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README.md

@@ -6,8 +6,9 @@ language:
 - eng
 ---
 
-News En-Id is a machine translation dataset containing Indonesian-English parallel sentences collected from the news. The news dataset is collected from multiple sources: Pan Asia Networking Localization (PANL), Bilingual BBC news articles, Berita Jakarta, and GlobalVoices. We split the dataset and use 75% as the training set, 10% as the validation set, and 15% as the test set. Each of the datasets is evaluated in both directions, i.e., English to Indonesian (En → Id) and Indonesian to English (Id → En) translations.
+# news_en_id
 
+News En-Id is a machine translation dataset containing Indonesian-English parallel sentences collected from the news. The news dataset is collected from multiple sources: Pan Asia Networking Localization (PANL), Bilingual BBC news articles, Berita Jakarta, and GlobalVoices. We split the dataset and use 75% as the training set, 10% as the validation set, and 15% as the test set. Each of the datasets is evaluated in both directions, i.e., English to Indonesian (En → Id) and Indonesian to English (Id → En) translations.
 
 ## Dataset Usage
 
@@ -15,7 +16,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@inproceedings{guntara-etal-2020-benchmarking,
+```
+@inproceedings{guntara-etal-2020-benchmarking,
     title = "Benchmarking Multidomain {E}nglish-{I}ndonesian Machine Translation",
     author = "Guntara, Tri Wahyu  and
       Aji, Alham Fikri  and
@@ -38,6 +40,8 @@ Creative Commons Attribution Share-Alike 4.0 International
 
 ## Homepage
 
+[https://github.com/gunnxx/indonesian-mt-data](https://github.com/gunnxx/indonesian-mt-data)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)