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Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 497.82 MB
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A collection of spontaneous responses to questions in English (English).
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.
en)This datasheet is for sps-corpus-4.0-2026-06-12 of the Mozilla Common Voice Spontaneous Speech dataset for English [English - en]. The dataset contains 5679 clips representing 17.58 hours of recorded speech (7.81 hours validated) from 609 speakers.
English is a West Germanic language with origins in England. There are an estimated 1.5 billion English speakers, making it the most widely spoken language in the world. English is commonly learned as a second language in many countries.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 2,305 | 40.6% |
| Transcribed & Pending | 120 | 2.1% |
| Not transcribed | 3,254 | 57.3% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,519 | 26.7% |
| Dev | 409 | 7.2% |
| Test | 377 | 6.6% |
| Unassigned | 3,374 | 59.4% |
Training split coverage: 2,305 of 2,305 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 2,305 | 95.1% |
| Pending | 120 | 4.9% |
| Edited | 294 | 12.1% |
The English writing system is based off of the latin alphabet.
a b c d e f g h i j k l m n o p q r s t u v w x y z
There follows a randomly selected sample of questions used in the corpus.
If you could learn any skill, what would you want to learn?
What is the biggest insect where you come from?
Quels sont les mots de la même famille que environnement en éwondo ?
What is your favourite song?
How do you choose your friends?
There follows a randomly selected sample of transcribed responses from the corpus.
How are adventure sports instructors trained? I don't know, really, sorry. But, the the sports- it it is not something that is, uh, so interesting for me. Usually, I I just prefer to do what I want, and sport is not one of those things.
Uh, right now it's mostly white cuz there's a bunch of clouds. But most of the time it's a pretty crispy blue. It's, uh, generally pretty sunny around here, so this is a bit rare.
What is your favorite food?
日本語
Yeah, my climbing experiences are pretty remedial. I've done small bluffs more than mountains. I've climbed monkey bars when I was a kid.
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 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