Common Voice Scripted Speech 25.0 - Quechua Pasco Santa Ana de Tusi

qxt — Quechua Pasco Santa Ana de Tusi (qxt)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Quechua Pasco Santa Ana de Tusi [qxt - qxt]. The dataset contains 11128 clips representing 13.26 hours of recorded speech (10.3 hours validated) from 16 speakers, recorded from a text corpus of 998 sentences.

Language

Pasco Quechua, identified by the ISO 639-3: qxt, belongs to the Quechua I group.

Accents

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.

Gender declared: 8,085 of 11,128 clips (72.7%), 7 of 16 speakers (43.8%)

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.

Age declared: 11,079 of 11,128 clips (99.6%), 10 of 16 speakers (62.5%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 997 of 8,647 validated clips (11.5%)

The dataset contains 8647 validated, 12 invalidated, and 2469 unresolved clips. The average clip duration is 4.29 seconds.

Text corpus

The average length of sentences is 6 tokens (40 characters).

Validated sentences: 998

The corpus contains 998 sentences: 998 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 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.

Symbol table

Following the rules established by the Peruvian Ministry of Education, Chawpin qichwata qillqanapaq maytu. Manual de escritura quechua central

Sample

There follows a randomly selected sample of five sentences from the corpus.

1. ¿Hayka uurataq wasiykiman chantsik?

2. Lapa kawaq runakuna hamapaakunmi.

3. Nuqantsik qichpachawmi qillqantsik.

4. Pay warmintam nirqa: kuyaqmi.

5. Allapa mikuyniyuqmi kanki.

Sources

Sentences were written by Mr. Pedro Ricce

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 user

• path - relative path of the audio file

• text - supposed transcription of the audio

• up_votes - number of people who said audio matches the text

• down_votes - number of people who said audio does not match text

• age - age of the speaker1

• gender - gender of the speaker1

• accents - accents of the speaker1

• variant - variant of the language1

• segment - if sentence belongs to a custom dataset segment, it will be listed here

• prompt_upvotes - number of upvotes the sentence prompt received

• prompt_reports - number of reports the sentence prompt received

• is_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 sentence

• sentence - the sentence text

• variant - the variant of the language

• sentence_domain - the domain(s) the sentence belongs to

• source - the source the sentence was collected from

• is_used - whether the sentence is still in circulation for recording

• clips_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 sentence

• sentence - the sentence text

• variant - the variant of the language

• sentence_domain - the domain(s) the sentence belongs to

• source - the source the sentence was collected from

• up_votes - number of upvotes the sentence received

• down_votes - number of downvotes the sentence received

• status - current status of the sentence (pending or rejected)

Get involved

Community links

• Common Voice translators on Pontoon

• Common Voice Communities

Discussions

• Common Voice on Matrix

• Common Voice on Discourse

• Common Voice on Discord

• Common Voice on Telegram

Contribute

• Speak

• Write

• Listen

• Review

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

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 ↩3 ↩4