print(f"Question: {score_0[0]['question']}\nContext: {score_0[0]['context']}\nAnswer: {score_0[0]['answer']}")
print("---" * 10)
print(f"Reasoing: {score_0[0]['reasoning']}\nTotal Score: {score_0[0]['total_score']}")
 
# Question: What was the total dollar value of outstanding commercial real estate loans at the end of 2023?
# Context: The total outstanding commercial real estate loans amounted to $72,878 million at the end of December 2022.
# Answer: $72.878 billion
# ------------------------------
# Reasoning: 1. Context: The answer does not use the correct information from the provided context. The context mentions the total outstanding commercial real estate loans at the end of December 2022, but the answer provides a value without specifying the correct year. Therefore, no points are awarded for context.
# 2. Completeness: The answer provides a dollar value, but it does not address the key element of the question, which is the total dollar value at the end of 2023. The context only provides information about 2022, and the answer does not clarify or provide the correct information for 2023. Thus, no points are awarded for completeness.
# 3. Conciseness: The answer is concise, but it does not address the correct question. If the answer had provided a value with a clear statement that the information is not available for 2023, it would have been more accurate. However, in this case, the answer is concise but incorrect.
# Total Score: 0