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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 225.75 MB
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A collection of spontaneous responses to questions in Heng Hua (cpx).
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.
cpx)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Heng Hua [cpx - cpx]. The dataset contains 2007 clips representing 10.66 hours of recorded speech (0.03 hours validated) from 29 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 13 | 0.6% |
| Transcribed & Pending | 1,991 | 99.2% |
| Not transcribed | 3 | 0.1% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 2,007 | 100.0% |
Training split coverage: 0 of 13 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 13 | 0.6% |
| Pending | 1,991 | 99.4% |
| Edited | 3 | 0.1% |
There follows a randomly selected sample of questions used in the corpus.
你認為哪些運動觀賞起來很有趣？
你認為哪些科技進步能改善你的生活品質？
你對游泳有什麼看法？為什麼？
當你還是個孩子時，長大後想成為什麼？
有什麼受歡迎的本地兒童書籍或故事？
There follows a randomly selected sample of transcribed responses from the corpus.
我的电话啊，你若说手电话我手电话其实就[um]都没啥问题啦。是说有半时去较山芭的位呀[um]可能那个[um]它的那个[um]可能那个它的那个connectivity较不好咯。啊，这一半时就会啦。but你若说在pasar什pasar里这样啊就没问题。
[noise]
[um]咱家嘞也没有很呀[um]讲究咯。是讲你用钱大的不可随便花咯。小的钱花一点一点你suka怎么花就用咯。
啊，我觉得很有欢喜那个就是八月十五，做中秋，因为中秋能够孩儿每样什么能够拿灯笼，啊晚里拿灯笼走啊什么，看了很欢喜，了看了也很美。
这个新的创造的电脑什么，有好有坏啦，有好是讲每样东西会较利便，较快啦，较不好东西是讲这个这次孩儿哈，玩耍这电脑，玩耍手机什么，啊 玩耍过头去。
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 5 minutes
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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