.

4. Asowa fiisung.

5. Tamalar.

Sources

The dataset has been compiled from:

• Religious texts and translations

• Dictionaries of Nawdm

• Common expressions collected from everyday life and fieldwork

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 Nawdm (nmz) page (link to be activated when available)

• 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

• Speak

• Write

• Listen

• Review

Acknowledgements

Datasheet authors

• Justin Bakoubolo

• Guedela, PhD

• Justin Bakoubolo — supervised the compilation and coordination of the dataset.

• Justin Bakoubolo

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