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@@ -35,4 +35,19 @@ configs:
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  data_files:
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  - split: validation
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  path: data/validation-*
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
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  data_files:
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  - split: validation
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  path: data/validation-*
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+ license: apache-2.0
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+ task_categories:
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+ - automatic-speech-recognition
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+ language:
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+ - ar
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+ tags:
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+ - WhisperTiny
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+ - WhisperSmall
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+ - WhisperBase
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+ - WhisperMedium
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # Details
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+ This is the SADA 2022 dataset with the input_features whish are log mels and the cleaned_labels which is the tokenized version of the cleaned_text. You can directly use this as the validation dataset when training Whisper Tiny, Small, Base & Medium models, as they all use the same tokenizer. Please double check this as well from the original model repo.