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

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 reason

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CreatorTimothy Dillan
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Published2026-04-25
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DOI10.5281/zenodo.19764853
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Downloads346
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Licensecc-by-4.0
File Size94.9 MB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views221
Total Downloads346

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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HyperTSRAG: Temporal-Spatial Reasoning over Hypergraph Knowledge Structures for… (Full Dataset)94.9 MB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Timothy Dillan (2026). HyperTSRAG: Temporal-Spatial Reasoning over Hypergraph Knowledge Structures for Multimodal Retrieval-Augmented Generation. https://doi.org/10.5281/zenodo.19764853