Loading datasets...
Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 42.30 MB
Share
A collection of spontaneous responses to questions in French (Français).
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.
fr)This datasheet is for sps-corpus-4.0-2026-06-12 of the Mozilla Common Voice Spontaneous Speech dataset for French [Français - fr]. The dataset contains 667 clips representing 2.14 hours of recorded speech (0.62 hours validated) from 49 speakers.
French is a Romance language. It is the official language of 26 countries and is spoken across around 50 countries.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 166 | 24.9% |
| Transcribed & Pending | 114 | 17.1% |
| Not transcribed | 387 | 58.0% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 667 | 100.0% |
Training split coverage: 0 of 166 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 166 | 59.3% |
| Pending | 114 | 40.7% |
| Edited | 54 | 19.3% |
The French language uses the 26 letters of the Latin alphabet with the addition of two ligatures (æ, œ) and five diacritics.
a à â æ b c ç d e é è ê ë f g h i î ï j k l m n ô œ p q r s t u ù û ü v w x y ÿ z
There follows a randomly selected sample of questions used in the corpus.
Que pensez-vous des longues promenades ? Pourquoi ?
Quelles sont tes lectures du moment ?
Expliquez un projet créatif que vous avez réalisé récemment. Quels matériaux avez-vous utilisés et quel était le processus de création ?
Quels sports trouvez-vous amusants à regarder ?
Quelle est la plus grande bibliothèque de France?
There follows a randomly selected sample of transcribed responses from the corpus.
Au moins une : Proxima du Centaure.
Alors, souvent il y a un grand soleil et quelques nuages mais c'est, euh, il fait assez chaud, une vingtaine de degrés, j'dirai
Dix-huit heures, tout rond.
Alors sur la lecture, euh, j'aime bien les deux, je les trouve complémentaires. La liseuse présente l'intérêt qu'on peut très rapidement faire une recherche avec une chaîne de caractères. La liseuse présente aussi l'avantage de pouv, quand on se déplace de pouvoir emporter des centaines de livres dans une seule liseuse... euh... le livre physique est... c'est le confort, c'est plus agréable d'aller se poser à la terrasse d'un café avec un... un livre physique.
Un sport de défense.
The transcripts contain two different apostrophes, ’ and ', which should be normalized.
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