Release Date: 9/17/2026
Format: MP3
Size: 200.92 MB
A collection of read speech recordings in Asheninka South Ucayali (Asheninka South Ucayali).
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.
cpy)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Asheninka South Ucayali [Asheninka South Ucayali - cpy]. The dataset contains 8272 clips representing 10.15 hours of recorded speech (10.02 hours validated) from 15 speakers, recorded from a text corpus of 1,015 sentences.
The Asheninka are a South America first nation and their language belong to the Arawak linguistic family, they are primarily located in the central Peruvian rainforest between the eastern Andes and the Ucayali River, a region known as the Gran Pajonal due to its extensive tropical grasslands. Their cultural identity is deeply tied to their language, ancestral practices, and a profound connection to their territory, which they view as essential to their livelihood and cultural distinctiveness.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 2,087 (25.2%) | 3 (20.0%) |
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 | 1,929 (23.3%) | 4 (26.7%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | - | - |
| - | Unspecified | 6,343 (76.7%) | 12 (80.0%) |
Gender declared: 1,929 of 8,272 clips (23.3%), 3 of 15 speakers (20.0%)
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 | 2,003 (24.2%) | 3 (20.0%) |
| twenties | Twenties | 998 (12.1%) | 1 (6.7%) |
| thirties | Thirties | 1,005 (12.1%) | 2 (13.3%) |
| fourties | Fourties | 3,189 (38.6%) | 5 (33.3%) |
| fifties | Fifties | - | - |
| sixties | Sixties | 994 (12.0%) | 1 (6.7%) |
| seventies | Seventies | - | - |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 83 (1.0%) | 4 (26.7%) |
Age declared: 8,189 of 8,272 clips (99.0%), 11 of 15 speakers (73.3%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 8,162 (98.7%) |
| Invalidated | 26 (0.3%) |
| Other | 84 (1.0%) |
Training splits
| Split | Clips |
|---|---|
| Train | 518 (6.3%) |
| Dev | 188 (2.3%) |
| Test | 294 (3.6%) |
Training split coverage: 1,000 of 8,162 validated clips (12.3%)
The dataset contains 8162 validated, 26 invalidated, and 84 unresolved clips. The average clip duration is 4.421 seconds.
On average, sentences consist of six words and contain a total of forty letters.
Validated sentences: 1,000
| Category | Count |
|---|---|
| Unvalidated sentences | 15 |
| Pending sentences | 15 |
| Rejected sentences | - |
| Reported sentences | - |
The corpus contains 1,015 sentences: 1,000 validated and 15 unvalidated (15 pending review, 0 rejected), with 0 reported for review.
The Asheninka alphabet was officially established by Executive Order No. 199-2019-MINEDU issued by Peruvian Ministry of Education. The alphabet is composed by 22 graphemes.
There follows a randomly selected sample of five sentences from the corpus.
Sentences were written by Mr. Denis Camayteri.
| Source | Sentences |
|---|---|
| Denis Camayteri (self) | 1,000 (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 userpath - relative path of the audio filesentence - the sentence to be read aloudsentence_id - unique identifier for the sentencesentence_domain - domain classification(s) of the sentenceup_votes - number of people who said audio matches the textdown_votes - number of people who said audio does not match textage - age of the speaker1gender - gender of the speaker1accents - accents of the speaker1variant - variant of the language1locale - locale code of the languagesegment - if sentence belongs to a custom dataset segment, it will be listed herevalidated_sentences.tsvThe validated_sentences.tsv file contains one row per validated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromis_used - whether the sentence is still in circulation for recordingclips_count - number of clips recorded for this sentenceunvalidated_sentences.tsvThe unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:
sentence_id - unique identifier for the sentencesentence - the sentence textvariant - the variant of the languagesentence_domain - the domain(s) the sentence belongs tosource - the source the sentence was collected fromup_votes - number of upvotes the sentence receiveddown_votes - number of downvotes the sentence receivedstatus - current status of the sentence (pending or rejected)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