  Learning-based visual data compression and analysis have attracted great
interest from both academia and industry recently. More training as well as
testing datasets, especially good quality video datasets are highly desirable
for related research and standardization activities. Tencent Video Dataset
(TVD) is established to serve various purposes such as training neural
network-based coding tools and testing machine vision tasks including object
detection and tracking. TVD contains 86 video sequences with a variety of
content coverage. Each video sequence consists of 65 frames at 4K (3840x2160)
spatial resolution. In this paper, the details of this dataset, as well as its
performance when compressed by VVC and HEVC video codecs, are introduced.
