This bill requires the Director of the National Institute of Standards and Technology (NIST) to develop voluntary guidelines for federal agencies on preparing datasets, including open Government data assets , to train artificial intelligence models. NIST will consult with the Office of Science and Technology Policy, the Department of Energy, the Office of Management and Budget, and other relevant agencies. The guidelines aim to ensure that federal data is suitable and interpretable for AI development across various government functions. The guidelines must address critical aspects such as data formatting and structure for AI interpretability, data labeling and annotation using scalable methods, and comprehensive data quality evaluation . They will also cover requirements for metadata and documentation , guidance for ongoing data maintenance , and strategies for enhancing data availability for AI model development. The bill mandates that these guidelines allow for flexible implementation across diverse sectors and scientific domains, while also ensuring consistency with existing federal policies like OMB Circular A-119. Additionally, NIST may conduct pilot programs , each lasting no more than one year, to support the development of conformity assessment procedures for AI-ready datasets in specific sectors. These programs will prioritize areas of national security and industrial competitiveness, such as biotechnology and biomanufacturing, where federal agencies maintain significant AI-ready datasets. The pilots will assess guideline impact, identify implementation challenges, and develop processes for transitioning guidelines to non-Federal entities, with NIST providing annual congressional briefings for five years.