Common Voice Scripted Speech 25.0 - Latgalian

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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: 665.45 MB


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Description

A collection of read speech recordings in Latgalian (Latgalīšu).

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

Latgalīšu — Latgalian (ltg)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Latgalian [Latgalīšu - ltg]. The dataset contains 25253 clips representing 33.49 hours of recorded speech (30.12 hours validated) from 387 speakers, recorded from a text corpus of 17,354 sentences.

Language

Accents

CodeAccentClipsSpeakers
-12,789 (50.6%)33 (8.5%)

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, masculine1,281 (5.1%)15 (3.9%)
female_feminineFemale, feminine15,310 (60.6%)54 (14.0%)
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say--
-Unspecified8,662 (34.3%)356 (92.0%)

Gender declared: 16,591 of 25,253 clips (65.7%), 31 of 387 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.

CodeAgeClipsSpeakers
teensTeens--
twentiesTwenties2,227 (8.8%)19 (4.9%)
thirtiesThirties5,974 (23.7%)25 (6.5%)
fourtiesFourties8,170 (32.4%)18 (4.7%)
fiftiesFifties221 (0.9%)8 (2.1%)
sixtiesSixties30 (0.1%)1 (0.3%)
seventiesSeventies--
eightiesEighties--
ninetiesNineties--
-Unspecified8,631 (34.2%)356 (92.0%)

Age declared: 16,622 of 25,253 clips (65.8%), 31 of 387 speakers (8.0%)

Data splits for modelling

Clip buckets

BucketClips
Validated22,712 (89.9%)
Invalidated1,857 (7.4%)
Other684 (2.7%)

Training splits

SplitClips
Train4,777 (21.0%)
Dev3,663 (16.1%)
Test3,685 (16.2%)

Training split coverage: 12,125 of 22,712 validated clips (53.4%)

The dataset contains 22712 validated, 1857 invalidated, and 684 unresolved clips. The average clip duration is 4.775 seconds.

Text corpus

Validated sentences: 15,086

CategoryCount
Unvalidated sentences2,268
Pending sentences1,774
Rejected sentences494
Reported sentences80

The corpus contains 17,354 sentences: 15,086 validated and 2,268 unvalidated (1,774 pending review, 494 rejected), with 80 reported for review.

Sample

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

  1. Puotarneicys lapenis pamastys sātys pogroba zemē, sasajaukušys ar bierstūšu smiļkti, zemis gobolim apsabārušys.

  2. *Sātā nav svareiguoka kustūņa par vepri — jis zyna vysu. *

  3. Ūglekļa uztveršona i uzglobuošona, ražuošonys efektivitatis pīaugums. Kai ari pījāmumi, pīmāram, par īnuokumu pīaugumu.

  4. Munai sātai ir ari efektiva apkuris sistema. Plašuok verīs iz prīšku.

  5. Kur var dabuot spylvynu i sagu?

Sources

SourceSentences
Pašatsauce https://www.rta.lv/4,839 (32.1%)
Egita Kancāne Syltuo mola1,254 (8.3%)
https://www.lakuga.lv/1,049 (7.0%)
https://www.facebook.com/LatgolaForever1,037 (6.9%)
pošatsauce1,036 (6.9%)
LR Satversme889 (5.9%)
Valentins Lukasevics Casnagu maizeitis850 (5.6%)
klimata puormainu celveds612 (4.1%)
Latgola Forever438 (2.9%)
Other3,082 (20.4%)

Text domains

CodeDomainClipsSpeakers
generalGeneral6,435 (25.5%)183 (47.3%)
agriculture_foodAgriculture and Food1 (0.0%)1 (0.3%)
automotive_transportAutomotive and Transport--
financeFinance--
service_retailService and Retail1 (0.0%)1 (0.3%)
healthcareHealthcare1 (0.0%)1 (0.3%)
history_law_governmentHistory, Law and Government732 (2.9%)83 (21.4%)
media_entertainmentMedia and Entertainment--
nature_environmentNature and Environment--
news_current_affairsNews and Current Affairs--
technology_roboticsTechnology and Robotics--
language_fundamentalsLanguage Fundamentals--

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

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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