sileod/reasoning-core

This tool generates high-quality, diverse textual datasets for training and evaluating large language models (LLMs). It takes descriptions of symbolic and algorithmic tasks, like formal logic problems or arithmetic, and outputs complex question-answer pairs. It is designed for AI researchers and machine learning engineers who need large volumes of specialized synthetic data to improve LLM reasoning capabilities.