MDID (Multimodal Document Intent Dataset)

Introduced by Kruk et al. in Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts

The Multimodal Document Intent Dataset (MDID) is a dataset for computing author intent from multimodal data from Instagram. It contains 1,299 Instagram posts covering a variety of topics, annotated with labels from three taxonomies. The samples are labelled with 7 labels of intent: Provocative, Informative, Advocative, Entertainment, Expositive, Expressive, Promotive

Source: Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts

Papers


Paper Code Results Date Stars

Tasks


Similar Datasets


License


  • Unknown

Modalities


Languages