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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 212.76 MB
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A collection of scripted spoken phrases in Domaaki.
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.
dmk)This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset
for Dawoodi (dmk). The dataset contains 11 hours of recorded
speech (11 hours validated) from 10 speakers.
The Dawoodi language is one of the rarest and most endangered languages of northern Pakistan. It is spoken by the Dawoodi community, a small ethnic group mainly found in the Hunza and Gilgit regions of Gilgit-Baltistan.
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 | 95.0% |
| Female Feminine | 5.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 4.0% |
| Twenties | 1.0% |
| Thirties | 15.0% |
| Fourties | 81.0% |
It has been derived from different Indo-Aryan languages. No any idea.
Perco-arabic writing system
ا ݳ آ ب پ ت ٹ ث ج چ ح خ ݼ څ د ڈذڎ ر ڑ ز ژ س ش ݽ ص ض ڞ ط ظ ع غ ف ق ک گ ݣ ل م ن ں و ݸ ہ ۃ ی ݵ ݷ ے ݺ
There follows a randomly selected sample of five sentences from the corpus.
کی ہݸ چھائݺ؟
تݺ بِرݳرݳ کتݵئی چھݺ؟
تو کݸسݵئی چھائی؟
پیئݺ نݸم کیسݵک چھݳ؟
بینڈرنݣ کتݵئ چھݺ؟
Automatic random samples
پیا مایا خوش خدا خوش
گھور صاف تھݵ نا اوجی
گھور آما چھا
کالنک اِرے چھایا کا سلُول لنا
اُستاتن امیچو ٹیم گاڈگا چھا
Myself
General
Common Voice Community
Yes, via Meesum Alam: meesum.alam12@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.