PG-SB unifies ten datasets (five real, five synthetic) covering the domains of social networks, neuroscience connectomes, biomedicine, finance/leaks, communications, stream analytics, and internet measurements. For each dataset, we provide the ground-truth schema and enumerate the corresponding type patterns (node/edge patterns) observed in the data, capturing the structural variability of label and property co-occurrence. The benchmark includes a noise injection framework that (i) randomly removes 0-40 % of node/edge properties and (ii) varies label availability across three settings: 100% (all labels retained), 50% (half retained), and 0% (no labels), summing up to 150 test cases.(All dataset resources are inside the datasets.zip)