Common Voice Scripted Speech 25.0 - Shina

شِینا — Shina (scl)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Shina [شِینا - scl]. The dataset contains 9022 clips representing 10.2 hours of recorded speech (10.03 hours validated) from 40 speakers, recorded from a text corpus of 3,304 sentences.

Language

Shina language is one of the major languages of Gilgit Baltistan Pakistan. It's spoken in Gilgit, Astore, Chilas, Kohistan and some areas in Sakrdu Baltistan. It is also spoken in some areas of India. Gilgiti and Astori dialects are considered to be its major dialects. The dialect spoken in Gilgit is known as the main and standard dialect.

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: 150 of 9,022 clips (1.7%), 1 of 40 speakers (2.5%)

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: 7,557 of 9,022 clips (83.8%), 8 of 40 speakers (20.0%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 3,253 of 8,876 validated clips (36.6%)

The dataset contains 8876 validated, 143 invalidated, and 3 unresolved clips. The average clip duration is 4.072 seconds.

Text corpus

It mostly comes from textbooks, and social media platforms. There are one thousand sentences.

Validated sentences: 3,300

The corpus contains 3,304 sentences: 3,300 validated and 4 unvalidated (4 pending review, 0 rejected), with 0 reported for review.

Writing system

The Shina language in Gilgit-Baltistan, Pakistan, is written in a variation of the Arabic script. This script is reported to be adapted to represent the unique sounds of the Shina language, with additional letters such as:

• ݜ for /ʂ/

• ڙ for /ʐ/

• څ for /ts/

• ڇ for /ʈʂ/

• ݨ for /ɳ/

Symbol table

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

Sample

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

1. اَش بِیلا مُوئی گہ تُوئی سے ژا ریکارڈنگ تھیوں ہانس، مُتو کوئی نے تھینا

2. زیسئی انشُپ پونی مجا پھت بیلی۔

3. الا ریکارڈنگ تھِیوں ہَوں دا نُش؟

4. چیک سے ریکارڈ گہ تھیا۔

5. مُو گوجے اِیفالوس گی ٹِیکی کھِیاس۔

Sources

Text domains

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

• 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

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