Common Voice Scripted Speech 23.0 - Japanese

Locale: ja

Size: 11.80 GB

Task: ASR

Format: MP3

License: CC-0


日本語 — Japanese (ja)

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 Japanese (ja). The dataset contains 473645 clips representing 610 hours of recorded speech (223 hours validated) from 5546 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
Undefined28.0%
Male Masculine33.0%
Female Feminine39.0%
Do Not Wish To Say1.0%

Age

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

Age BandPercentage
Undefined15.0%
Twenties55.0%
Thirties8.0%
Teens8.0%
Fourties9.0%
Fifties4.0%
Sixties1.0%

Data splits for modelling

The official data splits for modelling this language are as follows. Of the validated clips, 17.66% are included in the splits.

SplitCount
Train15437
Test8007
Dev8007

Text corpus

The text corpus contains 46076 sentences, of which 37288 are validated, 8788 are invalidated and 783 are reported.

Sample

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

彼女は、男性と女性の二重の道徳基準というピューリタニズムから解放されたのか?
健康がいかに大事かは、失いかけたときに初めて身に沁みるのかもしれません。
めだか
我々が選挙に行かないのは、どの政治家が総理大臣になっても同じだと思っているからだ。しかし、それは間違っている。我々が諦めてしまって、行動を放棄しているだけに過ぎない。悪行を野放しにしていれば、なにも変わらない。国民が政治を正すことが政治家の意識を変えることになるのだ。
どうしてかくも人は残虐になれるのでしょうか。

Text domains

DomainCount
Undefined437276
Agriculture Food5741
Automotive Transport1225
Finance1402
Service Retail385
General16609
Healthcare1352
History Law Government3306
Language Fundamentals2721
Media Entertainment4066
Nature Environment1750
News Current Affairs724
Technology Robotics571

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