Common Voice Scripted Speech 25.0 - French

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/25/2026

Format: MP3

Size: 28.39 GB


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Description

A collection of read speech recordings in French (Français).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

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.

Processes

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.

Metadata

Français — French (fr)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for French [Français - fr]. The dataset contains 864728 clips representing 1209.71 hours of recorded speech (1095.87 hours validated) from 21003 speakers, recorded from a text corpus of 1,692,862 sentences.

Language

French is a Romance language. It is the official language of 26 countries and is spoken across around 50 countries.

Variants

CodeVariantClipsSpeakers
fr-metroFrançais de métropole542,845 (62.8%)4,639 (22.1%)
fr-europeFrançais d'Europe26,543 (3.1%)442 (2.1%)
fr-namericaFrançais d'Amérique du Nord14,424 (1.7%)309 (1.5%)
fr-safricaFrançais d'Afrique subsaharienne et des îles africaines2,066 (0.2%)87 (0.4%)
fr-droumFrançais des départements et régions d'outre-mer1,936 (0.2%)40 (0.2%)
fr-nafricaFrançais du nord de l'Afrique1,342 (0.2%)61 (0.3%)
fr-samericaFrançais d'Amérique du Sud et des Caraïbes90 (0.0%)6 (0.0%)

Accents

CodeAccentClipsSpeakers
canadaFrançais du Canada12,869 (1.5%)275 (1.3%)
belgiumFrançais de Belgique11,381 (1.3%)226 (1.1%)
switzerlandFrançais de Suisse5,916 (0.7%)141 (0.7%)
united_statesFrançais des États-Unis1,610 (0.2%)41 (0.2%)
reunionFrançais de La Réunion1,307 (0.2%)16 (0.1%)
beninFrançais du Bénin1,073 (0.1%)7 (0.0%)
algeriaFrançais d’Algérie1,070 (0.1%)26 (0.1%)
germanyFrançais d’Allemagne552 (0.1%)26 (0.1%)
fr-metro-northFrançais du nord de la France535 (0.1%)2 (0.0%)
united_kingdomFrançais du Royaume-Uni502 (0.1%)25 (0.1%)
haitiFrançais d’Haïti498 (0.1%)7 (0.0%)
madagascarFrançais de Madagascar283 (0.0%)12 (0.1%)
fr-metro-southFrançais du sud de la France229 (0.0%)9 (0.0%)
moroccoFrançais du Maroc211 (0.0%)30 (0.1%)
fr-metro-eastFrançais de l'est de la France209 (0.0%)3 (0.0%)
cote_d_ivoireFrançais de Côte d’Ivoire201 (0.0%)18 (0.1%)
senegalFrançais du Sénégal197 (0.0%)16 (0.1%)
french_guianaFrançais de Guyane188 (0.0%)3 (0.0%)
guadeloupeFrançais de Guadeloupe175 (0.0%)13 (0.1%)
italyFrançais d’Italie171 (0.0%)9 (0.0%)
fr-metro-westFrançais de l'ouest de la France166 (0.0%)7 (0.0%)
cameroonFrançais du Cameroun163 (0.0%)16 (0.1%)
new_caledoniaFrançais de Nouvelle-Calédonie159 (0.0%)3 (0.0%)
romaniaFrançais de Roumanie150 (0.0%)6 (0.0%)
tunisiaFrançais de Tunisie121 (0.0%)16 (0.1%)
monacoFrançais de Monaco111 (0.0%)3 (0.0%)
netherlandsFrançais des Pays-Bas101 (0.0%)4 (0.0%)
martiniqueFrançais de Martinique100 (0.0%)7 (0.0%)
congo_kinshasaFrançais du Congo (Kinshasa)45 (0.0%)5 (0.0%)
maliFrançais du Mali39 (0.0%)4 (0.0%)
luxembourgFrançais du Luxembourg20 (0.0%)3 (0.0%)
st_pierre_et_miquelonFrançais de Saint-Pierre-et-Miquelon15 (0.0%)1 (0.0%)
mayotteFrançais de Mayotte12 (0.0%)1 (0.0%)
mauritiusFrançais de l’Île Maurice10 (0.0%)2 (0.0%)
-Other7,511 (0.9%)244 (1.2%)

Demographic information

The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.

Gender

Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.

CodeGenderClipsSpeakers
male_masculineMale, masculine491,443 (56.8%)3,878 (18.5%)
female_feminineFemale, feminine92,369 (10.7%)1,010 (4.8%)
transgenderTransgender5 (0.0%)1 (0.0%)
non-binaryNon-binary249 (0.0%)3 (0.0%)
do_not_wish_to_sayPrefer not to say302 (0.0%)4 (0.0%)
-Unspecified280,360 (32.4%)16,786 (79.9%)

Gender declared: 584,368 of 864,728 clips (67.6%), 4,217 of 21,003 speakers (20.1%)

Age

Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.

