Common Voice Scripted Speech 25.0 - Latvian
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 3/23/2026
Format: MP3
Size: 5.84 GB
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Description
A collection of read speech recordings in Latvian (Latviešu).
Specifics
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
Latviešu — Latvian (lv)
This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Latvian [Latviešu - lv]. The dataset contains 231784 clips representing 309.67 hours of recorded speech (265.39 hours validated) from 6548 speakers, recorded from a text corpus of 99,607 sentences.
Language
Latvian is an Baltic language belonging to the Indo-European language family. It is spoken in the Baltic region, and is the official language of Latvia as well as one of the official languages of the European Union. There are about 1.5 million native Latvian speakers in Latvia and 100,000 abroad. It uses the Latin alphabet with additional diacritical marks to represent specific sounds.
Variants
There are slight stylistic speach variations among different regions of Latvia, but they do not affect mutual
intelligibility. Latgale region has more significant differences with main Latvian language. It is sometimes
considered a dialect, but Latgalian (ltg) speech is collected as a separate language in Common Voice.
Accents
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 55,746 (24.1%) | 1,182 (18.1%) |
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 | 57,480 (24.8%) | 366 (5.6%) |
| female_feminine | Female, feminine | 69,747 (30.1%) | 514 (7.8%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | 114 (0.0%) | 1 (0.0%) |
| do_not_wish_to_say | Prefer not to say | 15 (0.0%) | 1 (0.0%) |
| - | Unspecified | 104,428 (45.1%) | 6,216 (94.9%) |
Gender declared: 127,356 of 231,784 clips (54.9%), 332 of 6,548 speakers (5.1%)
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.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | 3,081 (1.3%) | 84 (1.3%) |
| twenties | Twenties | 14,567 (6.3%) | 173 (2.6%) |
| thirties | Thirties | 65,735 (28.4%) | 294 (4.5%) |
| fourties | Fourties | 21,662 (9.3%) | 228 (3.5%) |
| fifties | Fifties | 19,177 (8.3%) | 101 (1.5%) |
| sixties | Sixties | 4,396 (1.9%) | 33 (0.5%) |
| seventies | Seventies | 220 (0.1%) | 6 (0.1%) |
| eighties | Eighties | 135 (0.1%) | 2 (0.0%) |
| nineties | Nineties | - | - |
| - | Unspecified | 102,811 (44.4%) | 6,197 (94.6%) |
Age declared: 128,973 of 231,784 clips (55.6%), 351 of 6,548 speakers (5.4%)
Data splits for modelling
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 198,641 (85.7%) |
| Invalidated | 11,635 (5.0%) |
| Other | 21,508 (9.3%) |
Training splits
| Split | Clips |
|---|---|
| Train | 14,772 (7.4%) |
| Dev | 7,825 (3.9%) |
| Test | 7,825 (3.9%) |
Training split coverage: 30,422 of 198,641 validated clips (15.3%)
The dataset contains 198641 validated, 11635 invalidated, and 21508 unresolved clips. The average clip duration is 4.81 seconds.
Text corpus
Validated sentences: 34,635
| Category | Count |
|---|---|
| Unvalidated sentences | 64,972 |
| Pending sentences | 62,983 |
| Rejected sentences | 1,989 |
| Reported sentences | 3,107 |
The corpus contains 99,607 sentences: 34,635 validated and 64,972 unvalidated (62,983 pending review, 1,989 rejected), with 3,107 reported for review.
Writing system
Latvian alphabet is based on the Latin script and consists of 33 letters, including special characters with diacritical marks such as ā, č, ē, ģ, ī, ķ, ļ, ņ, š, ū, and ž.
Historic texts also used letter /ŗ/, but use of it has been officially discontinued since 1946. This letter is equivalent to letter /r/ in modern Latvian orthography.
Letter /o/ can represent three different sounds [ua̯], [ɔ], [ɔː].
Letter /e/ can represent two different sounds [e], [æ].
Symbol table
a ā b c č d e ē f g ģ h i ī j k ķ l ļ m n ņ o p r s š t u ū v z ž
Sample
There follows a randomly selected sample of five sentences from the corpus.
Taču tas nenozīmē, ka tā mums jāatdod uz mūžīgiem laikiem.
Es gluži tā neteiktu.
Ieviņa īstenībā nav tāda, kā viņa līdz šim gražojās ar vārdiem.
Un vai tādēļ mēs tagad lieksimies citu valstu priekšā?
Mēs jau esam atraduši naudu un mēģinām izveidot programmas struktūru.
Sources
Text sources in the dataset consists of user added content as well as balanced sets of samples from Wikipedia, European parliament transcripts, out of copyright books and other sources.
| Source | Sentences |
|---|---|
| https://korpuss.lv/id/PanDi | 10,134 (29.3%) |
| sentence-collector | 8,275 (23.9%) |
| https://lv.wikipedia.org/ | 3,631 (10.5%) |
| https://korpuss.lv/id/Saeima | 2,520 (7.3%) |
| https://huggingface.co/datasets/open_subtitles | 2,336 (6.7%) |
| Autobiogrāfijas | 2,319 (6.7%) |
| Pašatsauce | 1,399 (4.0%) |
| https://huggingface.co/datasets/europarl_bilingual | 1,223 (3.5%) |
| https://huggingface.co/datasets/clips/mqa/viewer/lv-all-question/train | 619 (1.8%) |
| Other | 2,179 (6.3%) |
Text domains
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 750 (0.3%) | 287 (4.4%) |
| agriculture_food | Agriculture and Food | 8 (0.0%) | 8 (0.1%) |
| automotive_transport | Automotive and Transport | 3 (0.0%) | 3 (0.0%) |
| finance | Finance | 5 (0.0%) | 5 (0.1%) |
| service_retail | Service and Retail | 16 (0.0%) | 15 (0.2%) |
| healthcare | Healthcare | 36 (0.0%) | 31 (0.5%) |
| history_law_government | History, Law and Government | 9 (0.0%) | 9 (0.1%) |
| media_entertainment | Media and Entertainment | 17 (0.0%) | 16 (0.2%) |
| nature_environment | Nature and Environment | 45 (0.0%) | 38 (0.6%) |
| news_current_affairs | News and Current Affairs | 5 (0.0%) | 5 (0.1%) |
| technology_robotics | Technology and Robotics | 15 (0.0%) | 14 (0.2%) |
| language_fundamentals | Language Fundamentals | 9 (0.0%) | 9 (0.1%) |
Recommended post-processing
Filter out clips with /ŗ/
Filter out clips with characters not in the Latvian alphabet
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 userpath- relative path of the audio filetext- supposed transcription of the audioup_votes- number of people who said audio matches the textdown_votes- number of people who said audio does not match textage- age of the speaker1gender- gender of the speaker1accents- accents of the speaker1variant- variant of the language1segment- if sentence belongs to a custom dataset segment, it will be listed hereprompt_upvotes- number of upvotes the sentence prompt receivedprompt_reports- number of reports the sentence prompt receivedis_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 sentencesentence- the sentence textvariant- the variant of the languagesentence_domain- the domain(s) the sentence belongs tosource- the source the sentence was collected fromis_used- whether the sentence is still in circulation for recordingclips_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 sentencesentence- the sentence textvariant- the variant of the languagesentence_domain- the domain(s) the sentence belongs tosource- the source the sentence was collected fromup_votes- number of upvotes the sentence receiveddown_votes- number of downvotes the sentence receivedstatus- current status of the sentence (pendingorrejected)
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Acknowledgements
Datasheet authors
Raivis Dejus
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