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Update README.md

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@@ -72,24 +72,22 @@ The purpose of this dataset is mainly for training text-to-speech and automatic
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  The dataset consists of a single split, providing audios and transcriptions:
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  ```
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  DatasetDict({
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- train: Dataset({
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- features: ['audio', 'transcription'],
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- num_rows: 4240
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- })
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  })
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  ```
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  Each data point is structured as:
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  ```
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  >> data['train'][0]['audio']
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- {'path': 'caf_09901_01619988267.wav',
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- 'array': array([-3.05175781e-05, -3.05175781e-05, -3.05175781e-05, ..., -6.10351562e-05, -6.10351562e-05, -6.10351562e-05])
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- 'sampling_rate': 22050}
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-
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  >> data['train'][0]['transcription']
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- "L'òpera de Sydney es troba a l'entrada de la badia"
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  ```
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  ### Dataset Splits
 
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  The dataset consists of a single split, providing audios and transcriptions:
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  ```
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  DatasetDict({
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+ train: Dataset({
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+ features: ['audio', 'transcription'],
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+ num_rows: 12435
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+ })
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  })
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  ```
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  Each data point is structured as:
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  ```
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  >> data['train'][0]['audio']
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+ {'path': 'upc_ca_eli_204478.wav', 'array': array([ 0.00000000e+00, 0.00000000e+00, -3.05175781e-05, ...,
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+ 0.00000000e+00, 0.00000000e+00, -3.05175781e-05]), 'sampling_rate': 22050}
 
 
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  >> data['train'][0]['transcription']
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+ "Què potser el seu fill tenia l'endemà el matí lliure? Si era el cas, el podia convidar a jugar una partideta de golf."
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  ```
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  ### Dataset Splits