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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 210.21 MB
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A collection of read speech recordings in Gujari (گوجری).
Restrictions/Special Constraints
None provided.
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.
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.
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.
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.
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
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.
| Code | Gender | Clips | Speakers |
|---|---|---|---|
| male_masculine | Male, masculine | - | - |
| female_feminine | Female, feminine | - | - |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 11,741 (100.0%) | 7 (100.0%) |
Gender declared: 0 of 11,741 clips (0.0%), 0 of 7 speakers (0.0%)
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.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | - | - |
| twenties | Twenties | 1 (0.0%) | 1 (14.3%) |
| thirties | Thirties | 134 (1.1%) | 1 (14.3%) |
| fourties | Fourties | 9,050 (77.1%) | 3 (42.9%) |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 2,556 (21.8%) | 4 (57.1%) |
Age declared: 9,185 of 11,741 clips (78.2%), 3 of 7 speakers (42.9%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 11,081 (94.4%) |
| Invalidated | 154 (1.3%) |
| Other | 506 (4.3%) |
Training splits
| Split | Clips |
|---|---|
| Train | 3,207 (28.9%) |
| Dev | - |
| Test | 623 (5.6%) |
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.
The text have been taken from Gojri story books, folk tales, Islamic studies and from course books.
Validated sentences: 3,852
| Category | Count |
|---|---|
| Unvalidated sentences | 2 |
| Pending sentences | 2 |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 3,854 sentences: 3,852 validated and 2 unvalidated (2 pending review, 0 rejected), with 0 reported for review.
Perso-Arabic script
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
There follows a randomly selected sample of five sentences from the corpus.
کاہڈ وہ بے مر گیو
ایک دھیاڑے دیکھیو
راکھاں اس کول پوہچیا
اُت مُڑ کے نیہہ چلسوں گی
فوج کا افسر نے انھ لوکاں کی خذمت واسطے اپنا جوان چلایا
Islamic studies Gojri stories
| Source | Sentences |
|---|---|
| Short stories | 2,528 (65.6%) |
| self | 1,218 (31.6%) |
| مہارو دین | 105 (2.7%) |
| Other | 1 (0.0%) |
General
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 3 (0.0%) | 3 (42.9%) |
| agriculture_food | Agriculture and Food | - | - |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | - | - |
| history_law_government | History, Law and Government | - | - |
| media_entertainment | Media and Entertainment | - | - |
| nature_environment | Nature and Environment | - | - |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | - | - |
| language_fundamentals | Language Fundamentals | - | - |
Book were collected to create corpus.
There are two special characters in Gojri that must be used to create difference from Urdu, Punjabi, Pahari and Mewati.
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.tsvThe 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.tsvThe 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)
Mumtaz Ahmed Nizam Din Shahid-ur-Rehman
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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.
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