Cyril and Methodius University in Skopje. Source: Stories for Images-in-Sequence by using Visual and Narrative Components This research was partially funded by Pendulibrium and the Faculty of computer science and engineering, Ss. Apple Store Badge Accessibility College Policies & Procedures Cookies & Privacy Policy News Publications. All the names of people are replaced with the words male or female depending on the gender of the person. Download our app: Runshaw School Leavers. All the words and interpunction signs in the stories are separated by a space character and all the location names are replaced with the word location. The dataset is split into 3 subsets, a training set (80%), a validation set (10%) and a test set (10%). Every story has five sentences, and every sentence is paired with its appropriate image. The stories were created by workers on Amazon Mechanical Turk, where the workers were instructed to choose five images from the album and write a story about them. The albums included 10 to 50 images and all the images in an album are taken in a 48-hour span. The images were collected from albums on Flickr. The Visual Storytelling Dataset ( VIST) consists of 210,819 unique photos and 50,000 stories. All the names of people are replaced with the words male or female depending on the gender of the person. ![]() ![]() ![]() The **Visual Storytelling** Dataset (**VIST**) consists of 210,819 unique photos and 50,000 stories.
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