Common Voice Spontaneous Speech 3.0 - Sabah Malay

msi — Sabah Malay (msi)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Sabah Malay [msi - msi]. The dataset contains 2277 clips representing 13.54 hours of recorded speech (0.01 hours validated) from 33 speakers.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

Training splits

Training split coverage: 0 of 4 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

Samples

Questions

There follows a randomly selected sample of questions used in the corpus.

1. Terangkan cara menempah temu janji doktor di negara kamu.

2. Bagaimana kamu menjaga badan dan kesihatan kamu?

3. Adakah kerajaan kamu mempunyai program kebajikan yang kukuh?

4. Adakah orang yang berbeza umur menggunakan teknologi secara berbeza?

5. Apakah warna yang kamu suka?

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

1. [unclear] Gu-guru atau mentor atau pun saudara banyak membantu kehidupan seharian saya dengan cara mereka [Um] menasihati, membimbing dan juga [Um] menunjuk ajar [Um] dalam [Um] hal-hal yang berkaitan dalam kehidupan seharian.

2. Saya tidak lakukan apa-apa tapi anak-anak, ahli keluarga saya ingat bila hari lahir saya, [Um] saya hanya ingat bila hari lahir saya jadi anak-anak pun ingat jadi saya tidak buat apa-apa tanda bila hari lahir saya, kawan atau anak lah bagi ingat atau suami.

3. Makanan segera seperti "burger" [Um] migi dan sebagainya.

4. Cuaca hari ini sangatlah panas dan sabalah patangnya [Um] akan [Um] biasanya akan turun hujan, mendung.

5. [Um] Dalam bidang kreatif atau perhiasan ini yang saya boleh [unclear] seperti frame-frame gambar gantung dan lain-lain lah.

Fields

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

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

Acknowledgements

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

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.

Footnotes

1. 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