From f931d2ca94ad2edd3058dbc9ba32fdc91adbf4eb Mon Sep 17 00:00:00 2001
From: huihui <huihui.mlpeople@gmail.com>
Date: Wed, 30 Apr 2025 05:29:40 +0000
Subject: [PATCH] first

---
 opencompass/datasets/SciKnowEval.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/opencompass/datasets/SciKnowEval.py b/opencompass/datasets/SciKnowEval.py
index 3f848723..bd96e3e6 100644
--- a/opencompass/datasets/SciKnowEval.py
+++ b/opencompass/datasets/SciKnowEval.py
@@ -11,7 +11,10 @@ from .base import BaseDataset
 
 def _parse(item, prompt_mode, discipline):
     choices = item['choices']
-    item['q4'] = f'You are an expert in {discipline}.\n' + item['prompt']['default'] + '\n' + item['question'] + '\n' + '\n'.join([f'{l}. {t}' for l, t in zip(choices['label'], choices['text'])])  # noqa: E501, E741, E741
+    item['q4'] = f'You are an expert in {discipline}.\n' + item['prompt'][
+        'default'] + '\n' + item['question'] + '\n' + '\n'.join([
+            f'{l}. {t}' for l, t in zip(choices['label'], choices['text'])
+        ])  # noqa: E501, E741, E741
     item['start'] = chr(65)
     item['end'] = chr(65 + len(item.get('choices', {'label': []})['label']) -
                       1)
@@ -107,4 +110,3 @@ def answer_cleansing(
                 prediction[0] = prediction[0][:-1]
 
     return prediction[0]
-