The Einstein Telescope (ET), a planned third-generation gravitational-wave (GW) observatory, will offer significantly improved sensitivity, introducing new challenges for data analysis and computing. To prepare for these demands, the ET community has initiated a series of mock data challenges (MDCs) aimed at developing and testing analysis pipelines under realistic conditions. This paper presents the first ET MDC, providing an overview of the simulated dataset and the properties of the injected GW signals, with a focus on populations of compact binary coalescences and Gaussian noise. A tutorial is also included to guide users in accessing the data and performing basic analyses. This initial challenge establishes a baseline for future MDCs and supports collaborative efforts toward the successful scientific operation of the ET.

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• Gravitational waves