Update README.md

README.md

@@ -99,13 +99,7 @@ You should store and evaluate model's response as:
 ```python
 # Example code for evaluate
 def build_question(query):
-    question = ""
-    if "prompt" in query:
-        question += f"{query['prompt']}\n"
-    question += f"{query['question']}\n"
-    if "options" in query and len(query["options"]) > 0:
-        for option in query["options"]:
-            question += f"{option}\n"
+    question = query['question']
     if "instructions" in query:
         question += query["instructions"]
     return question
@@ -117,7 +111,7 @@ Responses = {}
 
 for query in tqdm(ds):
     query_idx = query["question_id"]
-    question_text = build_question(query)
+    input_text = build_question(query)
     input_figure = query["url"]  # This should be a list of url for models that support url input
 
     """
@@ -129,7 +123,7 @@ for query in tqdm(ds):
     """
 
     # Replace with your model
-    response = model.generate(question_text, input_figure)
+    response = model.generate(input_text, input_figure)
 
     Responses[query_idx] = {
         "qtype": int(query["question_type_id"]), # Note that "question_type_id" are used for evaluation only!