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@@ -81,7 +81,7 @@ It can give false negatives and false positives on occasion (see Training Result
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  ## Training and evaluation data
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- More information needed
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  ## Usage
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  ```python
 
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  ## Training and evaluation data
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+ The model is trained using the Natural Questions dataset, with answers that have been refined using GPT-3.5 Turbo. It is evaluated using a number of metrics including BLEU, ROUGE, METEOR, and cosine similarity.
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  ## Usage
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  ```python