BRINK (Benchmark for Reasoning under Incomplete Knowledge) is a benchmark for evaluating Knowledge Graph–based Retrieval-Augmented Generation (KG-RAG) under incomplete knowledge. Unlike standard KGQA benchmarks, BRINK is designed so that each question cannot be answered by directly retrieving a single explicit supporting triple. Instead, the answer must be inferred from alternative reasoning paths that remain in the graph after the directly supporting fact is… See the full description on the dataset page:
https://huggingface.co/datasets/ZDZR/BRINK-Wikidata5m.
