Worked on improving the reliability of data ingestion for the huggingface/smollm repository by addressing a configuration issue related to dataset paths. Focused on debugging and correcting YAML formatting across multiple configuration files, ensuring that lists of dataset paths were consistently recognized by the system. This fix prevented errors during data loading and pre-training, directly enhancing the stability of the model training pipeline. Utilized skills in configuration management and YAML to resolve cross-file consistency challenges. The work did not introduce new features but contributed to reducing operational risk and maintaining robust data workflows within the existing infrastructure for the project.