metadata
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- n<1K
pretty_name: relentless
Dataset Card for "cardiffnlp/relentless"
RelEntLess is a new benchmark, in which entity pairs have to be ranked according to how much they satisfy a given graded relation. Essentially, the task is a ranking task where we provide five prototypical examples to each relation. Following brief description of each relation type is used in our baseline in addition to the prototypical examples. Please check our paper "A RelEntLess Benchmark for Modelling Graded Relations between Named Entities" for more detail. THe test set is private at the moment.
{
"friend/ally of": "entities that are friends or allies",
"competitor/rival of": "entities that are competitors or rivals",
"known for": "examples of what entities are known for",
"influenced by": "what has influenced different entities",
"similar to": "examples of entities that are similar"
}
Dataset Description
- Repository: https://huggingface.co/datasets/cardiffnlp/relentless
- Paper: A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
- Dataset: https://huggingface.co/datasets/cardiffnlp/relentless
Dataset Summary
relation_type | val. | test |
---|---|---|
friend/ally of | 20 | 92 |
competitor/rival of | 20 | 89 |
known for | 20 | 108 |
influenced by | 20 | 93 |
similar to | 20 | 93 |
Dataset Structure
Data Instances
{
"pairs": [["Le Corbusier", "purism art"], ["Sean Connery", "Finding Forrester"], ...],
"scores_all": [[4.0, 5.0, 3.0, 4.0, 5.0, 3.0, 5.0], [4.0, 5.0, 2, 5.0, 5.0, 4.0, 2], ...],
"scores_mean": [4.142857142857143, 3.857142857142857, 4.857142857142857, ...],
"relation_type": "known for",
"ranks": [8.5, 11, 5, 14, 15, 5, 20, 13, 1.5, 18, 10, 1.5, 17, ...],
"prototypical_examples": [["Extinction Rebellion", "Greta Thunberg"], ["Israel", "Palestine"],...]
}
Citation Information
@misc{ushio2023relentless,
title={A RelEntLess Benchmark for Modelling Graded Relations between Named Entities},
author={Asahi Ushio and Jose Camacho Collados and Steven Schockaert},
year={2023},
eprint={2305.15002},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
LICENSE
The LICENSE of all the resources are under CC-BY-NC-4.0. Thus, they are freely available for academic purpose or individual research, but restricted for commercial use.