LogicDebug-Instruct-v1 is a synthetic debugging dataset designed for supervised fine-tuning of language models on logical programming errors and wrong-answer (WA) scenarios. It includes diverse debugging tasks such as case conversion mistakes, edge-case failures, off-by-one errors, incorrect accumulators, wrong conditional logic, and sorting order bugs, along with explanations and corrected solutions. The dataset is suitable for training code debugging… See the full description on the dataset page:
https://huggingface.co/datasets/kd13/LogicDebug-Instruct-v1.
