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Task: ASR
Release Date: 6/17/2026
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-4.0-2026-06-12 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.
你認為人工智慧是什麼？
你最喜歡的本地廣播節目是什麼？
描述你曾經種植或收成的任何植物
你對未來最大的希望是什麼？
你對年幼兒童的學校考試有什麼看法？
There follows a randomly selected sample of transcribed responses from the corpus.
进口的跟美美，有装修什么，有的有冷气。
。。。我希望自己身体可以自己吃什么都会对[um]自己会努力去做运动。[um]吃东西简简单单就好了。好了。
[um]第一次去出海，还是跟跟我们去抓鱼。出海抓鱼，头一次出就是遇到什么，遇到风烟三角高，怕到还没呀，我们兴华人叫嘞怕都缩去，那我第一次出海，有真是怕，怕到手都抱紧放都【不敢】放。这是我第一次出海经验。是讲所以讲出海抓鱼的人是真正困苦，危险，赚也没赚多。啊，每天都闲闲就遇到风烟。
人工智慧就是把全部资料收在电脑里 then 你全部都能够你一次去几下就全部跑出来。不像我们以前
啊，在家那个若讲省钱来讲啊，呃，东西是讲别随便出去花咯。晚头里，你们嘞有的看看戏啊，吃吃一点东西啦，有的去亲人那里玩玩耍咯，这样是省钱咯。
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
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
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