Common Voice Scripted Speech 23.0 - Catalan

Locale: ca

Size: 77.46 GB

Task: ASR

Format: MP3

License: CC-0


català — Catalan (ca)

This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!

This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset for Catalan (ca). The dataset contains 2658094 clips representing 3403 hours of recorded speech (2883 hours validated) from 36898 speakers.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, percentage refers to the number of clips annotated with this gender.

GenderPertentage
Undefined27.0%
Male Masculine52.0%
Female Feminine20.0%

Age

Self-declared age information, percentage refers to the number of clips annotated with this age band.

Age BandPercentage
Undefined27.0%
Twenties4.0%
Thirties5.0%
Teens1.0%
Fourties12.0%
Fifties19.0%
Sixties29.0%
Seventies4.0%

Data splits for modelling

The official data splits for modelling this language are as follows. Of the validated clips, 54.59% are included in the splits.

SplitCount
Train1212809
Test16415
Dev16415

Text corpus

The text corpus contains 1307340 sentences, of which 1302505 are validated, 4835 are invalidated and 8864 are reported.

Sample

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

Després d'algunes mudes es transformen en pupa.
Va ser Director General en diferents governs de Jordi Pujol.
Va ser un altre avatar de Devi Laxmi.
El de Sanchi tenia una execució menys refinada, i estava en pitjors condicions.
Res ni ningú guanyar ni doblegarà les nostres ànsies de llibertat, va escriure.

Text domains

DomainCount
Undefined2657032
Agriculture Food44
Automotive Transport27
Finance4
Service Retail63
General618
Healthcare34
History Law Government65
Language Fundamentals32
Media Entertainment33
Nature Environment114
News Current Affairs32
Technology Robotics21

Fields

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

  • accent - accent of the speaker1

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

Community links

Contribute

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 demograpics spec. These will only be reported if the speaker opted in to provide that information. 2 3