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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 459.05 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-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for English [English - en]. The dataset contains 6382 clips representing 18.38 hours of recorded speech (7.09 hours validated) from 596 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 | 1,897 | 29.7% |
| Transcribed & Pending | 84 | 1.3% |
| Not transcribed | 4,401 | 69.0% |
| Bucket | Clips | % |
|---|---|---|
| Train | 973 | 15.2% |
| Dev | 351 | 5.5% |
| Test | 573 | 9.0% |
| Unassigned | 4,485 | 70.3% |
Training split coverage: 1,897 of 1,897 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,897 | 95.8% |
| Pending | 84 | 4.2% |
| Edited | 203 | 10.3% |
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.
How you treat your neighbours?
How do you think a person can keep from becoming a workaholic?
What language cues accompany hopeful statements (tone, gestures, interjections)?
What are the qualities of a good human being?
Describe a visit to an ocean, lake or river.
There follows a randomly selected sample of transcribed responses from the corpus.
[silence]
I eat cake
I adore cake. It's probably my greatest weakness in food. umm favorite cake would be fruit cake and if you want to add icing and marzipan to that I'd welcome that. That thats going to be my absolutely top fruit cake is gonna be celebration cake with marzipan and icing. Uh the next choice would be flapjack. I'll tell you that again flapjack. There's something really nice about flapjack. its honest. It's oats, its very good for you, um although probably the honey with which its held together isn't quite so good for you. but yes those are the top two. Umm I also like custard tarts. Don't know why, just always have liked custard tarts. there we go.
Where do you buy clothes?
What was your first date like?
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 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