Release Date: 9/17/2026
Format: MP3
Size: 700.53 MB
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Puno Quechua [Punu qhichwa - qxp]. The dataset contains 7305 clips representing 35.41 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 | 6,083 | 83.3% |
| Bucket | Clips | % |
|---|---|---|
| Train | 478 | 6.5% |
| Dev | 300 | 4.1% |
| Test | 296 | 4.1% |
| Unassigned | 6,231 | 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.
There follows a randomly selected sample of transcribed responses from the corpus.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given useraudio_id - numeric id for audio fileaudio_file - audio file nameduration_ms - duration of audio in millisecondsprompt_id - numeric id for promptprompt - question for usertranscription - transcription of the audio responsevotes - number of people that who approved a given transcriptage - age of the speaker1gender - gender of the speaker1language - language namesplit - for data modelling, which subset of the data does this clip pertain tochar_per_sec - how many characters of transcription per second of audioquality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per secondspeech-rate - characters per second over 30 characters per secondshort-audio - audio length under 2 secondslong-audio - audio length over 5 minutesnon-allowed-script - transcription contains characters from a writing system not associated with the languagemixed-script-words - a single word contains characters from multiple writing systemsmixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only oneIf 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