README.md

metadata

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

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",
}