Common Voice Spontaneous Speech 2.0 - Arvanitika
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 46.68 MB
Description
A collection of spontaneous spoken phrases in Arvanitika.
Specifics
Considerations
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
Processes
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.
Metadata
Arvanitika — Arvanitika (aat)
This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Arvanitika (aat). The dataset contains 334 clips representing 3 hours of recorded
speech (0 hours validated) from 5 speakers.
Language
Arvanitika (/ˌɑːrvəˈnɪtɪkə/; Arvanitika: αρbε̰ρίσ̈τ, romanized: arbërisht; Greek: αρβανίτικα, romanized: arvanítika), also known as Arvanitic, is the variety of Albanian traditionally spoken by the Arvanites, a population group in Greece. Arvanitika was brought to Southern Greece during the late Middle Ages by Albanian settlers who moved south from their homeland in present-day Albania in several waves. The dialect preserves elements of medieval Albanian, while also being significantly influenced by the Greek language. Arvanitika is today endangered, as its speakers have been shifting to the use of Greek and most younger members of the community no longer speak it.
Transcriptions
Prompts:
111Duration:
2:18:10 [h:m:s]Avg. Transcription Len:
161Avg. Duration:
24.82[s]Valid Duration:
0.0[s]Total hours:
2.3[h]Valid hours:
0.0[h]
Writing system
Following the writing rules of modern Albanian, while keeping the Greek alphabet for sounds not existing in Albanian.
In cases of code-switching, write the Greek portion using Greek letters, even for isolated Greek words.
Use the capital letter E to represent the Albanian letter ë [ǝ].
Use the capital letter C to represent the Albanian letter ç [tš].
For γ before α and ο, retain γ or alternatively write gh.
For χ before ε and ι, retain χ or alternatively write hj
Samples
Questions
There follows a randomly selected sample of questions used in the corpus.
Ja nonjë vend që pëlqen shum?
Çë të nxur prind(t)?
Çë këngë të pëlqen më shum?
Pse je perifάn?
Vapa të pëlqen i të ftohët?
Responses
There follows a randomly selected sample of transcribed responses from the corpus.
Cw mw pwlqen mw shum kwtu? Mw pwlqen Livadhea. Atje ishtw, ish shum bukur, kejn ujra boliko atje, ish shum mir atje, mw pwlqen, vejm nw ver ndonjwher atje , po nuku keshwm aftoqinito edhe vejm me mullar.
mwma edhe tati, tata na mbledhwn ndw mal edhe bwjmw dhiafora punw.
kwnga qw mw pwlqen mw shum, qw ishtw, ishtw kjo qw thoshwm twngwzw, moj twngwzw, do tw vw njw kwmbwzw, do tw bw njw nus' e re, do tw vishwm me podhe, moj...
qw shoh djeltw edhe niprtw qw ven mirw edhe jan mirw... μ' αρέσει...
eorti, mw pwlqenw ikosti pempti martiu qw vemw edhe blidhen tir kozmi, edhe shoh, shoh tuti mikwtw edhe edhe djemt qw, edhe djemt
Fields
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id- hashed UUID of a given useraudio_id- numeric id for audio fileaudio_file- audio file nameduration_ms- duration of audio in millisecondsprompt_id- numeric id for promptprompt- question for usertranscription- transcription of the audio responsevotes- number of people that who approved a given transcriptage- age of the speaker1gender- gender of the speaker1language- language namesplit- for data modelling, which subset of the data does this clip pertain tochar_per_sec- how many characters of transcription per second of audioquality_tags- some automated assessment of the transcription--audio pair, separated by|transcription-length- character per second under 3 characters per secondspeech-rate- characters per second over 30 characters per secondshort-audio- audio length under 2 secondslong-audio- audio length over 30 seconds
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Community links
Contribute
Acknowledgements
Datasheet authors
Vivian Stamou <vivianstamou@gmail.com>
Funding
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
Licence
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.
Footnotes
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
