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README.md

@@ -1,61 +1,61 @@
----
-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",
-}
+---
+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",
+}
 ```