 VINDRMAMO is a newly released Vietnamese mammography dataset containing 5,000 images with breast-level assessments and extensive lesion-level annotations. This dataset will be beneficial for researchers working on computer-aided detection and diagnosis, CATE-X, tools for mammography interpretation. It contains four standard views per image, allowing for accurate assessment of breast density and BI, RADS categories. Additionally, it includes the location and BI RADS assessment of number 9 findings, providing valuable information for further research. This article was authored by Hu Ti Nguyen, Hu Qu Nguyen, Hu H Pham, and others.