Omkar2118/datasets huggingface dataset:
Hi-Phy

**Hi-Phy** is a benchmark for physical reasoning that allows researchers to test individual physical reasoning capabilities. Inspired by how humans acquire these capabilities, the benchmark proposes a general hierarchy of physical reasoning capabilities with increasing complexity. this benchmark tests capabilities according to this hierarchy through generated physical reasoning tasks in the video game Angry Birds.

Introducing paper: Hi-Phy: A Benchmark for Hierarchical Physical Reasoning
VAW
Full name: Visual Attributes in the Wild

**VAW** is a large scale visual attributes dataset with explicitly labelled positive and negative attributes. 

Details: 

* 620 Unique Attributes including color, shape, texture, posture and many others
* 2,260 Unique Objects observed in the wild
* 72,274 Images from the Visual Genome Dataset
* 4 different evaluation metrics for measuring multi-faceted performance metrics

Introducing paper: Learning to Predict Visual Attributes in the Wild