Omkar2118/datasets huggingface dataset:
SUN
Full name: SUN Database

When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. Despite of this overflow of visual information, humans are extremely good at remembering thousands of pictures along with some of their visual details. But not all images are equal in memory. Some stitch to our minds, and other are forgotten. In this paper we focus on the problem of predicting how memorable an image will be. We show that memorability is a stable property of an image that is shared across different viewers. We introduce a database for which we have measured the probability that each picture will be remembered after a single view. We analyze image features and labels that contribute to making an image memorable, and we train a predictor based on global image descriptors. We find that predicting image memorability is a task that can be addressed with current computer vision techniques. Whereas making memorable images is a challenging task in visualization and photography, this work is a first attempt to quantify this useful quality of images.

Introducing paper: What makes an image memorable?
Hutter Prize

The Hutter Prize Wikipedia dataset, also known as enwiki8, is a byte-level dataset consisting of the first 100 million bytes of a Wikipedia XML dump. For simplicity we shall refer to it as a character-level dataset. Within these 100 million bytes are 205 unique tokens.

Source: [NLP Progress](http://nlpprogress.com/english/language_modeling.html)
Text8

Desc: [About of Text8](http://mattmahoney.net/dc/textdata.html)
FM-IQA
Full name: Freestyle Multilingual Image Question Answering

**FM-IQA** is a question-answering dataset containing over 150,000 images and 310,000 freestyle Chinese question-answer pairs and their English translations.

Source: [Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering](/paper/are-you-talking-to-a-machine-dataset-and)

Introducing paper: Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering