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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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This dataset consists of 3 hours of audio collected from diverse environments to better represent real-world scenarios. The recordings were sourced from audiobooks, YouTube, and other public sources, ensuring a wide variety of speech styles and acoustic conditions.
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To enable a robust and fair comparison of models, the dataset has been carefully normalized: extra characters and inconsistencies in Persian text have been removed, and orthographic variations have been standardized.
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For a detailed explanation of the normalization process, please refer to our (GitHub page)[https://github.com/c1tech-group/Persian-ASR-Leaderboard]
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