License:
CC0-1.0
Steward:
Common VoiceTask: ASR
Release Date: 12/5/2025
Format: MP3
Size: 48.21 MB
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A collection of spontaneous spoken phrases in Ligurian.
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.
lij)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 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Ligurian (lij). The dataset contains 294 clips representing 3 hours of recorded
speech (2 hours validated) from 5 speakers.
Prompts: 164
Duration: 2:22:02 [h:m:s]
Avg. Transcription Len: 223
Avg. Duration: 28.99[s]
Valid Duration: 5941.584[s]
Total hours: 2.37[h]
Valid hours: 1.65[h]
There follows a randomly selected sample of questions used in the corpus.
Imagina che t’ê da-o maxellâ, da-o besagnin ò da-o pesciaieu e ti veu accattâ quarcösa. Cöse ti ghe dixi?
Che pesci ti veddi ciù de spesso da-e teu bande? Donde ti î veddi?
Descrivi o percorso de l’autobo che ti piggi ciù de spesso.
Descrivi de mainea approscimativa e regole do spòrt che ti fæ ciù de spesso ò che ti conosci megio.
Quæ o l’é o museo ciù bello che t’æ mai visto, e perché?
There follows a randomly selected sample of transcribed responses from the corpus.
Pe piaxei, scià me dagghe un pö de cädæa che vorriæ tritollâla e cheuximela a-o piato.
Pe vedde i pesci beseugna anâ da-o pescou. Niatri à Sestri ghe dimmo da-o pescou eh ma o nomme ciù giusto o saieiva o pesciaieu eh ò ciappaieu eh mi no me piaxan guæi i pesci ma ciù che atro chì se vedde ancioe, laxerti de stæ eh loassi, quarche vòtta eh gianchetti quande l’é a saxon eh eh laxerti e no saviæ.
Ma mi l’autobo che piggio o o chiña zu da-o Biscion, o passa pe Marasci e dapeu o passa in sciô ponte de Sant’Agâ e o o fa un tocchettin de... comme se ciamma quella via lì... eh va be’, no me vëgne o nomme eh vixin a-o palaçio do de l’IREN, passa a gallaia quella de de Brignole, e dapeu eh o l’é o l’arriâ à Brignole.
Ecco, mi devo dî che pe dî a veitæ no ò mai fæto sport in vitta mæ, parte un pittin de ginnastica e de yoga, ma dòppo un pittin m’angoscio e cianto lì. Me piaxe fâ de passeggiate e ma lì regole no ghe n’é.
Sta chì a no l'é unna bella domanda, perché eh, no, no gh'arriëscio mi à fâ unna clascifica. Euh perché... eh... ciaschedun o l'é bello a-o mòddo seu. Pòsso dî quæ a l'é stæta incangio a mostra ch'a l'é, ch'a m'é piaxua de ciù. E a l'é stæta eh quella ch'ò visto tantiscimi anni fa à Turin, de un artista ch'o se ciamma, o se ciammava, Calder, ch'o fava de de euvie eh che ean de demoe. E... e o l'ea un tipo allegro, no ô sò, m'à misso ben, m'à misso tanto ben che quande son sciortia me saieiva tor- tornâ inderê torna.
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 demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2