Datasets:
| language: | |
| - eng | |
| - fra | |
| - deu | |
| - spa | |
| - tur | |
| 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", | |
| } | |
| ``` |