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README.md
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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.
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