Common Voice Scripted Speech 25.0 - Dargwa

Дарган — Dargwa (dar)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Dargwa [Дарган - dar]. The dataset contains 11984 clips representing 18.98 hours of recorded speech (14.54 hours validated) from 39 speakers, recorded from a text corpus of 6,953 sentences.

Language

Accents

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: 4,566 of 11,984 clips (38.1%), 3 of 39 speakers (7.7%)

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: 9,423 of 11,984 clips (78.6%), 7 of 39 speakers (17.9%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 4,828 of 9,181 validated clips (52.6%)

The dataset contains 9181 validated, 178 invalidated, and 2625 unresolved clips. The average clip duration is 5.703 seconds.

Text corpus

Validated sentences: 5,960

The corpus contains 6,953 sentences: 5,960 validated and 993 unvalidated (861 pending review, 132 rejected), with 52 reported for review.

Sample

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

1. Илдала черкадра илцад-декӀар дахъал хӀялумцӀлаби дурадеркӀибти ахӀен.

2. Урши, кьапӀа кабуха!

3. Нуша ихтилатдикӏули лерли кабинетлизи уруз-урузли ухӏнахъиб гьести гӏямрула адам — Гӏумаров Къурбан.

4. МицӀирли левай хӀед баркаллавикӀус.

5. Чевверхи набчивад, набчиб сабри гӀяйиб.

Sources

Text domains

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

• Speak

• Write

• Listen

• Review

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