Loading datasets...
Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 213.37 MB
Share
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-4.0-2026-06-12 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.
Papah deut ceh entun ngan minet ligit lem tak bongma’ ceh?
Sipah suti ngan pilan nok ceh lah’?
Non padei’ nok an ceh mrai wan toyang nok enjeu’ hnong si anok?
Non bebeh leun mah’ mral nok pi ileh’ leun ra’ wan deh?
Non ilong si pu’un leun lem hmung ceh pro’ mai nan engkan?
There follows a randomly selected sample of transcribed responses from the corpus.
Lem hmueng amai anak saban ai aa.. ko’ duet amai mai tempuen kan, mai tempuen nguui aa…percaya nah Yuhan Yesus aa… nah si’ hmueng plabi wei an amai nnal lem raang amai sebab ndeeh amai aa... adien am papuq jadi lem hmueng nok nah adalah si’ sieu nok aroq amai wei yaat
Aaa. contoh nok aaa lem bangsa tam leun Sa'ban aa papah deut ataol tam lah' nolong leun nok lah' wan anok aaa tam mesti aro' si aa gotong royong, contoh yah la'wan si ma' nan yah mlun. Jadi tam aro' gotong royong untuk membantu, gotong royong aaa lem hmeu' Bahasa, tam aro' aaa kerja, kerja hngui ntam Sa'ban nah nolong aro' si kerja wan leun nok lah' wan mah' contoh yah.
Uji sekolah wan anak anak adik weik hnung arai lek perkembangan deh lem ma’ sekola
Kai arai lak le’ yeh musim lem aweng amai wai, plo’o bihii’. Plo’o bihii’ weh nai nah musim dong lem tana amai wai
masa ek cik alam ek mei sekola lok lun hgui ek. aa bangsa kenyah, bangsa kelabit, bangsa saban. ek emeu2 deh pi nah weik nah lek ek emeu hmeu mak nah
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
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