Release Date: 7/21/2026
Format: MP3, TSV
Size: 191.22 MB
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This dataset is a subset of the larger Chinese Mozilla Common Voice Scripted Speech 26.0 dataset. It contains only validated audio (at least one upvote and 0 downvotes) from users who's self-identified accent corresponds to Wu Chinese.
Restrictions/Special Constraints
NA
Forbidden Usage
You agree not to attempt to determine the identity of speakers in this dataset.
Intended Use
Speech technology; Linguistics research
This dataset was created by filtering the train, dev, and test files from the v26 Chinese Mozilla Common Voice Scripted Speech dataset with the following conditions:
the value of the up_votes field is a number greater than 0.
the value of the down_votes field is 0.
the value of the accents column is one of the following:
{普通话等级水平三甲,
较为标准的普通话,母语,
出生地:44 广东省,
出生地:31 上海市,
出生地:32 江苏省,
出生地:33 浙江省,
较为标准,
普通话}
The resulting dataset includes 4,173 clips in the training set, 717 clips in the dev set, and 212 clips in the test set, totaling approximately 7 hours, 12 minutes of audio.
The dataset follows the Mozilla Common Voice format: The clips directory contains all of the .mp3 files, and there is a separate tsv file for each data partition, containing the following fields:
client_id
path
sentence_id
sentence
sentence_domain
up_votes
down_votes
age
gender
accents
variant
localesegment
| Category | Train (n) | Train (%) | Dev (n) | Dev (%) | Test (n) | Test (%) |
|---|---|---|---|---|---|---|
| Not Specified | 25 | 1% | 48 | 7% | 4 | 2% |
| Male Masculine | 2,887 | 69% | 532 | 74% | 159 | 75% |
| Female Feminine | 1,261 | 30% | 137 | 19% | 42 | 20% |
| Do Not Wish To Say | 0 | 0% | 0 | 0% | 7 | 3% |
| Total | 4,173 | 100% | 717 | 100% | 212 | 100% |
| Category | Train (n) | Train (%) | Dev (n) | Dev (%) | Test (n) | Test (%) |
|---|---|---|---|---|---|---|
| Not Specified | 25 | 1% | 28 | 4% | 0 | 0% |
| Teens | 513 | 12% | 184 | 26% | 11 | 5% |
| Twenties | 1,366 | 33% | 391 | 55% | 159 | 75% |
| Thirties | 1,723 | 41% | 40 | 6% | 42 | 20% |
| Fourties | 546 | 13% | 66 | 9% | 0 | 0% |
| Nineties | 0 | 0% | 8 | 1% | 0 | 0% |
| Total | 4,173 | 100% | 717 | 100% | 212 | 100% |