Update README.md

README.md

@@ -3,8 +3,8 @@
 ## Abstract
 The rapid evolution of digital sports media necessitates sophisticated information retrieval systems that can efficiently parse extensive multimodal datasets. This work introduces SoccerRAG, an innovative framework designed to harness the power of Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to extract soccer-related information through natural language queries. By leveraging a multimodal dataset, SoccerRAG supports dynamic querying and automatic data validation, enhancing user interaction and accessibility to sports archives. Our evaluations indicate that SoccerRAG effectively handles complex queries, offering significant improvements over traditional retrieval systems in terms of accuracy and user engagement. The results underscore the potential of using RAG and LLMs in sports analytics, paving the way for future advancements in the accessibility and real-time processing of sports data.
 
-## Setup
-The framework run on python 3.12
+## Enviroment setup
+The framework requires Python 3.12.
 ````bash
 pip install -r requirements.txt
 ````
@@ -19,7 +19,17 @@ Files needed are:
 * Labels-v2.json [link](https://www.soccer-net.org/data#h.5klq86rmgt96)
 * Labels-captions.json [link](https://www.soccer-net.org/data#h.ccybjenq8od4)
 
-For a full guide on how to download the data, please refer to the [SoccerNet package website](https://pypi.org/project/SoccerNet/).
+One can use the soccernet package to download the data:
+````bash
+pip install soccernet
+````
+
+````python
+from SoccerNet.Downloader import SoccerNetDownloader
+mySoccerNetDownloader = SoccerNetDownloader(LocalDirectory="data/dataset/SoccerNet")
+mySoccerNetDownloader.downloadDataTask(task="caption-2023", split=["train", "valid", "test", "challenge"])
+mySoccerNetDownloader.downloadGames(files=["Labels-v2.json"], split=["train", "valid", "test"]) 
+````
 
 The data should be placed in the ./data/Dataset/SoccerNet/ directory
 For each league, create a new folder with the name of the leauge
@@ -27,6 +37,9 @@ For each season create a new folder with the name of the season (YYYY-YYYY)
 For each game create a new folder with the name of the game (YYYY-MM-DD - HomeTeam Score - Score AwayTeam)
 In each game folder, place the Labels-v2.json and Labels-captions.json files
 
+For a full guide on how to download the data, please refer to the [SoccerNet package website](https://pypi.org/project/SoccerNet/).
+
+
 ### Setting up and populating the database
 To set up the database, execute the following command:
 ````bash