def get_bertscore(output, sampled_passages):
    # spacy sentence tokenization
    sentences = [sent.text.strip() for sent in nlp(output).sents] 
    selfcheck_bertscore = SelfCheckBERTScore(rescale_with_baseline=True)
    sent_scores_bertscore = selfcheck_bertscore.predict(
        sentences = sentences, # list of sentences
        sampled_passages = sampled_passages, # list of sampled passages
    )
    df = pd.DataFrame({
    'Sentence Number': range(1, len(sent_scores_bertscore) + 1),
    'Hallucination Score': sent_scores_bertscore
    })
    return df