During March 2025, Shaozhou contributed to the huggingface/open-r1 repository by focusing on reliability and data handling improvements. He addressed two critical bugs, enhancing the platform’s robustness and extensibility. Using Python, he refactored the get_reward_funcs logic to accept the full script_args object, resolving issues with reward function lookups and ensuring correct retrieval. Additionally, he improved dataset parsing by introducing a configurable prompt column, allowing the system to handle datasets lacking a default 'problem' field. His work demonstrated careful input handling, configuration management, and data preprocessing, resulting in more flexible experimentation and smoother integration of diverse datasets into the workflow.