We introduce BlendQA, a challenging benchmark specially tailored for heterogeneous knowledge reasoning.
BlendQA assesses a RAG system's ability to conduct flexible cross-knowledge source retrieval between reasoning steps.
We construct BlendQA across three heterogeneous knowledge sources: a full Wikipedia dump as the local text corpus, Google as the web search engine, and Wikidata as the structured knowledge graph.
BlendQA is carefully constructed through… See the full description on the dataset page:
https://huggingface.co/datasets/THU-KEG/BlendQA.
