LLM Addition Training Dataset (Odometer-Style Logic)
Overview
This dataset is designed to teach Large Language Models (LLMs) the foundational logic of addition through Chain-of-Thought (CoT) and Place-Value Expansion. Instead of simple $A + B = C$ pairs, this dataset forces the model to "think" through the process of splitting numbers into their constituent parts (units, tens, hundreds, thousands) and adding them step-by-step.
