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@@ -38,7 +38,7 @@ Each example in the dataset represents roughly 1-2 sentences and contains the fo
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  ## Dataset Creation
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- To split the long-form audio recordings and the corresponding "gold standard" texts into short audio clips, the gold text was segmented into individual sentences. To approximate the location of each sentence within the long audio file, a pre-trained whisper-large-v3 model was used to generate a rough transcript of the entire audio. A fuzzy string matching algorithm was used to find the location of each gold-standard sentence within the noisy Whisper transcript, providing estimated start and end timestamps. The curator personally verified and adjusted the segment endpoints to ensure they precisely aligned with the sentence text.
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  # Credits and Acknowledgements
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  ## Dataset Creation
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+ To split the long-form audio recordings and the corresponding "gold standard" texts into short audio clips, the gold text was segmented into individual sentences. To approximate the location of each sentence within the long audio file, a untrained whisper-large-v3 model was used to generate a rough transcript of the entire audio. A fuzzy string matching algorithm was used to find the location of each gold-standard sentence within the noisy Whisper transcript, providing estimated start and end timestamps. The curator personally verified and adjusted the segment endpoints to ensure they precisely aligned with the sentence text.
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  # Credits and Acknowledgements
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