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Release Date: 9/17/2026
Format: MP3
Size: 212.74 MB
A collection of spontaneous responses to questions in Kenyah (Kenyah).
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Kenyah [Kenyah - 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 musim atau naen-naen puyan awang ka’ tana’ kem?
Inu cen ia’ pengebaya’ ko’ taen? Kumbin layan cen ina?
Kumbin tajen ko’ pakai telefon bimbit?
Inu kimet kawa ko’ pasen tuk pakai telefon bimbit udip tau ini?
Kumbin puyan dulu ngundi dalem negara kem?
There follows a randomly selected sample of transcribed responses from the corpus.
*teknologi yak [um] ame peketo pakai nakini adalah kuak ba’an teknologi dari segi idai kan kerja me apan ame [um] mudah senang [um] ke ba’an tuk networking [um] apan le Google Meet WhatsApp Instagram emel. kebanya- lebih kepada IT lah teknologi. ya lah teknologi *
*tau bi'u atau tau selamat ka dalem pengeluk kik je' ake keluk la ya la siuk [um] ilu sambut krismas oban mok pe krismas ini ilu kelimpun kaduk ngan panak panak ilu ngan kaduk uman penguman yak tiga ne. *
[um] nak kini ake un [um] minat [um] main chess [um] dau isu inggeris na main main chess nakini pe un main bideo game Mobile Legend ina tauk lo' la.
man sik program talidio ya' ake nyaik ngeringa na are ukuk sik kupi kupi fm na re singket tau mik ngeringa ngan [um] kaduk te pei bo' dj ya ake tisen ku dalau ina re kan peminat ngan du ya' be dai ku [um] songwak festival kaduk ke' teguk ida ida te ban nak tiket me ake pe re
[um] tekak kimet ce' la dalem kuak kuak sik pasen tok [um] tai ngebayak sukan dini sukan ya' dalem peng ri pe nyangen lok pe tiga lok ka kok pepenat tali ne kuak ya' [um] sukan petengen ni kuak le ti ya' [um] lompat tinggi, lompat jauh, [um] amik pisiu pekina pengikut dau dau kumpin sekolah badak ya' [um] peng ni pe tiga pe tekak e.
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