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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 213.37 MB
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A collection of spontaneous responses to questions in Sa’ban (snv).
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.
snv)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Sa’ban [snv - snv]. The dataset contains 2036 clips representing 10.47 hours of recorded speech (0.02 hours validated) from 30 speakers.
Saʼban is an Austronesian language in the Apo Duat subgroup. It is spoken by the Saʼban people and is indigenous to Sarawak, Malaysia and North Kalimantan, Indonesia.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 6 | 0.3% |
| Transcribed & Pending | 1,101 | 54.1% |
| Not transcribed | 929 | 45.6% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 2,036 | 100.0% |
Training split coverage: 0 of 6 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 6 | 0.5% |
| Pending | 1,101 | 99.5% |
| Edited | 69 | 6.2% |
The Saʼban writing system is based on the Latin alphabet.
There follows a randomly selected sample of questions used in the corpus.
Non la’ot nok wei ceh la’an ngan endeh?
Non pelabeh ceh lem gonah’ telpon bimbit?
Kedutpah hnau ceh lem pilan nok adiu an aro ko’dut si’ nyen? Endeh?
Kedut pah ceh kap padei’ wei’ ukum adat lem negala ceh?
Um minot ceek mai pei’
There follows a randomly selected sample of transcribed responses from the corpus.
*Keja ma sekola nok encet eu'-eu' on aro' seu' ek keja aro' aa akonting, minam-minam, hnong encet pi-pi arai lah' minam-minam yah li eu'-eu' nah formula keja noknah. *
nai eek lak menot on wang abiu nok aro' eek pi nlei, aa lem dei siu nai, memang nan abiu al, nan abiu rak', aa nan yah awit, nonah dut.. abin non nah jai aa yah aa protein la.. aa nan aa aro' arai sehat
Ek ee nok la'an ek pelu belajal, pi ek eee lep keja, keja ek nai ya nah belajal lem ayo aa atol lun Tuhan, jadi pelu ek lah aa belajal Alkitab, ngan ee ya wei' jei' supaya cukup ileh belajal maya nok laan ek
Nok pelabi brung irat lem sungneu amai adin yah bileng lemdin. Bileng lemdin nah si atol sungneu nok an amai mat sing siu hnai.
Aa mau aa let' kira let' la, let' let' mai lipan dei nok ma'nah lah
The questions use the ’ character, while the responses use the ' character instead. These characters should be treated as equivalent.
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
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