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Release Date: 9/17/2026
Format: MP3
Size: 585.08 MB
A collection of read speech recordings in Palula (پالولا).
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.
phl)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Palula [پالولا - phl]. The dataset contains 21142 clips representing 28.9 hours of recorded speech (21.27 hours validated) from 20 speakers, recorded from a text corpus of 5,929 sentences.
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.
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 | 20 (0.1%) | 1 (5.0%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 21,122 (99.9%) | 19 (95.0%) |
Gender declared: 20 of 21,142 clips (0.1%), 1 of 20 speakers (5.0%)
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 | 1,350 (6.4%) | 1 (5.0%) |
| twenties | Twenties | 10,055 (47.6%) | 8 (40.0%) |
| thirties | Thirties | 4,792 (22.7%) | 3 (15.0%) |
| fourties | Fourties | 3,778 (17.9%) | 3 (15.0%) |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 1,167 (5.5%) | 8 (40.0%) |
Age declared: 19,975 of 21,142 clips (94.5%), 12 of 20 speakers (60.0%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 15,563 (73.6%) |
| Invalidated | 69 (0.3%) |
| Other | 5,510 (26.1%) |
Training splits
| Split | Clips |
|---|---|
| Train | 1,945 (12.5%) |
| Dev | 1,408 (9.0%) |
| Test | 1,379 (8.9%) |
Training split coverage: 4,732 of 15,563 validated clips (30.4%)
The dataset contains 15563 validated, 69 invalidated, and 5510 unresolved clips. The average clip duration is 4.921 seconds.
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
| Category | Count |
|---|---|
| Unvalidated sentences | 1,184 |
| Pending sentences | 1,184 |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 5,929 sentences: 4,745 validated and 1,184 unvalidated (1,184 pending review, 0 rejected), with 0 reported for review.
Palula orthography based on the Arabic writing system
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
There follows a randomly selected sample of five sentences from the corpus.
| Source | Sentences |
|---|---|
| self | 3,141 (66.2%) |
| پالولا گلدستہ اشعار | 783 (16.5%) |
| عام | 422 (8.9%) |
| Palula- Urdu- English Conversation | 399 (8.4%) |
General, Agriculture and Food, Healthcare, History, Law and Governmant, Media and Entertainment, Nature and Environment
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | - | - |
| agriculture_food | Agriculture and Food | - | - |
| automotive_transport | Automotive and Transport | 4 (0.0%) | 4 (20.0%) |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | 10 (0.0%) | 6 (30.0%) |
| history_law_government | History, Law and Government | 24 (0.1%) | 5 (25.0%) |
| 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 | - | - |
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.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given userpath - relative path of the audio filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_votes - number of people who said audio matches the textdown_votes - number of people who said audio does not match textage - age of the speaker1gender - gender of the speaker1accents - accents of the speaker1variant - variant of the language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe validated_sentences.tsv file contains one row per validated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromis_used - whether the sentence is still in circulation for recordingclips_count - number of clips recorded for this sentenceunvalidated_sentences.tsvThe unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromup_votes - number of upvotes the sentence receiveddown_votes - number of downvotes the sentence receivedstatus - current status of the sentence (pending or rejected)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