In July 2025, Yuhan Liu integrated the COVR dataset into the tensorflow/datasets repository, focusing on enabling reproducible experiments for multimodal machine learning tasks. Yuhan engineered the dataset packaging to support both image and text data, facilitating research in common sense reasoning and natural language understanding. The integration included detailed metadata, download configurations for multiple image sources, and robust example generation logic. Using Python and leveraging data engineering and dataset creation skills, Yuhan ensured the dataset was structured for seamless use within TensorFlow Datasets. The work demonstrated depth in handling complex data modalities and contributed to the broader machine learning community.