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HyperTSRAG: Temporal-Spatial Reasoning over Hypergraph Knowledge Structures for Multimodal Retrieval-Augmented Generation

Timothy Dillan

Zenodo (CERN European Organization for Nuclear Research), 2026

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.

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