Common Voice Spontaneous Speech 3.0 - Kelabit
License:
CC0-1.0
Steward:
Common VoiceTask: 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
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
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 59 | 3.4% |
| Transcribed & Pending | 1,658 | 96.6% |
| Not transcribed | 0 | 0.0% |
Training splits
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 1,717 | 100.0% |
Training split coverage: 0 of 59 transcribed & validated clips (0.0%)
Transcriptions
Transcription status
| Bucket | Clips | % |
|---|---|---|
| Validated | 59 | 3.4% |
| Pending | 1,658 | 96.6% |
| Edited | 126 | 7.3% |
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.
Nun bang terawe iko lem ayu guna bank lem talian?
Lem linuh iko. nun perkhidmatan nuk leng doo/perlu ngan lemulun mula?
Nun bada iko kinuan ja nuk mudeng mado ngan lun ruyung iyeh?
Kapeh ngutang nuk siit kerab nuuh idah desur ngepuun naru dagang?
Nun nuk midih iko rapang/tuseh ngerawe lem ayu talipaun?
Responses
There follows a randomly selected sample of transcribed responses from the corpus.
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.
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.
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'.
[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.
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 useraudio_id- numeric id for audio fileaudio_file- audio file nameduration_ms- duration of audio in millisecondsprompt_id- numeric id for promptprompt- question for usertranscription- transcription of the audio responsevotes- number of people that who approved a given transcriptage- age of the speaker1gender- gender of the speaker1language- language namesplit- for data modelling, which subset of the data does this clip pertain tochar_per_sec- how many characters of transcription per second of audioquality_tags- some automated assessment of the transcription--audio pair, separated by|transcription-length- character per second under 3 characters per secondspeech-rate- characters per second over 30 characters per secondshort-audio- audio length under 2 secondslong-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
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