Common Voice Spontaneous Speech 3.0 - Lendu

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/20/2026

Format: MP3

Size: 270.07 MB


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Description

A collection of spontaneous responses to questions in Lendu (led).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

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.

Processes

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.

Metadata

led — Lendu (led)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Lendu [led - led]. The dataset contains 2851 clips representing 15.14 hours of recorded speech (10.08 hours validated) from 26 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

BucketClips%
Transcribed & Validated1,89766.5%
Transcribed & Pending301.1%
Not transcribed92432.4%

Training splits

BucketClips%
Train1,21042.4%
Dev32711.5%
Test36012.6%
Unassigned95433.5%

Training split coverage: 1,897 of 1,897 transcribed & validated clips (100.0%)

Transcriptions

Transcription status

BucketClips%
Validated1,89798.4%
Pending301.6%
Edited42522.1%

Samples

Questions

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

  1. Nyi chùw ní lǎní dda ŋǎchú nyìdhí bba ó?

  2. Ddudhò à ní lǎní mà bbǎ ley ní sukari mbrudha ndaní à kwó mà tsòtsò lǎní li rónga mí déydha dhò?

  3. Nyì njèy ní dròdró ní ddu gbè Krismas, ǐdì mí madha ŋǎchú nyìdhí bba ó?

  4. Dhì ní ndrǔ dhó ŋá njí jì njèy nyìdhí bba ó?

  5. Kawa bbiydha dhò màdhí bbalè mí lǎní déydha jì li ŋǎhcú màdhí bba ó?

Responses

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

  1. Ndrǔ íy bbalè wá déy ddǐngǎ ka těy lò nzòw dhò ì dho rà sòmù ò nì nzòw rǎ sòmù ò ì dho li dhokpa nà nì njí njèy nì ndrǔ njěy fú njí ì nì bǐzìnès njěy nì ndrǔ njěwò ní à nì jǐ à drŕ njí mí klôw màdhí bba ó

  2. Dùdú ní mb ka bbú nì lon ní nì à kwó nì dhì ní ndrǔ tsotso í lò òluw. À léy nì zòw tde nì ngǎ ndrǔ chuw nì dùdú ní nì ddiy túkpa jǔkù mà ní nì, sàbúnì mà ní nì, àà e éskòt mà dzz̀dha fúddiy à léy nì ndrǔ dhí mb teytsò déy nì ndèy rr̀dja

  3. À kà mà bbú ndrǔ dho cha ngengéy ní lò à nì ndèy jǐ ndrǔdhí somù dho nì à ka nzǐ mà déy ndrǔ ro ndô nà li dyàsi ngengéy ní nì nà ndaní ndrǔ ddí chǔw ì ɦuwdjò nì tǔw ì dyàsi kà ó

  4. Ma njúw nì mà tsá nzòw tsò ddìnga ó ya mà ngwò Ddra mí ngwo mà nì fú ngwo ngwǒ mí sâ ró manì fú nzòw tsò njuw màrà bbiydha piy mà rà dòw ddìnga-ó ya mà dòw ddìnga-ó mà nì Ddrà nzǐ fú nzòw ddí nì ngu rà hiy ì dhí dza ó

  5. À nì jǐ mà njúw ndrǔ tsò ddǐngá ka vú kàss ka lów lò dhò ndrǔ dho ndrǔ tsǐ níyà í pbúw téy lò à tde nì ǐnchú ndrǔ nzǐ ndrǔ sǎ ì ngéyngéy ní pbúw nà ndrǔ déy ì rr̀dha nà ndrǔ déy ì tsotso kwódha nà wǎnì sâ nà ndrǔ njúw ì tsò ndaní ndrǔ rř lǎní lò dròdró ní bbalè dèddù

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

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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