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Release Date: 9/17/2026
Format: MP3
Size: 448.96 MB
A collection of read speech recordings in Indus Kohistani (اباسیْن کوستَیں).
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.
mvy)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Indus Kohistani [اباسیْن کوستَیں - mvy]. The dataset contains 18485 clips representing 24.6 hours of recorded speech (22.1 hours validated) from 57 speakers, recorded from a text corpus of 6,856 sentences.
Indus Kohistani is an Indo-Aryan language spoken in District Lower Kohistan, Upper Kohistan, Gilgit Baltistan and other parts of Pakistan. There are few books written and published in this language. It is mainly a verbal language but currently young generation has started this language at social media platform and started to write in it.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 2,910 (15.7%) | 7 (12.3%) |
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 | 21 (0.1%) | 2 (3.5%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 18,464 (99.9%) | 55 (96.5%) |
Gender declared: 21 of 18,485 clips (0.1%), 2 of 57 speakers (3.5%)
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 | 64 (0.3%) | 1 (1.8%) |
| twenties | Twenties | 7,302 (39.5%) | 13 (22.8%) |
| thirties | Thirties | 8,716 (47.2%) | 11 (19.3%) |
| fourties | Fourties | 1,090 (5.9%) | 5 (8.8%) |
| fifties | Fifties | 586 (3.2%) | 1 (1.8%) |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 727 (3.9%) | 45 (78.9%) |
Age declared: 17,758 of 18,485 clips (96.1%), 12 of 57 speakers (21.1%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 16,612 (89.9%) |
| Invalidated | 570 (3.1%) |
| Other | 1,303 (7.0%) |
Training splits
| Split | Clips |
|---|---|
| Train | 2,558 (15.4%) |
| Dev | 1,948 (11.7%) |
| Test | 2,076 (12.5%) |
Training split coverage: 6,582 of 16,612 validated clips (39.6%)
The dataset contains 16612 validated, 570 invalidated, and 1303 unresolved clips. The average clip duration is 4.791 seconds.
Corpus contains more 6500 sentences from different open source documents or from published books of different authors with their permission and consent. Most of them were submitted to a local organisation which then forwarded to Common voice.
Validated sentences: 6,635
| Category | Count |
|---|---|
| Unvalidated sentences | 221 |
| Pending sentences | 218 |
| Rejected sentences | 3 |
| Reported sentences | 90 |
The corpus contains 6,856 sentences: 6,635 validated and 221 unvalidated (218 pending review, 3 rejected), with 90 reported for review.
Perso-Arabic script
ا ب بھ پ پھ ت تھ ٹ ٹھ ث ج جھ چ جھ ڇ ڇھ ح خ څ څھ د دھ ڈ ڈھ ذ ر رھ ڑ ز زھ ژ ژھ ڙ ڙھ س ش ݜ ص ض ط ظ ع غ ف ق ک کھ گ گھ ل لھ م مھ ن نھ ݨ و ہ ء ی ې ے
There follows a randomly selected sample of five sentences from the corpus.
| Source | Sentences |
|---|---|
| Warya Usool e Fiqha | 1,203 (18.4%) |
| Column for Magazine Shaari(Draft) | 910 (13.9%) |
| Sawaat Paighambar | 740 (11.3%) |
| Desi Ilaaja (Draft) | 707 (10.8%) |
| Panj Surah Translation | 497 (7.6%) |
| Column for Social Media | 410 (6.3%) |
| Story (Draft) | 368 (5.6%) |
| self | 332 (5.1%) |
| Indus Kohistani Ilm e Balagha & Ilm e Bayan | 138 (2.1%) |
| Other | 1,221 (18.7%) |
General, Agriculture and Food, Automotive and Transport, Healthcare, History, Law and Governmant, Media and Entertainment, Nature and Environment, News and Current Affairs, Technology and Robotics, Language Fundamentals (e.g. Digits, Letters, Money)
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 108 (0.6%) | 16 (28.1%) |
| agriculture_food | Agriculture and Food | 33 (0.2%) | 14 (24.6%) |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | - | - |
| history_law_government | History, Law and Government | 78 (0.4%) | 18 (31.6%) |
| media_entertainment | Media and Entertainment | 11 (0.1%) | 9 (15.8%) |
| nature_environment | Nature and Environment | 7 (0.0%) | 7 (12.3%) |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | 9 (0.0%) | 9 (15.8%) |
| 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 userpath - relative path of the audio filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_votes - number of people who said audio matches the textdown_votes - number of people who said audio does not match textage - age of the speaker1gender - gender of the speaker1accents - accents of the speaker1variant - variant of the language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe validated_sentences.tsv file contains one row per validated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromis_used - whether the sentence is still in circulation for recordingclips_count - number of clips recorded for this sentenceunvalidated_sentences.tsvThe unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromup_votes - number of upvotes the sentence receiveddown_votes - number of downvotes the sentence receivedstatus - 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