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Release Date: 9/17/2026
Format: MP3
Size: 865.66 MB
A collection of read speech recordings in Breton (Brezhoneg).
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.
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.
br)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Breton [Brezhoneg - br]. The dataset contains 41010 clips representing 37.68 hours of recorded speech (35.41 hours validated) from 299 speakers, recorded from a text corpus of 42,676 sentences.
Breton (Brezhoneg) is the only Celtic language spoken on the continent. It belongs to the Brittonic branch of the Celtic languages, like Welsh and Cornish. Breton is classified as "severely endangered" by the UNESCO Atlas of the World's Languages in Danger. The language declined from more than one million speakers around 1950 to less than 200 000 in 2024. After a period of intense protest that began in the 1960s, Breton gradually regained a place in schools, on road signs, then in the media, public life in general, and more recently in digital technology. With the creation of the first bilingual schools at the end of the 1970s, young people were once again speaking Breton, and a change in the way people viewed the language and its use began. Approximately 20 000 pupils attend Breton bilingual classes, either in the Diwan network (immersive teaching) or in bilingual classes in public and catholic school systems. In addition to evening breton classes for adults (~4 000), long-term courses (6 to 9 months) are offered to adults, with approximately 350 places available annually and online courses too (more than 15 000 learners).
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| kerneveg | Kerneveg | 9,533 (23.2%) | 31 (10.4%) |
| gwenedeg | Gwenedeg | 6,626 (16.2%) | 16 (5.4%) |
| leoneg | Leoneg | 2,548 (6.2%) | 32 (10.7%) |
| tregerieg | Tregerieg | 275 (0.7%) | 7 (2.3%) |
| - | Other | 204 (0.5%) | 8 (2.7%) |
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
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 | 21,207 (51.7%) | 65 (21.7%) |
| female_feminine | Female, feminine | 2,320 (5.7%) | 18 (6.0%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 17,483 (42.6%) | 232 (77.6%) |
Gender declared: 23,527 of 41,010 clips (57.4%), 67 of 299 speakers (22.4%)
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 | 279 (0.7%) | 3 (1.0%) |
| twenties | Twenties | 10,370 (25.3%) | 37 (12.4%) |
| thirties | Thirties | 8,839 (21.6%) | 31 (10.4%) |
| fourties | Fourties | 2,163 (5.3%) | 16 (5.4%) |
| fifties | Fifties | 2,854 (7.0%) | 16 (5.4%) |
| sixties | Sixties | 4,746 (11.6%) | 11 (3.7%) |
| seventies | Seventies | 2,184 (5.3%) | 7 (2.3%) |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 9,575 (23.3%) | 201 (67.2%) |
Age declared: 31,435 of 41,010 clips (76.7%), 98 of 299 speakers (32.8%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 38,541 (94.0%) |
| Invalidated | 2,469 (6.0%) |
| Other | - |
Training splits
| Split | Clips |
|---|---|
| Train | 6,597 (17.1%) |
| Dev | 4,672 (12.1%) |
| Test | 4,702 (12.2%) |
Training split coverage: 15,971 of 38,541 validated clips (41.4%)
The dataset contains 38541 validated, 2469 invalidated, and 0 unresolved clips. The average clip duration is 3.308 seconds.
Validated sentences: 42,536
| Category | Count |
|---|---|
| Unvalidated sentences | 140 |
| Pending sentences | 31 |
| Rejected sentences | 109 |
| Reported sentences | 317 |
The corpus contains 42,676 sentences: 42,536 validated and 140 unvalidated (31 pending review, 109 rejected), with 317 reported for review.
The writing system in this dataset uses general Latin script. The diacritics à, è and é may appear in the transcription of Gwenedeg variant.
a â b ch c'h d e ê f g h i j k l m n ñ o ô p r s t u ù û ü v w y z
à è é (for gwenedeg variant)
c q x (foreign, loanwords)
There follows a randomly selected sample of five sentences from the corpus.
| Source | Sentences |
|---|---|
| OPAB | 15,538 (36.5%) |
| ofis_publik_ar_brezhoneg | 6,506 (15.3%) |
| Kelaouenn Ya! | 4,655 (10.9%) |
| Desketa (OPAB) | 4,429 (10.4%) |
| kelaouenn Ya! | 2,679 (6.3%) |
| Tangi Malmanche (1875-1953) | 987 (2.3%) |
| Emveneg | 783 (1.8%) |
| Ar Bibl e brezhoneg | 742 (1.7%) |
| Grand dictionnaire Français-breton, François Vallée, 1931 | 689 (1.6%) |
| Other | 5,528 (13.0%) |
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 9,037 (22.0%) | 99 (33.1%) |
| agriculture_food | Agriculture and Food | 4 (0.0%) | 3 (1.0%) |
| automotive_transport | Automotive and Transport | 2 (0.0%) | 2 (0.7%) |
| finance | Finance | 5 (0.0%) | 4 (1.3%) |
| service_retail | Service and Retail | 4 (0.0%) | 3 (1.0%) |
| healthcare | Healthcare | 13 (0.0%) | 7 (2.3%) |
| history_law_government | History, Law and Government | 12 (0.0%) | 8 (2.7%) |
| media_entertainment | Media and Entertainment | 16 (0.0%) | 8 (2.7%) |
| nature_environment | Nature and Environment | 9 (0.0%) | 6 (2.0%) |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | 4 (0.0%) | 4 (1.3%) |
| language_fundamentals | Language Fundamentals | - | - |
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 filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_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 language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe 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 sentenceunvalidated_sentences.tsvThe 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 (pending or rejected)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.
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