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Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 191.79 MB
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A collection of spontaneous responses to questions in Eastern Min (cdo).
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.
cdo)This datasheet is for sps-corpus-4.0-2026-06-12 of the Mozilla Common Voice Spontaneous Speech dataset for Eastern Min [cdo - cdo]. The dataset contains 1034 clips representing 9.76 hours of recorded speech (0.91 hours validated) from 32 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 107 | 10.3% |
| Transcribed & Pending | 927 | 89.7% |
| Not transcribed | 0 | 0.0% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 1,034 | 100.0% |
Training split coverage: 0 of 107 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 107 | 10.3% |
| Pending | 927 | 89.7% |
| Edited | 73 | 7.1% |
There follows a randomly selected sample of questions used in the corpus.
小額貸款如何幫助女性創業？
你對手機有哪些顧慮？
你認為哪些類型的公共服務對社區最重要？
你認為哪些運動觀賞起來很有趣？
描述在你的社會中，人們如何支付物品，例如以物易物、現金、卡片或手機支付？
There follows a randomly selected sample of transcribed responses from the corpus.
很难用福州话讲叻双子座双胞胎狮子座狮子水瓶座水水瓶啊
我对我的孩子叻有什么希望呢他自己有什么呃有在他们能够自己他们自己能够发挥他们自己的呃…真正的本领也希望他们呢最主要的第一样要跟上帝排第一没上帝就没有别的东西因为真真的这个是最希望的跟上帝排第一这是希望的第二个希望他们呃身体会健康好好的过生活
在我的国家有历史里面没有很多很多的故事会让我们记得的很常我在历史里面读到别个国家的历史和故事他教我们怎么样在社会里面呃做一个好的人
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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