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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 178.68 MB
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A collection of spontaneous spoken phrases in Puno Quechua.
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 version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Puno Quechua (qxp). The dataset contains 2211 clips representing 10 hours of recorded
speech (6 hours validated) from 26 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.
| Split | Count |
|---|---|
| Train | 340 |
| Test | 376 |
| Dev | 370 |
Prompts: 150
Duration: 9:29:51 [h:m:s]
Avg. Transcription Len: 159
Avg. Duration: 15.46[s]
Valid Duration: 18956.268[s]
Total hours: 9.5[h]
Valid hours: 5.27[h]
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.
Imaynatataq Qhichwa runa Pachamamawan tiyan?
Yachay wasipi kasqaykimanta willariway.
Imanasqataq sapa kutin ashwan pisi Qhichwa rimaqkuna kapun?
Maypitaq tiyanki, imarayku?
Maypin phishqa watapi rikukunki?
There follows a randomly selected sample of transcribed responses from the corpus.
Rikusqaymanhina, qhichwa runakunaqa wakinkunallañan qunqurikunku Pachamamanqa, wakinkunaqa cristiyanu runakuna tukupunku hinaspa manan chaninchakapunkuchu. Chay ishkayninta rikuni.
Yachay Wasiyqa huchuylla kaq, qanchislla yachaqaqmasiykunapis, ichaqa kusisqalla sapa p'unchay puriq kani.
Nuqanchisqa qhichwa rimayta sapa kuti llank'asun, pisi kastillanu simiwan rimananchispaq.
Nuqaqa Puna urqukunapi tiyani, chaypiqa pachamamaqa ancha sumaqta quwanchis. Chaypiqa uywakunata uywayta, chaqrakunata tarpuyta atini. Chaymi kawsayniy.
Phisqa watapiqa huq suyukunata purisaq, imaynatapis. Llipin llakikuykunata tukuyninman apayusaq, imaynatapis!
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 30 seconds
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