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Update README.md

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  1. README.md +4 -2
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@@ -5,6 +5,8 @@ task_categories:
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  - automatic-speech-recognition
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  language:
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  - uz
 
 
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  pretty_name: Uzbek Language Speech-to-Text Dataset
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  size_categories:
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  - 100K<n<1M
@@ -50,7 +52,7 @@ Many examples in this dataset have trailing quotations marks, e.g "Musibat yomon
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  In addition, the majority of training sentences end in punctuation ( . or ? or ! ), whereas just a small proportion do not. In the dev set, almost all sentences end in punctuation. Thus, it is recommended to append a full-stop ( . ) to the end of the small number of training examples that do not end in punctuation.
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  ---
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- '''
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  from datasets import load_dataset
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  ds = load_dataset("mozilla-foundation/common_voice_17", "en", use_auth_token=True)
@@ -72,5 +74,5 @@ def prepare_dataset(batch):
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  return batch
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  ds = ds.map(prepare_dataset, desc="preprocess dataset")
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- '''
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  ---
 
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  - automatic-speech-recognition
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  language:
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  - uz
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+ tags:
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+ - audio
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  pretty_name: Uzbek Language Speech-to-Text Dataset
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  size_categories:
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  - 100K<n<1M
 
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  In addition, the majority of training sentences end in punctuation ( . or ? or ! ), whereas just a small proportion do not. In the dev set, almost all sentences end in punctuation. Thus, it is recommended to append a full-stop ( . ) to the end of the small number of training examples that do not end in punctuation.
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  ---
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+
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  from datasets import load_dataset
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  ds = load_dataset("mozilla-foundation/common_voice_17", "en", use_auth_token=True)
 
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  return batch
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  ds = ds.map(prepare_dataset, desc="preprocess dataset")
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+
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  ---