Finding Emotion in Image Descriptions: Crowdsourced Data

Morgan Elizabeth Ulinski, Victor Soto Martinez & Julia Bell Hirschberg
This dataset contains 660 images, each annotated with descriptions and mood labels. The images were originally created by users of the WordsEye text-to-scene system (https://www.wordseye.com/) and were downloaded from the WordsEye gallery. For each image, we used Amazon Mechanical Turk to obtain: (a) a literal description that could function as a caption for the image, (b) the most relevant mood for the picture (happiness, sadness, anger, surprise, fear, or disgust), (c) a short explanation of...
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