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Release Date: 9/17/2026
Format: MP3
Size: 37.80 MB
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-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Aragonese [Aragonés - an]. The dataset contains 240 clips representing 1.85 hours of recorded speech (0.21 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 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.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 35 | 14.6% |
| Transcribed & Pending | 13 | 5.4% |
| Not transcribed | 192 | 80.0% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 240 | 100.0% |
Training split coverage: 0 of 35 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 35 | 72.9% |
| Pending | 13 | 27.1% |
| Edited | 21 | 43.8% |
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 questions used in the corpus.
Tiens plantas u flors en casa tuya?
Qué mena de fongos se troban en a redolada?
Qué piensas d'os debers en a escuela?
Qué se mincha lo día d'a fiesta d'o lugar?
Describe comidas sanas y nutritivas.
There follows a randomly selected sample of transcribed responses from the corpus.
A yo me fan muito goi as legumbres y as verduras. As verduras lo que foi ye bullir-las en augua y dimpués foi un sofrito de... aceite de oliva con allo u con cebolla y cuan ye pochada la la achunto con la... la verdura. Y as legumbres pues las foi ee ee con... con un sofrito de... de cebolla, de pimiento verde, de chorizo, de tocino, zanahoria, ee guixetas de trunfa y con tot ixo foi un sofrito y dimpués lo foi bullir con... con as legumbres pa que s'ablandeixcan pero prengan ixa... ixe... ixa sabor d'o sofrito.
Sí, sí, dende que tiengo ventiun anyos he teniu una votura y y me fa muita horna porque ye una cosa que ha feito, ha feito tener muita calidat de vida, poder conducir y y tiengo en zagueras un auto con ruedas un poquet grans y un poquet altas para que cuan puyo per las pistas no... ni s'enchampe l'auto ni se toroneen es baixos.
O primer treballo que yo tenié yera descargar camions. Ixo ye lo primero que facié yo pa ganar-me a crosta... os primers chanfles. Y dimpués o primer treballo que yo tenié que podié fer-lo con un contrato ee yera educador de... de personas adultas, en Zaragoza. Pero d'ixo ya en fa anyos arrienda, eh.
Cuan una persona pega as zagueras bocadas y ye amanada a morir, son os familiars, os parients mas parients, os que son cerca d'esta persona, pa acompanyar-la en os zaguers momentos d'a suya vida.
No, nunca s'ha feito queso en casa nuestra. Bela vez m'he mirau de fer-lo yo por fer la prebatina pero cosa. O queso siempre cal comprar-lo. Encara que ye millor o queso artesano, pero no ye de buen fer.
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
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
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
Juan Pablo Martínez <[email protected]>
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