Common Voice Scripted Speech 25.0 - Estonian

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 1.49 GB

Description

A collection of read speech recordings in Estonian (eesti).

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

eesti — Estonian (`et`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Estonian [eesti - et]. The dataset contains 35740 clips representing 66.68 hours of recorded speech (51.68 hours validated) from 1067 speakers, recorded from a text corpus of 12,966 sentences.

Language

Accents

Code	Accent	Clips	Speakers
-		1,366 (3.8%)	40 (3.7%)

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	17,628 (49.3%)	418 (39.2%)
female_feminine	Female, feminine	9,460 (26.5%)	204 (19.1%)
transgender	Transgender	-	-
non-binary	Non-binary	-	-
do_not_wish_to_say	Prefer not to say	70 (0.2%)	3 (0.3%)
-	Unspecified	8,582 (24.0%)	471 (44.1%)

Gender declared: 27,158 of 35,740 clips (76.0%), 596 of 1,067 speakers (55.9%)

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.

Code	Age	Clips	Speakers
teens	Teens	40 (0.1%)	3 (0.3%)
twenties	Twenties	25,164 (70.4%)	643 (60.3%)
thirties	Thirties	2,837 (7.9%)	55 (5.2%)
fourties	Fourties	1,178 (3.3%)	17 (1.6%)
fifties	Fifties	195 (0.5%)	6 (0.6%)
sixties	Sixties	-	-
seventies	Seventies	24 (0.1%)	1 (0.1%)
eighties	Eighties	-	-
nineties	Nineties	-	-
-	Unspecified	6,302 (17.6%)	378 (35.4%)

Age declared: 29,438 of 35,740 clips (82.4%), 689 of 1,067 speakers (64.6%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	27,701 (77.5%)
Invalidated	7,961 (22.3%)
Other	78 (0.2%)

Training splits

Split	Clips
Train	3,499 (12.6%)
Dev	2,890 (10.4%)
Test	2,890 (10.4%)

Training split coverage: 9,279 of 27,701 validated clips (33.5%)

The dataset contains 27701 validated, 7961 invalidated, and 78 unresolved clips. The average clip duration is 6.717 seconds.

Text corpus

Validated sentences: 11,090

Category	Count
Unvalidated sentences	1,876
Pending sentences	1,850
Rejected sentences	26
Reported sentences	567

The corpus contains 12,966 sentences: 11,090 validated and 1,876 unvalidated (1,850 pending review, 26 rejected), with 567 reported for review.

Sample

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

Te ei ole rahaookeanile sellise nurga alt vaadanud?
Seega - ära lase ennast pimestada kõrgetest üürihindadest, sest teisalt on kinnisvara pidamine kallis lõbu ja ettenägematute probleemide tõttu ka närvikulu.
Filmi lõpp oli väga kurb.
Ja ainuke võimalus oleks olnud individuaalselt olümpiale saada.
Kuna igal nädalal külastavad tänavat miljonid inimesed, paigaldatakse nende mugavuseks ka uued istepingid ja muud alad.

Sources

Source	Sentences
est-common-voice-10k	10,000 (90.2%)
Self Citation	535 (4.8%)
covost2-en_et	244 (2.2%)
Other	311 (2.8%)

Text domains

Code	Domain	Clips	Speakers
general	General	620 (1.7%)	148 (13.9%)
agriculture_food	Agriculture and Food	61 (0.2%)	48 (4.5%)
automotive_transport	Automotive and Transport	46 (0.1%)	37 (3.5%)
finance	Finance	42 (0.1%)	34 (3.2%)
service_retail	Service and Retail	14 (0.0%)	14 (1.3%)
healthcare	Healthcare	36 (0.1%)	31 (2.9%)
history_law_government	History, Law and Government	40 (0.1%)	34 (3.2%)
media_entertainment	Media and Entertainment	46 (0.1%)	37 (3.5%)
nature_environment	Nature and Environment	111 (0.3%)	71 (6.7%)
news_current_affairs	News and Current Affairs	23 (0.1%)	22 (2.1%)
technology_robotics	Technology and Robotics	46 (0.1%)	37 (3.5%)
language_fundamentals	Language Fundamentals	17 (0.0%)	16 (1.5%)

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

Discussions

Contribute

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