Creating a Multimodal Dataset of Images and Textto Study Abusive Language
Table 1: Number of pictures in the dataset with at least n judgments (‘yes’/‘no’) and number of comments.
['Pictures with ↓ … and having →', 'At least 1 comment', '(Total comments)', 'No comments']
Overall, 95 students were involved in the annotation. The sessions were organised so that different school classes annotated the same set of images, in order to collect multiple annotations on the same pictures. Overall, 17,912 images have been judged at least once by the students. For 1,018 of them, at least an offensive comment has been written during the annotation sessions. Overall, the number of comments in the dataset is 1,135, which is higher than the number of pictures with a comment because the same image may be commented more than once by different students. Note that the number of judgements refers to the ‘yes/no’ option selected by users in the first platform view, while the number of comments refers only to the images tagged with a ‘yes’, for which a student wrote also a comment.