056: Code Refactoring

2 files changed, 18 insertions, 22 deletions

diff --git a/README.md b/README.md
index 813cc5d..7fb1e25 100644
--- a/README.md
+++ b/README.md
@@ -11,22 +11,18 @@ With TransQuest, we have opensourced our research in translation quality estimat
 - Pre-trained quality estimation models for fifteen language pairs.  
 
 ## Table of Contents
-1. [Installation](https://tharindudr.github.io/TransQuest/install/) 
-Install TransQuest locally using pip. 
-2. Architectures
-Checkout the architectures implemented in TransQuest
-    1. [Sentence-level Architectures](https://tharindudr.github.io/TransQuest/sentence_level_architectures/) - We have released two architectures; MonoTransQuest and SiameseTransQuest to perform sentence level quality estimation.
-    2. [Word-level Architecture](https://tharindudr.github.io/TransQuest/word_level_architecture/) - We have released MicroTransQuest to perform word level quality estimation. 
-3. Examples
-We have provided several examples on how to use TransQuest in recent WMT quality estimation shared tasks.
-    1. [Sentence-level Examples](https://tharindudr.github.io/TransQuest/sentence_level_examples/)
-    2. [Word-level Examples](https://tharindudr.github.io/TransQuest/word_level_examples/)
-4. Pre-trained Models
-We have provided pretrained quality estimation models for fifteen language pairs covering both sentence-level and word-level
-    1. [Sentence-level Models](https://tharindudr.github.io/TransQuest/sentence_level_pretrained/)
-    2. [Sentence-level Models](https://tharindudr.github.io/TransQuest/sentence_level_pretrained/)
-5. [Contact](https://tharindudr.github.io/TransQuest/contact/)
-Contact us for any issues with TransQuest
+1. **[Installation](https://tharindudr.github.io/TransQuest/install/)** - Install TransQuest locally using pip. 
+2. **Architectures** - Checkout the architectures implemented in TransQuest
+    1. [Sentence-level Architectures](https://tharindudr.github.io/TransQuest/architectures/sentence_level_architectures/) - We have released two architectures; MonoTransQuest and SiameseTransQuest to perform sentence level quality estimation.
+    2. [Word-level Architecture](https://tharindudr.github.io/TransQuest/architectures/word_level_architecture/) - We have released MicroTransQuest to perform word level quality estimation. 
+3. **Examples** - We have provided several examples on how to use TransQuest in recent WMT quality estimation shared tasks.
+    1. [Sentence-level Examples](https://tharindudr.github.io/TransQuest/examples/sentence_level_examples/)
+    2. [Word-level Examples](https://tharindudr.github.io/TransQuest/examples/word_level_examples/)
+4. **Pre-trained Models** - We have provided pretrained quality estimation models for fifteen language pairs covering both sentence-level and word-level
+    1. [Sentence-level Models](https://tharindudr.github.io/TransQuest/models/sentence_level_pretrained/)
+    2. [Sentence-level Models](https://tharindudr.github.io/TransQuest/models/word_level_pretrained/)
+5. **[Contact](https://tharindudr.github.io/TransQuest/contact/)** - Contact us for any issues with TransQuest
+
 
 ## Resources
 - [Research Seminar](https://youtu.be/xbsbHUVVF3s) done on 1st of October 2020 in [RGCL](http://rgcl.wlv.ac.uk/2020/09/24/research-seminar/) and the [slides](https://www.slideshare.net/TharinduRanasinghe1/transquest-238713809).
diff --git a/docs/index.md b/docs/index.md
index 5e3af19..3f9b5a5 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -15,14 +15,14 @@ With TransQuest, we have opensourced our research in translation quality estimat
 ## Table of Contents
 1. **[Installation](https://tharindudr.github.io/TransQuest/install/)** - Install TransQuest locally using pip. 
 2. **Architectures** - Checkout the architectures implemented in TransQuest
-    1. [Sentence-level Architectures](https://tharindudr.github.io/TransQuest/sentence_level_architectures/) - We have released two architectures; MonoTransQuest and SiameseTransQuest to perform sentence level quality estimation.
-    2. [Word-level Architecture](https://tharindudr.github.io/TransQuest/word_level_architecture/) - We have released MicroTransQuest to perform word level quality estimation. 
+    1. [Sentence-level Architectures](https://tharindudr.github.io/TransQuest/architectures/sentence_level_architectures/) - We have released two architectures; MonoTransQuest and SiameseTransQuest to perform sentence level quality estimation.
+    2. [Word-level Architecture](https://tharindudr.github.io/TransQuest/architectures/word_level_architecture/) - We have released MicroTransQuest to perform word level quality estimation. 
 3. **Examples** - We have provided several examples on how to use TransQuest in recent WMT quality estimation shared tasks.
-    1. [Sentence-level Examples](https://tharindudr.github.io/TransQuest/sentence_level_examples/)
-    2. [Word-level Examples](https://tharindudr.github.io/TransQuest/word_level_examples/)
+    1. [Sentence-level Examples](https://tharindudr.github.io/TransQuest/examples/sentence_level_examples/)
+    2. [Word-level Examples](https://tharindudr.github.io/TransQuest/examples/word_level_examples/)
 4. **Pre-trained Models** - We have provided pretrained quality estimation models for fifteen language pairs covering both sentence-level and word-level
-    1. [Sentence-level Models](https://tharindudr.github.io/TransQuest/sentence_level_pretrained/)
-    2. [Sentence-level Models](https://tharindudr.github.io/TransQuest/sentence_level_pretrained/)
+    1. [Sentence-level Models](https://tharindudr.github.io/TransQuest/models/sentence_level_pretrained/)
+    2. [Sentence-level Models](https://tharindudr.github.io/TransQuest/models/word_level_pretrained/)
 5. **[Contact](https://tharindudr.github.io/TransQuest/contact/)** - Contact us for any issues with TransQuest
 
 ## Resources