Common Voice Scripted Speech 23.0 - Shina

شِینا — Shina (scl)

This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset for Shina (scl). The dataset contains 11 hours of recorded speech (11 hours validated) from 39 speakers.

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 distribution of age and gender.

Gender

Self-declared gender information, percentage refers to the number of clips annotated with this gender.

Age

Self-declared age information, percentage refers to the number of clips annotated with this age band.

Text corpus

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

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۔ ووئی پییَموس۔
2. چہ ڇووں ہوں۔
3. راتی ڙینگی ہِیں۔
4. اوشی آلی۔
5. والو کھیݨ پھݜ بِیلو۔

Automatic random samples

کوتے کونڈدیوں ہانس وا ڙا۔
ا چھا، مُوسے استور ہوں بے تھے کال تھالوس، اٹینڈ نے تھو۔
کرومو شِداٹو بَٹھیئی ٹِیکیو شِداٹو نے بٹھئیی۔
پر آناؤ کھینیکے نی ولایت علی گہ سورانی تَش بونارے گالو۔
روزو   موزینی  ڈیر نوشِیں۔

Community links

• Common Voice translators on Pontoon

Datasheet authors

Common Voice Community

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.