[Docs] Updates for SDG README

Signed-off-by: Kelly Brown <[email protected]>

README.md

@@ -1,8 +1,69 @@
-# sdg
+# Synthetic Data Generation (SDG)
 
 ![Lint](https://github.com/instructlab/sdg/actions/workflows/lint.yml/badge.svg?branch=main)
 ![Build](https://github.com/instructlab/sdg/actions/workflows/pypi.yaml/badge.svg?branch=main)
 ![Release](https://img.shields.io/github/v/release/instructlab/sdg)
 ![License](https://img.shields.io/github/license/instructlab/sdg)
 
 Python library for Synthetic Data Generation
+
+## Introduction
+
+Synthetic Data Generation (SDG) is a process that creates an artificially generated dataset that mimics real data based on provided examples. SDG uses a YAML file containing question-and-answer pairs as input data.
+
+## Installing the SDG library
+
+Clone the library and navigate to the repo:
+
+```
+git clone https://github.com/instructlab/sdg
+cd sdg
+```
+
+Install the library:
+
+```
+pip install .
+```
+
+## Using the library
+
+You can use the SDG library with the following items
+
+```bash
+ from instructlab.sdg.generate_data import generate_data
+ from instructlab.sdg.utils import GenerateException
+```
+
+<!--Not sure what more your thinking of adding here -->
+
+## Pipelines
+
+There are four pipelines that are used in SDG. Each pipeline requires specific hardware specifications. 
+<!--TODO: Add explanations of pipelines-->
+
+*Full* -
+
+*Simple* -
+
+*Schema* -
+
+<!--TODO: Add content here-->
+
+## Repository structure
+
+```
+|-- sdg/src/instructlab/pipelines/ (1)
+|-- sdg/src/instructlab/configs/ (2)
+|-- sdg/src/instructlab/utils/ (3)
+|-- sdg/docs/ (4)
+|-- sdg/scripts/ (5)
+|-- sgd/tests/ (6)
+```
+
+1. Contains the YAML code that configures the SDG pipelines
+2.
+3.
+4.
+5.
+6. Contains all the CI tests for the SDG repository