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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 318.69 MB
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A collection of spontaneous responses to questions in Thur (lth).
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.
lth)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Thur [lth - lth]. The dataset contains 3126 clips representing 15.36 hours of recorded speech (9.13 hours validated) from 29 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 1,809 | 57.9% |
| Transcribed & Pending | 2 | 0.1% |
| Not transcribed | 1,315 | 42.1% |
| Bucket | Clips | % |
|---|---|---|
| Train | 1,248 | 39.9% |
| Dev | 385 | 12.3% |
| Test | 176 | 5.6% |
| Unassigned | 1,317 | 42.1% |
Training split coverage: 1,809 of 1,809 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,809 | 99.9% |
| Pending | 2 | 0.1% |
| Edited | 855 | 47.2% |
There follows a randomly selected sample of questions used in the corpus.
Karë mënë na dhakö na yac myero öcak cïdhö ï pimërë?
Kite mënë na in ïnënö kï kwan ka tye ka yübö anyim ka peci na tye ï kabedoni?
Ngö na jö më pacöni ötïmö gïnï ëk ömïï lwak nökënë ömak gïnï kwan calö gin na pïrë tëk rwök?
*In itye kï miti më pwonyiri ï kom köp më thëkwarö n'ökënë? *
*In ïtwerö kobo nïna kala na papath na tye ï bëndëra më Uganda? *
There follows a randomly selected sample of transcribed responses from the corpus.
*Ëcwö myero önën nï ka ën edhero myero ëkwany pii ëk ëcïdh ëlwökërë ökö ëk onwong gin më amadha mörö na lyeth më këthö olo n'ödïö ën ni. Cë gin na pïrë tëk both cwö na myero gïn otïm. *
Tic n'enyodo twërö tïmö gïnï ï yore më tero ëthïnö ï cukul ëka kï cwakö kwan k'athïn mïö jami na nwongo athïn mïtö öcïdh këdë ï cukul ï yore n'opore
An amarö cem na nyige calö öranga, apëna, ëka kal, önywagï ëka kï mën n'obedo ngwedo calö böö, malakwang, cukumawiki ki cem na papath.
Më acël nywakö önyö madhö köngö k'ëcëkë acël önyö okopo acël kï ngata two, two awöna öpïö Jükö mërë tye nï, myero ënën nï ngata two öcïdhö ï öd yath ëka ëmïö ën yath.
Yodhi mënë na kwan ölökö kï kwö më kwöni ködë? Yodhi na kwan ölökö kï rwöm më kwöna, më acël ölökö thamana ëka thon kï ngecna kïbëc ömïö thon kita kita këkën obedo na bër na nwongo pol jïï nënö cï nwongo nï wan ebedo apor ï yoo më kwan.
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