Common Voice Scripted Speech 25.0 - Southern Pastaza Quechua
License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 3/22/2026
Format: MP3
Size: 314.23 MB
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Description
A collection of read speech recordings in Southern Pastaza Quechua (qup).
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
qup — Southern Pastaza Quechua (qup)
This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Southern Pastaza Quechua [qup - qup]. The dataset contains 9668 clips representing 15.92 hours of recorded speech (11.86 hours validated) from 15 speakers, recorded from a text corpus of 991 sentences.
Language
Southern Pastaza Quechua, identified by the ISO 639-3: qup, belongs to the Quechua II group. Pastaza River crosses the borderline between Perú and Ecuador, the native speakers of this dialect influence and are influenced by Quechua dialects spoken in Ecuador and also for other neighboring Amazonian languages. Migration means that this language also is spoken in San Lorenzo, Yurimaguas and Iquitos cities in the Peruvian Amazon rainforest.
Accents
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 1,989 (20.6%) | 3 (20.0%) |
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 | - | - |
| female_feminine | Female, feminine | 2,011 (20.8%) | 3 (20.0%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 7,657 (79.2%) | 12 (80.0%) |
Gender declared: 2,011 of 9,668 clips (20.8%), 3 of 15 speakers (20.0%)
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 | - | - |
| twenties | Twenties | 1,021 (10.6%) | 2 (13.3%) |
| thirties | Thirties | 6,925 (71.6%) | 9 (60.0%) |
| fourties | Fourties | - | - |
| fifties | Fifties | 990 (10.2%) | 1 (6.7%) |
| sixties | Sixties | - | - |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 732 (7.6%) | 3 (20.0%) |
Age declared: 8,936 of 9,668 clips (92.4%), 12 of 15 speakers (80.0%)
Data splits for modelling
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 7,202 (74.5%) |
| Invalidated | 2 (0.0%) |
| Other | 2,464 (25.5%) |
Training splits
| Split | Clips |
|---|---|
| Train | 449 (6.2%) |
| Dev | 288 (4.0%) |
| Test | 254 (3.5%) |
Training split coverage: 991 of 7,202 validated clips (13.8%)
The dataset contains 7202 validated, 2 invalidated, and 2464 unresolved clips. The average clip duration is 5.932 seconds.
Text corpus
The average length of sentences is 6 tokens (40 characters).
Validated sentences: 991
| Category | Count |
|---|---|
| Unvalidated sentences | - |
| Pending sentences | - |
| Rejected sentences | - |
| Reported sentences | 4 |
The corpus contains 991 sentences: 991 validated and 0 unvalidated (0 pending review, 0 rejected), with 4 reported for review.
Writing system
Quechua language is written in the Latin script. All Quechua dialects form 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.
Achuchu wawayni masamuraka rupami.
Juan fiestapi achka runakuna machashpa pakarinahun.
Sinchi wayraka kaspita urmachihushpan nitiwashka.
Juanaka Manuelpa wawanta kusayarka.
Shuk wawki awamanta urmashpan kallayashka.
Sources
Sentences were collected by Mr. Pedro Ricce and Mr. Franklin Espinoza
| Source | Sentences |
|---|---|
| Franklin Espinoza (self) | 500 (50.5%) |
| Pedro Ricce (self) | 491 (49.5%) |
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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Community links
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Acknowledgements
Datasheet authors
Luis Camacho
Citation guidelines
If you use this dataset in your research, please cite the following publication:
@article{Camacho_2024,
title ={Automating the Proposition of Neologisms for the Quechua Language},
volume ={54}, DOI={10.1017/S0025100324000227},
number ={3},
journal ={Journal of the International Phonetic Association},
author ={Camacho, Luis},
year ={2024},
pages ={922–938}}
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