Fix to readme

README.md

@@ -9,12 +9,16 @@ The development and test sets consist of 500 and 1000 sentences respectively. Bo
 
 The training set for English--Creole contains 21,810 lines.
 The training set for French--Creole contains 15,239 lines.
-Additionally, we extract a trilingual English-French-Creole training set of 13,861 lines.
+Additionally, one can extract a trilingual English-French-Creole training set of 13,861 lines using Creole as a pivot.
 
 Finally, we also provide a Creole monolingual corpus of 45,364 lines.
 
 Note that a significant portion of the dataset is a dictionary of word pairs/triplets, nevertheless it is a start.
 
+Usage: (TODO: beautify)
+1. Using huggingface datasets: load_dataset("prajdabre/MorisienMT", "en-cr", split="train")
+2. Convert to moses format: load the dataset as in step 1, each item is a json object so iterate over the loaded dataset object and use the key and value, "input" and "target" respectively, to get the translation pairs.
+
 Feel free to use the dataset for your research but don't forget to attribute our upcoming paper which will be uploaded to arxiv shortly.
 
 Note: MorisienMT was originally partly developed by Dr Aneerav Sukhoo from the University of Mauritius in 2014 when he was a visiting researcher in IIT Bombay.