Abstract Background Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains. The assessment of dataset quality stands as a pivotal precursor to the successful deployment of ML models. In this study. we introduce DREAMER (Data REAdiness for MachinE learning Research). https://poolsproductscanadas.shop/product-category/hayward-puck-feeder-parts/