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Task: ASR
Release Date: 3/20/2026
Format: MP3
Size: 37.79 MB
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A collection of spontaneous responses to questions 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 sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for Aragonese [Aragonés - an]. The dataset contains 240 clips representing 1.85 hours of recorded speech (0.17 hours validated) from 3 speakers.
Aragonese is a Romance language spoken in several dialects by about 8,000—12,000 people in the northern areas of Aragon, Spain, primarily in the counties of Chacetania, Alto Galligo, Sobrarbe and Ribagorza.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 29 | 12.1% |
| Transcribed & Pending | 10 | 4.2% |
| Not transcribed | 201 | 83.8% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 240 | 100.0% |
Training split coverage: 0 of 29 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 29 | 74.4% |
| Pending | 10 | 25.6% |
| Edited | 13 | 33.3% |
In 2023, the Academia Aragonesa de la Lengua, a 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 questions used in the corpus.
Qué servicios publicos son mas importants pa lo tuyo lugar?
Cómo aprendiés a charrar en aragonés?
Lo tuyo lugar tiene buena cobertura de telefonía móbil?
Qué verduras se minchan mas en casa vuestra?
Sabes lo nombre de bella estrela u constelación? Cómo se puede veyer?
There follows a randomly selected sample of transcribed responses from the corpus.
Porque fa falta tener as mans limpias, pero tamién cal prevenir que te pille bel mal por microbios o bacterias que pueden trobar-se en as mans por ixo fa falta lavar-las bien.
Yo de chicorrón, teneben calefacción electrica, yera la a forma de calentar as casas. En os lugars pues prou que lo feban con un fogaril, feban fuego y... y con ixo calentaban. Pero en en a ciudat ya, ya se feba... con electricidat. Ixo costaba asaber-los diners y no siempre se podeba tener enchegau o radiador. Yeran atros tiempos.
Pues agora ya no preixino en brincar por allí enta debant, por allá leixizos; me conformo con poder recorrer-me la peninsula entera: Espanya y Portugal.
Gracias a Dios de momento he buena salut y no so muit aprehensiva. Vo ta lo medico tasament una vez a l'anyo. Y si me noto bella cosa rara, he una ermana enfermera que... si li da la gana me contesta, y si no, me manda a paseo.
En casa nos a- fa muito goyo la verdura así que minchamos de todo, borraza -ja, acelga, vainetas, col, pella, cardo, todo lo que pillamos de lo huerto, puré con patata y zanahoria, puerros...
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 5 minutes
Juan Pablo Martínez <juanpabl@gmail.com>
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