Common Voice Scripted Speech 25.0 - Pahari-Pothwari

phr — Pahari-Pothwari (phr)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Pahari-Pothwari [phr - phr]. The dataset contains 12825 clips representing 14.11 hours of recorded speech (13.97 hours validated) from 63 speakers, recorded from a text corpus of 2,077 sentences.

Language

Pahari-Pothwari is a group of dialects spoken in the Pothohar Plateau of Punjab, Pakistan, and across the border in Azad Jammu and Kashmir (AJK). The name is a combination of two closely related dialect clusters: Pahari (literally "of the hills") and Pothwari (referring to the Pothohar region). Pahari-Pothwari belongs to the Indo-Aryan family of languages. It shares lexical and grammatical similarity with these languages.

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: 3,836 of 12,825 clips (29.9%), 2 of 63 speakers (3.2%)

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: 9,085 of 12,825 clips (70.8%), 7 of 63 speakers (11.1%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 2,072 of 12,695 validated clips (16.3%)

The dataset contains 12695 validated, 120 invalidated, and 10 unresolved clips. The average clip duration is 3.963 seconds.

Text corpus

The dataset comprises a speech corpus totaling 15 hours, containing 2,077 Pahari sentences. The primary source for the corpus was the published books by Dr. Muhammad Saghir Khan, a distinguished literary figure and academician from Rawalakot, Poonch. This was supplemented with a smaller collection of sentences gathered from the daily conversations of native Pahari speakers. The entire set of written sentences was then recorded by 63 native speakers, all of whom are residents of the Poonch region of Azad Jammu and Kashmir.

Validated sentences: 2,077

The corpus contains 2,077 sentences: 2,077 validated and 0 unvalidated (0 pending review, 0 rejected), with 1 reported for review.

Writing system

The writing system used for the corpus is based on the Urdu orthography. The corpus was written using the same Urdu script and follows the right-to-left direction of Urdu.

The Urdu alphabet was utilized for transcription.

Sample

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

1. کوئی آخنا نشہ پانی، کوِئی آخنا وڈیو۔۔۔ کوئی کی کوئی کی

2. پیسے انیں کول کیدوں تھوڑے سے

3. کجیا بخت کری او وی پار گیا

4. تو کی آپے کنے ہنی جلسا

5. عمرانے پتہ سا کہیہ آخنی

Sources

Published books of Dr. Muhammad Saghir Khan. Daily conversation of Pahari speakers.

Text domains

General

Processing

The text was written in Unicode, following the conventions of Urdu orthography.

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

• Dr. Muhammad Saghir Khan

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