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Release Date: 9/17/2026
Format: MP3
Size: 309.93 MB
A collection of spontaneous responses to questions in Thur (Thur).
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Thur [Thur - 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 | 1,247 | 39.9% |
| Dev | 413 | 13.2% |
| Test | 149 | 4.8% |
| 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.
Tic mënë n'ëtëla më dini ötïmö gïnï ï kin lwak më kabedoni?
In itio kï kwan-ni nïngö pï könyö jö më kabedonï?
In anaka ïtëmö nwongo pëkö mörö ï karë na in itye ka woth kï gin më woth ka lwak?
*Yodhi mënë na kwan ölökërë ködë kï ï kabedoni ï mwaka n'opoth gïnï angec? *
In ïnënö kwan ömëdö rwöm ka mon onyo ëthïnö anyira më pacöwu nïngö?
There follows a randomly selected sample of transcribed responses from the corpus.
Ngö na kelo nyaa ka two taipod ï kabedo onu obedo modho pii na rëcö,
Gin na jïï marö woth ködë kï ï kabedona obedo ötöka, pikipiki ëka gali.
Rwöm më kwan obino ï pacö na mëga gin n'okelo na bër ënë nï, ëthïnö ökwanö, onwongo gïnï tic aa lok më trancpot ba obedo pëkö co ënë nï, pacöna okelo döngö lobo pïën cïlïng do tye, ëthïnö kelo cente gërö kï öt na mëga naka ömïö pacöna ocung na bër.
Ï kabedowa wan ëyërö ëtëla kite na cïk kï Uganda kobo nï ëyër atëla ködë, ka ecung acunga ï nge onyo ebolo ï canduk, ën kite ëyërö k'atëla ködë ënönön kï ï kabedowa.
Jïï marö woth kï apwöyö. Jïi marö woth k'ötöka, tyëlö, gar ëka gin nökënë na nwongo könyö calö böda pikipiki. Gin nön könyö gïnï na tëk ëka ka ïnënö ï lobowa më Thur jami nön dong tye na pol na nwongo mïö woth bedo na yot.
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