Common Voice Scripted Speech 25.0 - Kurmanji Kurdish
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 1.91 GB
Share
Description
A collection of read speech recordings in Kurmanji Kurdish (Kurdî (Kurmancî)).
Specifics
Considerations
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.
Processes
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.
Metadata
Kurdî (Kurmancî) — Kurmanji Kurdish (kmr)
This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Kurmanji Kurdish [Kurdî (Kurmancî) - kmr]. The dataset contains 92371 clips representing 106.76 hours of recorded speech (75.7 hours validated) from 690 speakers, recorded from a text corpus of 18,162 sentences.
Language
Accents
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 13,851 (15.0%) | 35 (5.1%) |
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.
| Code | Gender | Clips | Speakers |
|---|---|---|---|
| male_masculine | Male, masculine | 37,933 (41.1%) | 148 (21.4%) |
| female_feminine | Female, feminine | 8,421 (9.1%) | 35 (5.1%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 46,017 (49.8%) | 627 (90.9%) |
Gender declared: 46,354 of 92,371 clips (50.2%), 63 of 690 speakers (9.1%)
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.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | 866 (0.9%) | 7 (1.0%) |
| twenties | Twenties | 32,456 (35.1%) | 105 (15.2%) |
| thirties | Thirties | 8,558 (9.3%) | 63 (9.1%) |
| fourties | Fourties | 2,856 (3.1%) | 21 (3.0%) |
| fifties | Fifties | 4,081 (4.4%) | 8 (1.2%) |
| sixties | Sixties | 60 (0.1%) | 1 (0.1%) |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 43,494 (47.1%) | 610 (88.4%) |
Age declared: 48,877 of 92,371 clips (52.9%), 80 of 690 speakers (11.6%)
Data splits for modelling
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 65,501 (70.9%) |
| Invalidated | 2,637 (2.9%) |
| Other | 24,233 (26.2%) |
Training splits
| Split | Clips |
|---|---|
| Train | 5,603 (8.6%) |
| Dev | 4,182 (6.4%) |
| Test | 4,174 (6.4%) |
Training split coverage: 13,959 of 65,501 validated clips (21.3%)
The dataset contains 65501 validated, 2637 invalidated, and 24233 unresolved clips. The average clip duration is 4.161 seconds.
Text corpus
Validated sentences: 17,030
| Category | Count |
|---|---|
| Unvalidated sentences | 1,132 |
| Pending sentences | 1,115 |
| Rejected sentences | 17 |
| Reported sentences | 1,074 |
The corpus contains 18,162 sentences: 17,030 validated and 1,132 unvalidated (1,115 pending review, 17 rejected), with 1,074 reported for review.
Sample
There follows a randomly selected sample of five sentences from the corpus.
Her du jî dadgerên gelekî jêhatî ne.
Îro pêncşem e.
Lê pê re nedigihaşt.
Samî gelekî doxînsist bû.
Di nava dibistanê de, em her tim refan paqij dikin.
Sources
| Source | Sentences |
|---|---|
| sentence-collector | 16,470 (96.7%) |
| it is my sentence | 226 (1.3%) |
| Other | 334 (2.0%) |
Text domains
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 10 (0.0%) | 8 (1.2%) |
| agriculture_food | Agriculture and Food | 3 (0.0%) | 3 (0.4%) |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | - | - |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | 1 (0.0%) | 1 (0.1%) |
| history_law_government | History, Law and Government | 2 (0.0%) | 2 (0.3%) |
| media_entertainment | Media and Entertainment | 3 (0.0%) | 3 (0.4%) |
| nature_environment | Nature and Environment | 6 (0.0%) | 5 (0.7%) |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | - | - |
| language_fundamentals | Language Fundamentals | 2 (0.0%) | 2 (0.3%) |
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 userpath- relative path of the audio filetext- supposed transcription of the audioup_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 language1segment- if sentence belongs to a custom dataset segment, it will be listed hereprompt_upvotes- number of upvotes the sentence prompt receivedprompt_reports- number of reports the sentence prompt receivedis_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 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 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 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 (pendingorrejected)
Get involved
Community links
Discussions
Contribute
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
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