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Release Date: 9/17/2026
Format: MP3
Size: 213.37 MB
A collection of spontaneous responses to questions in Sa'ban (Sa'ban).
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Sa'ban [Sa'ban - 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.
Kedutpah sawai ceh lem ayo’ langoi? Papah?
Um minot hwang non nok la’pat aro ceh ennal?
Kan nan lemlun nok am pahat lak gonah teknologi ngan pahat ayo’?
Papah lo’ lebet ceh gonah telpon bimbit?
Papah dut bank parap letak ayo’ ligit ceh selamat?
There follows a randomly selected sample of transcribed responses from the corpus.
*dong erang ma' nan amai n'dong am weik [um] telepon abin signal yeh am papah weik erat nan amei n'dong *
eek wei' laan mlung aa bul aa batik ka yah, ataupun bul ma hmu seu', nok aa sesuai ngan aro warna nok laan arai la
*Teknologi nok lek ek ai, mat laptop, nok on lun ai, mat telepon bimbit neh dung lek ek pakai teknologi *
Long deu' nok patau an ek nal dong hma' ek, dung-dung amai mual, wei' pup adin yah. Wei' eu nah wei' pup nah kai arai mual yah lem sup ngan abiu al.
Sape si wei aeu-aeu taang ai yah nah sape lun kenyah
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