OGB is a collection of benchmark datasets covering node-level, link-level, and graph-level prediction tasks across diverse domains including scientific graphs, social networks, and knowledge graphs. It provides data loaders compatible with PyTorch Geometric and DGL, automatic dataset downloading, standardized splits, and unified performance evaluation for graph neural network models.