Topic Labeling with Images

The dataset consists of 300 topics generated using Wikipedia articles and news articles taken from the New York Times. Each topic is represented by ten terms with the highest probability. They are also associated with 20 candidate image labels and their human ratings between 0 (lowest) and 3 (highest) denoting the appropriateness of these images for the topic.