Update README.md

README.md

@@ -14,6 +14,12 @@ parallel sentences in Gurmukhi and Shahmukhi scripts. This corpus has been metic
 compiled to support the development and evaluation of neural machine transliteration (NMT)
 models for Punjabi text.
 
+## Corpus Details
+  - **Total Sentences:** 6.3 million
+  - **Domains Covered:** Various domains including CCaligned, ccmatrix, TED, QED, OPUS, TIco,
+  Wikimedia, Multicclaigned, Emille, IJCNLP, xlent, and paracrawl.
+  - **Test Corpus:** FLORES-101
+
 ## Models:
   ### <u>Gurmukhi-to-Shahmukhi Model</u>
     - **BLEU Score:** 98.1
@@ -23,12 +29,6 @@ models for Punjabi text.
   ### <u>Shahmukhi-to-Gurmukhi Model</u>
     - **BLEU Score:** 87.7
 
-## Corpus Details
-  - **Total Sentences:** 6.3 million
-  - **Domains Covered:** Various domains including CCaligned, ccmatrix, TED, QED, OPUS, TIco,
-  Wikimedia, Multicclaigned, Emille, IJCNLP, xlent, and paracrawl.
-  - **Test Corpus:** FLORES-101
-
 ## Usage
 These resources are intended to facilitate research and development in the field of Punjabi
 transliteration. They can be used to train new models or improve existing ones, enabling high-quality