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Release Date: 6/17/2026
Format: MP3
Size: 28.17 MB
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A collection of spontaneous responses to questions in Javanese (basa jawa).
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.
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.
jv)This datasheet is for sps-corpus-4.0-2026-06-12 of the Mozilla Common Voice Spontaneous Speech dataset for Javanese [basa jawa - jv]. The dataset contains 232 clips representing 1.39 hours of recorded speech (0 hours validated) from 3 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 0 | 0.0% |
| Transcribed & Pending | 221 | 95.3% |
| Not transcribed | 11 | 4.7% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 232 | 100.0% |
Training split coverage: 0 of 0 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 0 | 0.0% |
| Pending | 221 | 100.0% |
| Edited | 0 | 0.0% |
There follows a randomly selected sample of questions used in the corpus.
Sampeyan nganggo sandhangan apa?
Panggonan sing sinyal utawa layanan seluler sampeyan ilang, iku jinise panggonan apa?
Apa sampeyan kerep olahraga?
Kepiye sampeyan rumangsa babagan mlaku-mlaku adhoh? Kenapa?
Apa komunitas sampeyan ngelakoni tari utawa musik tradisional?
There follows a randomly selected sample of transcribed responses from the corpus.
Aku biasane ngrayakake preian mangsa panas karo dolan menyang pantai, piknik, lan ngumpul bareng kanca-kanca. Sering ulam-ulan, njupuk foto, lan mangan es krim sambil ngadem. Kadhang mudik menyang omah mbah kanggo mangan bebarengan lan ngobrol santai. Yen ana wektu, aku seneng numpak sepedha ing pesisir. sing penting santai lan ngrasakake hawa seger.
Aku rumangsa tentrem lan kegirangan nalika nyelam. Sebab iso nyekseni jagad ngisor laut sing sepi, werna-werna karang lan iwak sing nggumunake, kaya lelungan menyang donya liya. Nanging kadang uga was-was yen aruse kenceng utawa napas kesedot.
Aku paling seneng preian menyang pantai, luwih-luwih nek sing isih sepi lan resik. Rasane ayem, isa krungu swara ombak karo angin segara sing seger. Biasane aku mung lungguh santai, ngombe degan, karo ndelok sunset. Ora kudu adoh-adoh, sing penting atine tentrem. Menurutku, lelungan kuwi dudu mung panggonane, nanging karo sapa lan kepiye carane nikmati waktune.
Miturut aku layanan kesehatan lan banyu resik sing paling penting kanggo komunitas. Yen ana puskesmas apik, obat, lan banyu aman, warga luwih sehat, bocah bisa sekolah, ekonomi maju. Pendidikan dhasar lan sanitasi uga penting. Sampeyan bisa prioritasake fasilitas kesehatan, pasokan banyu, lan sekolah sing ndhukung kabersihan.
Aku biasane goleki nyaman lan ukurane pas, bahané adem lan awet. Uga ndeleng gayane cocok karo acara. menawi resmi tak pilih sing elegan, menawi santai tak pilih sing casual. Warna gampang dipadu, rega masuk akal, lan gampang dirawat. Sing penting nggawe percaya diri.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 5 minutes
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
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.
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