Drawing from discussions at the inaugural DMLR workshop at ICML 2023 and
meetings prior, in this report we outline the relevance of community engagement
and infrastructure development for the creation of next-generation public
datasets that will advance machine learning science. We chart a path forward as
a collective effort to sustain the creation and maintenance of these datasets
and methods towards positive scientific, societal and business impact.

基于 2023 年 ICML 的 DMLR 研讨会和之前的会议讨论，我们概述了社区参与和基础设施发展对于创建推进机器学习科学的下一代公共数据集的重要性。作为一项集体努力，我们提出了一条前进的道路，以确保这些数据集和方法的持续创建和维护，以实现科学、社会和商业的积极影响。