Common Voice Scripted Speech 25.0 - Slovak

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 1.13 GB


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Description

A collection of read speech recordings in Slovak (Slovenčina).

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

Slovenčina — Slovak (sk)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Slovak [Slovenčina - sk]. The dataset contains 48708 clips representing 58.12 hours of recorded speech (56.64 hours validated) from 272 speakers, recorded from a text corpus of 22,986 sentences.

Language

Accents

CodeAccentClipsSpeakers
-25,053 (51.4%)30 (11.0%)

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.

CodeGenderClipsSpeakers
male_masculineMale, masculine16,419 (33.7%)71 (26.1%)
female_feminineFemale, feminine1,712 (3.5%)16 (5.9%)
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say--
-Unspecified30,577 (62.8%)220 (80.9%)

Gender declared: 18,131 of 48,708 clips (37.2%), 52 of 272 speakers (19.1%)

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.

CodeAgeClipsSpeakers
teensTeens2,237 (4.6%)22 (8.1%)
twentiesTwenties3,053 (6.3%)31 (11.4%)
thirtiesThirties8,317 (17.1%)28 (10.3%)
fourtiesFourties5,945 (12.2%)13 (4.8%)
fiftiesFifties18,555 (38.1%)3 (1.1%)
sixtiesSixties--
seventiesSeventies--
eightiesEighties--
ninetiesNineties--
-Unspecified10,601 (21.8%)215 (79.0%)

Age declared: 38,107 of 48,708 clips (78.2%), 57 of 272 speakers (21.0%)

Data splits for modelling

Clip buckets

BucketClips
Validated47,465 (97.4%)
Invalidated1,241 (2.5%)
Other2 (0.0%)

Training splits

SplitClips
Train9,760 (20.6%)
Dev5,547 (11.7%)
Test5,965 (12.6%)

Training split coverage: 21,272 of 47,465 validated clips (44.8%)

The dataset contains 47465 validated, 1241 invalidated, and 2 unresolved clips. The average clip duration is 4.296 seconds.

Text corpus

Validated sentences: 21,980

CategoryCount
Unvalidated sentences1,006
Pending sentences896
Rejected sentences110
Reported sentences348

The corpus contains 22,986 sentences: 21,980 validated and 1,006 unvalidated (896 pending review, 110 rejected), with 348 reported for review.

Sample

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

  1. Petrová

  2. nezaplatenie; omeškanie platby; nezaplatenie dlhu

  3. Našou úlohou je koordinovať a rozlišovať.

  4. Bol to človek presvedčenia, no bol to láskavý, veľmi dobrý človek, človek veľkej solidarity.

  5. V tomto prípade nestačí uvádzať subsidiaritu členských štátov, pretože ide o spoločné európske hodnoty.

Sources

SourceSentences
sentence-collector8,580 (39.0%)
parallel corpus Slovak-English, 59 MB, 01/2007-11/2011; https://www.statmt.org/europarl/8,317 (37.8%)
Citácia samého seba3,868 (17.6%)
https://sk.wikiquote.org/wiki/Slovensk%C3%A9_pr%C3%ADslovia458 (2.1%)
Citácia samého seba - vlastné mená391 (1.8%)
Other366 (1.7%)

Text domains

CodeDomainClipsSpeakers
generalGeneral14,398 (29.6%)27 (9.9%)
agriculture_foodAgriculture and Food3 (0.0%)2 (0.7%)
automotive_transportAutomotive and Transport271 (0.6%)7 (2.6%)
financeFinance3 (0.0%)2 (0.7%)
service_retailService and Retail--
healthcareHealthcare4 (0.0%)2 (0.7%)
history_law_governmentHistory, Law and Government9,056 (18.6%)20 (7.4%)
media_entertainmentMedia and Entertainment455 (0.9%)7 (2.6%)
nature_environmentNature and Environment289 (0.6%)11 (4.0%)
news_current_affairsNews and Current Affairs330 (0.7%)6 (2.2%)
technology_roboticsTechnology and Robotics945 (1.9%)12 (4.4%)
language_fundamentalsLanguage Fundamentals122 (0.3%)5 (1.8%)

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

Discussions

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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

  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