Common Voice Scripted Speech 25.0 - Georgian

ქართული — Georgian (ka)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Georgian [ქართული - ka]. The dataset contains 227399 clips representing 323.49 hours of recorded speech (167.53 hours validated) from 2764 speakers, recorded from a text corpus of 134,521 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: 161,808 of 227,399 clips (71.2%), 281 of 2,764 speakers (10.2%)

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: 174,674 of 227,399 clips (76.8%), 353 of 2,764 speakers (12.8%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 89,241 of 117,767 validated clips (75.8%)

The dataset contains 117767 validated, 6744 invalidated, and 102888 unresolved clips. The average clip duration is 5.121 seconds.

Text corpus

Validated sentences: 132,630

The corpus contains 134,521 sentences: 132,630 validated and 1,891 unvalidated (1,278 pending review, 613 rejected), with 1,097 reported for review.

Sample

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

1. შვილები ჰყავდა მხოლოდ პირველ ქმართან.

2. ეკუთვნის სეიშელის კუნძულების რესპუბლიკას.

3. იქმნებოდა მხოლოდ მცირერიცხოვანი არალეგალური ჯგუფები.

4. ნიკოლოზ ლესელიძე ნასაკირალის ბრძოლის მონაწილე იყო.

5. ასვლა მისადგმელი კიბით ხდებოდა.

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