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---
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: raw_text
    dtype: string
  - name: normalized_text
    dtype: string
  - name: speaker_id
    dtype: string
  splits:
  - name: train
    num_bytes: 72553370
    num_examples: 590
  download_size: 72159005
  dataset_size: 72553370
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- automatic-speech-recognition
tags:
- messenian
---



Messenian is a Greek dialect spoken in the Southwest of the Peloponnese and,
thus, it belongs to the Peloponnesian varieties. Historically, Peloponnesian has been considered as one of the basic dialects on
which Standard Modern Greek was formed, mainly because of the pivotal role of the Peloponnese during the Greek
Revolution of 1821 and the subsequent formation of the Greek
state, as well as of the significant migratory movements from
the Peloponnese to Athens. Recent studies of some documented
linguistic material from the Peloponnesian varieties reveal substantial deviations from Standard Modern Greek, and differences from one variety to the other, particularly on the phonological level. For instance, they display palatalization of the
lateral /l/ and the nasal /n/. However, detailed empirical studies
and an account of the exact properties of Messenian and how it
diverges from other Peloponnesian dialects are lacking.

To assemble the corpus, a field linguist (Katerina Mouzou) interviewed residents
from the town of Kalamata and five closeby villages (Bounaria,
Sotirianika, Petalidi, Filiatra, Altomira), resulting in 39 minutes
of narratives obtained from six speakers (2 male, 4 female). This
data collection was carried out in 2023-2024, after obtaining
written consent from the informants. For the initial transcription
of the audio files, Large-v3 was employed. The transcripts were
then manually corrected by the field linguist who is also a speaker of this Greek dialect.

This corpus was used in the Interspeech proceedings paper [Speech Recognition for Greek Dialects: A Challenging Benchmark](https://www.isca-archive.org/interspeech_2024/vakirtzian24_interspeech.html).
The paper presented a comprehensive study of automatic speech recognition (ASR) for low-resource Greek varieties, focusing on the unique challenges posed by dialects.