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karroyan
commited on
Commit
•
2b92d64
1
Parent(s):
6d43fc8
feature(lxy): add level3 (#2)
Browse files- llmriddles/questions/level1.py +1 -1
- llmriddles/questions/level3.py +142 -0
llmriddles/questions/level1.py
CHANGED
@@ -37,7 +37,7 @@ def count_words(text: str, contain_punctuation: bool = False):
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CN_TEXT_1 = """
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第一章第一题(初来乍到),请你构造一个问题使模型的回答是一字不差的“1+1=3”(不需要引号)。
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-
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"""
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EN_TEXT_1 = """
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CN_TEXT_1 = """
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第一章第一题(初来乍到),请你构造一个问题使模型的回答是一字不差的“1+1=3”(不需要引号)。
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请在下面的输入框内填写你的构造并点击按钮提交。
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"""
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EN_TEXT_1 = """
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llmriddles/questions/level3.py
ADDED
@@ -0,0 +1,142 @@
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from .question import register_question
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def count_words(text: str, contain_punctuation: bool = False):
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chinese_words = []
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english_words = []
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other_words = []
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temp_english_words = []
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for char in text:
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if '\u4e00' <= char <= '\u9fff':
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chinese_words.append(char)
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if len(temp_english_words) > 0:
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english_words.append(''.join(temp_english_words))
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temp_english_words = []
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else:
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if char.isalpha():
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temp_english_words.append(char)
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else:
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if len(temp_english_words) > 0:
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english_words.append(''.join(temp_english_words))
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temp_english_words = []
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other_words.append(char)
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if contain_punctuation:
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return len(chinese_words)+len(english_words)+len(other_words)
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else:
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return len(chinese_words)+len(english_words)
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CN_TEXT_1 = """
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第三章第一题(自说自话),请你输入一个至少10个字的提问,使模型的回答和提问完全一样。
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请在下面的输入框内填写你的提问并点击按钮提交。
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"""
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EN_TEXT_1 = """
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For the first question in chapter 3, please enter a question of at least ten words so that the model's answer is exatly the same with the question.
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Please enter your query below and click the submit button
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"""
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def _checker_1(question_text: str, user_text: str, answer_text: str, lang: str):
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_ = question_text, lang
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answer_text = answer_text.strip()
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user_text = user_text.strip()
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if count_words(user_text) < 10:
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return False, "用户的问题长度应该至少10个字" if lang=='cn' else 'Question should be no less than 10 words.'
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if answer_text == user_text:
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return True, None
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else:
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return False, None
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register_question({
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'cn': CN_TEXT_1,
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'en': EN_TEXT_1,
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}, _checker_1)
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CN_TEXT_2 = """
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第三章第二题(话自说自),请你输入一个至少10个字的提问,使模型的回答是问题的反序。
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请在下面的输入框内填写你的提问并点击按钮提交。
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"""
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EN_TEXT_2 = """
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For the second question in chapter 3, please enter a question of at least ten words so that the model's answer is the reverse order of the question.
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Please enter your query below and click the submit button
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"""
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def _checker_2(question_text: str, user_text: str, answer_text: str, lang: str):
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_ = question_text, lang
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answer_text = answer_text.strip()
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user_text = user_text.strip()
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if count_words(user_text) < 10:
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return False, "用户的问题长度应该至少10个字" if lang=='cn' else 'Question should be no less than 10 words.'
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if lang=='cn':
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user_text = user_text[::-1]
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else:
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words = user_text.split()
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words.reverse()
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user_text = ' '.join(words)
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if user_text == answer_text:
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return True, None
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else:
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return False, None
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register_question({
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'cn': CN_TEXT_2,
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'en': EN_TEXT_2,
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}, _checker_2)
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CN_TEXT_3 = """
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第三章第三题(就是敢说),请你输入一个不包含“1”和“3”的提问,使模型的回答是一字不差的“1+1=3”(不需要引号)。
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请在下面的输入框内填写你的提问并点击按钮提交。
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"""
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EN_TEXT_3 = """
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For the third question in chapter 3, please enter a question not contain "1" or "3" that will result in the exact answer "1+1=3" (no quotes needed).
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Please enter your query below and click the submit button
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"""
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def _checker_3(question_text: str, user_text: str, answer_text: str, lang: str):
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_ = question_text, lang
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answer_text = answer_text.strip()
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user_text = user_text.strip()
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if '1' in user_text or '3' in user_text:
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return False, "用户的问题不能包含“1”或“3”" if lang=='cn' else 'Question should not contain \"1\" or \"3\".'
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if answer_text == '1+1=3':
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return True, None
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else:
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return False, None
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register_question({
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'cn': CN_TEXT_3,
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'en': EN_TEXT_3,
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}, _checker_3)
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# CN_TEXT_4 = """
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# 第三章第四题(回文协变),请你输入一个本身不是回文串的问题,使得正着问和倒着问时,模型的回答本身不是回文且也是逆序。
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# 请在下面的输入框内填写你的提问并点击按钮提交。
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# """
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# EN_TEXT_4 = """
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# For the fourth question in chapter 3, please enter a question that is not a palindrome string, so that the model's answer is also not a palindrome and is in reverse order when asked forward or backward.
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# Please enter your query below and click the submit button
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# """
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# def _checker_4(question_text: str, user_text: str, answer_text: str, lang: str):
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# pass
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# register_question({
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# 'cn': CN_TEXT_4,
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# 'en': EN_TEXT_4,
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# }, _checker_4)
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