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@@ -23,10 +23,11 @@ For more information about our proposed model, please refer to this [paper](http
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  ## Dataset Statistics
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  1. Total size: Approximately 30 GB.
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  2. Number of samples: 55,173 pairs of speech and text.
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- 3. Average words per sample: 17.78.
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- 4. Maximum words in a sample: 48.
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- 5. Average characters per sample: 96.72.
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- 6. Categories: 15 categories consist of `adventure`, `belles_lettres`, `editorial`, `fiction`, `government`, `hobbies`, `humor`, `learned`, `lore`, `mystery`, `news`, `religion`, `reviews`, `romance`, `science_fiction`.
 
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  ## Dataset Structure
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  To ensure ease of use, the dataset is partitioned into 10 parts. Each part can be used independently if it meets the requirements of your task and model.
 
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  ## Dataset Statistics
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  1. Total size: Approximately 30 GB.
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  2. Number of samples: 55,173 pairs of speech and text.
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+ 3. Average tokens per sample: 19.00.
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+ 4. Maximum tokens in a sample: 48.
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+ 5. Average characters per sample: 96.72.
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+ 6. Number of unique tokens: 50,667
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+ 7. Categories: 15 categories consist of `adventure`, `belles_lettres`, `editorial`, `fiction`, `government`, `hobbies`, `humor`, `learned`, `lore`, `mystery`, `news`, `religion`, `reviews`, `romance`, `science_fiction`.
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  ## Dataset Structure
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  To ensure ease of use, the dataset is partitioned into 10 parts. Each part can be used independently if it meets the requirements of your task and model.