HyperTSRAG: Temporal-Spatial Reasoning over Hypergraph Knowledge Structures for Multimodal Retrieval-Augmented Generation
Abstract
This dataset supports the evaluation of HyperTSRAG and baseline retrieval-augmented generation systems, comprising processed corpus data, annotated queries across five complexity categories (simple lookup, relationship discovery, temporal filtering, spatial reasoning, and complex multi-hop reasoning), hypergraph knowledge structures with entity and hyperedge nodes.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 January 2026
- Document type
- Dataset