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Update README.md

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@@ -11,10 +11,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 72553370.0
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  num_examples: 590
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  download_size: 72159005
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- dataset_size: 72553370.0
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  configs:
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  - config_name: default
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  data_files:
@@ -22,6 +22,8 @@ configs:
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  path: data/train-*
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  task_categories:
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  - automatic-speech-recognition
 
 
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  ---
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@@ -46,5 +48,5 @@ written consent from the informants. For the initial transcription
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  of the audio files, Large-v3 was employed. The transcripts were
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  then manually corrected by the field linguist who is also a speaker of this Greek dialect.
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- This corpus was used in the Interpseech proceedings paper [Speech Recognition for Greek Dialects: A Challenging Benchmark](https://www.isca-archive.org/interspeech_2024/vakirtzian24_interspeech.html).
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  The paper presented a comprehensive study of automatic speech recognition (ASR) for low-resource Greek varieties, focusing on the unique challenges posed by dialects.
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 72553370
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  num_examples: 590
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  download_size: 72159005
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+ dataset_size: 72553370
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  configs:
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  - config_name: default
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  data_files:
 
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  path: data/train-*
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  task_categories:
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  - automatic-speech-recognition
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+ tags:
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+ - messenian
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  ---
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  of the audio files, Large-v3 was employed. The transcripts were
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  then manually corrected by the field linguist who is also a speaker of this Greek dialect.
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+ 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).
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  The paper presented a comprehensive study of automatic speech recognition (ASR) for low-resource Greek varieties, focusing on the unique challenges posed by dialects.