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This repository is a dataset for the model specified at **House100K, House14K, Apt14K, House100KLighting datasets** used in the paper "Incorporating simulated spatial context information improves the effectiveness of contrastive learning models". For high resolution datasets or latest published datasets, such as House14KLighting and Apt14KLighting, please visit **/OSF Storage:** this folder includes Apt14k, House 100k, House14k three datasets. Under each folder, there is one '**contents**' csv file describing the trajectory as well as the spatiotemporal information, one '**RoomLabel**' csv recording the room information corresponding to each image and one zip file including images in step order. Because of limited OSF storage, we uploaded House100KLighting as an additional OneDrive folder. Under the folder, there are 9 folders named by skyboxes applied to the environment. The trajectory and room label is the same as House100K.
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