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@@ -91,8 +91,7 @@ high_quality = ds["train"].filter(lambda x: x["quality_score"] >= 0.5)
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  ### Splits
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  - **train** (90%): For training
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- - **test** (5%): For evaluation
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- - **validation** (5%): For validation
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  Splits are deterministic by repository (all files from a repo go to the same split).
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  ### Splits
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  - **train** (90%): For training
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+ - **test** (10%): For evaluation
 
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  Splits are deterministic by repository (all files from a repo go to the same split).
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