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Release Date: 9/17/2026
Format: MP3
Size: 358.08 MB
A collection of read speech recordings in Aragonese (Aragonés).
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.
an)This datasheet is for cv-corpus-27.0-2026-09-11 of the Mozilla Common Voice Scripted Speech dataset for Aragonese [Aragonés - an]. The dataset contains 14040 clips representing 17.83 hours of recorded speech (16.86 hours validated) from 53 speakers, recorded from a text corpus of 10,811 sentences.
Aragonese is a Romance language spoken in several dialects by about 8,000—12,000 people in the northern areas of the Autonomous Community of Aragon, Spain, primarily in the counties of Chacetania, Alto Galligo, Sobrarbe and Ribagorza. It is legally protected but not recognized as an official language.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| - | 7,456 (53.1%) | 21 (39.6%) |
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 | 2,040 (14.5%) | 1 (1.9%) |
| female_feminine | Female, feminine | 2,036 (14.5%) | 12 (22.6%) |
| transgender | Transgender | - | - |
| non-binary | Non-binary | - | - |
| do_not_wish_to_say | Prefer not to say | 5 (0.0%) | 1 (1.9%) |
| - | Unspecified | 9,959 (70.9%) | 41 (77.4%) |
Gender declared: 4,081 of 14,040 clips (29.1%), 12 of 53 speakers (22.6%)
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 | 5 (0.0%) | 1 (1.9%) |
| twenties | Twenties | 293 (2.1%) | 4 (7.5%) |
| thirties | Thirties | 2,854 (20.3%) | 7 (13.2%) |
| fourties | Fourties | 4,446 (31.7%) | 6 (11.3%) |
| fifties | Fifties | 1,580 (11.3%) | 8 (15.1%) |
| sixties | Sixties | 1,721 (12.3%) | 2 (3.8%) |
| seventies | Seventies | 539 (3.8%) | 2 (3.8%) |
| eighties | Eighties | - | - |
| nineties | Nineties | - | - |
| - | Unspecified | 2,602 (18.5%) | 31 (58.5%) |
Age declared: 11,438 of 14,040 clips (81.5%), 22 of 53 speakers (41.5%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 13,277 (94.6%) |
| Invalidated | 758 (5.4%) |
| Other | 5 (0.0%) |
Training splits
| Split | Clips |
|---|---|
| Train | 4,190 (31.6%) |
| Dev | 2,872 (21.6%) |
| Test | 2,920 (22.0%) |
Training split coverage: 9,982 of 13,277 validated clips (75.2%)
The dataset contains 13277 validated, 758 invalidated, and 5 unresolved clips. The average clip duration is 4.574 seconds.
Validated sentences: 10,454
| Category | Count |
|---|---|
| Unvalidated sentences | 357 |
| Pending sentences | 14 |
| Rejected sentences | 343 |
| Reported sentences | 8 |
The corpus contains 10,811 sentences: 10,454 validated and 357 unvalidated (14 pending review, 343 rejected), with 8 reported for review.
In 2023, the Academia Aragonesa de la Lengua, the public institution created as language regulatory body, established the Orthography of Aragonese as the official spelling for the language. The spelling system is flexible enough to allow writing all Aragonese varieties.
All the submitted sentences have been adapted to the official orthography, although errors can be found occasionally.
There follows a randomly selected sample of five sentences from the corpus.
Saliba la hierba a pichín.
L'ha feito sin garra atra razón
Siempre bi ha tiempo pa almorzar.
L'hez fotiu cuatro tiros.
Cuánta historia sabe vusté.
Sentences have been obtained from the works of two writters whose works are already in the public domain: Dámaso Carrera and Domingo Miral, as well as by living authors who have submitted sentences from their own works.
1400 sentences from Diccionario chistabino. Author. F. Blas / F. Romanos. Chistabin Aragonese.
251 sentences from stories. Author: D. Carrera (public domain). Ribagorzan Aragonese.
814 sentences from stories. Author: M. Castán. Benás (patués) Aragonese.
360 sentences from stories. Author: F. González. Ribagorzan Aragonese.
1389 sentences from stories and plays. Author: E. Gusano. Ansotano Aragonese.
997 sentences from linguistic surveys. Author: Ch. Lozano. Belsetan Aragonese.
625 sentences from linguistic surveys. Author: Ch. Lozano. Tella Aragonese.
870 sentences from a story book. Author: J.C. Marco. Ribagorzan Aragonese.
732 sentences from stories and articles. Author: M. Marín. Cheso Aragonese.
1309 sentences from scripts of the "Pizarra y Clarión" section of the Aragonese TV Show "Charrín Charrán". Author: J.P. Martínez. Variants: Standard Aragonese and all the main variants.
441 sentences from theater play Qui bien fa nunca lo pierde. Author: D. Miral (public domain). Cheso Aragonese.
209 sentences created for Aragonese course. Author: J. Orduna. Standard Aragonese.
444 sentences from surveys and dictionary examples. Author. F. Romanos. La Fueva Aragonese.
529 sentences from stories and articles. Author: J.M. Satué. Sobrepuerto Aragonese.
100 sentences from stories. Author: Chorche. Panticuto Aragonese.
| Source | Sentences |
|---|---|
| Self | 2,420 (23.1%) |
| self | 1,743 (16.7%) |
| self (ansotano) | 1,389 (13.3%) |
| self (chistabín) | 1,387 (13.3%) |
| self-citation (JPM) | 1,007 (9.6%) |
| Self cheso | 716 (6.8%) |
| self (JMS) | 536 (5.1%) |
| Taken from: Domingo Miral (1872-1946). Qui bien fa nunca lo pierde. Published in 1903. | 444 (4.2%) |
| Autocita | 342 (3.3%) |
| Other | 470 (4.5%) |
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 13,638 (97.1%) | 53 (100.0%) |
| agriculture_food | Agriculture and Food | - | - |
| automotive_transport | Automotive and Transport | - | - |
| finance | Finance | 2 (0.0%) | 2 (3.8%) |
| service_retail | Service and Retail | 2 (0.0%) | 2 (3.8%) |
| healthcare | Healthcare | - | - |
| history_law_government | History, Law and Government | - | - |
| media_entertainment | Media and Entertainment | - | - |
| nature_environment | Nature and Environment | - | - |
| news_current_affairs | News and Current Affairs | - | - |
| technology_robotics | Technology and Robotics | - | - |
| language_fundamentals | Language Fundamentals | - | - |
We recommend normalizing the apostrophe character, as in l'abella, to a consistent Unicode codepoint (U+0027) before training, as some contributors might have used different quote characters.
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)
Juan Pablo Martínez
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