Common Voice Scripted Speech 25.0 - Puno Quechua
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 3/22/2026
Format: MP3
Size: 687.85 MB
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Description
A collection of read speech recordings in Puno Quechua (Punu qhichwa).
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
Punu qhichwa — Puno Quechua (qxp)
This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Puno Quechua [Punu qhichwa - qxp]. The dataset contains 25382 clips representing 34.81 hours of recorded speech (31.16 hours validated) from 81 speakers, recorded from a text corpus of 2,070 sentences.
Language
Puno Quechua, identified by the ISO 639-3: qxp, belongs to the Quechua II group. The 2017 National Census in Peru estimates approximately 474203 speaker of Puno Quechua, predominantly in the Puno region of Peru.
Accents
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 8,919 (35.1%) | 20 (24.7%) |
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 | 384 (1.5%) | 1 (1.2%) |
| female_feminine | Female, feminine | 17,836 (70.3%) | 57 (70.4%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 7,162 (28.2%) | 26 (32.1%) |
Gender declared: 18,220 of 25,382 clips (71.8%), 55 of 81 speakers (67.9%)
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 | 251 (1.0%) | 1 (1.2%) |
| twenties | Twenties | 13,592 (53.5%) | 35 (43.2%) |
| thirties | Thirties | 6,797 (26.8%) | 23 (28.4%) |
| fourties | Fourties | 2,333 (9.2%) | 7 (8.6%) |
| fifties | Fifties | 1,943 (7.7%) | 3 (3.7%) |
| sixties | Sixties | 180 (0.7%) | 3 (3.7%) |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 286 (1.1%) | 13 (16.0%) |
Age declared: 25,096 of 25,382 clips (98.9%), 68 of 81 speakers (84.0%)
Data splits for modelling
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 22,727 (89.5%) |
| Invalidated | 2,572 (10.1%) |
| Other | 83 (0.3%) |
Training splits
| Split | Clips |
|---|---|
| Train | 709 (3.1%) |
| Dev | 679 (3.0%) |
| Test | 679 (3.0%) |
Training split coverage: 2,067 of 22,727 validated clips (9.1%)
The dataset contains 22727 validated, 2572 invalidated, and 83 unresolved clips. The average clip duration is 4.937 seconds.
Text corpus
Validated sentences: 2,067
| Category | Count |
|---|---|
| Unvalidated sentences | 3 |
| Pending sentences | 3 |
| Rejected sentences | - |
| Reported sentences | 197 |
The corpus contains 2,070 sentences: 2,067 validated and 3 unvalidated (3 pending review, 0 rejected), with 197 reported for review.
Writing system
The writting system for the Puno Quechua language is not formaly described, however there are some resources that can be mentioned. Linguistic resources for Puno Quechua, as cataloged by Glottolog puno1238, are predominantly from the 1963–1993 period, with limited publications post-2005. These materials offer critical insights into the Puno Quechua language's grammatical framework. Like all Quechua languages, Puno Quechua forms words by sequentially adding suffixes to a root and follows a Subject-Object-Verb (SOV) word order.
Sample
There follows a randomly selected sample of five sentences from the corpus.
Chayqa mana pantay hampin.
P'ukuykita apakamuy.
Dumitila ¿Kay rawk'anata munanki?
Kukaq raphiqa, uyantaq yana q'umir, ukhuntaq yuraq q'umir.
Taytay wasinta musuqyachin
Sources
The sentences were created by native speakers, whose uploaded the sentences into Common Voice.
| Source | Sentences |
|---|---|
| Elwin Huaman | 1,671 (80.8%) |
| Jorge Huaman Quispe | 394 (19.1%) |
| Other | 2 (0.1%) |
Text domains
The domain of the sentences are under:
General
Agriculture and Food
Nature and Environment
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 19,798 (78.0%) | 80 (98.8%) |
| agriculture_food | Agriculture and Food | 25,257 (99.5%) | 81 (100.0%) |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | 111 (0.4%) | 31 (38.3%) |
| service_retail | Service and Retail | - | - |
| healthcare | Healthcare | 19,834 (78.1%) | 81 (100.0%) |
| history_law_government | History, Law and Government | 1,342 (5.3%) | 61 (75.3%) |
| media_entertainment | Media and Entertainment | - | - |
| nature_environment | Nature and Environment | 9,752 (38.4%) | 77 (95.1%) |
| news_current_affairs | News and Current Affairs | 161 (0.6%) | 42 (51.9%) |
| technology_robotics | Technology and Robotics | - | - |
| language_fundamentals | Language Fundamentals | - | - |
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)
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Acknowledgements
Datasheet authors
Elwin Huaman
Citation guidelines
If you use this data in your research, please cite the following paper:
@inproceedings{HuamanHHQ25,
author = {Elwin Huaman and
Jorge Luis Huaman and
Wendi Huaman and
Ninfa Quispe},
title = {Quechua Speech Datasets in Common Voice: The Case of Puno Quechua},
booktitle = {Information Management and Big Data - 12th Annual International Conference, SIMBig 2025, Lima, Peru, October 29-31, 2025, Proceedings},
series = {Communications in Computer and Information Science},
publisher = {Springer},
year = {2025},
}
Funding
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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