Common Voice Scripted Speech 25.0 - Dawoodi

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/22/2026

Format: MP3

Size: 206.92 MB


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Description

A collection of read speech recordings in Dawoodi (داوُدِݵ).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

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.

Processes

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.

Metadata

داوُدِݵ — Dawoodi (dmk)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Dawoodi [داوُدِݵ - dmk]. The dataset contains 10779 clips representing 10.31 hours of recorded speech (10.18 hours validated) from 10 speakers, recorded from a text corpus of 4,333 sentences.

Language

The Dawoodi language is one of the rarest and most endangered languages of northern Pakistan. It is spoken by the Dawoodi community, a small ethnic group mainly found in the Hunza and Gilgit regions of Gilgit-Baltistan.

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.

CodeGenderClipsSpeakers
male_masculineMale, masculine--
female_feminineFemale, feminine486 (4.5%)1 (10.0%)
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say--
-Unspecified10,293 (95.5%)10 (100.0%)

Gender declared: 486 of 10,779 clips (4.5%), 0 of 10 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.

CodeAgeClipsSpeakers
teensTeens--
twentiesTwenties108 (1.0%)1 (10.0%)
thirtiesThirties1,588 (14.7%)1 (10.0%)
fourtiesFourties8,698 (80.7%)3 (30.0%)
fiftiesFifties--
sixtiesSixties--
seventiesSeventies--
eightiesEighties--
ninetiesNineties--
-Unspecified385 (3.6%)9 (90.0%)

Age declared: 10,394 of 10,779 clips (96.4%), 1 of 10 speakers (10.0%)

Data splits for modelling

Clip buckets

BucketClips
Validated10,648 (98.8%)
Invalidated110 (1.0%)
Other21 (0.2%)

Training splits

SplitClips
Train3,200 (30.1%)
Dev-
Test938 (8.8%)

Training split coverage: 4,138 of 10,648 validated clips (38.9%)

The dataset contains 10648 validated, 110 invalidated, and 21 unresolved clips. The average clip duration is 3.445 seconds.

Text corpus

It has been derived from different Indo-Aryan languages. No any idea.

Validated sentences: 4,139

CategoryCount
Unvalidated sentences194
Pending sentences194
Rejected sentences-
Reported sentences732

The corpus contains 4,333 sentences: 4,139 validated and 194 unvalidated (194 pending review, 0 rejected), with 732 reported for review.

Writing system

Perco-arabic writing system

Symbol table

ا ݳ آ ب پ ت ٹ ث ج چ ح خ ݼ څ د ڈذڎ ر ڑ ز ژ س ش ݽ ص ض ڞ ط ظ ع غ ف ق ک گ ݣ ل م ن ں و ݸ ہ ۃ ی ݵ ݷ ے ݺ

Sample

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

  1. خوشی بری نعمت چھی

  2. راکا میے گھرݵ اسیر چھا

  3. رَݸرݸ منتا

  4. خوشی ہمشہ کامیابی آصول ثھا

  5. جاگہ

Sources

Myself

SourceSentences
self4,106 (99.2%)
Other33 (0.8%)

Text domains

General

CodeDomainClipsSpeakers
generalGeneral2 (0.0%)2 (20.0%)
agriculture_foodAgriculture and Food2 (0.0%)2 (20.0%)
automotive_transportAutomotive and Transport--
financeFinance--
service_retailService and Retail--
healthcareHealthcare2 (0.0%)2 (20.0%)
history_law_governmentHistory, Law and Government--
media_entertainmentMedia and Entertainment--
nature_environmentNature and Environment--
news_current_affairsNews and Current Affairs--
technology_roboticsTechnology and Robotics--
language_fundamentalsLanguage Fundamentals--

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

Discussions

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Acknowledgements

Datasheet authors

Common Voice Community

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