utils/data_loader.py

from datasets import load_dataset

print("Loading dataset and indexing FAISS...")  # Optional: for debugging

dataset = load_dataset("subashdvorak/tiktok-agentic-story", revision="embedded")
data = dataset['train'].add_faiss_index('embeddings')

def load_influencer_data():
    return data