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from datasets import load_dataset
print("Loading dataset and indexing FAISS...") # Optional: for debugging
dataset = load_dataset("subashdvorak/tiktok-formatted-story", revision="embedded")
data = dataset['train'].add_faiss_index('embeddings')
def load_influencer_data():
return data |