---
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",
}
```