We present the Revvity-25 Full Cell Segmentation Dataset, a cutting-edge 2025 benchmark designed to advance cell segmentation research. This dataset offers meticulously detailed annotations of overlapping cell cytoplasm in brightfield images, providing high-resolution labels with precise instance boundaries. It supports comprehensive evaluation across both modal and amodal segmentation tasks, making it a valuable resource for developing and benchmarking state-of-the-art segmentation algorithms.