Common Voice Scripted Speech 25.0 - Spanish

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/24/2026

Format: MP3

Size: 48.23 GB


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Description

A collection of read speech recordings in Spanish (Español).

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

Español — Spanish (es)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Spanish [Español - es]. The dataset contains 1678430 clips representing 2275.15 hours of recorded speech (593.33 hours validated) from 26896 speakers, recorded from a text corpus of 1,087,233 sentences.

Language

Accents

CodeAccentClipsSpeakers
mexicanoMéxico879,470 (52.4%)1,379 (5.1%)
surpeninsularEspaña: Sur peninsular (Andalucia, Extremadura, Murcia)177,373 (10.6%)260 (1.0%)
nortepeninsularEspaña: Norte peninsular (Asturias, Castilla y León, Cantabria, País Vasco, Navarra, Aragón, La Rioja, Guadalajara, Cuenca)66,633 (4.0%)634 (2.4%)
andinoAndino-Pacífico: Colombia, Perú, Ecuador, oeste de Bolivia y Venezuela andina38,723 (2.3%)946 (3.5%)
centrosurpeninsularEspaña: Centro-Sur peninsular (Madrid, Toledo, Castilla-La Mancha)30,573 (1.8%)509 (1.9%)
rioplatenseRioplatense: Argentina, Uruguay, este de Bolivia, Paraguay23,500 (1.4%)573 (2.1%)
caribeCaribe: Cuba, Venezuela, Puerto Rico, República Dominicana, Panamá, Colombia caribeña, México caribeño, Costa del golfo de México21,830 (1.3%)581 (2.2%)
canarioEspaña: Islas Canarias16,193 (1.0%)240 (0.9%)
americacentralAmérica central12,689 (0.8%)376 (1.4%)
chilenoChileno: Chile, Cuyo12,569 (0.7%)295 (1.1%)
filipinasEspañol de Filipinas606 (0.0%)3 (0.0%)
-Other6,569 (0.4%)224 (0.8%)

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, masculine931,457 (55.5%)4,510 (16.8%)
female_feminineFemale, feminine524,679 (31.3%)1,818 (6.8%)
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say15 (0.0%)3 (0.0%)
-Unspecified222,279 (13.2%)21,276 (79.1%)

Gender declared: 1,456,151 of 1,678,430 clips (86.8%), 5,620 of 26,896 speakers (20.9%)

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
teensTeens131,769 (7.9%)736 (2.7%)
twentiesTwenties883,187 (52.6%)2,924 (10.9%)
thirtiesThirties155,752 (9.3%)1,270 (4.7%)
fourtiesFourties46,508 (2.8%)951 (3.5%)
fiftiesFifties70,809 (4.2%)532 (2.0%)
sixtiesSixties174,889 (10.4%)172 (0.6%)
seventiesSeventies791 (0.0%)28 (0.1%)
eightiesEighties246 (0.0%)4 (0.0%)
ninetiesNineties128 (0.0%)5 (0.0%)
-Unspecified214,351 (12.8%)21,040 (78.2%)

Age declared: 1,464,079 of 1,678,430 clips (87.2%), 5,856 of 26,896 speakers (21.8%)

Data splits for modelling

Clip buckets

BucketClips
Validated437,718 (26.1%)
Invalidated95,120 (5.7%)
Other1,145,592 (68.3%)

Training splits

SplitClips
Train358,330 (81.9%)
Dev15,902 (3.6%)
Test15,902 (3.6%)

Training split coverage: 390,134 of 437,718 validated clips (89.1%)

The dataset contains 437718 validated, 95120 invalidated, and 1145592 unresolved clips. The average clip duration is 4.88 seconds.

Text corpus

Validated sentences: 1,082,350

CategoryCount
Unvalidated sentences4,883
Pending sentences3,901
Rejected sentences982
Reported sentences2,644

The corpus contains 1,087,233 sentences: 1,082,350 validated and 4,883 unvalidated (3,901 pending review, 982 rejected), with 2,644 reported for review.

Sample

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

  1. Es considerado santo mártir por la Iglesia Ortodoxa de Georgia.

  2. "Los elementos que componen el emblema estatal no están atados a ningún simbolismo ""oficial""."

  3. Así que ahora mismo digo, no, no creo que ese fuera el caso.

  4. Y de altísimo octanaje artístico.

  5. La cola no es de tipo prensil.

Sources

SourceSentences
wiki1,062,101 (98.4%)
sentence-collector14,245 (1.3%)
Other3,055 (0.3%)

Text domains

CodeDomainClipsSpeakers
generalGeneral46 (0.0%)27 (0.1%)
agriculture_foodAgriculture and Food1 (0.0%)1 (0.0%)
automotive_transportAutomotive and Transport4 (0.0%)3 (0.0%)
financeFinance6 (0.0%)4 (0.0%)
service_retailService and Retail3 (0.0%)3 (0.0%)
healthcareHealthcare4 (0.0%)2 (0.0%)
history_law_governmentHistory, Law and Government37 (0.0%)24 (0.1%)
media_entertainmentMedia and Entertainment8 (0.0%)5 (0.0%)
nature_environmentNature and Environment12 (0.0%)10 (0.0%)
news_current_affairsNews and Current Affairs19 (0.0%)13 (0.0%)
technology_roboticsTechnology and Robotics22 (0.0%)11 (0.0%)
language_fundamentalsLanguage Fundamentals8 (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