Common Voice Scripted Speech 24.0 - Gujari
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 209.94 MB
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Description
A collection of scripted spoken phrases in Gujari.
Specifics
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
گوجری — Gujari (gju)
This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset
for Gujari (gju). The dataset contains 11741 clips representing 10.7 hours of recorded
speech (10.09 hours validated) from 6 speakers.
Language
Gojri is an Indo-Aryan language spoken by the Gujjar community in various parts of South Asia, particularly in: Regions 1. Jammu and Kashmir: Gojri is widely spoken in the Jammu region. 2. India: Many Gujjar communities in Himachal Pradesh, Rajasthan, Gujarat and in many other states speak Gojri. 3. Pakistan: Gojri is also spoken in all provinces of Pakistan including AJK, and GB 4. Afghanistan: Gojri is also spoken in Afghanistan, particularly in Kunar province. Characteristics 1. Similarities with other languages: Gojri shares similarities with other Indo-Aryan languages, such as Punjabi, Urdu, and Hindi, Nepali, Gojrati etc. 2. Unique vocabulary: Gojri has its own distinct vocabulary and expressions, reflecting the culture and traditions of the Gujjar community. Writing system Gojri has its own writing system, and books have been written in various literary genres, including: Gojri Writing System and Literature 1. Perso-Arabic script: Gojri is often written in a modified Perso-Arabic script. 2. Literary works: Books, poetry, and other literary works have been written in Gojri, showcasing the language's rich cultural heritage. 3. Translation of the Holy Quran: The Quran has been translated into Gojri, making it accessible to the Gujjar community. 4. Cultural Expression: Gojri music, songs, films, dramas, radio programs and cultural events showcase the language's richness and the community's heritage. Gojri is a vital part of the Gujjar community's linguistic and cultural diversity.
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.
| Gender | Percentage |
|---|---|
| Undefined | 100.0% |
Age
Self-declared age information, percentage refers to the number of clips annotated with this age band.
| Age Band | Percentage |
|---|---|
| Undefined | 22.0% |
| Thirties | 1.0% |
| Fourties | 77.0% |
Text corpus
The text have been taken from Gojri story books, folk tales, Islamic studies and from course books.
Writing system
Perso-Arabic script
Symbol table
ا آ ب بھ پ پھ ت تھ ٹ ٹھ ث ج جھ چ چھ ح خ د دھ ڈ ڈھ ذ ر ڑ ز ژ س ش ص ض ط ظ ع غ ف ق ک کھ گ گھ ل ل° م ن ن° و ہ ی ے
Sample
There follows a randomly selected sample of five sentences from the corpus.
مہارا مذہب کو ناں اسلام ہے۔
ہم مسلمان ہاں۔
شریف نے اس کے سٹ کری۔
روٹی جھب جھب پکائی۔
دیو آ گیو۔
Automatic random samples
جہڑو پہلاں مُچ بہادر وھے تھو
پروین نے سوچیو
سہی
دو اکھاں ہالا نلا ما آیا
توہ اِت کیوں سُتو ہے
Sources
Islamic studies Gojri stories
Text domains
| Domain | Count |
|---|---|
| Undefined | 11738 |
| General | 3 |
Processing
Book were collected to create corpus.
Recommended post-processing
There are two special characters in Gojri that must be used to create difference from Urdu, Punjabi, Pahari and Mewati.
Get involved!
Community links
Contribute
Acknowledgements
Datasheet authors
Mumtaz Ahmed Nizam Din Shahid-ur-Rehman
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.