Update README.md
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README.md
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@@ -81,6 +81,7 @@ Reformatted from `stanfordnlp/SHP` dataset. To make it consistent with other pre
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if score > threshold:
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return 10.0
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# linearly map the rest
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return 5.0 + (score / 78) * 5.0
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```
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to respect the `score_ratio` in the original dataset, we use it to model score difference between the chosen and the rejected score. Therefore, the rejected score is calculated by:
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if score > threshold:
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return 10.0
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# linearly map the rest
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# start with 5.0 because we assume that any human written reponses that can receive any upvote should already reflect decent quality
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return 5.0 + (score / 78) * 5.0
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```
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to respect the `score_ratio` in the original dataset, we use it to model score difference between the chosen and the rejected score. Therefore, the rejected score is calculated by:
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