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Task: ASR
Release Date: 3/20/2026
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-3.0-2026-03-09 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.
你最常看到哪些類型的植物？
你最常用科技做什麼？
你對氣候變遷有什麼看法？
在你的社區中，兒童會玩哪些傳統遊戲或活動？
你是如何學習你會說的語言的？
There follows a randomly selected sample of transcribed responses from the corpus.
科技发达会好，对教育，啊，会帮助进步啦，很多物会方便。
今天天很晴日头很大风风吹在等一下会一下因为突然间天黑掉我看现在是两点可能三点多天天都是这样时间下雨
*因为我也是suka 唱歌li *
我们国家的戏院都不错都很好他的什么荧幕都是很大设备都是很好
我最喜欢的在我们这本地的伊班是新年他们有跳舞有唱歌啊他们很快乐的过他们的他啊他我们说福州话是说他们的啊土著ho他们的土著的做年
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