  With the rapid development and usage of Internet-of-Things (IoT) and
smart-home devices, researchers continue efforts to improve the "smartness" of
those devices to address daily needs in people's lives. Such efforts usually
begin with understanding evolving user behaviors on how humans utilize the
devices and what they expect in terms of their behavior. However, while
research efforts abound, there is a very limited number of datasets that
researchers can use to both understand how people use IoT devices and to
evaluate algorithms or systems for smart spaces. In this paper, we collect and
characterize more than 50,000 recipes from the online If-This-Then-That (IFTTT)
service to understand a seemingly straightforward but complicated question:
"What kinds of behaviors do humans expect from their IoT devices?"
