instructions: According to this, where did Elizabeth Hurley win a scholarship to?
  
  Elizabeth Jane Hurley was born in Basingstoke, Hampshire, to Angela Mary (Titt), a teacher, and Roy Leonard Hurley, an army major. Wanting to be a dancer, Hurley went to ballet boarding school at 12, but soon returned home. When it came time to go to college, Hurley won a scholarship to the London Studio Centre which taught courses for dance and theater. Soon, Hurley wore the punk rock look with pink hair and a nose ring, but to get work, she had to change her image to one that was castable. 
candidate_responses: Elizabeth Hurley won a scholarship to the London Studio Centre.
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:
  ```
  According to this, where did Elizabeth Hurley win a scholarship to?
  
  Elizabeth Jane Hurley was born in Basingstoke, Hampshire, to Angela Mary (Titt), a teacher, and Roy Leonard Hurley, an army major. Wanting to be a dancer, Hurley went to ballet boarding school at 12, but soon returned home. When it came time to go to college, Hurley won a scholarship to the London Studio Centre which taught courses for dance and theater. Soon, Hurley wore the punk rock look with pink hair and a nose ring, but to get work, she had to change her image to one that was castable. 
  ```
  
  Human Response:
  ```
  Elizabeth Hurley won a scholarship to the London Studio Centre.
  ```
  
  Language Model Response:
  ```
  Elizabeth Hurley won a scholarship to the London Studio Centre.
  ```
  
  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]}
  }
  