Create README.md

README.md

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+---
+language:
+- en
+- fr
+- de
+- es
+- tr
+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"
+---
+
+> [!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",
+}
+```