Common Voice Scripted Speech 25.0 - Kazakh

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 76.67 MB

Description

A collection of read speech recordings in Kazakh (Қазақ тілі).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

Restrictions/Special Constraints

None provided.

Forbidden Usage

It is forbidden to attempt to determine the identity of speakers in the Common Voice datasets. It is forbidden to re-host or re-share this dataset.

Processes

Intended Use

This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.

Metadata

Қазақ тілі — Kazakh (`kk`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Kazakh [Қазақ тілі - kk]. The dataset contains 2834 clips representing 3.89 hours of recorded speech (2.5 hours validated) from 201 speakers, recorded from a text corpus of 6,470 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		671 (23.7%)	29 (14.4%)

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.

Code	Gender	Clips	Speakers
male_masculine	Male, masculine	857 (30.2%)	27 (13.4%)
female_feminine	Female, feminine	328 (11.6%)	7 (3.5%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	-	-
-	Unspecified	1,649 (58.2%)	185 (92.0%)

Gender declared: 1,185 of 2,834 clips (41.8%), 16 of 201 speakers (8.0%)

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.

Code	Age	Clips	Speakers
teens	Teens	162 (5.7%)	11 (5.5%)
twenties	Twenties	619 (21.8%)	19 (9.5%)
thirties	Thirties	125 (4.4%)	7 (3.5%)
fourties	Fourties	203 (7.2%)	2 (1.0%)
fifties	Fifties	134 (4.7%)	1 (0.5%)
sixties	Sixties	-	-
seventies	Seventies	-	-
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	1,591 (56.1%)	180 (89.6%)

Age declared: 1,243 of 2,834 clips (43.9%), 21 of 201 speakers (10.4%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	1,827 (64.5%)
Invalidated	275 (9.7%)
Other	732 (25.8%)

Training splits

Split	Clips
Train	671 (36.7%)
Dev	549 (30.0%)
Test	598 (32.7%)

Training split coverage: 1,818 of 1,827 validated clips (99.5%)

The dataset contains 1827 validated, 275 invalidated, and 732 unresolved clips. The average clip duration is 4.946 seconds.

Text corpus

Validated sentences: 6,229

Category	Count
Unvalidated sentences	241
Pending sentences	231
Rejected sentences	10
Reported sentences	43

The corpus contains 6,470 sentences: 6,229 validated and 241 unvalidated (231 pending review, 10 rejected), with 43 reported for review.

Sample

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

Жаман адам жасаққа жарамайды, желінсау қой қосаққа жарамайды.
Жаманға айтсаң сырыңды, жаман бұзар шырыңды.
Ат иесіз болмас, қазан күйесіз болмас.
Жақсы жатырқамайды, аңқау алдамайды, әңгі тыңдамайды.
Жақсы іске келеді, жаман асқа келеді.

Sources

Source	Sentences
sentence-collector	6,137 (98.5%)
These are proverbs from volume 65 of 100-volume collection called '??????? ????'. By article 8 of Kazakhstani copyright law, works of folklore are exempt from copyright and are thus in the public domain.	91 (1.5%)
Other	1 (0.0%)

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)

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Community links

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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

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