Common Voice Spontaneous Speech 3.0 - Kelabit

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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: 194.33 MB


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Description

A collection of spontaneous responses to questions in Kelabit (kzi).

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

kzi — Kelabit (kzi)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Kelabit [kzi - kzi]. The dataset contains 1717 clips representing 9.51 hours of recorded speech (0.22 hours validated) from 21 speakers.

Language

Kelabit is an Austronesian language in the Apo Duat subgroup. It is spoken by the Kelabit 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 & Validated593.4%
Transcribed & Pending1,65896.6%
Not transcribed00.0%

Training splits

BucketClips%
Train00.0%
Dev00.0%
Test00.0%
Unassigned1,717100.0%

Training split coverage: 0 of 59 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

BucketClips%
Validated593.4%
Pending1,65896.6%
Edited1267.3%

Writing system

The Kelabit writing system is based on the Latin alphabet.

Symbol table
a e i o u
aa ee ii oo uu
b bp c d dt g gk h j k l m n ng p r s t w y ʼ

Samples

Questions

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

  1. Nun bang terawe iko lem ayu guna bank lem talian?

  2. Lem linuh iko. nun perkhidmatan nuk leng doo/perlu ngan lemulun mula?

  3. Nun bada iko kinuan ja nuk mudeng mado ngan lun ruyung iyeh?

  4. Kapeh ngutang nuk siit kerab nuuh idah desur ngepuun naru dagang?

  5. Nun nuk midih iko rapang/tuseh ngerawe lem ayu talipaun?

Responses

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

  1. Luk tu'en uih mada' sah kerja kerja luk senaru' uih baru-baru inih iyeh neh nulung [err] nekap barang tu'en merey ngen lun merar.

  2. Ah inan kanuh nuk tuen Lun Tauh iyeh ineh kanut [uhm] lun delaih, kanut lun desur dah kanut kadang. Dan juga' inan teh [uhm] music Sapeh ruyung kanut neh.

  3. Nun program beken, program raut sape' unih sape' teh doo' pedingeren narih lem kampong nangey doo' teh [err] ngebpo erur narih lem muli' let lem lati'.

  4. [cough]... Lem ayu' raut nih uih doo' pian raut ngen... ngen lem group lah. [sepeh...] kayu' [aah] raut betminten dih. Pruyung teh narih raut, pruyung teh narih [ngg...] naru' memukul dih lah kadi' narih doo' pian. Doo' teh pian narih raut pruyung ngen kawan narih. Inan the semanget muh ... nekaruh ngedeh men. Ineh neh doo' dih.

  5. Nukanan nuk lang do,lam burul luk an narih kuman iylah nubah,lawih, labo nuk ruh burul narih kail.

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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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