  This paper describes the MediaEval 2020 \textit{Predicting Media
Memorability} task. After first being proposed at MediaEval 2018, the
Predicting Media Memorability task is in its 3rd edition this year, as the
prediction of short-term and long-term video memorability (VM) remains a
challenging task. In 2020, the format remained the same as in previous
editions. This year the videos are a subset of the TRECVid 2019 Video-to-Text
dataset, containing more action rich video content as compared with the 2019
task. In this paper a description of some aspects of this task is provided,
including its main characteristics, a description of the collection, the ground
truth dataset, evaluation metrics and the requirements for participants' run
submissions.
