Lumbar vertebra anatomical region segmentation is crucial in an automated spine processing pipeline. To boost the research in automated lumbar vertebra anatomical region segmentation, we propose a new dataset called LumASe. The entire dataset consists of 663 vertebrae ranging from L1 to L5 which are cropped from lumbar spine CT scans. The data was acquired at ShengJing Hospital of China Medical University using three major manufacturers (Philips, Siemens and Toshiba). Cases with vertebral fractures, metallic implants, bone tumors and foreign materials are excluded. All 3D CT lumbar spine images have corresponding segmentation masks annotated at the voxel level by 3 physicians using the Pair annotation package. In each vertebra, we consider seven anatomical regions as the region of interest including superior articular process (SAP), vertebral body (VB), transverse process (TP), lamina (L) pedicle (P), spinous process (SP) and inferior articular process (IAP).