Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 229.70 MB
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A collection of read speech recordings in Yadgha (ydg).
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.
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.
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
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 | - | - |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 11,463 (100.0%) | 17 (100.0%) |
Gender declared: 0 of 11,463 clips (0.0%), 0 of 17 speakers (0.0%)
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 | - | - |
| twenties | Twenties | - | - |
| thirties | Thirties | 1,306 (11.4%) | 1 (5.9%) |
| fourties | Fourties | - | - |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 10,157 (88.6%) | 17 (100.0%) |
Age declared: 1,306 of 11,463 clips (11.4%), 0 of 17 speakers (0.0%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 10,642 (92.8%) |
| Invalidated | 9 (0.1%) |
| Other | 812 (7.1%) |
Training splits
| Split | Clips |
|---|---|
| Train | 1,445 (13.6%) |
| Dev | - |
| Test | 353 (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.
The text came from my own writing. The number of sentences are 2000.
Validated sentences: 1,937
| Category | Count |
|---|---|
| Unvalidated sentences | 169 |
| Pending sentences | 155 |
| Rejected sentences | 14 |
| Reported sentences | - |
The corpus contains 2,106 sentences: 1,937 validated and 169 unvalidated (155 pending review, 14 rejected), with 0 reported for review.
The writing of Yadgha language is Perso-Arabic, develop by the community with support of Forum for language initiatives, a few years back.
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
There follows a randomly selected sample of five sentences from the corpus.
ژے ون کہ پیستیت ڤے من گپ چے دے
وئے ڤؤ ݰیو آڤزدو
وف المین خیال ڤئی
دے بیکارگی لامے خوشچئی آلو آست نیشت
دے گونج کرغیلان ای ڤیو
I wrote sentences are my own. There is very few written material of the language. Those are world list and alphabet book.
| Source | Sentences |
|---|---|
| Self | 1,645 (84.9%) |
| تان جملہ | 277 (14.3%) |
| Other | 15 (0.8%) |
General
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.
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.tsvThe 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.tsvThe 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)
Common Voice Community
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