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Text · dataset · 2022

declare-lab/HyperRED

Listed in Hugging Face Datasets

Description

Dataset Card for HyperRED Description Repository: github.com/declare-lab/HyperRED Paper (EMNLP 2022): arxiv.org/abs/2211.10018

Summary

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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… See the full description on the dataset page: huggingface.co/datasets/declare-lab/HyperRED.

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdeclare-lab/HyperRED15 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0