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Task: ASR
Release Date: 3/22/2026
Format: MP3
Size: 698.95 MB
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A collection of spontaneous responses to questions in Puno Quechua (Punu qhichwa).
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.
qxp)This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Puno Quechua [Punu qhichwa - qxp]. The dataset contains 7286 clips representing 35.3 hours of recorded speech (5.18 hours validated) from 110 speakers.
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.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 1,074 | 14.7% |
| Transcribed & Pending | 148 | 2.0% |
| Not transcribed | 6,064 | 83.2% |
| Bucket | Clips | % |
|---|---|---|
| Train | 322 | 4.4% |
| Dev | 388 | 5.3% |
| Test | 364 | 5.0% |
| Unassigned | 6,212 | 85.3% |
Training split coverage: 1,074 of 1,074 transcribed & validated clips (100.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 1,074 | 87.9% |
| Pending | 148 | 12.1% |
| Edited | 20 | 1.6% |
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.
There follows a randomly selected sample of questions used in the corpus.
Kamputa sut'inchay, imachus kan chaykunata.
Imaynatataq qhawanki tecnologíata hamuq watakunapi?
Imamantataq qhaliraq kashanki?
Huqmanta chunkakama yupay.
Ima mikhuykunatan mana mikhuyta munankichu?
There follows a randomly selected sample of transcribed responses from the corpus.
Nuqa hatun Yachay Wasita tukuspa, Punu llaqtapi llank'ayta munani, hinaspapis p'achata qhatuyta munani.
Phishqa qhipa watakunapiqa yachapakusharqani Hatun Yachaywasipi, ichaqa chayllamanmi Pandimiya nisqa hamurqan suyunchisman. Chaymi sasachakuykunata apamurqan.
T'ipinayuq kayqa allinmi kay timpukunapiqa, porque chaymanta willarinakunchis ima willakuykunatapis, chhaynallataq ima yachaykunatapis tapurikunchis eh celulartaqa ratulla chaninchayamuwanchis.
Imaraykutaq, Tiyuspaq kamasqanrayku, p'unchaytaq yuraqman, tutataq azulman; Tiyusñischispaq kamasqanrayku.
Chaymi kashan: tarpuy pacha, ruphay pacha, chakuy pacha, chiri pacha.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 5 minutes
Elwin Huaman <elwin.huaman@hotmail.com>
If you use this dataset in your research, please cite the following publication:
@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},
}
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