declare-lab/HyperRED
Dataset Card for HyperRED Description Repository: https://github.com/declare-lab/HyperRED Paper (EMNLP 2022): https://arxiv.org/abs/2211.10018 Summary 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… See the full description on the dataset page: https://huggingface.co/datasets/declare-lab/HyperRED.
| Author / organization | declare-lab |
|---|---|
| License (as declared) | cc-by-sa-3.0 |
| Downloads | 274 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 22 November 2022 |
| Last updated at source | 23 November 2022 |
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274 now (+23 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Card for HyperRED Description Repository: https://github.com/declare-lab/HyperRED Paper (EMNLP 2022): https://arxiv.org/abs/2211.10018 Summary HyperRED is a dataset for the new task of hyper-relational extraction, which extracts rel → Dataset Card for HyperRED Description Repository: https://github.com/declare-lab/HyperRED Paper (EMNLP 2022): https://arxiv.org/abs/2211.10018 Summary HyperRED is a dataset for the new task of hyper-relational extraction, which extracts rel
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