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Task: ASR
Release Date: 3/30/2026
Format: MP3
Size: 201.26 MB
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A collection of spontaneous responses to questions in Serian Bidayuh (sdo).
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.
sdo)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Serian Bidayuh [sdo - sdo]. The dataset contains 1389 clips representing 9.81 hours of recorded speech (1.32 hours validated) from 25 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 217 | 15.6% |
| Transcribed & Pending | 1,172 | 84.4% |
| Not transcribed | 0 | 0.0% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 1,389 | 100.0% |
Training split coverage: 0 of 217 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 217 | 15.6% |
| Pending | 1,172 | 84.4% |
| Edited | 493 | 35.5% |
There follows a randomly selected sample of questions used in the corpus.
If you could spend a day learning a new hobby, what would it be and why? Kan amu dog judon piluang bilajar hobi da bauh, anaih da ira mu? Manih bada?
Anih pemain asal da binain ank inya da komuniti kinde?
Anih piker amu pasa suwe da sukan ihong-ihong dangan da sigkadep?
Anih tanggunjawag inya da moh dog pilih da komuniti adep neh?
Anih anak kayuh da silalu amu tebek nuh?
There follows a randomly selected sample of transcribed responses from the corpus.
Kayuh da ngancak aku stress da kiraja bilajar atau hobi aku sien mah wang aku kaik kanan ngundah dangan dapat ngundah [uhh] kayuh da perlu aku. Untuk aku dapat kayuh sien. [uhh] silagi aku bayuh napud ne, bayuh faham ne, en akan ngancak aku stress. Sampe aku meh napud jawapan, solution, answer da batul [uhh] baru baru aku meh kaik stress.
Pirasa da sikulah anak ti mesti ne penting memang ne patut sebab ne pirasa sikulah ti inceh da puan ne ngancak kita puan anih da bilajar da sikulah Meng en lagih kita puan pingajar siti [uhh] untuk bala sien untuk wang ne ra mancang jawi ne lagi. Anih anih kayuh da bilajar siti sien ce paguh da kuan inya untuk [uhh] untuk tubek gapih pimuhu bala ti dalam sikulah ne
Okay, sanda pitayen aku dadeg bala dingan aku aseng ti mahun ka anih anih ka. Kita mesti mencabar kayuh ti. [uhh] menanam abih aseng adep ti mesti ra cuba. Adep mesti yakin adep buleh ngunah kayuh sien asalkan [uhh] aba putus asa la, seh yen ne
Pasal minan online banking ti paguh adep kaik perlu ra neg bank gain neg ATM mani'k banking duit. Pasal minan online banking ti just hujung tangan ja adep nekan ne minan online sahaja senang kaik.
Teknologi da mene mene ngancak udip ku senang paling senang ialah handphone lah ngin indi ne icek. Indi ne ahi fungsi da buleh minan ne lah. Dep buleh tubek video dep buleh message, dep buleh email, ahi macam dep buleh ngundah ne minan handphone iti.
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
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