The dataset is a derivative of the SINS dataset and is meant to be used as an evaluation set for the DCASE2018 Task 5 challenge. The development set to be used can be found here. The dataset is a derivative of the SINS database. The SINS database contains a continuous recording of one person living in a vacation home over a period of one week. The recordings were manually annotated on daily activity level: "Cooking", "Dishwashing", "Eating", "Social activity (visit, phone call)", "Vacuum cleaning", "Watching TV", "Working", "Presence" and "Absence". More information can be found on (please cite this papers when using the dataset): G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, “The SINS database for detection of daily activities in a home environment using an acoustic sensor network,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32–36. G. Dekkers, L. Vuegen, T. van Waterschoot, B. Vanrumste, and P. Karsmakers, “DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics,” KU Leuven, Tech. Rep., July 2018. The derivative of the SINS database, 'DCASE 2018 – Task 5 evaluation dataset' consists of data collected by 7 microphone arrays in the combined living room and kitchen area. The continuous recordings were split into audio segments of 10s. These audio segments are provided as individual files. In total 72972 segments are made available, leading to approximately 200 hours of data with annotations. More information about the challenge and the specific dataset can be found here. Information solely related to the content of the dataset is available in 'DCASE2018-task5-eval.doc.zip'. By accessing or using this database, the user accepts the provided EULA (available in DCASE2018-task5-eval.doc.zip).

{"references": ["Dekkers G., Lauwereins S., Thoen B., Adhana M., Brouckxon H., Van den Bergh B., van Waterschoot T., Vanrumste B., Verhelst M., Karsmakers P. (2017). The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network. Detection and Classification of Acoustic Scenes and Events 2017 (accepted). DCASE Workshop. M\u00fcnchen, Germany, 16-17 November 2017."]}