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Correct the instruction fine-tuning data list

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  1. README.md +1 -1
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@@ -48,7 +48,7 @@ ds = load_dataset("littlelearner/LittleCurriculum-Chat", "general_knowledge")
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  ## Related data
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  For instruction fine-tuning we additionally used SmolTalk, MMLU
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- auxiliary-train and ARC, each filtered with our pipeline. For GRPO we used
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  grade-stratified synthetic problems from the MathCAMPS pipeline alongside
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  GSM8K, again filtered with our pipeline. We do not redistribute these — they
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  derive from public datasets and reproduce in one command:
 
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  ## Related data
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  For instruction fine-tuning we additionally used SmolTalk, MMLU
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+ auxiliary-train and GSM8K, each filtered with our pipeline. For GRPO we used
52
  grade-stratified synthetic problems from the MathCAMPS pipeline alongside
53
  GSM8K, again filtered with our pipeline. We do not redistribute these — they
54
  derive from public datasets and reproduce in one command: