HOD

该数据集名为HOD，包含了从简单蓝图生成的遮罩棋盘，用于训练变压器模型以重建视觉场景。该数据集包含了不同类型的标记，分别代表背景、物体和未知元素，这有助于研究变压器模型中的抽象表示。数据集的规模属于小型，其任务包括棋盘重建以及对抽象表示的理解。

Named HOD, this dataset comprises masked chessboards generated from simple blueprints, designed for training Transformer models to reconstruct visual scenes. It contains distinct types of tokens corresponding to background, objects, and unknown elements respectively, which aids in the study of abstract representations within Transformer models. As a small-scale dataset, its associated tasks include chessboard reconstruction and the comprehension of abstract representations.