Datasets › HyperRED
HyperRED (Hyper-Relational Extraction Dataset)
HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information such as time, quantity or location. For example, the relation triplet (Leonard Parker, Educated At, Harvard University) can be factually enriched by including the qualifier (End Time, 1967). HyperRED contains 44k sentences with 62 relation types and 44 qualifier types.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Hyper-Relational Extraction | HyperRED | Text2NKG Avg. F1 83.81 | Text2NKG: Fine-Grained N-ary Relation Extraction for... | lhrlab/text2nkg | 4 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 7. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction | 1 | 1 | 8 Oct 2023 | ran 7 of 12 samples (5 unverified; 1 pointer-only for licence) |
| A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach | 1 | 3 | 18 Nov 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
cc-by-sa-3.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- HyperRED
1 variant name, as the archive lists them.
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