Task: ASR
Release Date: 6/17/2026
Format: MP3
Size: 270.08 MB
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A collection of spontaneous responses to questions in Lendu (led).
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.
led)This datasheet is for sps-corpus-4.0-2026-06-12 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.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 1,897 | 66.5% |
| Transcribed & Pending | 30 | 1.1% |
| Not transcribed | 924 | 32.4% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,266 | 44.4% |
| Dev | 359 | 12.6% |
| Test | 272 | 9.5% |
| Unassigned | 954 | 33.5% |
Training split coverage: 1,897 of 1,897 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,897 | 98.4% |
| Pending | 30 | 1.6% |
| Edited | 425 | 22.1% |
There follows a randomly selected sample of questions used in the corpus.
Nyi njèy ní ddu ya djì nì kwò ro?
Li-djòkpa ddadha djá njèy ní ddù bba thìdha mí lò ró?
Dròdró ní bbalè dà ní ŋǎchú ní nzàdha jì òluw nyìdhí bba ó?
Mediya ó lò à sǎ ków ŋǎchú í ddu ó?
Nyi dhò ŋá lò nà dùdú ní dhì ní dhì nzòw tso tso kwo cha ì chùw ì zz̀ nì?
There follows a randomly selected sample of transcribed responses from the corpus.
Nà ndrǔ dho bbiydha mí tuw ddí nì klǒw nyû mí tuw ddí nì klǒw ddawa chùwdha mí tuw ddí nì klǒw dda 'ùwdha mí tuw ddí nì klǒ à lêy ndrǔ dhí djiy nì kpákpá ní nga ó
Lò tèydha ndrǔ dhò ddìnga ó Ddrà mí lò tdràdha ndr ǔdhò ndrǔ kǎnga gbádha nà ndeyní ndrǔ déy ddì nì bbalè ní jǐ nà ka léy ndrǔ ddìnga ó ka léy ndrǔ ddá ì zz ó lò
À kà LC njǎ cha lu ní à tsùw ì kà ó nì bbalè ndrǔ ddá gu njàddî mà bba cha ngǎjì ní ì jì nà ní bbalè ì tsùw mà kà ó nì ndaní màdhí bba déy shú
À lêy bbalè bbà ngǎjìní rù thódha cha ndèy swá li bbalè kǎ nì gu à lêy bbalè dhí déydha jì ngû lǎní li thódha jì nà
Fú mbrukpa jì ma ka dho ndanà nza ó njí njèy nì jì à nì djow, lupángà, mm ndèymí lǒkò fú nì ddiy má ka dho ndanà njí njèynì
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
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
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