docstr: Create prompts for each question and context pair in the dataframe
docstr_tok: ["Create","prompts","for","each","question","and","context","pair","in","the","dataframe"]
code: def get_evaluation_prompts(self, df: pd.DataFrame) -> List[str]:
      """Create prompts for each question and context pair in the dataframe"""
      return [
          self.evaluation_prompt(question, context)
          for question, context in zip(
              df["question"], df["retrieved_context"]
          )
      ]
  
imports: import ast
  from collections import defaultdict
  from typing import List
  import nltk
  import pandas
  from nltk import word_tokenize
  from nltk.translate.bleu_score import sentence_bleu
  from nltk.translate.meteor_score import meteor_score
  from rouge_score import rouge_scorer
  from scipy.spatial import distance
  from mindsdb.integrations.handlers.writer_handler.settings import WriterHandlerParameters
  from mindsdb.utilities import log
label_desc: Use image node_id 8 for calling the WriterEvaluator obj's underlying member method code with example usage: obj.get_evaluation_prompts(df) and returns: unknown