Update README.md

README.md

@@ -1,10 +1,17 @@
-# EC40 MT Dataset -Shaomu Tan
+# EC40 MNMT Dataset
+
+GitHub: https://github.com/Smu-Tan/ZS-NMT-Variations/tree/main
 
 ### EC40 is an English-Centric Multilingual Machine Translation Dataset. It has over 60 Million sentences including 40 Languages across 5 Language Families. 
 
-## DO NOT Change ANYTHING in this folder.
+#### Note: The dataset is cleaned and pre-processed using tools like Moses, for more details, please refer to the paper.
+
+### Features:
+1. We carefully balanced the dataset across resources and languages by strictly maintaining each resource group containing 5 language families and each family consists of 8 representative languages.
+2. EC40 covers a wide spectrum of resource availability, ranging from High(5M) to Medium(1M), Low(100K), and extremely-Low(50K) resources.
+3. In total, there are 80 English-centric directions for training and 1,640 directions (including all supervised and ZS directions) for evaluation.
+4. We make use of Ntrex-128 and Flores-200 as our validation and test set.
 
-<br>
 
 -----
 ## Languages and Family
@@ -15,10 +22,6 @@
 | Romance    | French, Spanish, Italian, Portuguese, Romanian, Occitan, Asturian, Catalan   | 
 | Slavic	 | Russian, Czech, Polish, Bulgarian, Ukrainian, Serbian, Belarusian, Bosnian |
 | Indo-Aryan  | Hindi, Bengali, Kannada, Marathi, Sindhi, Gujarati, Nepali, Urdu |
-|
-
-<br>
-
 -----
 
 ## Dataset Stats
@@ -30,10 +33,8 @@
 | Low | af, lb, ro, oc, uk, sr, sd, gu, ti, am | 100k |
 | Extremely-Low | no, is, ast, ca, be, bs, ne, ur, kab, so | 50k |
 
-<br>
-
 -----
-## Build Fairseq dataset (Sharded)
+## Build Fairseq dataset (Shard->to avoid RAM OOM)
 
 ```
 Read toolkit/build_fairseq_sharded_dataset.sh
@@ -46,4 +47,4 @@ Read toolkit/build_fairseq_sharded_dataset.sh
 
 ```
 Read toolkit/train-EC40-mTrans-large.sh
-```
+```