Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 202.62 MB
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A collection of read speech recordings in Kateviri (کتہ وری).
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.
bsh)This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Kateviri [کتہ وری - bsh]. The dataset contains 6844 clips representing 10 hours of recorded speech (9.89 hours validated) from 14 speakers, recorded from a text corpus of 2,686 sentences.
Kateviri is spoken in Afghanistan's province Noristan and in a few regions in Pakistan (Bumburait, Rumbur, Gobor). The number of speakers of Kateviri is around 40,000.
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 | 6,844 (100.0%) | 14 (100.0%) |
Gender declared: 0 of 6,844 clips (0.0%), 0 of 14 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 | 3,891 (56.9%) | 4 (28.6%) |
| thirties | Thirties | - | - |
| fourties | Fourties | - | - |
| fifties | Fifties | 1,892 (27.6%) | 1 (7.1%) |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 1,061 (15.5%) | 11 (78.6%) |
Age declared: 5,783 of 6,844 clips (84.5%), 3 of 14 speakers (21.4%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 6,765 (98.8%) |
| Invalidated | 45 (0.7%) |
| Other | 34 (0.5%) |
Training splits
| Split | Clips |
|---|---|
| Train | 1,420 (21.0%) |
| Dev | 515 (7.6%) |
| Test | 693 (10.2%) |
Training split coverage: 2,628 of 6,765 validated clips (38.8%)
The dataset contains 6765 validated, 45 invalidated, and 34 unresolved clips. The average clip duration is 5.264 seconds.
The text corpus consists of transcriptions of spontaneous speech recorded from native Noristani speakers in natural conversations. The content includes everyday topics such as family, culture, daily routines, and local traditions. The dataset contains approximately 3000 to 5000 sentences and was collected primarily from speakers in and Bumburet, Rumbur, and Gabor valleys (Pakistan).
Validated sentences: 2,646
| Category | Count |
|---|---|
| Unvalidated sentences | 40 |
| Pending sentences | 40 |
| Rejected sentences | - |
| Reported sentences | 2 |
The corpus contains 2,686 sentences: 2,646 validated and 40 unvalidated (40 pending review, 0 rejected), with 2 reported for review.
Parso Arabic
ا آ ب پ ت ٹ ث ج چ ڄ ح خ څ د ڈ ر ڑ ز ژ ڗ س ش ݜ ص ض ط ظ ع غ ف ق ک گ ݣ ل م ن ݨ ں ݩ و ہ ھ ٴ ی ے
There follows a randomly selected sample of five sentences from the corpus.
کاٹ دمتں نہ وا سہ
تیو اِیموستہ اِجازت تݩع بغیر اینہ جائ پاتہ تے نہ الاش
امرامی تہ وشتویاش تیو رسولہ
شوں معش گڑیستہ سن پل چیراں گوا
آینہ تیو آینہ اوڅ
Recorded spontaneous conversations
| Source | Sentences |
|---|---|
| الہ بولہ | 813 (30.8%) |
| کشولاں وری | 629 (23.8%) |
| کتہ وری کا شعری مجموعہ ارس وری | 441 (16.7%) |
| پرں جیک | 328 (12.4%) |
| ییں وری پول | 233 (8.8%) |
| مسنون دعاؤں کا کتہ وری میں ترجمہ | 67 (2.5%) |
| چیرئ ایات ستہ کتہ وریں ترجمہ | 67 (2.5%) |
| خزینہ | 56 (2.1%) |
| Other | 7 (0.3%) |
General, Agriculture and Food, Media and Entertainment, Nature and Environment, Language Fundamentals (e.g. Digits, Letters, Money)
The recordings were collected from native kate speakers, then manually transcribed. Background noise and silence were removed, and irrelevant parts were excluded. The text was checked for accuracy and aligned with the corresponding audio segments
Yes. It is recommended to apply additional noise reduction, normalize audio levels, and perform a manual review of transcriptions for consistency. For advanced use, forced alignment and phonetic labeling can also improve the dataset quality
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)
Nasir Mansoor
@misc{noristani_dataset_2025,
title ={Noristani Spontaneous Speech Dataset},
author ={Arshad Nasir},
year ={2025},
howpublished ={\url{https://commonvoice.mozilla.org}},
note ={Noristani language corpus for spontaneous speech}}
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