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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 204.74 MB
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A collection of read speech recordings in Shina (شِینا).
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.
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.
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.
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 | 150 (1.7%) | 1 (2.5%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 8,872 (98.3%) | 39 (97.5%) |
Gender declared: 150 of 9,022 clips (1.7%), 1 of 40 speakers (2.5%)
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 | 191 (2.1%) | 6 (15.0%) |
| thirties | Thirties | 7,361 (81.6%) | 4 (10.0%) |
| fourties | Fourties | 5 (0.1%) | 1 (2.5%) |
| fifties | Fifties | - | - |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 1,465 (16.2%) | 32 (80.0%) |
Age declared: 7,557 of 9,022 clips (83.8%), 8 of 40 speakers (20.0%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 8,876 (98.4%) |
| Invalidated | 143 (1.6%) |
| Other | 3 (0.0%) |
Training splits
| Split | Clips |
|---|---|
| Train | 1,407 (15.9%) |
| Dev | 862 (9.7%) |
| Test | 984 (11.1%) |
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.
It mostly comes from textbooks, and social media platforms. There are one thousand sentences.
Validated sentences: 3,300
| Category | Count |
|---|---|
| Unvalidated sentences | 4 |
| Pending sentences | 4 |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 3,304 sentences: 3,300 validated and 4 unvalidated (4 pending review, 0 rejected), with 0 reported for review.
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/
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
There follows a randomly selected sample of five sentences from the corpus.
اَش بِیلا مُوئی گہ تُوئی سے ژا ریکارڈنگ تھیوں ہانس، مُتو کوئی نے تھینا
زیسئی انشُپ پونی مجا پھت بیلی۔
الا ریکارڈنگ تھِیوں ہَوں دا نُش؟
چیک سے ریکارڈ گہ تھیا۔
مُو گوجے اِیفالوس گی ٹِیکی کھِیاس۔
| Source | Sentences |
|---|---|
| Self | 2,312 (70.3%) |
| self | 974 (29.6%) |
| Other | 3 (0.1%) |
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 4 (0.0%) | 4 (10.0%) |
| agriculture_food | Agriculture and Food | - | - |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | - | - |
| history_law_government | History, Law and Government | - | - |
| media_entertainment | Media and Entertainment | - | - |
| nature_environment | Nature and Environment | - | - |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | - | - |
| language_fundamentals | Language Fundamentals | - | - |
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