Is your feature request related to a problem? Please describe.
The current data preparation step for gathering and consolidating multiple source code files from various repositories is time-consuming. This process often involves manually collecting files, which is not only inefficient but also increases the risk of errors, ultimately hindering the workflow and delaying the training of models for smell detection.

Describe the solution you'd like
I propose integrating sourcecollector into the Quasar project. sourcecollector is a tool designed to consolidate multiple files into a single .txt file, streamlining the process of collecting source code from various repositories. This integration would enhance the efficiency of data preparation, allowing Quasar to easily gather and process large amounts of source code for training its smell detection models.

Describe alternatives you've considered
An alternative solution would be to manually gather and consolidate the source code files or develop a custom script to perform this task. However, these methods are less efficient and more error-prone compared to using a dedicated tool like sourcecollector.

Additional context
For more details on sourcecollector, you can visit the GitHub repository: https://github.com/hitesh22rana/sourcecollector. Integrating this tool could significantly reduce the time and effort required for preparing source code data, thereby enhancing the overall functionality and performance.