This repository contains the code and methods for synthetic data generation for textual
data in the Agri-food domain and is developed as a part of the Stelar-EU project using classical and generative methods of data augmentation.
Python~=3
numpy~=1.19.2
pandas~=1.3.0
scikit-learn~=1.1.3
sklearn-pandas~=2.2.0
Ollama