Common Voice Scripted Speech 25.0 - Chinese (China)

License:

CC0-1.0

Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 21.38 GB

Description

A collection of read speech recordings in Chinese (China) (汉语（中国大陆）).

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

汉语（中国大陆） — Chinese (China) (`zh-CN`)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Chinese (China) [汉语（中国大陆） - zh-CN]. The dataset contains 851641 clips representing 1073.77 hours of recorded speech (239.14 hours validated) from 7546 speakers, recorded from a text corpus of 60,052 sentences.

Language

Accents

Code	Accent	Clips	Speakers
110000	出生地：11 北京市	7,174 (0.8%)	128 (1.7%)
360000	出生地：36 江西省	5,638 (0.7%)	41 (0.5%)
440000	出生地：44 广东省	4,621 (0.5%)	94 (1.2%)
230000	出生地：23 黑龙江省	3,971 (0.5%)	45 (0.6%)
320000	出生地：32 江苏省	3,913 (0.5%)	95 (1.3%)
370000	出生地：37 山东省	3,701 (0.4%)	98 (1.3%)
310000	出生地：31 上海市	3,526 (0.4%)	59 (0.8%)
330000	出生地：33 浙江省	2,917 (0.3%)	87 (1.2%)
210000	出生地：21 辽宁省	2,904 (0.3%)	42 (0.6%)
120000	出生地：12 天津市	2,889 (0.3%)	19 (0.3%)
510000	出生地：51 四川省	2,698 (0.3%)	74 (1.0%)
410000	出生地：41 河南省	2,275 (0.3%)	68 (0.9%)
130000	出生地：13 河北省	1,930 (0.2%)	58 (0.8%)
350000	出生地：35 福建省	1,810 (0.2%)	36 (0.5%)
420000	出生地：42 湖北省	1,792 (0.2%)	54 (0.7%)
450000	出生地：45 广西壮族自治区	1,685 (0.2%)	24 (0.3%)
340000	出生地：34 安徽省	1,411 (0.2%)	42 (0.6%)
500000	出生地：50 重庆市	1,404 (0.2%)	21 (0.3%)
140000	出生地：14 山西省	1,391 (0.2%)	30 (0.4%)
430000	出生地：43 湖南省	1,053 (0.1%)	51 (0.7%)
610000	出生地：61 陕西省	685 (0.1%)	37 (0.5%)
220000	出生地：22 吉林省	534 (0.1%)	24 (0.3%)
640000	出生地：64 宁夏回族自治区	414 (0.0%)	6 (0.1%)
650000	出生地：65 新疆维吾尔自治区	355 (0.0%)	18 (0.2%)
460000	出生地：46 海南省	331 (0.0%)	2 (0.0%)
150000	出生地：15 内蒙古自治区	277 (0.0%)	17 (0.2%)
530000	出生地：53 云南省	240 (0.0%)	14 (0.2%)
620000	出生地：62 甘肃省	182 (0.0%)	16 (0.2%)
520000	出生地：52 贵州省	164 (0.0%)	13 (0.2%)
810000	出生地：81 香港特别行政区	113 (0.0%)	4 (0.1%)
710000	出生地：71 台湾省	85 (0.0%)	2 (0.0%)
630000	出生地：63 青海省	5 (0.0%)	1 (0.0%)
540000	出生地：54 西藏自治区	5 (0.0%)	1 (0.0%)
-	Other	3,898 (0.5%)	79 (1.0%)

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	48,479 (5.7%)	975 (12.9%)
female_feminine	Female, feminine	12,282 (1.4%)	255 (3.4%)
transgender	Transgender	-	-
non-binary	Non-binary	238 (0.0%)	2 (0.0%)
do_not_wish_to_say	Prefer not to say	536 (0.1%)	9 (0.1%)
-	Unspecified	790,106 (92.8%)	6,434 (85.3%)

Gender declared: 61,535 of 851,641 clips (7.2%), 1,112 of 7,546 speakers (14.7%)

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	11,550 (1.4%)	230 (3.0%)
twenties	Twenties	41,678 (4.9%)	877 (11.6%)
thirties	Thirties	11,719 (1.4%)	192 (2.5%)
fourties	Fourties	2,192 (0.3%)	59 (0.8%)
fifties	Fifties	165 (0.0%)	10 (0.1%)
sixties	Sixties	6 (0.0%)	2 (0.0%)
seventies	Seventies	5 (0.0%)	1 (0.0%)
eighties	Eighties	-	-
nineties	Nineties	30 (0.0%)	2 (0.0%)
-	Unspecified	784,296 (92.1%)	6,318 (83.7%)

Age declared: 67,345 of 851,641 clips (7.9%), 1,228 of 7,546 speakers (16.3%)

Data splits for modelling

Clip buckets

Bucket	Clips
Validated	189,674 (22.3%)
Invalidated	59,226 (7.0%)
Other	602,741 (70.8%)

Training splits

Split	Clips
Train	29,608 (15.6%)
Dev	10,653 (5.6%)
Test	10,653 (5.6%)

Training split coverage: 50,914 of 189,674 validated clips (26.8%)

The dataset contains 189674 validated, 59226 invalidated, and 602741 unresolved clips. The average clip duration is 4.539 seconds.

Text corpus

Validated sentences: 59,143

Category	Count
Unvalidated sentences	909
Pending sentences	22
Rejected sentences	887
Reported sentences	1,145

The corpus contains 60,052 sentences: 59,143 validated and 909 unvalidated (22 pending review, 887 rejected), with 1,145 reported for review.

Sample

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

这可能导致真正的社会不平等和不公正。
京沈公路过境。
平谷区长城列表旨在列出中国北京市平谷区的长城墙体及附属设施。
但高速铁路毋须自行驾车会较为舒适。
归入第五批全国重点文物保护单位直波碉楼。

Sources

Source	Sentences
wiki	54,638 (92.4%)
cn	2,881 (4.9%)
Other	1,623 (2.7%)

Text domains

Code	Domain	Clips	Speakers
general	General	890 (0.1%)	153 (2.0%)
agriculture_food	Agriculture and Food	55 (0.0%)	36 (0.5%)
automotive_transport	Automotive and Transport	75 (0.0%)	54 (0.7%)
finance	Finance	111 (0.0%)	53 (0.7%)
service_retail	Service and Retail	58 (0.0%)	44 (0.6%)
healthcare	Healthcare	139 (0.0%)	71 (0.9%)
history_law_government	History, Law and Government	394 (0.0%)	111 (1.5%)
media_entertainment	Media and Entertainment	1,672 (0.2%)	156 (2.1%)
nature_environment	Nature and Environment	63 (0.0%)	42 (0.6%)
news_current_affairs	News and Current Affairs	194 (0.0%)	74 (1.0%)
technology_robotics	Technology and Robotics	249 (0.0%)	88 (1.2%)
language_fundamentals	Language Fundamentals	102 (0.0%)	61 (0.8%)

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)

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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

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