Common Voice Scripted Speech 25.0 - Gujari

گوجری — Gujari (gju)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Gujari [گوجری - gju]. The dataset contains 11741 clips representing 10.67 hours of recorded speech (10.07 hours validated) from 7 speakers, recorded from a text corpus of 3,854 sentences.

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 self-declared age and gender distributions. A coverage summary is shown below each table.

Gender

Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.

Gender declared: 0 of 11,741 clips (0.0%), 0 of 7 speakers (0.0%)

Age

Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.

Age declared: 9,185 of 11,741 clips (78.2%), 3 of 7 speakers (42.9%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 3,830 of 11,081 validated clips (34.6%)

The dataset contains 11081 validated, 154 invalidated, and 506 unresolved clips. The average clip duration is 3.274 seconds.

Text corpus

The text have been taken from Gojri story books, folk tales, Islamic studies and from course books.

Validated sentences: 3,852

The corpus contains 3,854 sentences: 3,852 validated and 2 unvalidated (2 pending review, 0 rejected), with 0 reported for review.

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.

1. کاہڈ وہ بے مر گیو

2. ایک دھیاڑے دیکھیو

3. راکھاں اس کول پوہچیا

4. اُت مُڑ کے نیہہ چلسوں گی

5. فوج کا افسر نے انھ لوکاں کی خذمت واسطے اپنا جوان چلایا

Sources

Islamic studies Gojri stories

Text domains

General

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.

Fields

Clips

Each row of a tsv file represents a single audio clip, and contains the following information:

• client_id - hashed UUID of a given user

• path - relative path of the audio file

• text - supposed transcription of the audio

• up_votes - number of people who said audio matches the text

• down_votes - number of people who said audio does not match text

• age - age of the speaker1

• gender - gender of the speaker1

• accents - accents of the speaker1

• variant - variant of the language1

• segment - if sentence belongs to a custom dataset segment, it will be listed here

• prompt_upvotes - number of upvotes the sentence prompt received

• prompt_reports - number of reports the sentence prompt received

• is_edited - whether the clip's transcription has been edited

validated_sentences.tsv

The validated_sentences.tsv file contains one row per validated sentence in the text corpus:

• sentence_id - unique identifier for the sentence

• sentence - the sentence text

• variant - the variant of the language

• sentence_domain - the domain(s) the sentence belongs to

• source - the source the sentence was collected from

• is_used - whether the sentence is still in circulation for recording

• clips_count - number of clips recorded for this sentence

unvalidated_sentences.tsv

The unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:

• sentence_id - unique identifier for the sentence

• sentence - the sentence text

• variant - the variant of the language

• sentence_domain - the domain(s) the sentence belongs to

• source - the source the sentence was collected from

• up_votes - number of upvotes the sentence received

• down_votes - number of downvotes the sentence received

• status - current status of the sentence (pending or rejected)

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Speak

• Write

• Listen

• Review

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.

Footnotes

1. For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2 ↩3 ↩4