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return []
def check_following(self, value):
assert isinstance(value, str)
try:
return value.islower() and langdetect.detect(value) == 'en'
except langdetect.LangDetectException as e:
logging.error('Unable to detect language for text %s due to %s', value, e)
return True
class CommaChecker(Instruction):
def build_description(self):
self._description_pattern = 'In your entire response, refrain from the use of any commas.'
return self._description_pattern
def get_instruction_args(self):
return None
def get_instruction_args_keys(self):
return []
def check_following(self, value):
return not re.search('\\,', value)
class CapitalWordFrequencyChecker(Instruction):
def build_description(self, capital_frequency=None, capital_relation=None):
self._frequency = capital_frequency
if self._frequency is None:
self._frequency = random.randint(1, _ALL_CAPITAL_WORD_FREQUENCY)
self._comparison_relation = capital_relation
if capital_relation is None:
self._comparison_relation = random.choice(_COMPARISON_RELATION)
elif capital_relation not in _COMPARISON_RELATION:
raise ValueError(f'The supported relation for comparison must be in {_COMPARISON_RELATION}, but {capital_relation} is given.')
self._description_pattern = 'In your response, words with all capital letters should appear {relation} {frequency} times.'
return self._description_pattern.format(frequency=self._frequency, relation=self._comparison_relation)
def get_instruction_args(self):
return {'capital_frequency': self._frequency, 'capital_relation': self._comparison_relation}
def get_instruction_args_keys(self):
return ['capital_frequency', 'capital_relation']
def check_following(self, value):
words = instructions_util.nltk.word_tokenize(value)
capital_words = [word for word in words if word.isupper()]
capital_words = len(capital_words)
if self._comparison_relation == _COMPARISON_RELATION[0]:
return capital_words < self._frequency
else:
return capital_words >= self._frequency
class QuotationChecker(Instruction):
def build_description(self):
self._description_pattern = 'Wrap your entire response with double quotation marks.'
return self._description_pattern
def get_instruction_args(self):
return None
def get_instruction_args_keys(self):
return []
def check_following(self, value):
value = value.strip()
return len(value) > 1 and value[0] == '"' and (value[-1] == '"')
# File: lm-evaluation-harness-main/lm_eval/tasks/leaderboard/ifeval/instructions_registry.py
""""""
from lm_eval.tasks.ifeval import instructions
_KEYWORD = 'keywords:'
_LANGUAGE = 'language:'
_LENGTH = 'length_constraints:'
_CONTENT = 'detectable_content:'
_FORMAT = 'detectable_format:'
_MULTITURN = 'multi-turn:'
_COMBINATION = 'combination:'
_STARTEND = 'startend:'
_CHANGE_CASES = 'change_case:'
_PUNCTUATION = 'punctuation:'
INSTRUCTION_DICT = {_KEYWORD + 'existence': instructions.KeywordChecker, _KEYWORD + 'frequency': instructions.KeywordFrequencyChecker, _KEYWORD + 'forbidden_words': instructions.ForbiddenWords, _KEYWORD + 'letter_frequency': instructions.LetterFrequencyChecker, _LANGUAGE + 'response_language': instructions.ResponseLanguageChecker, _LENGTH + 'number_sentences': instructions.NumberOfSentences, _LENGTH + 'number_paragraphs': instructions.ParagraphChecker, _LENGTH + 'number_words': instructions.NumberOfWords, _LENGTH + 'nth_paragraph_first_word': instructions.ParagraphFirstWordCheck, _CONTENT + 'number_placeholders': instructions.PlaceholderChecker, _CONTENT + 'postscript': instructions.PostscriptChecker, _FORMAT + 'number_bullet_lists': instructions.BulletListChecker, _FORMAT + 'constrained_response': instructions.ConstrainedResponseChecker, _FORMAT + 'number_highlighted_sections': instructions.HighlightSectionChecker, _FORMAT + 'multiple_sections': instructions.SectionChecker, _FORMAT + 'json_format': instructions.JsonFormat, _FORMAT + 'title': instructions.TitleChecker, _COMBINATION + 'two_responses': instructions.TwoResponsesChecker, _COMBINATION + 'repeat_prompt': instructions.RepeatPromptThenAnswer, _STARTEND + 'end_checker': instructions.EndChecker, _CHANGE_CASES + 'capital_word_frequency': instructions.CapitalWordFrequencyChecker, _CHANGE_CASES + 'english_capital': instructions.CapitalLettersEnglishChecker, _CHANGE_CASES + 'english_lowercase': instructions.LowercaseLettersEnglishChecker, _PUNCTUATION + 'no_comma': instructions.CommaChecker, _STARTEND + 'quotation': instructions.QuotationChecker}
INSTRUCTION_CONFLICTS = {_KEYWORD + 'existence': {_KEYWORD + 'existence'}, _KEYWORD + 'frequency': {_KEYWORD + 'frequency'}, _KEYWORD + 'forbidden_words': {_KEYWORD + 'forbidden_words'}, _KEYWORD + 'letter_frequency': {_KEYWORD + 'letter_frequency'}, _LANGUAGE + 'response_language': {_LANGUAGE + 'response_language', _FORMAT + 'multiple_sections', _KEYWORD + 'existence', _KEYWORD + 'frequency', _KEYWORD + 'forbidden_words', _STARTEND + 'end_checker', _CHANGE_CASES + 'english_capital', _CHANGE_CASES + 'english_lowercase'}, _LENGTH + 'number_sentences': {_LENGTH + 'number_sentences'}, _LENGTH + 'number_paragraphs': {_LENGTH + 'number_paragraphs', _LENGTH + 'nth_paragraph_first_word', _LENGTH + 'number_sentences', _LENGTH + 'nth_paragraph_first_word'}, _LENGTH + 'number_words': {_LENGTH + 'number_words'}, _LENGTH + 'nth_paragraph_first_word': {_LENGTH + 'nth_paragraph_first_word', _LENGTH + 'number_paragraphs'}, _CONTENT + 'number_placeholders': {_CONTENT + 'number_placeholders'}, _CONTENT + 'postscript': {_CONTENT + 'postscript'}, _FORMAT + 'number_bullet_lists': {_FORMAT + 'number_bullet_lists'}, _FORMAT + 'constrained_response': set(INSTRUCTION_DICT.keys()), _FORMAT + 'number_highlighted_sections': {_FORMAT + 'number_highlighted_sections'}, _FORMAT + 'multiple_sections': {_FORMAT + 'multiple_sections', _LANGUAGE + 'response_language', _FORMAT + 'number_highlighted_sections'}, _FORMAT + 'json_format': set(INSTRUCTION_DICT.keys()).difference({_KEYWORD + 'forbidden_words', _KEYWORD + 'existence'}), _FORMAT + 'title': {_FORMAT + 'title'}, _COMBINATION + 'two_responses': set(INSTRUCTION_DICT.keys()).difference({_KEYWORD + 'forbidden_words', _KEYWORD + 'existence', _LANGUAGE + 'response_language', _FORMAT + 'title', _PUNCTUATION + 'no_comma'}), _COMBINATION + 'repeat_prompt': set(INSTRUCTION_DICT.keys()).difference({_KEYWORD + 'existence', _FORMAT + 'title', _PUNCTUATION + 'no_comma'}), _STARTEND + 'end_checker': {_STARTEND + 'end_checker'}, _CHANGE_CASES + 'capital_word_frequency': {_CHANGE_CASES + 'capital_word_frequency', _CHANGE_CASES + 'english_lowercase', _CHANGE_CASES + 'english_capital'}, _CHANGE_CASES + 'english_capital': {_CHANGE_CASES + 'english_capital'}, _CHANGE_CASES + 'english_lowercase': {_CHANGE_CASES + 'english_lowercase', _CHANGE_CASES + 'english_capital'}, _PUNCTUATION + 'no_comma': {_PUNCTUATION + 'no_comma'}, _STARTEND + 'quotation': {_STARTEND + 'quotation', _FORMAT + 'title'}}
def conflict_make(conflicts):
for key in conflicts:
for k in conflicts[key]:
conflicts[k].add(key)
conflicts[key].add(key)
return conflicts
# File: lm-evaluation-harness-main/lm_eval/tasks/leaderboard/ifeval/instructions_util.py
""""""
import functools
import random
import re
import immutabledict
import nltk