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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 235.43 MB
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A collection of scripted spoken phrases in Loarki.
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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.
lrk)This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset
for Loarki (lrk). The dataset contains 12 hours of recorded
speech (12 hours validated) from 20 speakers.
Loarki is spoken by around 520,000 people in Sindh in Pakistan and in Rajasthan in India.
The dataset includes the following distribution of age and gender.
Self-declared gender information, percentage refers to the number of clips annotated with this gender.
| Gender | Pertentage |
|---|---|
| Undefined | 83.0% |
| Female Feminine | 17.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Twenties | 28.0% |
| Thirties | 1.0% |
| Teens | 34.0% |
| Fourties | 19.0% |
| Fifties | 1.0% |
| Sixties | 17.0% |
Latin Sindhi
اآب ٻ ڀ ت ٿ ٺ ث ٽ ج ڄ چ ڇ خ ح د ڌ ڏ ڊ ذ ر ڙ ز س ش ص ض ط ظ ع غ ف ڦ ڪ و ک ل م ن ڻ و ه ھ ي
There follows a randomly selected sample of sentences from the corpus.
ھون لوھار ھون ماري ذات پتاڻي جي ھون بي روزگار ھون ماري تين ٽاٻر ھي ماري ٻير گهر ۾ گهي ھي
Automatic random samples
جيم سر زوبير ڪيئي ايم اي ڪرو
ايم ني ڪرووُ کپي
ھين جائين بيمار پڙي گيو
ھي بس ڪروہ ھي بس ڪرہِہ ھي
اوڻي منو پندري سو جملا ليکايا ھي
Nand kishore
General
Common Voice Community
Last funding received from Mozila Community Mr. Meesum Alam Meesum.alam@gmail.com
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.