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@@ -100,23 +100,19 @@ Each example includes:
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  ],
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  "conceptual_takeaway": "..."
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  }
 
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- Intended use
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  This dataset is suitable for:
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- supervised fine-tuning on step-by-step mathematical reasoning
 
 
 
 
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- multi-solution reasoning behavior
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-
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- answer verification and self-check training
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-
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- error detection and correction tasks
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-
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- curriculum-style difficulty experiments
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- Notes
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  The dataset is synthetic and intentionally structured for reasoning quality.
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@@ -126,8 +122,7 @@ The error catalogue is designed to model common student and model mistakes.
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  The prompts are intentionally consistent in style to make reasoning supervision easier.
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-
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- Limitations
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  The dataset is not a collection of real-world student work.
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@@ -135,8 +130,7 @@ The writing style is intentionally template-like, which may reduce natural-langu
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  The dataset focuses on mathematical reasoning and does not aim to cover general open-domain QA.
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-
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- Citation
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  If you use this dataset, please cite it as:
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  ],
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  "conceptual_takeaway": "..."
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  }
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+ ```
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+ ## Intended use
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  This dataset is suitable for:
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+ - supervised fine-tuning on step-by-step mathematical reasoning
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+ - multi-solution reasoning behavior
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+ - answer verification and self-check training
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+ - error detection and correction tasks
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+ - curriculum-style difficulty experiments
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+ ## Notes
 
 
 
 
 
 
 
 
 
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  The dataset is synthetic and intentionally structured for reasoning quality.
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  The prompts are intentionally consistent in style to make reasoning supervision easier.
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+ ## Limitations
 
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  The dataset is not a collection of real-world student work.
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  The dataset focuses on mathematical reasoning and does not aim to cover general open-domain QA.
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+ ## Citation
 
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  If you use this dataset, please cite it as:
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