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Release Date: 6/17/2026
Format: MP3
Size: 230.39 MB
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A collection of read speech recordings in Nüpode Huitoto (hux).
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.
hux)This datasheet is for cv-corpus-26.0-2026-06-12 of the Mozilla Common Voice Scripted Speech dataset for Nüpode Huitoto [hux - hux]. The dataset contains 10608 clips representing 11.42 hours of recorded speech (9.99 hours validated) from 13 speakers, recorded from a text corpus of 995 sentences.
The Murui-Muinanɨ language, ISO code hux belongs to the Witotoan family and is spoken in the basins of the Putumayo, Napo, and Amazonas rivers in the Loreto department of Perú. It has traditionally been known as Uitoto or Huitoto but now they prefer the endonym Murui-Muinanɨ.
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
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.
| Code | Gender | Clips | Speakers |
|---|---|---|---|
| male_masculine | Male, masculine | - | - |
| female_feminine | Female, feminine | 6,646 (62.7%) | 8 (61.5%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 3,962 (37.3%) | 5 (38.5%) |
Gender declared: 6,646 of 10,608 clips (62.7%), 8 of 13 speakers (61.5%)
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.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | - | - |
| twenties | Twenties | 1,975 (18.6%) | 2 (15.4%) |
| thirties | Thirties | 991 (9.3%) | 1 (7.7%) |
| fourties | Fourties | 2,712 (25.6%) | 4 (30.8%) |
| fifties | Fifties | 3,940 (37.1%) | 4 (30.8%) |
| sixties | Sixties | 980 (9.2%) | 1 (7.7%) |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 10 (0.1%) | 2 (15.4%) |
Age declared: 10,598 of 10,608 clips (99.9%), 11 of 13 speakers (84.6%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 9,285 (87.5%) |
| Invalidated | 1,322 (12.5%) |
| Other | 1 (0.0%) |
Training splits
| Split | Clips |
|---|---|
| Train | 637 (6.9%) |
| Dev | 25 (0.3%) |
| Test | 326 (3.5%) |
Training split coverage: 988 of 9,285 validated clips (10.6%)
The dataset contains 9285 validated, 1322 invalidated, and 1 unresolved clips. The average clip duration is 3.876 seconds.
On average, sentences consist of six words and contain a total of forty letters.
Validated sentences: 995
| Category | Count |
|---|---|
| Unvalidated sentences | - |
| Pending sentences | - |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 995 sentences: 995 validated and 0 unvalidated (0 pending review, 0 rejected), with 0 reported for review.
The murui muinane alphabet was officially established by Executive Order No. 303-2015-MINEDU issued by Peruvian Ministry of Education. The alphabet is composed by 23 graphemes.
There follows a randomly selected sample of five sentences from the corpus.
Bueñe kuemo raiñokɨide
Jamaikɨ suude
Amena illefuemo ite jae jaɨgoride
Amana ille anado makade
¿Mɨnɨkado llɨkɨaɨ jitate?
Sentences were written by Mrs. Cleofina Tello
| Source | Sentences |
|---|---|
| Cleofina Tello (self) | 995 (100.0%) |
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
sentence - the sentence to be read aloud
sentence_id - unique identifier for the sentence
sentence_domain - domain classification(s) of the sentence
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
locale - locale code of the language
segment - if sentence belongs to a custom dataset segment, it will be listed here
validated_sentences.tsvThe 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.tsvThe 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)
Luis Camacho
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}}
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 ↩3 ↩4