instructions: How much is a 1971 silver dollar worth in weight and in mint condition? 
  
  This coin, regardless of condition, is worth at least its weight in silver. The silver melt value for this coin is $7.90 as of April 10, 2023. This melt value is calculated from the current silver spot price of $24.98 per ounce. The standard 1971 silver dollar is worth around $15 in MS 63 choice uncirculated condition.
candidate_responses: The silver melt value for a 1971 silver dollar is $7.90 as of April 10, 2023. It is worth approximately $15 in MS 63 choice uncirculated condition.
eval_prompts: Given an instruction and two responses—one generated by a human and the other by a language model—I'm seeking to evaluate how closely the language model's response mirrors the human-generated one. Additionally, I want to assess the accuracy and relevance of the language model's response to the original instruction.
  
  Instruction:
  ```
  How much is a 1971 silver dollar worth in weight and in mint condition? 
  
  This coin, regardless of condition, is worth at least its weight in silver. The silver melt value for this coin is $7.90 as of April 10, 2023. This melt value is calculated from the current silver spot price of $24.98 per ounce. The standard 1971 silver dollar is worth around $15 in MS 63 choice uncirculated condition.
  ```
  
  Human Response:
  ```
  Regardless of its condition, a 1971 U.S. silver dollar is worth it's weight in silver. The melt value for the coin is $7.90 as of April 10, 2023. In mint, uncirculated condition, the 1971 U.S. silver dollar is worth around $15 USD. 
  ```
  
  Language Model Response:
  ```
  The silver melt value for a 1971 silver dollar is $7.90 as of April 10, 2023. It is worth approximately $15 in MS 63 choice uncirculated condition.
  ```
  
  You are quality assessor who analyzes the similarity between the Human Response and the Language Model Response on a scale of 1 to 100, where 1 indicates no similarity and 100 indicates identical responses.
  Also you analyze the Language Model Response how it accurately answers the given Instruction on a scale of 1 to 100. Analysis MUST be rigorous and thorough.
  Provide the assessment in the following JSON format:
  
  {
    "similarity_assessment": {"score": [Insert similarity score here],"reason": [Insert how the similarity score is determined]},
    "precision_assessment": {"score": [Insert precision score here],"reason": [Insert how the precision score is determined]}
  }
  