Common Voice Scripted Speech 25.0 - Catalan

català — Catalan (ca)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Catalan [català - ca]. The dataset contains 2696503 clips representing 3890.81 hours of recorded speech (3359.79 hours validated) from 36911 speakers, recorded from a text corpus of 1,309,568 sentences.

Language

Catalan is a Romance language spoken by about 9 milion people mainly on the Mediterranean coast of the Iberian Peninsula.

It is an official language, along with Spanish or Castilian, in Catalonia, the Balearic Islands and the Valencian Community (where it is also called Valencian), while it is the only official language of the Principality of Andorra. It is also spoken, and has some administrative recognition, without reaching official status, in the eastern part of the autonomous community of Aragon, in the French department Pyrénées-Orientales (Eastern Pyrenees) and in the city of Alghero, on the island of Sardinia (Italy).

The language evolved from Vulgar Latin in the Middle Ages.

Variants

The main variants of Catalan are:

• Central [ca-central]: It is the variant with the most speakers, as it encompasses the metropolitan area of Barcelona, extending to the region of Girona and the eastern half of Tarragona

• Balearic [ca-balear]: The variant used in the Balearic Islands

• Nord-Occidental [ca-nwestern]: Spoken in Andorra, Lleida and the western half of Tarragona in Catalonia, and the eastern part of Aragon

• Septentrional [ca-northern]: Corresponds to the area of Roussillon and the northern part of Girona

• Valencian: Spoken in the Valencian comunity, where it's also known as "Valencian"

  • Valencià meridional [ca-valencia-southern]

  • Alacantí [ca-valencia-alacant]

  • Valencià septentrional [ca-valencia-northern]

  • Tortosí [ca-valencia-tortosi]

  • Valencià central [ca-valencia-central]

• Alguerese [ca-algueres]: Spoken in the city of Alghero, in Sardinia

Accents

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.

Gender declared: 1,964,562 of 2,696,503 clips (72.9%), 3,723 of 36,911 speakers (10.1%)

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.

Age declared: 1,980,125 of 2,696,503 clips (73.4%), 3,795 of 36,911 speakers (10.3%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 1,251,535 of 2,328,479 validated clips (53.7%)

The dataset contains 2328479 validated, 143118 invalidated, and 224906 unresolved clips. The average clip duration is 5.194 seconds.

Text corpus

Validated sentences: 1,306,364

The corpus contains 1,309,568 sentences: 1,306,364 validated and 3,204 unvalidated (68 pending review, 3,136 rejected), with 9,924 reported for review.

Writing system

Catalan is written using the Latin alphabet (abcdefghijklmnopqrstuvwxyz), with the special characters ç and l·l. In addition, vowels can be accented (à, è, é, í, ò, ó, ú, ü, ï). The characters - (hyphen) and ' (apostrophe) are also part of Catalan orthography.

Symbol table

a b c ç d e f g h i j k l m n o p q r s t u v w x y z à è é í ò ó ú ï ü

Sample

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

1. "Els senyals de ""disparador analògic"" envien un pols per esdeveniment musical."

2. Feia mesos que era el Cacavall.

3. També n'hi ha de multifuncionals.

4. També hi ha una excel·lent mostra d'era enrajolada, davant mateix de la façana principal.

5. Està casada i és mare d'un noi i una noia.

Sources

Text domains

Recommended post-processing

It is recommended to normalize instances of the geminate L, which can take the equivalent forms of l·l or ŀl.

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)

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Speak

• Write

• Listen

• Review

Acknowledgements

Datasheet authors

• Carme Armentano

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