Common Voice Scripted Speech 25.0 - Palula

پالولا — Palula (phl)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Palula [پالولا - phl]. The dataset contains 21142 clips representing 28.9 hours of recorded speech (21.26 hours validated) from 20 speakers, recorded from a text corpus of 5,929 sentences.

Language

Palula is an Indo-Aryan language, specifically a branch of the Dardic group, closely related to Shina. Palula is spoken in several regions of Chitral District, including Ashret, Biori, Kalkatak, and parts of Shishi Koh. Beyond Chitral, it is also spoken in Gumandan (Dir Kohistan) and Sao village in Kunar Province, Afghanistan. The estimated number of speakers ranges between 20,000 and 25,000.

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: 20 of 21,142 clips (0.1%), 1 of 20 speakers (5.0%)

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: 19,975 of 21,142 clips (94.5%), 12 of 20 speakers (60.0%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 4,732 of 15,558 validated clips (30.4%)

The dataset contains 15558 validated, 69 invalidated, and 5515 unresolved clips. The average clip duration is 4.921 seconds.

Text corpus

The Palula text corpus has been systematically compiled through fieldwork conducted within the Palula-speaking community, encompassing a diverse range of speakers across age groups and social backgrounds. Data was gathered through structured and semi-structured interviews, oral storytelling sessions, and community-based linguistic elicitation. All recordings were carefully transcribed.The corpus comprises 4000 sentences.

Validated sentences: 4,745

The corpus contains 5,929 sentences: 4,745 validated and 1,184 unvalidated (1,184 pending review, 0 rejected), with 0 reported for review.

Writing system

Palula orthography based on the Arabic writing system

Symbol table

ا ب پ ت ث ٹ ج چ ڇ څ ح خ د ڈ ذ ر ز ژ ڙ س ش ݜ ص ض ط ظ ع غ ف ق ک گ ل م ن ں ݨ و ہ ھ ء ی ے

Sample

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

1. سوۡ سبزیۡ منڈیۡ تھےۡ گُوم۔

2. تھی خو شاید مہ دی اُمید نئینی۔

3. گھئِیمی ڇِھیر بیۡ کام بِھلوۡ۔خلکہ دُئی زھئی مُزدُریۡ تھئینی تھےۡ گِیا۔

4. نتجہ نہ نکھاتوۡ ہِنوۡ۔

5. میجرہ کُݨاکوم ݜاوا اُترپئینی مُقابِلہ تھوؤلوۡ۔

Sources

• Palula Matli (Proverbs) – Author: Naseem Haider

• Palula Textbook – Author: Naseem Haider

• Palula Gul-Dasta Ashaar (Poetry) – Author: Naseem Haider

• Palula–Urdu–English Conversation Guide – Author: Naseem Haider

• Palula Folk Tales – Author: Naseem Haider

Text domains

General, Agriculture and Food, Healthcare, History, Law and Governmant, Media and Entertainment, Nature and Environment

Processing

The process involved collecting texts, stories, and proverbs through community-based audio recordings. These recordings were transcribed, and selected sentences were curated for inclusion in the Common Voice dataset. The finalized dataset was then uploaded and subsequently recorded by multiple speakers.

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

• Palula Community Welfare Organization website

• 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

• Naseem Haider

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