Common Voice Scripted Speech 25.0 - Yadgha

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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: 229.70 MB


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Description

A collection of read speech recordings in Yadgha (ydg).

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

ydg — Yadgha (ydg)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Yadgha [ydg - ydg]. The dataset contains 11463 clips representing 11.44 hours of recorded speech (10.62 hours validated) from 17 speakers, recorded from a text corpus of 2,106 sentences.

Language

Yadgha (ISO 639-3: ydg), also known as Lutkohiwar, is spoken in the Lutkoh Valley, situated approximately 46 km west of Chitral town. The Yadgha people trace their origins to the Munjan valley in Afghanistan, having migrated to the Lutkoh Valley 31 generations ago. The Yadgha community consists of around 6,000 speakers, although this number is gradually decreasing. Speakers of the language are shifting to Khowar, the lingua franca of Chitral valley. Yadgha is a written language, and several poets compose poetry in it. However, limited literacy activities are currently underway to support the language's preservation

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, feminine--
transgenderTransgender--
non-binaryNon-binary--
do_not_wish_to_sayPrefer not to say--
-Unspecified11,463 (100.0%)17 (100.0%)

Gender declared: 0 of 11,463 clips (0.0%), 0 of 17 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--
twentiesTwenties--
thirtiesThirties1,306 (11.4%)1 (5.9%)
fourtiesFourties--
fiftiesFifties--
sixtiesSixties--
seventiesSeventies--
eightiesEighties--
ninetiesNineties--
-Unspecified10,157 (88.6%)17 (100.0%)

Age declared: 1,306 of 11,463 clips (11.4%), 0 of 17 speakers (0.0%)

Data splits for modelling

Clip buckets

BucketClips
Validated10,642 (92.8%)
Invalidated9 (0.1%)
Other812 (7.1%)

Training splits

SplitClips
Train1,445 (13.6%)
Dev-
Test353 (3.3%)

Training split coverage: 1,798 of 10,642 validated clips (16.9%)

The dataset contains 10642 validated, 9 invalidated, and 812 unresolved clips. The average clip duration is 3.596 seconds.

Text corpus

The text came from my own writing. The number of sentences are 2000.

Validated sentences: 1,937

CategoryCount
Unvalidated sentences169
Pending sentences155
Rejected sentences14
Reported sentences-

The corpus contains 2,106 sentences: 1,937 validated and 169 unvalidated (155 pending review, 14 rejected), with 0 reported for review.

Writing system

The writing of Yadgha language is Perso-Arabic, develop by the community with support of Forum for language initiatives, a few years back.

Symbol table

آ ا ب پ ت ٹ ث ج چ ح خ ݯ ځ څ ݮ د ذ ر ز ڑ ژ ݱ س ش ݰ ص ض ط ظ ع غ ف ڤ ک گ ګ م ن ں و ہ ة ھ ء ی ے

Sample

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

  1. ژے ون کہ پیستیت ڤے من گپ چے دے

  2. وئے ڤؤ ݰیو آڤزدو

  3. وف المین خیال ڤئی

  4. دے بیکارگی لامے خوشچئی آلو آست نیشت

  5. دے گونج کرغیلان ای ڤیو

Sources

I wrote sentences are my own. There is very few written material of the language. Those are world list and alphabet book.

SourceSentences
Self1,645 (84.9%)
تان جملہ277 (14.3%)
Other15 (0.8%)

Text domains

General

Processing

I wrote the sentences my own. I am a poet of the language and usually do write my poetry. Using the skill I develop the corpus that comprised on various general topics.

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