Omkar2118/datasets huggingface dataset:
Creative Visual Storytelling Anthology
Full name: ARL Creative Visual Storytelling Anthology

The Creative Visual Storytelling Anthology is a collection of 100 author responses to an improved creative visual storytelling exercise over a sequence of three images. Each item contains four facet entries, corresponding to Entity, Scene, Narrative, and Title. 

The Creative Visual Storytelling Anthology was collected on Amazon Mechanical Turk. Five different authors performed the task for 20 different Flickr and Search-and-Rescue image-sets ( a sequence of 3 images) for a total of 100 items in the anthology. There are 300 unique Entity and Scene entries (single-image facets completed for each image), 200 unique Narrative entries (multi-image facets performed twice with two and then three images), and 100 unique Title entries (multi-image facets completed for three images). Thus, with each one assigned a title, there are 100 unique stories in the anthology all together.

One set of images used in collecting the anthology originated from Flickr, under Creative Commons Licenses. We chose a subset of Huang et al’s VIST dataset and downselected their image sequences from five to three images to scaffold the Aristotelian dramatic structure. We do not release the Flickr images in order to track the providence of the images. The Flickr images' authors and copyright information and usage are documented in the Flickr imageset license spreadsheet.

The second source of images came from a Search and Rescue (SAR) scenario. We selected three images in-order from  experimental runs from a human-robot collaboration task, and similar sequential images were excluded for sake of diversity. The SAR images can be obtained through the SCOUT (The Situated Corpus of Understanding Transactions) dataset.

Introducing paper: Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology