HanIFEval v1.1: 16 items edited after two external reviews; checker fixes; new fields
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| # Copyright 2023 The Google Research Authors. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """Library of instructions.""" | |
| import collections | |
| import json | |
| import logging | |
| import random | |
| import re | |
| import string | |
| import unicodedata # Used to compare Korean characters | |
| from typing import Dict, Optional, Sequence, Union | |
| import langdetect | |
| # [hanifeval] Deterministic language detection (langdetect is randomized by default). | |
| langdetect.DetectorFactory.seed = 0 | |
| from . import instructions_util | |
| logger = logging.getLogger(__name__) | |
| _InstructionArgsDtype = Optional[Dict[str, Union[int, str, Sequence[str]]]] | |
| _LANGUAGES = instructions_util.LANGUAGE_CODES | |
| # The relational operation for comparison. | |
| _COMPARISON_RELATION = ("less than", "at least") | |
| # The maximum number of sentences. | |
| _MAX_NUM_SENTENCES = 20 | |
| # The number of placeholders. | |
| _NUM_PLACEHOLDERS = 4 | |
| # The number of bullet lists. | |
| _NUM_BULLETS = 5 | |
| # The options of constrained response. | |
| _CONSTRAINED_RESPONSE_OPTIONS = ( | |
| "제 답변은 예입니다.", | |
| "제 답변은 아니요입니다.", | |
| "제 답변은 아마도입니다.", | |
| ) | |
| # The options of starter keywords. 원본은 # 뒤에 | |
| _STARTER_OPTIONS = ( | |
| "저라면", # "I would say", | |
| "제 답변은", # "My answer is", | |
| "제가 믿기에는", #"I believe", | |
| "제 의견은", # "In my opinion", | |
| "제 생각은" , # "I think", | |
| "제 생각에 따르면", # "I reckon", | |
| "제가 느끼기에는", # "I feel", | |
| "제 관점으로는", # "From my perspective", | |
| "제가 보기에는", # "As I see it", | |
| # "According to me", | |
| "제가 우려하는 부분은" # "As far as I'm concerned", | |
| "제가 이해하기로는", #"To my understanding", | |
| "저의 관점으로는", # "In my view", | |
| "저로써는", # "My take on it is", | |
| "제가 받아들이기로는", #"As per my perception", | |
| ) | |
| # The options of ending keywords. | |
| # 원본 ("Any other questions?", "Is there anything else I can help with?") | |
| _ENDING_OPTIONS = ("다른 질문이 있나요?", "제가 도와드릴 수 있는 다른 것이 있나요?") # 원본을 번역하여 넣었습니다 | |
| # The number of highlighted sections. | |
| _NUM_HIGHLIGHTED_SECTIONS = 4 | |
| # The section splitter. | |
| _SECTION_SPLITER = ("Section", "SECTION, 섹션") # "섹션" 추가 | |
| # The number of sections. | |
| _NUM_SECTIONS = 5 | |
| # The number of paragraphs. | |
| _NUM_PARAGRAPHS = 5 | |
| # The postscript marker. | |
| _POSTSCRIPT_MARKER = ("P.S.", "P.P.S") | |
| # The number of keywords. | |
| _NUM_KEYWORDS = 2 | |
| # The occurrences of a single keyword. | |
| _KEYWORD_FREQUENCY = 3 | |
| # The occurrences of a single letter. | |
| _LETTER_FREQUENCY = 10 | |
| # The occurrences of words with all capital letters. | |
| _ALL_CAPITAL_WORD_FREQUENCY = 20 | |
| # The number of words in the response. | |
| _NUM_WORDS_LOWER_LIMIT = 100 | |
| _NUM_WORDS_UPPER_LIMIT = 500 | |
| class Instruction: | |
| """An instruction template.""" | |
| def __init__(self, instruction_id): | |
| self.id = instruction_id | |
| def build_description(self, **kwargs): | |
| raise NotImplementedError("`build_description` not implemented.") | |
| def get_instruction_args(self): | |
| raise NotImplementedError("`get_instruction_args` not implemented.") | |
| def get_instruction_args_keys(self): | |
| raise NotImplementedError("`get_instruction_args_keys` not implemented.") | |
| def check_following(self, value): | |
| raise NotImplementedError("`check_following` not implemented.") | |
| class ResponseLanguageChecker(Instruction): | |
| """Check the language of the entire response.""" | |
| def build_description(self, *, language=None): | |
| """Build the instruction description. | |
| Args: | |
| language: A string representing the expected language of the response. The | |
| language has to comply to the 97 types defined in | |
| `langid.py` (https://pypi.org/project/langid/1.1.5/), which follows | |
| ISO 639-1 codes (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes); | |
| for example, `en` for English, `zh` for Chinese, `fr` for French. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._language = language | |
| if self._language is None: | |
| self._language = random.choice(list(_LANGUAGES.keys())) | |
| # TODO(tianjianlu): opens the description generation to more choices. | |
| self._description_pattern = ( | |
| "Your ENTIRE response should be in {language} language, no other " | |
| + "language is allowed." | |
| ) | |
| return self._description_pattern.format(language=_LANGUAGES[self._language]) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"language": self._language} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["language"] | |
| def check_following(self, value): | |
| """Check if the language of the entire response follows the instruction. | |
| Args: | |
| value: A string representing the response. | |
| Returns: | |
| True if the language of `value` follows instruction; otherwise False. | |
| """ | |
| assert isinstance(value, str) | |
| try: | |
| return langdetect.detect(value) == self._language | |
| except langdetect.LangDetectException as e: | |
| # Google's IFEval counts this as followed; HanIFEval v1.1 does not (see below). | |
| logging.error( | |
| "Unable to detect language for text %s due to %s", value, e | |
| ) # refex: disable=pytotw.037 | |
| # [hanifeval] v1.1: undetectable text fails (Google's IFEval returns True here). | |
| return False | |
| class NumberOfSentences(Instruction): | |
| """Check the number of sentences.""" | |
| def build_description(self, *, num_sentences=None, relation=None): | |
| """Build the instruction description. | |
| Args: | |
| num_sentences: An integer specifying the number of sentences as a | |
| threshold. | |
| relation: A string in (`less than`, `at least`), defining the relational | |
| operator for comparison. | |
| Two relational comparisons are supported for now: | |
| if 'less than', the actual number of sentences < the threshold; | |
| if 'at least', the actual number of sentences >= the threshold. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| # The number of sentences as a threshold for comparison. | |
| self._num_sentences_threshold = num_sentences | |
| if self._num_sentences_threshold is None or self._num_sentences_threshold < 0: | |
| self._num_sentences_threshold = random.randint(1, _MAX_NUM_SENTENCES) | |
| if relation is None: | |
| self._comparison_relation = random.choice(_COMPARISON_RELATION) | |
| elif relation not in _COMPARISON_RELATION: | |
| raise ValueError( | |
| "The supported relation for comparison must be in " | |
| f"{_COMPARISON_RELATION}, but {relation} is given." | |
| ) | |
| else: | |
| self._comparison_relation = relation | |
| self._description_pattern = ( | |
| "Your response should contain {relation} {num_sentences} sentences." | |
| ) | |
| return self._description_pattern.format( | |
| relation=self._comparison_relation, | |
| num_sentences=self._num_sentences_threshold, | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return { | |
| "num_sentences": self._num_sentences_threshold, | |
| "relation": self._comparison_relation, | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_sentences", "relation"] | |
| def check_following(self, value): | |
| """Check if the number of sentences follows the instruction. | |
| Args: | |
| value: A string representing the response. | |
| Returns: | |
| True if the response follows the instruction. | |
| Raise: | |
| ValueError if the string in `instruction_args` is not in | |
| [`less_than`, `at_least`]. | |
| """ | |
| num_sentences = instructions_util.count_sentences(value) | |
| if self._comparison_relation == _COMPARISON_RELATION[0]: | |
| return num_sentences < self._num_sentences_threshold | |
| elif self._comparison_relation == _COMPARISON_RELATION[1]: | |
| return num_sentences >= self._num_sentences_threshold | |
| class PlaceholderChecker(Instruction): | |
| """Check the placeholders in template writing.""" | |
| def build_description(self, *, num_placeholders=None): | |
| """Build the instruction description. | |
| Args: | |
| num_placeholders: An integer denoting the minimum number of | |
| placeholders required in the response. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._num_placeholders = num_placeholders | |
| if self._num_placeholders is None or self._num_placeholders < 0: | |
| self._num_placeholders = random.randint(1, _NUM_PLACEHOLDERS) | |
| self._description_pattern = ( | |
| "The response must contain at least {num_placeholders} placeholders " | |
| + "represented by square brackets, such as [address]." | |
| ) | |
| return self._description_pattern.format(num_placeholders=self._num_placeholders) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"num_placeholders": self._num_placeholders} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_placeholders"] | |
| def check_following(self, value): | |
| """Check if the number of placeholders follows the instruction. | |
| Args: | |
| value: A string representing the response. | |
| Returns: | |
| True if the actual number of placeholders in the response is greater than | |
| or equal to `num_placeholders`; otherwise, False. | |
| """ | |
| placeholders = re.findall(r"\[.*?\]", value) | |
| num_placeholders = len(placeholders) | |
| return num_placeholders >= self._num_placeholders | |
| class BulletListChecker(Instruction): | |
| """Checks the bullet list in the prompt.""" | |
| def build_description(self, *, num_bullets=None): | |
| """Build the instruction description. | |
| Args: | |
| num_bullets: An integer specifying the exact number of bullet lists | |
| that is required to appear in the response. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._num_bullets = num_bullets | |
| if self._num_bullets is None or self._num_bullets < 0: | |
| self._num_bullets = random.randint(1, _NUM_BULLETS) | |
| self._description_pattern = ( | |
| "Your answer must contain exactly {num_bullets} bullet points. " | |
| + "Use the markdown bullet points such as:\n" | |
| + "* This is point 1. \n" | |
| + "* This is point 2" | |
| ) | |
| return self._description_pattern.format(num_bullets=self._num_bullets) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"num_bullets": self._num_bullets} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_bullets"] | |
| def check_following(self, value): | |
| r"""Check if the number of bullet lists meets the requirement. | |
| Args: | |
| value: A string representing the response. The response is expected to | |
| contain some bullet lists that start with `\*`. | |
| Returns: | |
| True if the actual number of bullet lists in the response meets the | |
| requirement. | |
| """ | |
| bullet_lists = re.findall(r"^\s*\*[^\*].*$", value, flags=re.MULTILINE) | |
| bullet_lists_2 = re.findall(r"^\s*-.*$", value, flags=re.MULTILINE) | |
| num_bullet_lists = len(bullet_lists) + len(bullet_lists_2) | |
| return num_bullet_lists == self._num_bullets | |
| class ConstrainedResponseChecker(Instruction): | |
| """Checks the constrained response.""" | |
| def build_description(self): | |
| """Build the instruction description.""" | |
| # A sequence of string(s) representing the options of the expected response. | |
| self._constrained_responses = _CONSTRAINED_RESPONSE_OPTIONS | |
| self._description_pattern = ( | |
| "Answer with one of the following options: {response_options}" | |
| ) | |
| return self._description_pattern.format( | |
| response_options=self._constrained_responses | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return None | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| """Checks if the response matches the constrained options. | |
| Args: | |
| value: A string representing the response. | |
| Returns: | |
| True if the actual response contains one of the options in the constrained | |
| responses; otherwise False. | |
| """ | |
| value = value.strip() | |
| for constrained_response in self._constrained_responses: | |
| if constrained_response in value: | |
| return True | |
| return False | |
| # instruction_registry에서 이용 안함 | |
| class ConstrainedStartChecker(Instruction): | |
| """Checks the response start.""" | |
| def build_description(self, *, starter=None): | |
| """Build the instruction description. | |
| Args: | |
| starter: A string representing the keyword that the response should start | |
| with. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._starter = starter.strip() if isinstance(starter, str) else starter | |
| if self._starter is None: | |
| self._starter = random.choice(_STARTER_OPTIONS) | |
| self._description_pattern = ( | |
| "During the conversation, when it is your turn, " | |
| + "please always start with {starter}" | |
| ) | |
| return self._description_pattern.format(starter=self._starter) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"starter": self._starter} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["starter"] | |
| def check_following(self, value): | |
| """Checks if the response starts with the constrained keyword or phrase. | |
| Args: | |
| value: A string representing the response. | |
| Returns: | |
| True if the response starts with the given phrase or keyword that is | |
| contained in `instruction_args`; otherwise, False. | |
| """ | |
| response_pattern = r"^\s*" + self._starter + r".*$" | |
| response_with_constrained_start = re.search( | |
| response_pattern, value, flags=re.MULTILINE | |
| ) | |
| return True if response_with_constrained_start else False | |
| class HighlightSectionChecker(Instruction): | |
| """Checks the highlighted section.""" | |
| def build_description(self, *, num_highlights=None): | |
| """Build the instruction description. | |
| Args: | |
| num_highlights: An integer specifying the minimum number of highlighted | |
| sections. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._num_highlights = num_highlights | |
| if self._num_highlights is None or self._num_highlights < 0: | |
| self._num_highlights = random.randint(1, _NUM_HIGHLIGHTED_SECTIONS) | |
| self._description_pattern = ( | |
| "Highlight at least {num_highlights} sections in your answer with " | |
| + "markdown, i.e. *highlighted section*." | |
| ) | |
| return self._description_pattern.format(num_highlights=self._num_highlights) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"num_highlights": self._num_highlights} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_highlights"] | |
| def check_following(self, value): | |
| """Checks if the number of highlighted sections meets the requirement. | |
| Args: | |
| value: a string representing the response. The response is expected to | |
| contain highlighted sections in the format of *highlighted*. | |
| Returns: | |
| True if the actual number of highlighted sections in the format of | |
| *highlighted sections* meets the minimum requirement; otherwise False. | |
| """ | |
| num_highlights = 0 | |
| highlights = re.findall(r"\*[^\n\*]*\*", value) | |
| double_highlights = re.findall(r"\*\*[^\n\*]*\*\*", value) | |
| for highlight in highlights: | |
| if highlight.strip("*").strip(): | |
| num_highlights += 1 | |
| for highlight in double_highlights: | |
| if highlight.removeprefix("**").removesuffix("**").strip(): | |
| num_highlights += 1 | |
| return num_highlights >= self._num_highlights | |
| class SectionChecker(Instruction): | |
| """Checks the sections.""" | |
| def build_description(self, *, section_spliter=None, num_sections=None): | |
| """Build the instruction description. | |
| Args: | |
| section_spliter: A string represents the section spliter keyword that | |
| marks a new section, i.e., `Section` or `SECTION`. | |
| num_sections: An integer specifying the number of sections. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._section_spliter = ( | |
| section_spliter.strip() | |
| if isinstance(section_spliter, str) | |
| else section_spliter | |
| ) | |
| if self._section_spliter is None: | |
| self._section_spliter = random.choice(_SECTION_SPLITER) | |
| self._num_sections = num_sections | |
| if self._num_sections is None or self._num_sections < 0: | |
| self._num_sections = random.randint(1, _NUM_SECTIONS) | |
| self._description_pattern = ( | |
| "Your response must have {num_sections} sections. Mark the beginning " | |
| + "of each section with {section_spliter} X, such as:\n" | |
| + "{section_spliter} 1\n" | |
| + "[content of section 1]\n" | |
| + "{section_spliter} 2\n" | |
| + "[content of section 2]" | |
| ) | |
| return self._description_pattern.format( | |
| num_sections=self._num_sections, section_spliter=self._section_spliter | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return { | |
| "section_spliter": self._section_spliter, | |
| "num_sections": self._num_sections, | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["section_spliter", "num_sections"] | |
| def check_following(self, value): | |
| """Checks the response contains multiple sections. | |
| Args: | |
| value: A string representing the response. The response is expected | |
| to contain multiple sections (number of sections is greater than 1). | |
| A new section starts with `Section 1`, where the number denotes the | |
| section index. | |
| Returns: | |
| True if the number of sections in the response is greater than or equal to | |
| the minimum number of sections; otherwise, False. | |
| """ | |
| section_splitter_patten = r"\s?" + self._section_spliter + r"\s?\d+\s?" | |
| sections = re.split(section_splitter_patten, value) | |
| num_sections = len(sections) - 1 | |
| return num_sections >= self._num_sections | |
| class ParagraphChecker(Instruction): | |
| """Checks the paragraphs.""" | |
| def build_description(self, *, num_paragraphs=None): | |
| """Build the instruction description. | |
| Args: | |
| num_paragraphs: An integer specifying the number of paragraphs. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._num_paragraphs = num_paragraphs | |
| if self._num_paragraphs is None or self._num_paragraphs < 0: | |
| self._num_paragraphs = random.randint(1, _NUM_PARAGRAPHS) | |
| self._description_pattern = ( | |
| "There should be {num_paragraphs} paragraphs. " | |
| + "Paragraphs are separated with the markdown divider: ***" | |
| ) | |
| return self._description_pattern.format(num_paragraphs=self._num_paragraphs) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"num_paragraphs": self._num_paragraphs} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_paragraphs"] | |
| def check_following(self, value): | |
| """Checks the response contains required number of paragraphs. | |
| Args: | |
| value: A string representing the response. The response may contain | |
| paragraphs that are separated by the markdown divider: `***`. | |
| Returns: | |
| True if the actual number of paragraphs is the same as required; | |
| otherwise, False. | |
| """ | |
| paragraphs = re.split(r"\s?\*\*\*\s?", value) | |
| num_paragraphs = len(paragraphs) | |
| for index, paragraph in enumerate(paragraphs): | |
| if not paragraph.strip(): | |
| if index == 0 or index == len(paragraphs) - 1: | |
| num_paragraphs -= 1 | |
| else: | |
| return False | |
| return num_paragraphs == self._num_paragraphs | |
| class PostscriptChecker(Instruction): | |
| """Checks the postscript.""" | |
| def build_description(self, *, postscript_marker=None): | |
| """Build the instruction description. | |
| Args: | |
| postscript_marker: A string containing the keyword that marks the start | |
| of the postscript section. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._postscript_marker = ( | |
| postscript_marker.strip() | |
| if isinstance(postscript_marker, str) | |
| else postscript_marker | |
| ) | |
| if self._postscript_marker is None: | |
| self._postscript_marker = random.choice(_POSTSCRIPT_MARKER) | |
| self._description_pattern = ( | |
| "At the end of your response, please explicitly add a postscript " | |
| + "starting with {postscript}" | |
| ) | |
| return self._description_pattern.format(postscript=self._postscript_marker) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"postscript_marker": self._postscript_marker} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["postscript_marker"] | |
| def check_following(self, value): | |
| """Checks if the response follows the postscript format. | |
| Args: | |
| value: a string representing the response. The response is expected to | |
| contain a postscript section. | |
| Returns: | |
| True if the response contains a postscript section starting with | |
| the keyword containing in the `instruction_args`; otherwise False. | |
| """ | |
| value = value.lower() | |
| if self._postscript_marker == "P.P.S": | |
| postscript_pattern = r"\s*p\.\s?p\.\s?s.*$" | |
| elif self._postscript_marker == "P.S.": | |
| postscript_pattern = r"\s*p\.\s?s\..*$" | |
| else: | |
| postscript_pattern = r"\s*" + self._postscript_marker.lower() + r".*$" | |
| postscript = re.findall(postscript_pattern, value, flags=re.MULTILINE) | |
| return True if postscript else False | |
| class RephraseChecker(Instruction): | |
| """Checks the rephrase.""" | |
| def build_description(self, *, original_message): | |
| """Build the instruction description. | |
| Args: | |
| original_message: A string representing the original message. The | |
| rephrased response should only change its words/sentences in between | |
| its two asterisks, for example, *change me*. Both original and rephrased | |
| messages should contain the changes in the form of *change me*. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| if not self.is_change(original_message): | |
| raise ValueError( | |
| f"Message {original_message} does not contain changes " | |
| "in the form of *change me*." | |
| ) | |
| self._reference_without_change = original_message | |
| self._description = ( | |
| "Rephrasing: Your rephrased response should only" | |
| + "change the words/sentences in between two asterisks" | |
| + "such as *change me*." | |
| ) | |
| return self._description | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"original_message": self._reference_without_change} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["original_message"] | |
| def check_following(self, value): | |
| r"""Checks if the rephrasing follows the instruction. | |
| Args: | |
| value: A string representing the response, which is expected to rephras | |
| the string of `instruction_args`. | |
| Returns: | |
| True if `value` and `instruction_args` only differ by the words/sentences | |
| in between two asterisks such as *change me*; otherwise, False. | |
| """ | |
| if not self.is_change(value): | |
| raise ValueError( | |
| f"value {value} does not contain changes in the form of *change me*." | |
| ) | |
| response_without_changes = self.strip_changes(value) | |
| reference_without_changes = self.strip_changes(self._reference_without_change) | |
| return response_without_changes == reference_without_changes | |
| def is_change(self, response): | |
| """Check if there is change in the response in the form of *change me*.""" | |
| return re.search(r"\*.*\*", response) | |
| def strip_changes(self, response): | |
| """Strips off the changes.""" | |
| return re.sub(r"\*.*\*", "", response) | |
| class KeywordChecker(Instruction): | |
| """Check the exisitence of certain keywords.""" | |
| def build_description(self, *, keywords=None): | |
| """Build the instruction description. | |
| Args: | |
| keywords: A sequence of strings representing the keywords that are | |
| expected in the response. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| if not keywords: | |
| raise ValueError("Class KeywordChecker requires keywords") | |
| # self._keywords = instructions_util.generate_keywords( | |
| # num_keywords=_NUM_KEYWORDS | |
| # ) | |
| else: | |
| self._keywords = [unicodedata.normalize('NFC', keyword) for keyword in keywords] | |
| self._keywords = sorted(self._keywords) | |
| self._description_pattern = "Include keywords {keywords} in the response." | |
| return self._description_pattern.format(keywords=self._keywords) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"keywords": self._keywords} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["keywords"] | |
| def check_following(self, value): | |
| """Check if the response contain the expected keywords.""" | |
| # [hanifeval] escaped substring match (a Korean keyword may carry a particle). | |
| for keyword in self._keywords: | |
| if not re.search(re.escape(keyword), value, flags=re.IGNORECASE): | |
| return False | |
| return True | |
| class KeywordFrequencyChecker(Instruction): | |
| """Check the keyword frequency.""" | |
| def build_description(self, *, keyword=None, frequency=None, relation=None): | |
| """Build the instruction description. | |
| Args: | |
| keyword: A string representing a keyword that is expected in the response. | |
| frequency: An integer specifying the number of times `keyword` is expected | |
| to appear in the response. | |
| relation: A string in (`less than`, `at least`), defining the relational | |
| operator for comparison. | |
| Two relational comparisons are supported for now: | |
| if 'less than', the actual number of occurrences < frequency; | |
| if 'at least', the actual number of occurrences >= frequency. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| if not keyword: | |
| raise ValueError("Class KeywordFrequencyChecker requires keyword") | |
| # self._keyword = instructions_util.generate_keywords(num_keywords=1)[0] | |
| else: | |
| self._keyword = unicodedata.normalize('NFC', keyword.strip()) | |
| self._frequency = frequency | |
| if self._frequency is None or self._frequency < 0: | |
| self._frequency = random.randint(1, _KEYWORD_FREQUENCY) | |
| if relation is None: | |
| self._comparison_relation = random.choice(_COMPARISON_RELATION) | |
| elif relation not in _COMPARISON_RELATION: | |
| raise ValueError( | |
| "The supported relation for comparison must be in " | |
| f"{_COMPARISON_RELATION}, but {relation} is given." | |
| ) | |
| else: | |
| self._comparison_relation = relation | |
| self._description_pattern = ( | |
| "In your response, the word {keyword} should appear {relation} " | |
| + "{frequency} times." | |
| ) | |
| return self._description_pattern.format( | |
| keyword=self._keyword, | |
| relation=self._comparison_relation, | |
| frequency=self._frequency, | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return { | |
| "keyword": self._keyword, | |
| "frequency": self._frequency, | |
| "relation": self._comparison_relation, | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["keyword", "frequency", "relation"] | |
| def check_following(self, value): | |
| """Checks if the response contain the keyword with required frequency.""" | |
| # [hanifeval] escaped substring count. | |
| actual_occurrences = len(re.findall(re.escape(self._keyword), value, flags=re.IGNORECASE)) | |
| if self._comparison_relation == _COMPARISON_RELATION[0]: | |
| return actual_occurrences < self._frequency | |
| elif self._comparison_relation == _COMPARISON_RELATION[1]: | |
| return actual_occurrences >= self._frequency | |
| class NumberOfWords(Instruction): | |
| """Checks the number of words.""" | |
| def build_description(self, *, num_words=None, relation=None): | |
| """Build the instruction description. | |
| Args: | |
| num_words: An integer specifying the number of words contained in the | |
| response. | |
| relation: A string in (`less than`, `at least`), defining the relational | |
| operator for comparison. | |
| Two relational comparisons are supported for now: | |
| if 'less than', the actual number of words < num_words; | |
| if 'at least', the actual number of words >= num_words. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._num_words = num_words | |
| if self._num_words is None or self._num_words < 0: | |
| self._num_words = random.randint( | |
| _NUM_WORDS_LOWER_LIMIT, _NUM_WORDS_UPPER_LIMIT | |
| ) | |
| if relation is None: | |
| self._comparison_relation = random.choice(_COMPARISON_RELATION) | |
| elif relation not in _COMPARISON_RELATION: | |
| raise ValueError( | |
| "The supported relation for comparison must be in " | |
| f"{_COMPARISON_RELATION}, but {relation} is given." | |
| ) | |
| else: | |
| self._comparison_relation = relation | |
| self._description_pattern = "Answer with {relation} {num_words} words." | |
| return self._description_pattern.format( | |
| relation=self._comparison_relation, num_words=self._num_words | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"num_words": self._num_words, "relation": self._comparison_relation} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_words", "relation"] | |
| def check_following(self, value): | |
| """Checks if the response contains the expected number of words.""" | |
| num_words = instructions_util.count_words(value) | |
| if self._comparison_relation == _COMPARISON_RELATION[0]: | |
| return num_words < self._num_words | |
| elif self._comparison_relation == _COMPARISON_RELATION[1]: | |
| return num_words >= self._num_words | |
| class JsonFormat(Instruction): | |
| """Check the Json format.""" | |
| def build_description(self): | |
| self._description_pattern = ( | |
| "Entire output should be wrapped in JSON format. You can use markdown" | |
| " ticks such as ```." | |
| ) | |
| return self._description_pattern | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return None | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| value = ( | |
| value.strip() | |
| .removeprefix("```json") | |
| .removeprefix("```Json") | |
| .removeprefix("```JSON") | |
| .removeprefix("```") | |
| .removesuffix("```") | |
| .strip() | |
| ) | |
| try: | |
| json.loads(value) | |
| except ValueError: | |
| return False | |
| return True | |
| class ParagraphFirstWordCheck(Instruction): | |
| """Check the paragraph and the first word of the nth paragraph.""" | |
| def build_description( | |
| self, num_paragraphs=None, nth_paragraph=None, first_word=None | |
| ): | |
| r"""Build the instruction description. | |
| Args: | |
| num_paragraphs: An integer indicating the number of paragraphs expected | |
| in the response. A paragraph is a subset of the string that is | |
| expected to be separated by '\n\n'. | |
| nth_paragraph: An integer indicating the paragraph number that we look at. | |
| Note that n starts from 1. | |
| first_word: A string that represent the first word of the bth paragraph. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._num_paragraphs = num_paragraphs | |
| if self._num_paragraphs is None or self._num_paragraphs < 0: | |
| self._num_paragraphs = random.randint(1, _NUM_PARAGRAPHS) | |
| self._nth_paragraph = nth_paragraph | |
| if ( | |
| self._nth_paragraph is None | |
| or self._nth_paragraph <= 0 | |
| or self._nth_paragraph > self._num_paragraphs | |
| ): | |
| self._nth_paragraph = random.randint(1, self._num_paragraphs + 1) | |
| self._first_word = first_word | |
| if self._first_word is None: | |
| raise ValueError("Class ParagraphFirstWordCheck requires first_word") | |
| # self._first_word = instructions_util.generate_keywords(num_keywords=1)[0] | |
| self._first_word = self._first_word.lower() | |
| self._description_pattern = ( | |
| "There should be {num_paragraphs} paragraphs. " | |
| + "Paragraphs and only paragraphs are separated with each other by two " | |
| + "new lines as if it was '\\n\\n' in python. " | |
| + "Paragraph {nth_paragraph} must start with word {first_word}." | |
| ) | |
| return self._description_pattern.format( | |
| num_paragraphs=self._num_paragraphs, | |
| nth_paragraph=self._nth_paragraph, | |
| first_word=self._first_word, | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return { | |
| "num_paragraphs": self._num_paragraphs, | |
| "nth_paragraph": self._nth_paragraph, | |
| "first_word": self._first_word, | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_paragraphs", "nth_paragraph", "first_word"] | |
| def check_following(self, value): | |
| """Checks for required number of paragraphs and correct first word. | |
| Args: | |
| value: a string representing the response. The response may contain | |
| paragraphs that are separated by two new lines and the first word of | |
| the nth paragraph will have to match a specified word. | |
| Returns: | |
| True if the number of paragraphs is the same as required and the first | |
| word of the specified paragraph is the same as required. Otherwise, false. | |
| """ | |
| paragraphs = re.split(r"\n\n", value) | |
| num_paragraphs = len(paragraphs) | |
| for paragraph in paragraphs: | |
| if not paragraph.strip(): | |
| num_paragraphs -= 1 | |
| # check that index doesn't go out of bounds | |
| if self._nth_paragraph <= num_paragraphs: | |
| paragraph = paragraphs[self._nth_paragraph - 1].strip() | |
| if not paragraph: | |
| return False | |
| else: | |
| return False | |
| first_word = "" | |
| punctuation = {".", ",", "?", "!", "'", '"'} | |
| # get first word and remove punctuation | |
| word = paragraph.split()[0].strip() | |
| # TODO(jeffrey): make more complex? | |
| word = word.lstrip("'") | |
| word = word.lstrip('"') | |
| for letter in word: | |
| if letter in punctuation: | |
| break | |
| first_word += letter.lower() | |
| # [hanifeval] prefix match: a Korean first word usually carries a particle ("회사는" for "회사"). | |
| para_start = paragraph.lstrip("'\"“‘ ").lower() | |
| return num_paragraphs == self._num_paragraphs and para_start.startswith(self._first_word.lower()) | |
| # TODO(jeffrey) add relation - at least/at most? | |
| class KeySentenceChecker(Instruction): | |
| """Check the existence of certain key sentences.""" | |
| def build_description(self, key_sentences=None, num_sentences=None): | |
| """Build the instruction description. | |
| Args: | |
| key_sentences: A sequences of strings representing the key sentences that | |
| are expected in the response. | |
| num_sentences: The number of key sentences that are expected to be seen in | |
| the response. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| if not key_sentences: | |
| # TODO(jeffrey) make a generate sentences function? wonderwords package | |
| self._key_sentences = set(["For now, this is fine."]) | |
| else: | |
| self._key_sentences = key_sentences | |
| if not num_sentences: | |
| self._num_sentences = random.randint(1, len(self._key_sentences)) | |
| else: | |
| self._num_sentences = num_sentences | |
| self._key_sentences = [unicodedata.normalize('NFC', key_sentence) for key_sentence in self._key_sentences] | |
| self._description_pattern = ( | |
| "Include {num_sentences} of the following sentences {key_sentences}" | |
| ) | |
| return self._description_pattern.format( | |
| num_sentences=self._num_sentences, key_sentences=self._key_sentences | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return { | |
| "num_sentences": self._num_sentences, | |
| "key_sentences": list(self._key_sentences), | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["num_sentences", "key_sentences"] | |
| def check_following(self, value): | |
| """Checks if the response contains the expected key sentences.""" | |
| count = 0 | |
| sentences = instructions_util.split_into_sentences(value) | |
| for sentence in self._key_sentences: | |
| if sentence in sentences: | |
| count += 1 | |
| return count == self._num_sentences | |
| class ForbiddenWords(Instruction): | |
| """Checks that specified words are not used in response.""" | |
| def build_description(self, forbidden_words=None): | |
| """Build the instruction description. | |
| Args: | |
| forbidden_words: A sequences of strings representing words that are not | |
| allowed in the response. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| if not forbidden_words: | |
| raise ValueError("Class ForbiddenWords requires forbidden_words") | |
| # self._forbidden_words = instructions_util.generate_keywords( | |
| # num_keywords=_NUM_KEYWORDS | |
| # ) | |
| else: | |
| self._forbidden_words = [unicodedata.normalize('NFC', forbidden_word) for forbidden_word in forbidden_words] | |
| self._forbidden_words = sorted(self._forbidden_words) | |
| self._description_pattern = ( | |
| "Do not include keywords {forbidden_words} in the response." | |
| ) | |
| return self._description_pattern.format(forbidden_words=self._forbidden_words) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return {"forbidden_words": self._forbidden_words} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["forbidden_words"] | |
| def check_following(self, value): | |
| """Check if the response does not contain the expected keywords.""" | |
| for word in self._forbidden_words: | |
| # [hanifeval] substring match: with \b, a noun followed by a particle (사과를) escaped detection. | |
| if re.search(re.escape(word), value, flags=re.IGNORECASE): | |
| return False | |
| return True | |
| # 현재(25.04.17 lm-eval-harness ifeval 기준) 사용하지 않는 채점기준 | |
| class RephraseParagraph(Instruction): | |
| """Checks that the paragraph is rephrased.""" | |
| def build_description(self, *, original_paragraph, low, high): | |
| """Builds the instruction description. | |
| Args: | |
| original_paragraph: A string presenting the original paragraph. The | |
| rephrases response should have betweeb low-high words in common. | |
| low: An integer presenting the lower bound of similar words. | |
| high: An integer representing the upper bound of similar words. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| # TODO(jeffrey) make more encompassing | |
| self._original_paragraph = original_paragraph | |
| self._low = low | |
| self._high = high | |
| self._description = ( | |
| "Rephrase the following paragraph: " | |
| + "{original_paragraph}\nYour response should have " | |
| + "between {low} and {high} of the same words. " | |
| + "Words are the same if and only if all of the " | |
| + "letters, ignoring cases, are the same. For " | |
| + "example, 'run' is the same as 'Run' but different " | |
| + "to 'ran'." | |
| ) | |
| return self._description.format( | |
| original_paragraph=original_paragraph, low=self._low, high=self._high | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return { | |
| "original_paragraph": self._original_paragraph, | |
| "low": self._low, | |
| "high": self._high, | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["original_paragraph", "low", "high"] | |
| def check_following(self, value): | |
| val_words = re.findall(r"\w+", value.lower()) | |
| original_words = re.findall(r"\w+", self._original_paragraph.lower()) | |
| similar_words = 0 | |
| dict_val = collections.Counter(val_words) | |
| dict_original = collections.Counter(original_words) | |
| for word in dict_original: | |
| similar_words += min(dict_original[word], dict_val[word]) | |
| return similar_words >= self._low and similar_words <= self._high | |
| class TwoResponsesChecker(Instruction): | |
| """Check that two responses were given.""" | |
| def build_description(self): | |
| """Build the instruction description.""" | |
| self._description_pattern = ( | |
| "Give two different responses. Responses and only responses should" | |
| " be separated by 6 asterisk symbols: ******." | |
| ) | |
| return self._description_pattern | |
| def get_instruction_args(self): | |
| """Returns the keyword args of `build_description`.""" | |
| return None | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| """Checks if the response has two different answers. | |
| Args: | |
| value: A string representing the response. | |
| Returns: | |
| True if two responses are detected and false otherwise. | |
| """ | |
| valid_responses = list() | |
| responses = value.split("******") | |
| for index, response in enumerate(responses): | |
| if not response.strip(): | |
| if index != 0 and index != len(responses) - 1: | |
| return False | |
| else: | |
| valid_responses.append(response) | |
| return ( | |
| len(valid_responses) == 2 | |
| and valid_responses[0].strip() != valid_responses[1].strip() | |
| ) | |
| class RepeatPromptThenAnswer(Instruction): | |
| """Checks that Prompt is first repeated then answered.""" | |
| def build_description(self, *, prompt_to_repeat=None): | |
| """Build the instruction description. | |
| Args: | |
| prompt_to_repeat: The prompt that is meant to be repeated. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| if not prompt_to_repeat: | |
| raise ValueError("prompt_to_repeat must be set.") | |
| else: | |
| self._prompt_to_repeat = prompt_to_repeat | |
| self._prompt_to_repeat = unicodedata.normalize('NFC', self._prompt_to_repeat) | |
| self._description_pattern = ( | |
| "First repeat the request word for word without change," | |
| " then give your answer (1. do not say any words or characters" | |
| " before repeating the request; 2. the request you need to repeat" | |
| " does not include this sentence)" | |
| ) | |
| return self._description_pattern | |
| def get_instruction_args(self): | |
| return {"prompt_to_repeat": self._prompt_to_repeat} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["prompt_to_repeat"] | |
| def check_following(self, value): | |
| if value.strip().lower().startswith(self._prompt_to_repeat.strip().lower()): | |
| return True | |
| return False | |
| class EndChecker(Instruction): | |
| """Checks that the prompt ends with a given phrase.""" | |
| def build_description(self, *, end_phrase=None): | |
| """Build the instruction description. | |
| Args: | |
| end_phrase: A string representing the phrase the response should end with. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| self._end_phrase = ( | |
| end_phrase.strip() if isinstance(end_phrase, str) else end_phrase | |
| ) | |
| if self._end_phrase is None: | |
| self._end_phrase = random.choice(_ENDING_OPTIONS) # _ENDING_OPTIONS 는 번역됨 | |
| self._end_phrase = unicodedata.normalize('NFC', self._end_phrase) | |
| self._description_pattern = ( | |
| "Finish your response with this exact phrase {ender}. " | |
| "No other words should follow this phrase." | |
| ) | |
| return self._description_pattern.format(ender=self._end_phrase) | |
| def get_instruction_args(self): | |
| return {"end_phrase": self._end_phrase} | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["end_phrase"] | |
| def check_following(self, value): | |
| """Checks if the response ends with the expected phrase.""" | |
| value = value.strip().strip('"').lower() | |
| self._end_phrase = self._end_phrase.strip().lower() | |
| return value.endswith(self._end_phrase) | |
| class TitleChecker(Instruction): | |
| """Checks the response for a title.""" | |
| def build_description(self): | |
| """Build the instruction description.""" | |
| self._description_pattern = ( | |
| "Your answer must contain a title, wrapped in double angular brackets," | |
| " such as <<poem of joy>>." | |
| ) | |
| return self._description_pattern | |
| def get_instruction_args(self): | |
| return None | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| """Checks if the response contains a title.""" | |
| pattern = r"<<[^\n]+>>" | |
| re_pattern = re.compile(pattern) | |
| titles = re.findall(re_pattern, value) | |
| for title in titles: | |
| if title.lstrip("<").rstrip(">").strip(): | |
| return True | |
| return False | |
| # 한국어 특성과 무관 | |
| class LetterFrequencyChecker(Instruction): | |
| """Checks letter frequency.""" | |
| def build_description(self, *, letter=None, let_frequency=None, let_relation=None): | |
| """Build the instruction description. | |
| Args: | |
| letter: A string representing a letter that is expected in the response. | |
| let_frequency: An integer specifying the number of times `keyword` is | |
| expected to appear in the response. | |
| let_relation: A string in (`less than`, `at least`), defining the | |
| relational operator for comparison. Two relational comparisons are | |
| supported for now; if 'less than', the actual number of | |
| occurrences < frequency; if 'at least', the actual number of | |
| occurrences >= frequency. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| if ( | |
| not letter | |
| or len(letter) > 1 | |
| or ord(letter.lower()) < 97 | |
| or ord(letter.lower()) > 122 | |
| ): | |
| self._letter = random.choice(list(string.ascii_letters)) | |
| else: | |
| self._letter = letter.strip() | |
| self._letter = self._letter.lower() | |
| self._frequency = let_frequency | |
| if self._frequency is None or self._frequency < 0: | |
| self._frequency = random.randint(1, _LETTER_FREQUENCY) | |
| if let_relation is None: | |
| self._comparison_relation = random.choice(_COMPARISON_RELATION) | |
| elif let_relation not in _COMPARISON_RELATION: | |
| raise ValueError( | |
| "The supported relation for comparison must be in " | |
| f"{_COMPARISON_RELATION}, but {let_relation} is given." | |
| ) | |
| else: | |
| self._comparison_relation = let_relation | |
| self._description_pattern = ( | |
| "In your response, the letter {letter} should appear {let_relation}" | |
| " {let_frequency} times." | |
| ) | |
| return self._description_pattern.format( | |
| letter=self._letter, | |
| let_frequency=self._frequency, | |
| let_relation=self._comparison_relation, | |
| ) | |
| def get_instruction_args(self): | |
| """Returns the keyword args of build description.""" | |
| return { | |
| "letter": self._letter, | |
| "let_frequency": self._frequency, | |
| "let_relation": self._comparison_relation, | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["letter", "let_frequency", "let_relation"] | |
| def check_following(self, value): | |
| """Checks that the response contains the letter at the right frequency.""" | |
| value = value.lower() | |
| letters = collections.Counter(value) | |
| if self._comparison_relation == _COMPARISON_RELATION[0]: | |
| return letters[self._letter] < self._frequency | |
| else: | |
| return letters[self._letter] >= self._frequency | |
| # 한국어 특성과 무관 | |
| class CapitalLettersEnglishChecker(Instruction): | |
| """Checks that the response is in english and is in all capital letters.""" | |
| def build_description(self): | |
| """Build the instruction description.""" | |
| self._description_pattern = ( | |
| "Your entire response should be in English, and in all capital letters." | |
| ) | |
| return self._description_pattern | |
| def get_instruction_args(self): | |
| return None | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| """Checks that the response is in English and in all capital letters.""" | |
| assert isinstance(value, str) | |
| try: | |
| return value.isupper() and langdetect.detect(value) == "en" | |
| except langdetect.LangDetectException as e: | |
| # Count as instruction is followed. | |
| logging.error( | |
| "Unable to detect language for text %s due to %s", value, e | |
| ) # refex: disable=pytotw.037 | |
| return True | |
| # 한국어 특성과 무관 | |
| class LowercaseLettersEnglishChecker(Instruction): | |
| """Checks that the response is in english and is in all lowercase letters.""" | |
| def build_description(self): | |
| """Build the instruction description.""" | |
| self._description_pattern = ( | |
| "Your entire response should be in English, and in all lowercase" | |
| " letters. No capital letters are allowed." | |
| ) | |
| return self._description_pattern | |
| def get_instruction_args(self): | |
| return None | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| """Checks that the response is in English and in all lowercase letters.""" | |
| assert isinstance(value, str) | |
| try: | |
| return value.islower() and langdetect.detect(value) == "en" | |
| except langdetect.LangDetectException as e: | |
| # Count as instruction is followed. | |
| logging.error( | |
| "Unable to detect language for text %s due to %s", value, e | |
| ) # refex: disable=pytotw.037 | |
| return True | |
| class CommaChecker(Instruction): | |
| """Checks the response for no commas.""" | |
| def build_description(self): | |
| """Build the instruction description.""" | |
| 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): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| """Checks that the response does not contain commas.""" | |
| return not re.search(r"\,", value) | |
| # 한국어 특성과 무관 | |
| class CapitalWordFrequencyChecker(Instruction): | |
| """Checks frequency of words with all capital letters.""" | |
| def build_description( | |
| self, | |
| capital_frequency=None, | |
| capital_relation=None, | |
| ): | |
| """Build the instruction description. | |
| Args: | |
| capital_frequency: An integer that represents the number of words that | |
| should be in all capital letters. | |
| capital_relation: A string that is 'at least' or 'at most' that refers to | |
| the frequency. | |
| Returns: | |
| A string representing the instruction description. | |
| """ | |
| 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( | |
| "The supported relation for comparison must be in " | |
| f"{_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): | |
| """Returns the keyword args of build description.""" | |
| return { | |
| "capital_frequency": self._frequency, | |
| "capital_relation": self._comparison_relation, | |
| } | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return ["capital_frequency", "capital_relation"] | |
| def check_following(self, value): | |
| """Checks the frequency of words with all capital letters.""" | |
| # Hyphenated words will count as one word | |
| 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): | |
| """Checks response is wrapped with double quotation marks.""" | |
| def build_description(self): | |
| """Build the instruction description.""" | |
| self._description_pattern = ( | |
| "Wrap your entire response with double quotation marks." | |
| ) | |
| return self._description_pattern | |
| def get_instruction_args(self): | |
| """Returns the keyword args of build description.""" | |
| return None | |
| def get_instruction_args_keys(self): | |
| """Returns the args keys of `build_description`.""" | |
| return [] | |
| def check_following(self, value): | |
| """Checks if the response is wrapped with double quotation marks.""" | |
| value = value.strip() | |
| return len(value) > 1 and value[0] == '"' and value[-1] == '"' | |