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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 199.91 MB
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A collection of spontaneous spoken phrases in Serian Bidayuh.
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.
sdo)This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!
This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Serian Bidayuh (sdo). The dataset contains 1389 clips representing 11 hours of recorded
speech (2 hours validated) from 25 speakers.
| Split | Count |
|---|---|
| Train | 998 |
| Test | 255 |
| Dev | 229 |
Prompts: 119
Duration: 10:28:54 [h:m:s]
Avg. Transcription Len: 239
Avg. Duration: 27.17[s]
Valid Duration: 4984.92[s]
Total hours: 10.48[h]
Valid hours: 1.38[h]
There follows a randomly selected sample of questions used in the corpus.
Cuba amu nerang aktiviti ato projek da kreatif da adeh amu ngundah neh.
Meng anih amu nyaga tibu mu sen neh sehat.
Anih homework da tiyan amu da mene susah amu ngundah neh.
Adeh kah printah kinde ngundah program kebajikan dadeg inya da mene nguna neh?
Meng anih pikir mu AI buleh tinan da pimudip kita tiap andu?
There follows a randomly selected sample of transcribed responses from the corpus.
Projek projek ato aktiviti da kreatif da tundah ku' da nehun adup kuk tik, anyap tantu ne. Da babahas, mina da dipu't dipu't. Pasal landscape mung ti, aduh la kuk ngundah ne. Atau pun ne nehun sea hawk, [uhh] kabut kabut buak kayuh, penes [uhh] tik aduh ku ngundah ne pak da babahas bekun memang anyap.
Cara ku nyaga tibu ku ialah aku maan [uhh] skurang kurang ne [uhh] taruh kali indi anu pas en rimpas ku maan en dalam ku ngunah aktiviti bersenam wang meh lambat anu pas en bingare ku akan bees dalam mahi jam indi anu kaik buleh kurang meng sien lah supaya aku dapat [uhh] mengekalkan tubuh badan da sihat dangan sentiasa active la tiap hari tiap andu.
Homework da tiyan kuk da menu susah kuk ngundah ne ngamin ne si'en mah Additional Maths. Ngin akuk bayuh tantu puan, bayuh puan cara, akuk bayuh tantu faham anih kayuh da bilajar akuk masa si'en.
[noise] program kebajikan ti memang adeh ne gatuh neg kampung untuk bala da batul batul nguna pinulung masu pemerintah jaji bala ti ngunah program ti da tanang kita manang nyungka kebajikan nyungka pintulung neg perintah da...da...sen bala ne dapat nulung bala da asi asi meng ibu tunggal da tanang inya bala da balu...bala da balu...bala da meng bala da suboh da anyap baneh anyap asau...jaji bala da...ti mah ceh da [aaa] adeh program da dadeg inya da mene mene memerlukan kebajikan.
AI buleh tinan da pimudip kita tiap anu ngin ne nyanang kiraja adep masu mele ne, kaik adep susah susah lagi meng da sani ne.
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 30 seconds
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