This article discusses the challenges and methodologies for creating a reliable groundtruth dataset for search evaluation. It highlights the use of TREC Pooling and GPT-4o assisted ranking to overcome the labor-intensive process of manual labeling, ensuring high-quality search evaluations even with limited data.