code: def search_similar(s1, dlist=DATASET_IDS, MAX_SIMILARS=10):
      
  
      similars = {s2: similarity(s1, s2)
                  for s2 in dlist
                  if similarity(s1, s2)}
  
      # a list of tuples [(similar_word, ratio) .. ]
      top_match = Counter(similars).most_common(MAX_SIMILARS+1)
  
      return top_match
docs: Returns the top MAX_SIMILARS [(dataset_id : smilarity_ratio)] to s1