Common Voice Spontaneous Speech 5.0 - Arvanitika

Arvanitika — Arvanitika (aat)

This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Arvanitika [Arvanitika - aat]. The dataset contains 334 clips representing 2.3 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.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

Training splits

Training split coverage: 0 of 0 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

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.

1. Ama hriasej të veje ndë nosokomio, do veje?
2. Çë di / çë këljtone nga prind tëndë?
3. Emrin çëke, ka çë e ke?
4. Kush të nxu ti, mëma, tata i nde skoljo?
5. Di të ngalësh aftoqinito?

Responses

There follows a randomly selected sample of transcribed responses from the corpus.

1. *Dimrin kish shum ftoht, paghur. Bora bij, keshwm dru bwnej shum atere, kesh trkadh atje drut, edhe vatra nuku shuan fare dit' e nat. *
2. *Na nxij mwma punwt qw tw bwjmw, si tw fshijmw shtwpin, si tw ljajmw pjatat, si tw fshijmw avlinw jashtw, tuti ato na i thosh jwma pse ne jeshmw tw vogla, nuku dim, edhe nxij tuti mamaj, mwma, e na nxij tuti mwma. *
3. *Cw mw pwlqen qw jesh e vogwl nw skolio, ish qw thosh enjwn [ennoia] tw mathimas, enjwn atw, edhe tuti, edhe orthoghrafin, tuti atw, mw pwlqejn shum, zbwnja mosnjw lathos atjere. Shkruajta pistevon farenjw lathos qw bwra, fare orthoghrafiqi lathos... *
4. *doj tw ndrenj ... doj tw ndrenj ... mermw botwn atje edhe ndrenj jo njwri tor tor tor si lengu tw bwnej shtwpi, pastaj vwrwmw ca leliCe atje edhe ljuanj atje, doj tw jesh nikoqire edhe bwnwj shtwpin u, e vij tuti jiro, torwz, edhe eni thom tw ljuajm kwtu, edhe vijn tote, kesh bwnw njw shtwpi u me leliCe dhe me bot. *
5. plekswm te ndrwnj medin po medi nuku ndreqet, pse jamw shum vitra. Jo, jornar e kam medin, e kam medin katwpite, dhoksa zonjw Shwmwrin, metrin e kam karti, katwr kile.

Fields

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

Get involved

Community links

• Common Voice translators on Pontoon
• Common Voice Communities

Discussions

• Common Voice on Matrix
• Common Voice on Discourse
• Common Voice on Discord
• Common Voice on Telegram

Contribute

• Contribute questions
• Validate questions
• Answer questions
• Transcribe recordings
• Validate transcriptions

Acknowledgements

Datasheet authors

• Vivian Stamou <[email protected]>

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

1. 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