added dataset

README.md

@@ -21,7 +21,7 @@ Local laws are often written in dense legal terminology that the average person
 
 ## 2. Data
 
-For the RAG pipeline, the knowledge base consists of the unedited Charlottesville Municipal Code text, scraped and pre-processed from [Municode](https://library.municode.com/va/charlottesville/codes/code_of_ordinances). These chunks were not rephrased, ensuring that the retrieval mechanism pulls the exact letter of the law. To evaluate the RAG pipeline, I utilized a set of questions and answers generated from the original sections of the municipal code to validate retrieval accuracy (checking if the retrieved node matched the ground truth node for a given query).
+For the RAG pipeline, the knowledge base consists of the unedited Charlottesville Municipal Code text, scraped and pre-processed from [Municode](https://library.municode.com/va/charlottesville/codes/code_of_ordinances). These chunks were not rephrased, ensuring that the retrieval mechanism pulls the exact letter of the law. To evaluate the RAG pipeline, I utilized a set of questions and answers generated from the original sections of the municipal code to validate retrieval accuracy (checking if the retrieved node matched the ground truth node for a given query). This dataset can be found at [jme-datasci/charlottesville_qa](https://huggingface.co/datasets/jme-datasci/charlottesville_qa/tree/main).
 
 ## 3. Methodology