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README.md

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 # Introduction
-The "coser" dataset is a specialized extract from the "Corpus Oral y Sonoro del Español Rural" (COSER; Fernández-Ordóñez 2005-present), meaning the "Audible Corpus of Spoken Rural Spanish". This dataset has been specifically curated to facilitate the fine-tuning of Whisper, an automatic speech recognition system. For this purpose, audio and text segments ranging from 3 to 30 seconds have been automatically extracted from the COSER corpus. These segments provide concise and diverse samples of spoken rural Spanish, ideal for training and refining speech recognition models.
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+The "coser" dataset is a specialized extract from the "Corpus Oral y Sonoro del Español Rural" (COSER; Fernández-Ordóñez 2005-present), meaning the "Audible Corpus of Spoken Rural Spanish". This dataset has been specifically curated to facilitate the fine-tuning of Whisper, an automatic speech recognition system. For this purpose, audio and text segments ranging from 3 to 30 seconds have been automatically extracted from the COSER corpus. These segments provide concise and diverse samples of spoken rural Spanish, ideal for training and refining speech recognition models. To ensure manageability and efficient processing, a maximum of 1024 tokens were used in the dataset, striking a balance between comprehensive coverage and computational efficiency.
 # Content and Demographic Focus
 The original COSER dataset includes 218 transcriptions of semi-structured interviews primarily with elderly, less-educated individuals from rural Spain. These interviews, each averaging around 54 minutes, are rich in dialectal variations and linguistic nuances, offering valuable insights into traditional Spanish dialects.