Initial

README.md

@@ -10,7 +10,7 @@ license: "cc-by-4.0"
 
 # VEGA: Automatically Generating Compiler Backends Using a Pre-Trained Transformer Model
 
-VEGA is an AI-driven system aimed at easing the development burden of compiler backends for new targets. This repository contains code and data for reproducing experimental results. 
+VEGA is an AI-driven system aimed at easing the development of compiler backends for new targets. This repository contains code and data for replicating experimental results. 
 
 
 ## 1. Directory Structure
@@ -23,21 +23,21 @@ VEGA_AE
 |   └──UnixCoder
 |——Scripts
     |──Exp
-    |   |──Accuracy
+    |   |──Acc
     |   |──Correction
     |   |──ForkFlow
-    |   |──Performance
+    |   |──Perf
     |   └──Time
     └──UnixCoder
 ```
 ## 2. Hardware Dependency
 
-- 8 Nvidia Tesla V100 GPU, each with 16 GB Memory
+- 8 Nvidia Tesla V100 GPU, each with 16 GB memory.
 
 ## 3. Software Dependency
-- CUDA == 11.7
-- python version == 3.8.1
-- Conda (Any version that supports the installation of Python 3.8.1)
+- CUDA == 11.7.
+- python version == 3.8.1.
+- Conda (Any version that supports the installation of Python 3.8.1).
 
 ## 4. Installation
 
@@ -51,14 +51,14 @@ $ cd VEGA_AE
 
 - Set up a Conda virtual environment.
 
-We provide a pre-packaged conda virtual environment in ```./vega_ae.yml```, which includes specific versions of Python and required extension packages. The python environment can be directly created using the following command.
+We provide a pre-packaged conda virtual environment in ```./vega_ae.yml```, which includes specific versions of python and required extension packages. The python environment can be directly created using the following command.
 
 ```
 $ conda env create -f vega_ae.yml
 $ conda activate vega_ae
 ```
 
-The python environment can also be created using the following command.
+Alternatively, another way for creating a Conda environment is also available.
 ```
 $ conda create -n vega_ae python=3.8.1
 $ conda activate vega_ae