Visual Beliefs

Introduced by Eysenbach et al. in Who is Mistaken?

Visual Beliefs is a dataset of abstract scenes to study visual beliefs. The dataset consists of 8-frame scenes, and in each scene a person has a mistaken belief. The dataset can be used for two tasks: predicting who is mistaken and predicting when are they mistaken.

Source: Who is Mistaken?

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