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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 260.23 MB
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A collection of read speech recordings in Cornish (Kernowek).
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.
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.
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".
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 2,828 (25.1%) | 5 (50.0%) |
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 | - | - |
| 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%)
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%)
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.
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.
Cornish has several writing systems in place. The majority of this dataset uses the Standard Written Form, established in 2008.
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
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?
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%) |
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 | - | - |
Check the data for Unicode errors in the Cornish. These should be the character '.
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.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)
Sam Rogerson
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