metadata
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- n<1K
pretty_name: Analogy Question
Dataset Card for "relbert/analogy_questions"
Dataset Description
- Repository: RelBERT
- Paper: https://aclanthology.org/2021.acl-long.280/
- Dataset: Analogy Questions
Dataset Summary
This dataset contains 5 different word analogy questions used in Analogy Language Model.
name | Size (valid/test) | Num of choice | Num of relation group | Original Reference |
---|---|---|---|---|
sat_full |
-/374 | 5 | 2 | Turney (2005) |
sat |
37/337 | 5 | 2 | Turney (2005) |
u2 |
24/228 | 5,4,3 | 9 | EnglishForEveryone |
u4 |
48/432 | 5,4,3 | 5 | EnglishForEveryone |
google |
50/500 | 4 | 2 | Mikolov et al., (2013) |
bats |
199/1799 | 4 | 3 | Gladkova et al., (2016) |
Dataset Structure
Data Instances
An example of test
looks as follows.
{
"stem": ["raphael", "painter"],
"answer": 2,
"choice": [["andersen", "plato"],
["reading", "berkshire"],
["marx", "philosopher"],
["tolstoi", "edison"]]
}
The stem
is the query word pair, choice
has word pair candidates,
and answer
indicates the index of correct candidate which starts from 0
.
All data is lowercased except Google dataset.
Citation Information
@inproceedings{ushio-etal-2021-bert-is,
title ={{BERT} is to {NLP} what {A}lex{N}et is to {CV}: {C}an {P}re-{T}rained {L}anguage {M}odels {I}dentify {A}nalogies?},
author={Ushio, Asahi and
Espinosa-Anke, Luis and
Schockaert, Steven and
Camacho-Collados, Jose},
booktitle={Proceedings of the {ACL}-{IJCNLP} 2021 Main Conference},
year={2021},
publisher={Association for Computational Linguistics}
}
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.