Common Voice Scripted Speech 25.0 - Cantonese

License icon

License:

CC0-1.0

Shield icon

Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 5.99 GB


Share

Description

A collection of read speech recordings in Cantonese (粵語).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

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

粵語 — Cantonese (yue)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Cantonese [粵語 - yue]. The dataset contains 279321 clips representing 307.36 hours of recorded speech (210.67 hours validated) from 1179 speakers, recorded from a text corpus of 28,727 sentences.

Language

Accents

CodeAccentClipsSpeakers
-126,764 (45.4%)145 (12.3%)

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.

CodeGenderClipsSpeakers
male_masculineMale, masculine47,656 (17.1%)114 (9.7%)
female_feminineFemale, feminine174,436 (62.5%)132 (11.2%)
transgenderTransgender--
non-binaryNon-binary1,014 (0.4%)2 (0.2%)
do_not_wish_to_sayPrefer not to say59 (0.0%)1 (0.1%)
-Unspecified56,156 (20.1%)1,004 (85.2%)

Gender declared: 223,165 of 279,321 clips (79.9%), 175 of 1,179 speakers (14.8%)

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.

CodeAgeClipsSpeakers
teensTeens1,999 (0.7%)20 (1.7%)
twentiesTwenties81,648 (29.2%)118 (10.0%)
thirtiesThirties131,250 (47.0%)93 (7.9%)
fourtiesFourties10,231 (3.7%)40 (3.4%)
fiftiesFifties222 (0.1%)5 (0.4%)
sixtiesSixties600 (0.2%)4 (0.3%)
seventiesSeventies--
eightiesEighties--
ninetiesNineties1,004 (0.4%)1 (0.1%)
-Unspecified52,367 (18.7%)985 (83.5%)

Age declared: 226,954 of 279,321 clips (81.3%), 194 of 1,179 speakers (16.5%)

Data splits for modelling

Clip buckets

BucketClips
Validated191,452 (68.5%)
Invalidated8,092 (2.9%)
Other79,777 (28.6%)

Training splits

SplitClips
Train7,420 (3.9%)
Dev5,130 (2.7%)
Test5,130 (2.7%)

Training split coverage: 17,680 of 191,452 validated clips (9.2%)

The dataset contains 191452 validated, 8092 invalidated, and 79777 unresolved clips. The average clip duration is 3.961 seconds.

Text corpus

Validated sentences: 18,556

CategoryCount
Unvalidated sentences10,171
Pending sentences10,157
Rejected sentences14
Reported sentences2,257

The corpus contains 28,727 sentences: 18,556 validated and 10,171 unvalidated (10,157 pending review, 14 rejected), with 2,257 reported for review.

Sample

There follows a randomly selected sample of five sentences from the corpus.

  1. 反正又唔好用

  2. 邊個坐緊喺度?

  3. 咁難接受嘅?

  4. 由一開始就話自己冇仔咪得

  5. 原來一個人得閒起上嚟加加埋埋可以講到咁多廢話

Sources

SourceSentences
sentence-collector9,444 (50.9%)
Personal chat history6,001 (32.3%)
Group chat history2,804 (15.1%)
Other307 (1.7%)

Text domains

CodeDomainClipsSpeakers
generalGeneral1,682 (0.6%)83 (7.0%)
agriculture_foodAgriculture and Food18 (0.0%)18 (1.5%)
automotive_transportAutomotive and Transport52 (0.0%)30 (2.5%)
financeFinance128 (0.0%)32 (2.7%)
service_retailService and Retail612 (0.2%)51 (4.3%)
healthcareHealthcare417 (0.1%)48 (4.1%)
history_law_governmentHistory, Law and Government67 (0.0%)28 (2.4%)
media_entertainmentMedia and Entertainment192 (0.1%)36 (3.1%)
nature_environmentNature and Environment188 (0.1%)39 (3.3%)
news_current_affairsNews and Current Affairs114 (0.0%)31 (2.6%)
technology_roboticsTechnology and Robotics95 (0.0%)30 (2.5%)
language_fundamentalsLanguage Fundamentals--

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 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.tsv

The 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.tsv

The 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)

Get involved

Community links

Discussions

Contribute

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

  1. 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