CodeAgeClipsSpeakers
teensTeens24,515 (2.8%)444 (2.1%)
twentiesTwenties147,928 (17.1%)1,732 (8.2%)
thirtiesThirties125,467 (14.5%)1,156 (5.5%)
fourtiesFourties122,937 (14.2%)855 (4.1%)
fiftiesFifties81,444 (9.4%)496 (2.4%)
sixtiesSixties28,974 (3.4%)326 (1.6%)
seventiesSeventies9,224 (1.1%)121 (0.6%)
eightiesEighties212 (0.0%)7 (0.0%)
ninetiesNineties5 (0.0%)1 (0.0%)
-Unspecified324,022 (37.5%)16,619 (79.1%)

Age declared: 540,706 of 864,728 clips (62.5%), 4,384 of 21,003 speakers (20.9%)

Data splits for modelling

Clip buckets

BucketClips
Validated783,357 (90.6%)
Invalidated68,142 (7.9%)
Other13,229 (1.5%)

Training splits

SplitClips
Train613,431 (78.3%)
Dev16,201 (2.1%)
Test16,201 (2.1%)

Training split coverage: 645,833 of 783,357 validated clips (82.4%)

The dataset contains 783357 validated, 68142 invalidated, and 13229 unresolved clips. The average clip duration is 5.036 seconds.

Text corpus

Validated sentences: 1,649,097

CategoryCount
Unvalidated sentences43,765
Pending sentences43,638
Rejected sentences127
Reported sentences7,562

The corpus contains 1,692,862 sentences: 1,649,097 validated and 43,765 unvalidated (43,638 pending review, 127 rejected), with 7,562 reported for review.

Writing system

The French language uses the 26 letters of the Latin alphabet with the addition of two ligatures (æ, œ) and five diacritics.

Symbol table
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

Sample

There follows a randomly selected sample of five sentences from the corpus.

  1. Le canton de Tende était composé des communes de Tende et La Brigue.

  2. Cette décision fait grand bruit.

  3. Un paludier est un travailleur qui récolte le sel des marais salants.

  4. Les jardins sont ouverts au public.

  5. Église mononef, elle ne présente aucun caractère particulier.

Sources

SourceSentences
wiki-2719,731 (43.8%)
wiki-1717,145 (43.7%)
sentence-collector103,289 (6.3%)
issue2259_deleted_export_readd_fixed62,385 (3.8%)
Other39,075 (2.4%)

Text domains

CodeDomainClipsSpeakers
generalGeneral70 (0.0%)53 (0.3%)
agriculture_foodAgriculture and Food--
automotive_transportAutomotive and Transport1 (0.0%)1 (0.0%)
financeFinance1 (0.0%)1 (0.0%)
service_retailService and Retail--
healthcareHealthcare5 (0.0%)4 (0.0%)
history_law_governmentHistory, Law and Government19 (0.0%)17 (0.1%)
media_entertainmentMedia and Entertainment17 (0.0%)13 (0.1%)
nature_environmentNature and Environment8 (0.0%)8 (0.0%)
news_current_affairsNews and Current Affairs2 (0.0%)2 (0.0%)
technology_roboticsTechnology and Robotics18 (0.0%)12 (0.1%)
language_fundamentalsLanguage Fundamentals7 (0.0%)5 (0.0%)

Fields

Clips

Each row of a tsv file represents a single audio clip, and contains the following information:

  • client_id - hashed UUID of a given user

  • path - relative path of the audio file

  • text - supposed transcription of the audio

  • up_votes - number of people who said audio matches the text

  • down_votes - number of people who said audio does not match text

  • age - age of the speaker1

  • gender - gender of the speaker1

  • accents - accents of the speaker1

  • variant - variant of the language1

  • segment - if sentence belongs to a custom dataset segment, it will be listed here

  • prompt_upvotes - number of upvotes the sentence prompt received

  • prompt_reports - number of reports the sentence prompt received

  • is_edited - whether the clip's transcription has been edited

validated_sentences.tsv

The validated_sentences.tsv file contains one row per validated sentence in the text corpus:

  • sentence_id - unique identifier for the sentence

  • sentence - the sentence text

  • variant - the variant of the language

  • sentence_domain - the domain(s) the sentence belongs to

  • source - the source the sentence was collected from

  • is_used - whether the sentence is still in circulation for recording

  • clips_count - number of clips recorded for this sentence

unvalidated_sentences.tsv

The unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:

  • sentence_id - unique identifier for the sentence

  • sentence - the sentence text

  • variant - the variant of the language

  • sentence_domain - the domain(s) the sentence belongs to

  • source - the source the sentence was collected from

  • up_votes - number of upvotes the sentence received

  • down_votes - number of downvotes the sentence received

  • status - current status of the sentence (pending or rejected)

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Licence

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.

Footnotes

  1. 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 3 4