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Release Date: 9/17/2026
Format: MP3
Size: 519.05 MB
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for English [English - en]. The dataset contains 5898 clips representing 18.6 hours of recorded speech (8.39 hours validated) from 642 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 | 2,474 | 41.9% |
| Transcribed & Pending | 97 | 1.6% |
| Not transcribed | 3,327 | 56.4% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,569 | 26.6% |
| Dev | 548 | 9.3% |
| Test | 357 | 6.1% |
| Unassigned | 3,424 | 58.1% |
Training split coverage: 2,474 of 2,474 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 2,474 | 96.2% |
| Pending | 97 | 3.8% |
| Edited | 342 | 13.3% |
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.
Which holidays do you celebrate in the spring?
What is your favorite tongue twister?
Do you wear jewelry?
Do you know any names for the stars and constellations?
What’s the last thing you ate?
There follows a randomly selected sample of transcribed responses from the corpus.
Uh, it's out of that because I'm old, you know. I I am not going to tell about my life when I was young. I'm old. No vacation, no trip!
Well, you know what? Actually, uh, it seems that I don't have any moments of great joy. Probably because I have little joys when I encounter articles or books or a piece of literature that really speaks to my feelings, speaks to what I'm thinking at the moment. I would consider that joyful. It's it it's weird, right? It's not like what people would usually think of when they, uh, imagine things that brings them great joy, like, well maybe graduation, maybe, uh, being accepted in your dream job or whatever like that. That, to me, those do not bring joy.
Hi!
My earliest memory was when I was three I was, uh, playing with my dog and and I saw a stray cat and I just spend time with them. Happy days.
Do animals suffer because we like to eat meat? Firstly, we don't eat meat only because we like it. I mean, there is many things that are useful for our healths. Even if I don't eat... even if I don't eat it, I still think so. And, additionally, I think that this is a big discussion, because I'm not sure that they suffer, really in the sense of the... how people suffer, usually.
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
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