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@@ -11,6 +11,8 @@ Baseline for continuous high-quality updates.
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  This dataset is meant to make small models more nuanced on their instruction-following skills.
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  It followed human-curated decontamination and syntax-level dedup.
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  The final dataset contains around 205k examples and we'll continue expanding it.
 
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  This dataset is meant to make small models more nuanced on their instruction-following skills.
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+ It is also useful for byte-level models since a great part of it requires granularity bpe models usually lack.
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  It followed human-curated decontamination and syntax-level dedup.
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  The final dataset contains around 205k examples and we'll continue expanding it.