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The sixth generation (6G) of mobile communication system is witnessing a newparadigm shift, i.e., integrated sensing-communication system. A comprehensivedataset is a prerequisite for 6G integrated sensing-communication research.This paper develops a novel simulation dataset, named M3SC, for mixedmulti-modal (MMM) sensing-communication integration, and the generationframework of the M3SC dataset is further given. To obtain multi-modal sensorydata in physical space and communication data in electromagnetic space, weutilize AirSim and WaveFarer to collect multi-modal sensory data and exploitWireless InSite to collect communication data. Furthermore, the in-depthintegration and precise alignment of AirSim, WaveFarer, and Wireless InSite areachieved. The M3SC dataset covers various weather conditions, various frequencybands, and different times of the day. Currently, the M3SC dataset contains1500 snapshots, including 80 RGB images, 160 depth maps, 80 LiDAR point clouds,256 sets of mmWave waveforms with 8 radar point clouds, and 72 channel impulseresponse (CIR) matrices per snapshot, thus totaling 120,000 RGB images, 240,000depth maps, 120,000 LiDAR point clouds, 384,000 sets of mmWave waveforms with12,000 radar point clouds, and 108,000 CIR matrices. The data processing resultpresents the multi-modal sensory information and communication channelstatistical properties. Finally, the MMM sensing-communication application,which can be supported by the M3SC dataset, is discussed.

M$^3$SC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration