Common Voice Scripted Speech 24.0 - Northern Hindko

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 12/5/2025

Format: MP3

Size: 206.26 MB


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Description

A collection of scripted spoken phrases in Northern Hindko.

Considerations

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

Processes

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.

Metadata

شمالی ہندکو — Northern Hindko (hno)

This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset for Northern Hindko (hno). The dataset contains 9407 clips representing 10.47 hours of recorded speech (10.15 hours validated) from 36 speakers.

Language

Hindko language is spoken mainly in Northwestern region of Pakistan by about eight million people. hno variety of Hindko is used mainly in Hazara region of Khyper Pakhtunkhaw, Kaghan valley & Muzaffarabad division of Pakistan administered Kashmir and in parts of Indian administered Kashmir as well. Oral discourse of Hindko covers a wide range of subjects, including religion, education, poetry, politics, theater etc.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, percentage refers to the number of clips annotated with this gender.

GenderPercentage
Undefined52.0%
Female Feminine48.0%

Age

Self-declared age information, percentage refers to the number of clips annotated with this age band.

Age BandPercentage
Undefined9.0%
Twenties66.0%
Thirties23.0%
Teens2.0%

Text corpus

The corpus of the langauge is mainly created/written on everyday discourse topics such as geography of the area, langauge, culture, education, sports activities, tourism potential of the area etc. There are more than three thousands sentences in the dataset and word count is around 20 thousand.

Writing system

Perso-Arabic script using a spelling system based on Punjabi is used for the Hindko corpus.

Symbol table

ئ ے ی ء ھ ہ ٷ ؤ و ݩ ں ن م ل گ ک ڨ ق ف غ ع ظ ط ض ص ش س ݬ ز ڑ ر ذ ڈ د ڇ خ ح چ ج ث ٹ ت پ ب ا اّ

Sample

There follows a randomly selected sample of five sentences from the corpus.

س ہک پہاڑی سلسلے سنڑ اِناں دویاں کو جدا رکھیا دا ہے۔
رانڑے مردم شماری دی گل کردے آں۔
اتھو ہک اہم راہ آسا۔
تاکہ شہر سہنڑے لگّن۔
پھول کلیاں رسالے بچ کہانڑیاں ہوندیاں آسیاں۔

Automatic random samples

اس کمے دے کہ ہی گلا کراں۔
اے قراقرم سڑکا دے نال جگلوٹ تک چلدا ہے۔
اے سفر اسی واسطے کیتا دا ہے۔
اُناں کو ٹھیک کر چُھڑاں۔
اے شہر کابل دی طرفو ہندوستان اینڑاں والے آستے ’پیش آور‘ آسا۔

Sources

Written by Muhammad Ilyas (Muzaffarabad), “likhtaan” (Magazine-Abbottabad Mansehra), Hindko Ghar (Channel-Kel Neelum), Hindko-I (Channel-Kutton Neelum), Aprin Hindko (Channel-Abbottabad Mansehra)

Text domains

DomainCount
Undefined6162
Agriculture Food5816
Finance3245
General2574
Media Entertainment5816

Processing

There is limited material available of Hinkdo, the corpus of the langauge is mainly created/written on everyday discourse topics such as geography of the area, langauge, culture, education, sports activities, tourism potential of the area etc. This way, we able to have a more natural form of data/corpus of the language. Language advocates form Abbottabad, Mansehra, Muzaffarabad, Neelum & Jehlum districts are also consulted for validation and their input about Hindko corpus. Social media channels like "Aprin Hinkdo" are also visited to see what is presented about Hinkdo langauge so that most of the aspects of the Hinkdo sould be included in the corpus.

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Acknowledgements

Datasheet authors

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

Licence

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.