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Release Date: 9/17/2026
Format: MP3
Size: 277.95 MB
A collection of spontaneous responses to questions in Sabah Malay (Sabah Malay).
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.
msi)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Sabah Malay [Sabah Malay - msi]. The dataset contains 2277 clips representing 13.54 hours of recorded speech (0.01 hours validated) from 33 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 4 | 0.2% |
| Transcribed & Pending | 2,273 | 99.8% |
| Not transcribed | 0 | 0.0% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 2,277 | 100.0% |
Training split coverage: 0 of 4 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 4 | 0.2% |
| Pending | 2,273 | 99.8% |
| Edited | 3 | 0.1% |
There follows a randomly selected sample of questions used in the corpus.
Adakah sekolah di negara kamu menyokong pelbagai bahasa?
Jinis tempat telefon bimbit kamu mempunyai penerimaan atau perkhidmatan yang tidak baik kah
Apa pakaian yang kamu suka pakai?
Macam mana masyarakat boleh membantu orang yang memerlukan?
Apa pendapat kamu tentang faedah dan risiko menggunakan teknologi?
There follows a randomly selected sample of transcribed responses from the corpus.
Macam mana masyarakat kami membantu orang yang memerlukan adalah kalau orang-orang itu memerlukan dari segi kewangan mungkin kami ada tabung tabung komuniti tabung komuniti kumpul lah [Um] untuk bagi sumbangan orang tu dan kalau dia memerlukan apa-apa yang diperlukan [Um] kalau tidak mencukupi kami akan minta kepada YB.
*Teknologi ini diharapkan [Um] untuk digunakan ini [Um] untuk memanfaatkan [Um] diri kitalah kepada perkara-perkara yang baguslah [Um], kepada perkara-perkara yang boleh membantu kitalah. Kalau yang tidak bagus itu tida guna jugalah. *
Ada tempat suci yang istimewa untuk saya dan keluarga adalah Mekah-Mekah dan Madinah.
Alat muzik yang [Um] saya main baduk lah tapi tu bemusim bila musim puasa baru dia dipukul tu baduk ya kalau yang khusus itu tiada lah.
Kalau [Um] sekolah di tempat saya itu banding dulu jaman- jaman-jaman saya tu [Um] saya bulih latak- bulih katakan sambilan puluh poin sambilan [Um] peratus lah bagus [Um] banding dulu lah. [Um] Tapi kalau [Um] tida bagus, [unclear] dikasi bagus lagi lah. Tapi [Um] mimang bagus lah sudah di tampat saya banding dulu.
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 was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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