Common Voice Spontaneous Speech 2.0 - Puno Quechua

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 12/5/2025

Format: MP3

Size: 178.68 MB


Description

A collection of spontaneous spoken phrases in Puno Quechua.

Considerations

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 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.

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.

Data splits for modelling

SplitCount
Train340
Test376
Dev370

Transcriptions

  • 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]

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.

Samples

Questions

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?
Responses

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!

Fields

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

Get involved!

Community links

Contribute

Acknowledgements

Datasheet authors

Citation guidelines

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},
    }

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

  1. 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