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The problem of task planning for artificial agents remains largely unsolved.While there has been increasing interest in data-driven approaches for thestudy of task planning for artificial agents, a significant remainingbottleneck is the dearth of large-scale comprehensive task-based datasets. Inthis paper, we present ActioNet, an interactive end-to-end platform for datacollection and augmentation of task-based dataset in 3D environment. UsingActioNet, we collected a large-scale comprehensive task-based dataset,comprising over 3000 hierarchical task structures and videos. Using thehierarchical task structures, the videos are further augmented across 50different scenes to give over 150,000 video. To our knowledge, ActioNet is thefirst interactive end-to-end platform for such task-based dataset generationand the accompanying dataset is the largest task-based dataset of suchcomprehensive nature. The ActioNet platform and dataset will be made availableto facilitate research in hierarchical task planning.

Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment