OpenCompass/opencompass/datasets/calm/evaluation/error/basic_adversarial/AS.py
Peng Bo edd0ffdf70
Calm dataset (#1287)
* add calm dataset

* modify config max_out_len

* update README

* Modify README

* update README

* update README

* update README

* update README

* update README

* add summarizer and modify readme

* delete summarizer config comment

* update summarizer

* modify same response to all questions

* update README
2024-07-26 11:48:16 +08:00

36 lines
1.3 KiB
Python

import re
def check_standalization(model_response, prompt_style, type):
if model_response.startswith(("option 1","option 2","option 3","选项一","选项二","选项三")):
return 0
else:
return 1
def check_empty(model_response):
if model_response == "":
return 1
else:
return 0
def check_repetition(model_response):
if any(response in model_response for response in ["answer (option 1 or option 2 or option 3 ?)","you will be presented with a causal graph in the following form:", "答案(选项一或选项二或选项三?)", "给定如下因果图"]):
return 1
else:
return 0
def contains_chinese(text):
chinese_pattern = re.compile(r'[\u4e00-\u9fff]+')
result = 1 if chinese_pattern.search(text) is not None else 0
return result
def contains_english(text):
english_pattern = re.compile(r'[A-Za-z]{2,}')
result = 1 if english_pattern.search(text) is not None else 0
return result
def check_abnormality(preds):
abnormalities = "All option1" if all(pred == 1 for pred in preds) else \
"All option2" if all(pred == 2 for pred in preds) else \
"All option3" if all(pred == 3 for pred in preds) else 0
return abnormalities