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Release Date: 9/17/2026
Format: MP3
Size: 21.40 GB
A collection of read speech recordings in Chinese (China) (汉语（中国大陆）).
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.
zh-CN)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Chinese (China) [汉语（中国大陆） - zh-CN]. The dataset contains 852410 clips representing 1074.96 hours of recorded speech (240.11 hours validated) from 7601 speakers, recorded from a text corpus of 60,191 sentences.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| 110000 | 出生地：11 北京市 | 7,204 (0.8%) | 130 (1.7%) |
| 360000 | 出生地：36 江西省 | 5,764 (0.7%) | 43 (0.6%) |
| 440000 | 出生地：44 广东省 | 4,634 (0.5%) | 97 (1.3%) |
| 230000 | 出生地：23 黑龙江省 | 3,986 (0.5%) | 46 (0.6%) |
| 320000 | 出生地：32 江苏省 | 3,923 (0.5%) | 97 (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 | 3,621 (0.4%) | 60 (0.8%) |
| 330000 | 出生地：33 浙江省 | 2,987 (0.4%) | 88 (1.2%) |
| 120000 | 出生地：12 天津市 | 2,914 (0.3%) | 22 (0.3%) |
| 210000 | 出生地：21 辽宁省 | 2,904 (0.3%) | 42 (0.6%) |
| 510000 | 出生地：51 四川省 | 2,713 (0.3%) | 76 (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 | 1,950 (0.2%) | 60 (0.8%) |
| 350000 | 出生地：35 福建省 | 1,855 (0.2%) | 38 (0.5%) |
| 420000 | 出生地：42 湖北省 | 1,817 (0.2%) | 55 (0.7%) |
| 450000 | 出生地：45 广西壮族自治区 | 1,685 (0.2%) | 24 (0.3%) |
| 140000 | 出生地：14 山西省 | 1,498 (0.2%) | 32 (0.4%) |
| 340000 | 出生地：34 安徽省 | 1,411 (0.2%) | 42 (0.6%) |
| 500000 | 出生地：50 重庆市 | 1,409 (0.2%) | 22 (0.3%) |
| 430000 | 出生地：43 湖南省 | 1,058 (0.1%) | 52 (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 | 187 (0.0%) | 17 (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 | 3,918 (0.5%) | 82 (1.1%) |
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 | 48,547 (5.7%) | 975 (12.8%) |
| female_feminine | Female, feminine | 12,350 (1.4%) | 260 (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 | 790,739 (92.8%) | 6,484 (85.3%) |
Gender declared: 61,671 of 852,410 clips (7.2%), 1,117 of 7,601 speakers (14.7%)
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 | 11,818 (1.4%) | 232 (3.1%) |
| twenties | Twenties | 41,824 (4.9%) | 883 (11.6%) |
| thirties | Thirties | 11,782 (1.4%) | 198 (2.6%) |
| fourties | Fourties | 2,197 (0.3%) | 60 (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 | 784,583 (92.0%) | 6,360 (83.7%) |
Age declared: 67,827 of 852,410 clips (8.0%), 1,241 of 7,601 speakers (16.3%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 190,406 (22.3%) |
| Invalidated | 59,382 (7.0%) |
| Other | 602,622 (70.7%) |
Training splits
| Split | Clips |
|---|---|
| Train | 29,814 (15.7%) |
| Dev | 10,679 (5.6%) |
| Test | 10,679 (5.6%) |
Training split coverage: 51,172 of 190,406 validated clips (26.9%)
The dataset contains 190406 validated, 59382 invalidated, and 602622 unresolved clips. The average clip duration is 4.54 seconds.
Validated sentences: 59,170
| Category | Count |
|---|---|
| Unvalidated sentences | 1,021 |
| Pending sentences | 132 |
| Rejected sentences | 889 |
| Reported sentences | 1,214 |
The corpus contains 60,191 sentences: 59,170 validated and 1,021 unvalidated (132 pending review, 889 rejected), with 1,214 reported for review.
There follows a randomly selected sample of five sentences from the corpus.
| Source | Sentences |
|---|---|
| wiki | 54,638 (92.3%) |
| cn | 2,881 (4.9%) |
| Other | 1,650 (2.8%) |
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 978 (0.1%) | 184 (2.4%) |
| agriculture_food | Agriculture and Food | 60 (0.0%) | 41 (0.5%) |
| automotive_transport | Automotive and Transport | 81 (0.0%) | 60 (0.8%) |
| finance | Finance | 121 (0.0%) | 62 (0.8%) |
| service_retail | Service and Retail | 61 (0.0%) | 47 (0.6%) |
| healthcare | Healthcare | 155 (0.0%) | 80 (1.1%) |
| history_law_government | History, Law and Government | 453 (0.1%) | 135 (1.8%) |
| media_entertainment | Media and Entertainment | 1,825 (0.2%) | 204 (2.7%) |
| nature_environment | Nature and Environment | 77 (0.0%) | 54 (0.7%) |
| news_current_affairs | News and Current Affairs | 222 (0.0%) | 91 (1.2%) |
| technology_robotics | Technology and Robotics | 267 (0.0%) | 100 (1.3%) |
| language_fundamentals | Language Fundamentals | 120 (0.0%) | 69 (0.9%) |
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 filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_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 language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe 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 sentenceunvalidated_sentences.tsvThe 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 (pending or rejected)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