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Release Date: 6/17/2026
Format: MP3
Size: 309.93 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-4.0-2026-06-12 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 | 1,075 | 34.4% |
| Dev | 411 | 13.1% |
| Test | 323 | 10.3% |
| 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.
Koth wer mënë na in ïmarö winyo?
Tït körë kï körë kïte na kwan ölökö kï nenoni ködë pï kwö.
In ïnënö kwan ömëdö rwöm ka mon onyo ëthïnö anyira më pacöwu nïngö?
Yoo mënë n'ëcwö na tye ka tii römö tic ködë na bër rwök më gwökö gupu më kome?
*Ngö ënë jïï marö woth ködë kï ï kabedni? *
There follows a randomly selected sample of transcribed responses from the corpus.
Mac elektricity tye.
Gin na wan jö më pacöna bino gïnï ködë kanya acël më cwakö kwan pï jö kïbëc ënë nï, ebedo ï mïtïng më poko ëthïnöwa pïën ebedo ka nënö cïlïng onyo lïm na tye ï cïngwa cë epoko ï akinagï cë gïn cïdhö gïnï këdë.
An acemo kïrïö ï nïnö acël. Caa abïrö ëka kothyeno.
An atëmö
Tic na römö mïö dhanö römö nwongo two jönyö nama acël obedo myël ëka më arïö nywakö ködë gin mökö na bïbïth na calö akur, olyedi, akëth ëka mënë ökënë ënë nï buto kï ngat na tye kï kudi two jönyö.
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