This article presents the DeepSense 6G dataset, which is a large-scale dataset based on real-world measurements of co-existing multi-modal sensing and communication data. The DeepSense 6G dataset is built to advance deep learning research in a wide range of applications in the intersection of multi-modal sensing, communication, and positioning. This article provides a detailed overview of the DeepSense dataset structure, adopted testbeds, data collection and processing methodology, deployment scenarios, and example applications, with the objective of facilitating the adoption and reproducibility of multi-modal sensing and communication datasets.

本文介绍了DeepSense 6G数据集，这是一个大规模的 基于共存多模式传感和多模式检测的真实测量的数据集 通信数据。DeepSense 6G数据集旨在推进深度学习 研究在多模式交叉口的广泛应用 感知、通信和定位。这篇文章提供了详细的 DeepSense数据集结构概述、采用的试验床、数据收集 以及处理方法、部署方案和示例应用程序， 其目的是促进采用和重现 多模式传感和通信数据集。