Common Voice Scripted Speech 25.0 - Chinese (Hong Kong)

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 3.42 GB


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Description

A collection of read speech recordings in Chinese (Hong Kong) (中文(香港)).

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

中文(香港) — Chinese (Hong Kong) (zh-HK)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Chinese (Hong Kong) [中文(香港) - zh-HK]. The dataset contains 124168 clips representing 143.15 hours of recorded speech (108.51 hours validated) from 3110 speakers, recorded from a text corpus of 20,208 sentences.

Language

Accents

CodeAccentClipsSpeakers
-5,289 (4.3%)47 (1.5%)

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, masculine50,049 (40.3%)468 (15.0%)
female_feminineFemale, feminine27,828 (22.4%)294 (9.5%)
transgenderTransgender15 (0.0%)1 (0.0%)
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say99 (0.1%)2 (0.1%)
-Unspecified46,177 (37.2%)2,398 (77.1%)

Gender declared: 77,991 of 124,168 clips (62.8%), 712 of 3,110 speakers (22.9%)

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
teensTeens2,774 (2.2%)57 (1.8%)
twentiesTwenties40,848 (32.9%)391 (12.6%)
thirtiesThirties13,096 (10.5%)217 (7.0%)
fourtiesFourties15,332 (12.3%)111 (3.6%)
fiftiesFifties3,552 (2.9%)28 (0.9%)
sixtiesSixties809 (0.7%)6 (0.2%)
seventiesSeventies243 (0.2%)1 (0.0%)
eightiesEighties--
ninetiesNineties--
-Unspecified47,514 (38.3%)2,363 (76.0%)

Age declared: 76,654 of 124,168 clips (61.7%), 747 of 3,110 speakers (24.0%)

Data splits for modelling

Clip buckets

BucketClips
Validated94,118 (75.8%)
Invalidated4,667 (3.8%)
Other25,383 (20.4%)

Training splits

SplitClips
Train8,450 (9.0%)
Dev5,604 (6.0%)
Test5,604 (6.0%)

Training split coverage: 19,658 of 94,118 validated clips (20.9%)

The dataset contains 94118 validated, 4667 invalidated, and 25383 unresolved clips. The average clip duration is 4.151 seconds.

Text corpus

Validated sentences: 20,148

CategoryCount
Unvalidated sentences60
Pending sentences37
Rejected sentences23
Reported sentences812

The corpus contains 20,208 sentences: 20,148 validated and 60 unvalidated (37 pending review, 23 rejected), with 812 reported for review.

Sample

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

  1. 鹽燒銀雪魚骨

  2. 我住喺大水坑站附近

  3. 航天城路

  4. 冇錯,基本上,我由中一至中五都係喺呢種咁超然嘅思想下度過

  5. 做人做事,踏實好過疊水

Sources

SourceSentences
sentence-collector19,013 (94.4%)
hkgov259 (1.3%)
Self citation252 (1.3%)
mtr216 (1.1%)
Other408 (2.0%)

Text domains

CodeDomainClipsSpeakers
generalGeneral1,032 (0.8%)37 (1.2%)
agriculture_foodAgriculture and Food--
automotive_transportAutomotive and Transport31 (0.0%)15 (0.5%)
financeFinance46 (0.0%)17 (0.5%)
service_retailService and Retail317 (0.3%)33 (1.1%)
healthcareHealthcare94 (0.1%)24 (0.8%)
history_law_governmentHistory, Law and Government84 (0.1%)26 (0.8%)
media_entertainmentMedia and Entertainment53 (0.0%)19 (0.6%)
nature_environmentNature and Environment58 (0.0%)20 (0.6%)
news_current_affairsNews and Current Affairs25 (0.0%)13 (0.4%)
technology_roboticsTechnology and Robotics54 (0.0%)18 (0.6%)
language_fundamentalsLanguage Fundamentals88 (0.1%)21 (0.7%)

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

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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