The sound field inside a room depends on many factors, such as the room shape, the absorption characteristics of the materials that comprise the bounding surfaces, the furniture present in the room, and the source position and its acoustic characteristics. An increasing number of publicly available room impulse response (RIR) databases that aim to provide detailed descriptions of interior sound fields can be found in the literature. These databases can be utilized in research as well as in the development and verification of signal processing algorithms that use this information on the acoustic environment. The availability of many RIR databases covering diverse scenarios is beneficial to the community. This paper describes a measurement campaign for large-scale RIR measurements on a dense spatial grid and introduces the Multi-Purpose RIR (MP-RIR) dataset. The measurement system uses a robot with a rotating arm that operates as a linear guide for a vertical linear array of eight omni-directional microphones. Four different sources at eight positions have been used to measure 68736 RIRs on a 3D grid inside a complex-shaped room. A detailed description of the room and selected analyses of room acoustic parameters based on the dataset are presented.
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