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Release Date: 6/17/2026
Format: MP3
Size: 3.89 GB
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A collection of read speech recordings in Welsh (Cymraeg).
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.
cy)This datasheet is for cv-corpus-26.0-2026-06-12 of the Mozilla Common Voice Scripted Speech dataset for Welsh [Cymraeg - cy]. The dataset contains 116157 clips representing 158.66 hours of recorded speech (124.15 hours validated) from 1936 speakers, recorded from a text corpus of 118,059 sentences.
The Welsh language (Cymraeg - /kəmˈraːiɡ/) belongs to the Celtic language family, specifically the Brythonic branch of Insular Celtic. Welsh evolved in the 6th century, alongside Breton and Cornish, from Common Brittonic, the common language previously spoken throughout Great Britain during the Iron Age and Roman period. The language has experienced contact with English since medieval times, leading to extensive lexical borrowing and gradual language shift intensified by socioeconomic factors and educational policies. It's resilience however stems from concentrated communities, intergenerational transmission, cultural traditions like the Eisteddfod, and religious revival movements. Strategic activism by speakers from the 1960s onwards has transformed Welsh from a declining minority language into one with official legal status. The most recent census shows 538,300 speakers (17.8% of Wales' population), though other surveys suggest higher figures of up to 862,700 speakers. Legislation by the Senedd (Welsh Parliament) supports revitalization through education and technology, with the goal of achieving one million speakers and doubled daily usage by 2050.
Welsh language speech varies significantly across proficiency levels (from native speakers and learners to passive understanders), regional dialects (mainly northern and southern, plus Patagonian Welsh), and registers (formal literary Welsh versus more informal colloquial spoken forms that sometimes incorporates code-switching). Speaker competence ranges widely, with some demonstrating full fluency across all domains while others show more limited or context-specific abilities.
| Code | Variant | Clips | Speakers |
|---|---|---|---|
| cy-northeas | North-Eastern Welsh | 3,463 (3.0%) | 17 (0.9%) |
| cy-southeas | South-Eastern Welsh | 1,531 (1.3%) | 26 (1.3%) |
| cy-midwales | Mid Wales | 1,288 (1.1%) | 13 (0.7%) |
| cy-northwes | North-Western Welsh | 1,096 (0.9%) | 24 (1.2%) |
| cy-southwes | South-Western Welsh | 726 (0.6%) | 42 (2.2%) |
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| united_kingdom | Y Deyrnas Unedig Cymraeg | 59,782 (51.5%) | 429 (22.2%) |
| - | Other | 3,651 (3.1%) | 32 (1.7%) |
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 | 37,860 (32.6%) | 273 (14.1%) |
| female_feminine | Female, feminine | 28,484 (24.5%) | 219 (11.3%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | 102 (0.1%) | 1 (0.1%) |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 49,711 (42.8%) | 1,507 (77.8%) |
Gender declared: 66,446 of 116,157 clips (57.2%), 429 of 1,936 speakers (22.2%)
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 | 2,738 (2.4%) | 33 (1.7%) |
| twenties | Twenties | 15,148 (13.0%) | 109 (5.6%) |
| thirties | Thirties | 10,832 (9.3%) | 110 (5.7%) |
| fourties | Fourties | 18,222 (15.7%) | 103 (5.3%) |
| fifties | Fifties | 10,544 (9.1%) | 65 (3.4%) |
| sixties | Sixties | 7,938 (6.8%) | 69 (3.6%) |
| seventies | Seventies | 1,015 (0.9%) | 16 (0.8%) |
| eighties | Eighties | 323 (0.3%) | 4 (0.2%) |
| nineties | Nineties | - | - |
| - | Unspecified | 49,397 (42.5%) | 1,494 (77.2%) |
Age declared: 66,760 of 116,157 clips (57.5%), 442 of 1,936 speakers (22.8%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 90,893 (78.3%) |
| Invalidated | 4,472 (3.8%) |
| Other | 20,792 (17.9%) |
Training splits
| Split | Clips |
|---|---|
| Train | 8,033 (8.8%) |
| Dev | 5,417 (6.0%) |
| Test | 5,417 (6.0%) |
Training split coverage: 18,867 of 90,893 validated clips (20.8%)
The dataset contains 90893 validated, 4472 invalidated, and 20792 unresolved clips. The average clip duration is 4.918 seconds.
Validated sentences: 118,044
| Category | Count |
|---|---|
| Unvalidated sentences | 15 |
| Pending sentences | 1 |
| Rejected sentences | 14 |
| Reported sentences | 176 |
The corpus contains 118,059 sentences: 118,044 validated and 15 unvalidated (1 pending review, 14 rejected), with 176 reported for review.
Welsh employs a Latin alphabet of 29 letters, including eight digraphs (ch, dd, ff, ng, ll, ph, rh, th) treated as single letters for alphabetization, and treats "w" and "y" as vowels. The orthography is largely phonetic with predictable sound-letter correspondences. Loanwords, especially from English, are occasionally adapted to Welsh spelling conventions.
The 29 letters used for alphabetization in Welsh are:
a b c ch d dd e f ff g ng h i j l ll m n o p ph r rh s t th u w y
The letter j is borrowed from English to represent the borrowed /dʒ/ consonant phoneme.
Welsh also uses diacritical marks on vowels (considered variants of their base letters, not separate letters for alphabetization):
With circumflex ('to bach'): â ê î ô û ŵ ŷ
With acute accent: á é í ó ú ẃ ý
With grave accent: à è ì ò ù ẁ ỳ
With diaeresis: ä ë ï ö ü ẅ ÿ
The traditional system lacks letters k, q, v, x, z, although these can appear in proper nouns and technical terms.
There follows a randomly selected sample of five sentences from the corpus.
Dyma’r seithfed maes awyr prysuraf yng Ngwlad Pwyl.
Mae'r rhan fwyaf o'r wlad yn hygyrch ar y ffordd.
Mae yna sawl man peryglus lle gellir cael damwain ar hyd y ffordd.
Gelwid mannau sefyll o’r fath yn “derasau” ym Mhrydain.
Oherwydd hyn, maen nhw weithiau’n paru gan gynhyrchu hybridau.
| Source | Sentences |
|---|---|
| covost | 101,528 (86.0%) |
| sentence-collector | 14,954 (12.7%) |
| Other | 1,562 (1.3%) |
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 1 (0.0%) | 1 (0.1%) |
| agriculture_food | Agriculture and Food | - | - |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | - | - |
| history_law_government | History, Law and Government | - | - |
| media_entertainment | Media and Entertainment | - | - |
| nature_environment | Nature and Environment | - | - |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | - | - |
| 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 user
path - relative path of the audio file
sentence - the sentence to be read aloud
sentence_id - unique identifier for the sentence
sentence_domain - domain classification(s) of the sentence
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
locale - locale code of the language
segment - if sentence belongs to a custom dataset segment, it will be listed here
validated_sentences.tsvThe 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.tsvThe 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)
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