Datasets:
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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.
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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.
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In addtition, the following filters were applied to this data:
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- All audios are less than 30 seconds and greater than 0 seconds.
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- All cleaned_text have token lengths less than 448 and greater than 0.
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- All rows with 'nan' in cleaned_text or cleaned_text only having whitespace or being empty were dropped.
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