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Release Date: 9/17/2026
Format: MP3
Size: 194.34 MB
A collection of spontaneous responses to questions in Kelabit (Kelabit).
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.
kzi)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Kelabit [Kelabit - kzi]. The dataset contains 1717 clips representing 9.51 hours of recorded speech (0.22 hours validated) from 21 speakers.
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.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 59 | 3.4% |
| Transcribed & Pending | 1,658 | 96.6% |
| Not transcribed | 0 | 0.0% |
| 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%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 59 | 3.4% |
| Pending | 1,658 | 96.6% |
| Edited | 126 | 7.3% |
The Kelabit writing system is based on the Latin alphabet.
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
There follows a randomly selected sample of questions used in the corpus.
Kapeh ayu edto ngi nuk inan iko mudeng?
Ken inan sokongan sekuleh mere kereb karuh/buri lun beken bang bawang muyuh?
Kapeh lem rasa iko lem ayu raut nalan-nalan? Kadi ngudah?
Ken inan kanut atau musik tuen lun muyuh naru lem adet/rang muyuh?
Nun nuk midih la iko pakai teknologi?
There follows a randomly selected sample of transcribed responses from the corpus.
Nga' narih madi' ngilad tungen teh narih ni'er-nier tentera ureng putih renga' ideh marih ngih ruma' tauh. Ela' emey kuh pilut teh lem burur narih. Tak na'em, menjadi' kuh tentera teh narih paad narih jadi' kuh kepten lem amineh ken narih nglad lah. Tapi na'em jadi'. Kineh leh.
mo am tu'ngen radan [um] belajar pasal AI nih artifisal inteligen keteng nekap kapeh teh Artifisal inteligen nih kereb [um] kereb kali senaang arih leh uih pun masih la belajar ngen tulu inan lemulun ngajar uih pun do pian la belajar nih nih seh nuk leng [um] leng leng do leh [um] kadi AI nih nuk nilad uih ngelinuh ken inan technology nuk ku'ayu inih [um] nekinih pengeh inan tapi uih sepat inan [um] belajar dih am sepat belajar dih leh
Mo' nilad doo' piyan raut bol teh arih, pengeh neh da'et matah mey narih raut guitar beruh [laugh] , 'em nuk beken ngen narih nilad, raut no'dih beruh sepak takraw. Pengah da'et matah pakai cermin matah arih beh [err] nekap raut beken luk inan arih senang.
Mula' na'an certah' luk doo' piyan anak adi' anak adi' ngi ruma' tauh 'an masa'. Anak adi' dari pideh keh doo' piyan ngen certah anak adi' nideh. [err] edtur beruh sinan pawa' kah doo' piyan ngen luk ceritah-ceritah love story nideh. Lemulun lun merar beto' ideh keh doo' piyan ngan [err] bukuh facts nideh, maya' umur teh bukuh luk tu'en deh basa' dih.
do pian nigar [um] radio program, radio program, berita [aah] program nani ,musik[silence] nah do pian kadu'uih.
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