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Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 212.74 MB
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A collection of spontaneous responses to questions in Kenyah (xkl).
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.
xkl)This datasheet is for sps-corpus-4.0-2026-06-12 of the Mozilla Common Voice Spontaneous Speech dataset for Kenyah [xkl - xkl]. The dataset contains 1795 clips representing 10.41 hours of recorded speech (1.44 hours validated) from 23 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 259 | 14.4% |
| Transcribed & Pending | 1,516 | 84.5% |
| Not transcribed | 20 | 1.1% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 1,795 | 100.0% |
Training split coverage: 0 of 259 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 259 | 14.6% |
| Pending | 1,516 | 85.4% |
| Edited | 302 | 17.0% |
There follows a randomly selected sample of questions used in the corpus.
Inu ia’ ko’ selum teka’ neng senganak ko’, kadep ko’ atau neng tuyang ko’?
Kumbin layan abun ka’ tana’ kem?
Teknologi ia’ mbi ko’ peketo pakai?
Cin ko’ e-ut, kelo jadi inu ko’midan ko tai bio’?
Inu katuk ko’ ke nak kuma tuyang ko’ ia’ un bisau kimet neng ca pemuyan?
There follows a randomly selected sample of transcribed responses from the corpus.
*[um] oka pinjamin kecil di boka le nak dagang ngan du kulu balok ti cen kentak ne ukok se le tei juan atuk ka ja pa ilu kumpul tei pe ilu juan kujau ilu kumpul pe ja. tai ne kaduk kaduk ya ne ilu oyan kedai meka ilu ne menjam menjam aung ligit keja. ilu ne jimat jimat sey *
penguman wak nai ilu tiga wat ti agat [um] nisep teleng lia. lia bala lia bala ni ilu edei kidi ya peletak kidi ya lepa na ngena tai sengim kediut ina lu nisep kidi ya. buk lu lepa nisep na nyana na ilu lepa ina. pa lu nyana na tiga tekak lu ngelaset.
*katuk ke kuma tuyang ke yak bisau kimet ake cuk ya relax apan ia’ be’un ale stress [um] ki- di kak pemuyan ia’ na *
*[um] baan kimet ke tiga te ilu tei [um] ti sukan baya' dalem peng uban lu cen ina ilu sukat idei sukat [um] tisen dulu ya' kadu' kadu' ya tuyang ulu man lu kina ti kawan ti tuyang mading tai bayan ulu. *
mung ji ilu kelo mung tiga sek ilu ta’an pa nta na jam kemilek edei kuak tiga sek pa. nta jam lu milek kuak kuak te ke layan da.
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