Datasets:
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README.md
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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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# 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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