Common Voice Spontaneous Speech 3.0 - Kenyah

xkl — Kenyah (xkl)

This datasheet is for sps-corpus-3.0-2026-03-09 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.

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 259 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

Samples

Questions

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

1. Kumbin layan ko’ pedena’ usa ko’ ngan uyan keti kimet ko’ tiga ngan magat?

2. Inu kimet ko’ pasen tuk awang pekaliu udip nakini?

3. Kumbin tajen ko’ pakai telefon bimbit?

4. Inu program talidio kem ia’ malai kem ngening?

5. Inu kimet ko’ pasen tuk peniga ngan pengejaet pakai teknologi?

Responses

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

1. buk [um] board game ya' ake keluk dart [um] buk bideo game be tisen inu [um] PUBG. edai buk kad, gymrami be'un te be'un be'un spesifik dalem be'un ya' teneng lan ya' dalem kidi dei kimet.

2. aek yak ikem mutu midan un pasen tuk penyakit un kak ikem un kak ikem mutu kelunan latak pasen tuk penyakit penyakit

3. *ake pakai kereta ji lepa ca uman e bayan na ake nebelum ake sukat bayan na na pa mo’o. ja sek harap e nai apan Tuhan nak pengagat me ake man e bayan sukat ngan bayan na pa mo’o nak pengagat me ake *

4. Nawai tekak lepa ame nta awen ta’en pekalai isiu de cen na’an cen na’an ja ja te ken Melayu ngan English ja la du ke ti tai na [unclear]

5. [um] obak ida kak menjam sekula obak ida berjaya ke sekula re ja sek pengelo le ke anak tapi ilu obak ida kebayak ilu. obak ida pekalai lan lan apan de ukat de jadi bayak iu je pengelo le

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