Adaptive Streaming Playback Statistics Dataset

We propose dataset capturing statistics of several large-scale real-world streaming events, delivering videos to different devices (TVs, desktops, mobiles, tablets, etc.), and over different networks (from 2.5G, 3G, and other early generation mobile networks to 5G and broadband). The data we capture include network-related statistics, playback statistics (session- and player-event-level), and characteristics of the encoded streams. Such data should enable a broad level of possible applications and uses in the research community: from analysis of the effectiveness of algorithms in streaming players to studies of QoE metrics, and end-to-end system optimizations. Examples of such possible studies based on the proposed datasets are also provided.