پښتو — Pashto (ps)
This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Pashto [پښتو - ps]. The dataset contains 4802725 clips representing 5284.19 hours of recorded speech (3336.84 hours validated) from 8426 speakers, recorded from a text corpus of 1,930,006 sentences.
Language
Accents
| Code | Accent | Clips | Speakers |
|---|
| - | | 508,634 (10.6%) | 317 (3.8%) |
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 | 25,113 (0.5%) | 37 (0.4%) |
| female_feminine | Female, feminine | 3,051,283 (63.5%) | 280 (3.3%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | 2,687 (0.1%) | 6 (0.1%) |
| - | Unspecified | 1,723,642 (35.9%) | 8,283 (98.3%) |
Gender declared: 3,079,083 of 4,802,725 clips (64.1%), 143 of 8,426 speakers (1.7%)
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 | 552,963 (11.5%) | 212 (2.5%) |
| twenties | Twenties | 2,984,302 (62.1%) | 1,284 (15.2%) |
| thirties | Thirties | 807,740 (16.8%) | 544 (6.5%) |
| fourties | Fourties | 144,771 (3.0%) | 112 (1.3%) |
| fifties | Fifties | 118,335 (2.5%) | 29 (0.3%) |
| sixties | Sixties | 2,812 (0.1%) | 9 (0.1%) |
| seventies | Seventies | 92 (0.0%) | 2 (0.0%) |
Age declared: 4,611,015 of 4,802,725 clips (96.0%), 1,132 of 8,426 speakers (13.4%)
Data splits for modelling
Clip buckets
| Bucket | Clips |
|---|
| Validated | 3,032,803 (63.1%) |
| Invalidated | 207,105 (4.3%) |
| Other | 1,562,817 (32.5%) |
Training splits
| Split | Clips |
|---|
| Train | 237,118 (7.8%) |
| Dev | 15,549 (0.5%) |
| Test | 15,549 (0.5%) |
Training split coverage: 268,216 of 3,032,803 validated clips (8.8%)
The dataset contains 3032803 validated, 207105 invalidated, and 1562817 unresolved clips. The average clip duration is 3.961 seconds.
Text corpus
Validated sentences: 1,207,228
| Category | Count |
|---|
| Unvalidated sentences | 722,778 |
| Pending sentences | 719,886 |
| Rejected sentences | 2,892 |
| Reported sentences | 6,213 |
The corpus contains 1,930,006 sentences: 1,207,228 validated and 722,778 unvalidated (719,886 pending review, 2,892 rejected), with 6,213 reported for review.
Sample
There follows a randomly selected sample of five sentences from the corpus.
- • ځان ته بيا شروع کړه څه رښتیا درواغ؛
- باسواده نجونې لوړو اهدافو ته رسیږي.
- علم د فکر د ازادۍ تر ټولو لویه وسیله ده
- نيمگړي ژوند ته د بقا ښکلي نغمه مي راوړه!
- که سجده د ژوند مقصد دی؛
Sources
| Source | Sentences |
|---|
| cc.o | 280,966 (23.3%) |
| خپله | 148,066 (12.3%) |
| Self Citation | 126,082 (10.4%) |
| cc0 | 70,365 (5.8%) |
| نقیب | 56,239 (4.7%) |
| Na.Q | 49,616 (4.1%) |
| ځان اقتباس | 38,832 (3.2%) |
| قریشي | 36,746 (3.0%) |
| self citation | 33,401 (2.8%) |
| Other | 366,882 (30.4%) |
Text domains
| Code | Domain | Clips | Speakers |
|---|
| general | General | 663,858 (13.8%) | 5,843 (69.3%) |
| agriculture_food | Agriculture and Food | 41,785 (0.9%) | 1,732 (20.6%) |
| automotive_transport | Automotive and Transport | 6,514 (0.1%) | 688 (8.2%) |
| finance | Finance | 10,629 (0.2%) | 721 (8.6%) |
| service_retail | Service and Retail | 25,806 (0.5%) | 1,144 (13.6%) |
| healthcare | Healthcare | 92,721 (1.9%) | 1,585 (18.8%) |
| history_law_government | History, Law and Government |
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 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 here
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 (pending or rejected)
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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.
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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
