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License:
CC0-1.0
Steward:
Common VoiceDataset ID:
cmflnn4eclmrzec7f78ld6qao
Release Date: 9/15/2025
Format: MP3
Size: 2.20 MB
A collection of spontaneous spoken phrases in Aragonese.
Restrictions/Special Constraints
You agree that you will not re-host or re-share this dataset
Forbidden Usage
You agree not to attempt to determine the identity of speakers in the Common Voice 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 has been generated automatically, we would love to include more information, if you would like to help out, get in touch!
This datasheet is for version 23.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Aragonese (an). The dataset contains 19 clips representing 1 hours of recorded
speech (1 hours validated) from 1 speakers.
The dataset includes the following distribution of age and gender.
Self-declared gender information, frequency refers to the number of clips annotated with this gender.
Self-declared age information, frequency refers to the number of clips annotated with this age band.
Prompts: 19
Duration: 395352[ms]
Avg. Transcription Len: 233
Avg. Duration: 20.81[s]
Valid Duration: 395.35[s]
Total hours: 0.11[h]
Valid hours: 0.11[h]
There follows a randomly selected sample of questions used in the corpus.
Cuál d'os quefers de casa t'agrada menos?
Qué remedios emplegas cuan yes resfriau?
Ta dó te faría goyo d'ir de viache?
Qué tecnolochía te preocupa mas?
Qué querrías fer pa trobar-te millor?
There follows a randomly selected sample of transcribed responses from the corpus.
Como vivimos en un lugar chicorrón y no bi ha pescadería, lo pescau que mas se mincha ye la merluza conchelada. Fresco, lo que mas goyo nos fa ye la dorada, la lubina, y lo millor d'el mundo ye lo abadeixo salau.
Pa trobar-me millor, m'aganaría caminar más y estar menos andalosa, no meter la carga debant de los machos siempre.
En lo nuestro lugar las casas antis mas se feban de solo piedra, con parets muit recias d'hasta ochenta centimetros y tasament heban cimientos, asinas que... las parets yeran parets de carga... Los pisos s'aposentaban en buenas bigas trabes de madera, tamién lo tellau. Y las las tellas yeran de charco marrón, no yeran pizarra, yeran feitas de charco marrón y cocidas y lo monyo... pa sojetar-las s'apoyaba en las latas. Las latas yeran listonez finos que se clavaban d'una trabeta a l'atra.
Tasament me refrío pero si lo i so, beber muita agua y tomar bel paracetamol.
L'orache en lo mío lugar habría que estar como l'orache de lo mont en lo Pirineu: muito frío y muita nieu en himbierno; primaveras, bien de agua, aire, y verdes; veranos de muito calor de manyanas y fresco cuando se caye lo sol, y frío de noches y de madrugada; y las santmigaladas, con muita airera... pero ixas estacions ya se'n son perdidas.
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 30 seconds
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 demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2