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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 9/15/2025
Format: MP3
Size: 216.05 MB
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A collection of scripted spoken phrases in Sindhi Bhil.
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.
sbn)This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset
for Sindhi Bhili (sbn). The dataset contains 11 hours of recorded
speech (11 hours validated) from 21 speakers.
Umerkot, Noukot, Kunri and Badin. Speakers are in thousands.
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 | 100.0% |
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Twenties | 55.0% |
| Teens | 19.0% |
| Fourties | 26.0% |
Self-Written
A version of the Perso-Arabic alphabet in Pakistan.
ا آ ب ٻ ڀ ت ٿ ٽ ٺ پ ج ڄ جھ ڃ چ ڇ د ڌ ڏ ڊ ڍ ر ڙ ز س ش ڦ ڪ ک گ ڳ گھ ڱ ل م ن ݩ ڻ ۈ و ۆ ه ء ىٰ ي ێ َ ِ ُ
There follows a randomly selected sample of sentences from the corpus.
تر رآ سڀ مآڻهوٚ اُٺ ري وآرآنٚ مآنٚ ٺهيل ڪپڙآ پهرتو ائيٚنٚ جھنٚگليٚ مآکيٚ کآئيٚتو۔
هڪڙو ايڙو مآڻهوٚ آڻ وآرو اهي موٚنٚ کآݩ وڌيٚڪ ڪزرت وآرو اهي
Automatic random samples
اُئي ڪتآب تي ويهآݩ رآ ڏيٚݩهݩ ڪڍي دو۔
ٽولآن رآ ٽولآ ڏسڻ ميݩ ائيٚݩ دآ۔
ميݩهن رو اگھ جآم هوئي دو۔
هر چوڏهآݩ اگيسٽ تي ميلو لڳي دو۔
توݩ ايئي ڪم لآ هيو وهآ
Self-Written
General
Common Voice Community
From Mozilla Community. Acknowledge 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.