AbstractReasoning is a dataset for abstract reasoning, where the goal is to infer the correct answer from the context panels based on abstract reasoning.
40 PAPERS • NO BENCHMARKS YET
RAVEN consists of 1,120,000 images and 70,000 RPM (Raven's Progressive Matrices) problems, equally distributed in 7 distinct figure configurations.
30 PAPERS • NO BENCHMARKS YET
WebKB is a dataset that includes web pages from computer science departments of various universities. 4,518 web pages are categorized into 6 imbalanced categories (Student, Faculty, Staff, Department, Course, Project). Additionally there is Other miscellanea category that is not comparable to the rest.
29 PAPERS • 3 BENCHMARKS
PGM dataset serves as a tool for studying both abstract reasoning and generalisation in models. Generalisation is a multi-faceted phenomenon; there is no single, objective way in which models can or should generalise beyond their experience. The PGM dataset provides a means to measure the generalization ability of models in different ways, each of which may be more or less interesting to researchers depending on their intended training setup and applications.
26 PAPERS • NO BENCHMARKS YET
The People in Social Context (PISC) dataset is a dataset that focuses on social relationships. It consists of 22,670 images of 9 types of social relationships. It has annotations for the bounding boxes of all people, as well as the social relationship between all pairs of people in the images. In addition, it also contains occupation annotation.
7 PAPERS • NO BENCHMARKS YET
RAVEN-FAIR is a modified version of the RAVEN dataset.
2 PAPERS • NO BENCHMARKS YET
Consists of visual arithmetic problems automatically generated using a grammar model--And-Or Graph (AOG). These visual arithmetic problems are in the form of geometric figures: each problem has a set of geometric shapes as its context and embedded number symbols.
1 PAPER • NO BENCHMARKS YET