Datasets:
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---
language:
- en
- fr
- de
- es
- tr
multilinguality:
- multilingual
configs:
- config_name: en
data_files:
- split: train
path: RELX_en.txt
- config_name: fr
data_files:
- split: train
path: RELX_fr.txt
- config_name: de
data_files:
- split: train
path: RELX_de.txt
- config_name: es
data_files:
- split: train
path: RELX_es.txt
- config_name: tr
data_files:
- split: train
path: RELX_tr.txt
task_categories:
- translation
---
> [!NOTE]
> Dataset origin: https://github.com/boun-tabi/RELX
## RELX
This dataset contains 502 parallel sentences in 5 different languages with 18 relations with direction and no_relation in total of 37 categories (18x2+1).
English part of this dataset is selected from KBP37 (Zhang and Wang,2015) test set. French, German, Spanish, and Turkish is proposed by our work.
We followed file format in KBP37.
## Citation
```
@inproceedings{koksal-ozgur-2020-relx,
title = "The {RELX} Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification",
author = {K{\"o}ksal, Abdullatif and
{\"O}zg{\"u}r, Arzucan},
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.findings-emnlp.32",
doi = "10.18653/v1/2020.findings-emnlp.32",
pages = "340--350",
}
``` |