Common Voice Scripted Speech 25.0 - Cornish
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 3/22/2026
Format: MP3
Size: 260.23 MB
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Description
A collection of read speech recordings in Cornish (Kernowek).
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
Kernowek — Cornish (kw)
This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Cornish [Kernowek - kw]. The dataset contains 11264 clips representing 12.89 hours of recorded speech (12.37 hours validated) from 10 speakers, recorded from a text corpus of 9,609 sentences.
Language
Cornish, or Kernewek, is a Brythonic language, alongside Breton and Welsh, and part of the Celtic Indo-European language family. It is an indigenous language of the United Kingdom, with most speakers located in Cornwall. In the 2021 UK Census 567 people self-identified Cornish as their main language. UNESCO has classified its status as "severely endangered".
Accents
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 2,828 (25.1%) | 5 (50.0%) |
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.
| Code | Gender | Clips | Speakers |
|---|---|---|---|
| male_masculine | Male, masculine | - | - |
| female_feminine | Female, feminine | 3,876 (34.4%) | 4 (40.0%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 7,388 (65.6%) | 6 (60.0%) |
Gender declared: 3,876 of 11,264 clips (34.4%), 4 of 10 speakers (40.0%)
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.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | - | - |
| twenties | Twenties | - | - |
| thirties | Thirties | - | - |
| fourties | Fourties | 3,866 (34.3%) | 3 (30.0%) |
| fifties | Fifties | 5,301 (47.1%) | 1 (10.0%) |
| sixties | Sixties | 257 (2.3%) | 2 (20.0%) |
| seventies | Seventies | 526 (4.7%) | 1 (10.0%) |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 1,314 (11.7%) | 4 (40.0%) |
Age declared: 9,950 of 11,264 clips (88.3%), 6 of 10 speakers (60.0%)
Data splits for modelling
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 10,806 (95.9%) |
| Invalidated | 398 (3.5%) |
| Other | 60 (0.5%) |
Training splits
| Split | Clips |
|---|---|
| Train | 6,223 (57.6%) |
| Dev | - |
| Test | 2,401 (22.2%) |
Training split coverage: 8,624 of 10,806 validated clips (79.8%)
The dataset contains 10806 validated, 398 invalidated, and 60 unresolved clips. The average clip duration is 4.121 seconds.
Text corpus
The dataset contains 10.8 validated hours of speech from 10 unique contributors.
| Type | Count | Hours |
|---|---|---|
| Validated Clips | 9,357 | 10.8 |
| Invalidated Clips | 0 | 0.00 |
| Total Clips | 9,357 | 10.8 |
Average sentence length (tokens): 6.4
Average sentence length (characters): 31
Validated sentences: 9,609
| Category | Count |
|---|---|
| Unvalidated sentences | - |
| Pending sentences | - |
| Rejected sentences | - |
| Reported sentences | 43 |
The corpus contains 9,609 sentences: 9,609 validated and 0 unvalidated (0 pending review, 0 rejected), with 43 reported for review.
Writing system
Cornish has several writing systems in place. The majority of this dataset uses the Standard Written Form, established in 2008.
Symbol table
The dataset uses the following characters:
' - ! , . ? a b c d e f g h i j k l m n o p r s t u v w x y z
Sample
There follows a randomly selected sample of five sentences from the corpus.
Hy daras yw gwyrdh.
Ty a wra mos dhe'n sodhva. Res yw dhis mos dhe'n sodhva.
Yma bleujen genen.
Yma blew berr dhedhi.
Yma kathes y'n lowarth. Py lies eus?
Sources
The text for this dataset comes from the following sources:
IndyLan Cornish course. Author: Cornish Language Office. Standard Written Form.
Individual sentences submitted by users through the Mozilla Common Voice interface (public domain)
| Source | Sentences |
|---|---|
| Cornish Language Office | 9,608 (100.0%) |
| Other | 1 (0.0%) |
Text domains
General — The majority of this dataset focuses on conversational phrases with the intention to cover a broad range of grammatical points.
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 12,719 (112.9%) | 10 (100.0%) |
| 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 | - | - |
Recommended post-processing
Check the data for Unicode errors in the Cornish. These should be the character
'.
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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Community links
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Acknowledgements
Datasheet authors
Sam Rogerson
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