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@@ -23,9 +23,7 @@ model-index:
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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- name: IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia as
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- well as a copy of the dataset with noise reduction and normalization (for
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- both train and test)
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  type: ymoslem/IWSLT2023-GA-EN
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  metrics:
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  - name: Bleu
@@ -42,6 +40,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small GA-EN Speech Translation
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia as well as a copy of the dataset with noise reduction and normalization (for both train and test) dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3339
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  - Bleu: 30.66
 
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  name: Automatic Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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+ name: IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia, normalized
 
 
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  type: ymoslem/IWSLT2023-GA-EN
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  metrics:
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  - name: Bleu
 
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  # Whisper Small GA-EN Speech Translation
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia as well as a copy of the dataset with noise reduction and normalization (for both train and test) dataset.
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+ The datasets were processed with noise reduction and normalization (both the train and test splits).
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3339
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  - Bleu: 30.66