Datasets are imperative to the development and progression of software tools, not only to facilitate a fair and unbiased evaluation of their effectiveness, but also to inspire and enable the community to advance the state of the art. In this talk, I will describe BugSwarm, an infrastructure that leverages continuous integration (CI) to automatically create a continuously growing dataset of reproducible failures and fixes. BugSwarm comprises an infrastructure, dataset, REST API, and website. The current dataset consists of 3,140 pairs of failures and fixes mined from Java and Python open-source projects. The talk will also discuss initial research studies that use the BugSwarm dataset, and future directions for the BugSwarm infrastructure.