Common Voice Scripted Speech 25.0 - Kichwa

qvi — Kichwa (qvi)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Kichwa [qvi - qvi]. The dataset contains 10196 clips representing 12.53 hours of recorded speech (11.39 hours validated) from 15 speakers, recorded from a text corpus of 1,149 sentences.

Language

Imbabura Highland Kichwa or just Kichwa, identified by the ISO 639-3: qvi, belongs to the Quechua II group.

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: 7,294 of 10,196 clips (71.5%), 9 of 15 speakers (60.0%)

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: 10,186 of 10,196 clips (99.9%), 12 of 15 speakers (80.0%)

Data splits for modelling

Clip buckets

Training splits

Training split coverage: 1,148 of 9,267 validated clips (12.4%)

The dataset contains 9267 validated, 237 invalidated, and 692 unresolved clips. The average clip duration is 4.427 seconds.

Text corpus

Validated sentences: 1,149

The corpus contains 1,149 sentences: 1,149 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.

Sample

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

1. Purututa apiyankakaman yanupay

2. Wantiantaka tuta pichka pachapimi rurankuna

3. Chaypi chayaspa kayachik

4. Kari ñanda kalpashpa rirka

5. Atuk mikun atallpata

Sources

Sentences were collected by Mr. Luis Córdova

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