Common Voice Spontaneous Speech 3.0 - Sa’ban

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/20/2026

Format: MP3

Size: 213.37 MB


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Description

A collection of spontaneous responses to questions in Sa’ban (snv).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

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.

Processes

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.

Metadata

snv — Sa’ban (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.

Language

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.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

BucketClips%
Transcribed & Validated60.3%
Transcribed & Pending1,10154.1%
Not transcribed92945.6%

Training splits

BucketClips%
Train00.0%
Dev00.0%
Test00.0%
Unassigned2,036100.0%

Training split coverage: 0 of 6 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

BucketClips%
Validated60.5%
Pending1,10199.5%
Edited696.2%

Writing system

The Saʼban writing system is based on the Latin alphabet.

Samples

Questions

There follows a randomly selected sample of questions used in the corpus.

  1. Non la’ot nok wei ceh la’an ngan endeh?

  2. Non pelabeh ceh lem gonah’ telpon bimbit?

  3. Kedutpah hnau ceh lem pilan nok adiu an aro ko’dut si’ nyen? Endeh?

  4. Kedut pah ceh kap padei’ wei’ ukum adat lem negala ceh?

  5. Um minot ceek mai pei’

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

  1. *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. *

  2. 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

  3. 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

  4. Nok pelabi brung irat lem sungneu amai adin yah bileng lemdin. Bileng lemdin nah si atol sungneu nok an amai mat sing siu hnai.

  5. Aa mau aa let' kira let' la, let' let' mai lipan dei nok ma'nah lah

Recommended post-processing

The questions use the ’ character, while the responses use the ' character instead. These characters should be treated as equivalent.

Fields

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

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Community links

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Acknowledgements

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

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.

Footnotes

  1. 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