1_synthetic-qa-generation/evolve-instruct/evolve.py [29:78]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - if not do_md_to_text: return md assert md is not None, "Markdown is None" html = markdown.markdown(md) soup = BeautifulSoup(html, features='html.parser') return soup.get_text() class Mutation(Enum): FRESH_START = 0 ADD_CONSTRAINTS = 1 DEEPEN = 2 CONCRETIZE = 3 INCREASE_REASONING = 4 COMPLICATE = 5 SWITCH_TOPIC = 6 # Retrieved from https://github.com/nlpxucan/WizardLM/tree/main base_depth_instruction = "I want you act as a Prompt Rewriter.\r\n \ Your objective is to rewrite a given prompt into a more complex version to make those famous AI systems (e.g., chatgpt and GPT4) a bit harder to handle.\r\n \ But the rewritten prompt must be reasonable and must be understood and responded by humans.\r\n \ Your rewriting cannot omit the non-text parts such as the table and code in #The Given Prompt#:. Also, please do not omit the input in #The Given Prompt#. \r\n \ You SHOULD complicate the given prompt using the following method: \r\n\ {} \r\n\ You should try your best not to make the #Rewritten Prompt# become verbose, #Rewritten Prompt# can only add 10 to 20 words into #The Given Prompt#. \r\n\ '#The Given Prompt#', '#Rewritten Prompt#', 'given prompt' and 'rewritten prompt' are not allowed to appear in #Rewritten Prompt#\r\n" base_breadth_instruction = "I want you act as a Prompt Creator.\r\n\ Your goal is to draw inspiration from the #Given Prompt# to create a brand new prompt.\r\n\ This new prompt should belong to the same domain as the #Given Prompt# but be even more rare.\r\n\ The LENGTH and complexity of the #Created Prompt# should be similar to that of the #Given Prompt#.\r\n\ The #Created Prompt# must be reasonable and must be understood and responded by humans.\r\n\ '#Given Prompt#', '#Created Prompt#', 'given prompt' and 'created prompt' are not allowed to appear in #Created Prompt#\r\n" complicate_prompt = base_depth_instruction.format("#Given Prompt# to make it slightly more complicated.'") constraints_prompt = base_depth_instruction.format("Please add one more constraints/requirements into #The Given Prompt#'") deepen_prompt = base_depth_instruction.format("If #The Given Prompt# contains inquiries about certain issues, the depth and breadth of the inquiry can be increased.") concretizing_prompt = base_depth_instruction.format("Please replace general concepts with more specific concepts.") reasoning_prompt = base_depth_instruction.format("If #The Given Prompt# can be solved with just a few simple thinking processes, you can rewrite it to explicitly request multiple-step reasoning.") class WizardLM: def __init__( self, llm_pipeline: pipeline = None, seed_data: List[str] = None, column_names: List[str] = ["instruction"], num_rows: int = 10, min_len_chars: int = 512, max_len_chars: int = 1024, verbose: bool = False, - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1_synthetic-qa-generation/reasoningplaning/evolve.py [236:285]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - if not do_md_to_text: return md assert md is not None, "Markdown is None" html = markdown.markdown(md) soup = BeautifulSoup(html, features='html.parser') return soup.get_text() class Mutation(Enum): FRESH_START = 0 ADD_CONSTRAINTS = 1 DEEPEN = 2 CONCRETIZE = 3 INCREASE_REASONING = 4 COMPLICATE = 5 SWITCH_TOPIC = 6 # Retrieved from https://github.com/nlpxucan/WizardLM/tree/main base_depth_instruction = "I want you act as a Prompt Rewriter.\r\n \ Your objective is to rewrite a given prompt into a more complex version to make those famous AI systems (e.g., chatgpt and GPT4) a bit harder to handle.\r\n \ But the rewritten prompt must be reasonable and must be understood and responded by humans.\r\n \ Your rewriting cannot omit the non-text parts such as the table and code in #The Given Prompt#:. Also, please do not omit the input in #The Given Prompt#. \r\n \ You SHOULD complicate the given prompt using the following method: \r\n\ {} \r\n\ You should try your best not to make the #Rewritten Prompt# become verbose, #Rewritten Prompt# can only add 10 to 20 words into #The Given Prompt#. \r\n\ '#The Given Prompt#', '#Rewritten Prompt#', 'given prompt' and 'rewritten prompt' are not allowed to appear in #Rewritten Prompt#\r\n" base_breadth_instruction = "I want you act as a Prompt Creator.\r\n\ Your goal is to draw inspiration from the #Given Prompt# to create a brand new prompt.\r\n\ This new prompt should belong to the same domain as the #Given Prompt# but be even more rare.\r\n\ The LENGTH and complexity of the #Created Prompt# should be similar to that of the #Given Prompt#.\r\n\ The #Created Prompt# must be reasonable and must be understood and responded by humans.\r\n\ '#Given Prompt#', '#Created Prompt#', 'given prompt' and 'created prompt' are not allowed to appear in #Created Prompt#\r\n" complicate_prompt = base_depth_instruction.format("#Given Prompt# to make it slightly more complicated.'") constraints_prompt = base_depth_instruction.format("Please add one more constraints/requirements into #The Given Prompt#'") deepen_prompt = base_depth_instruction.format("If #The Given Prompt# contains inquiries about certain issues, the depth and breadth of the inquiry can be increased.") concretizing_prompt = base_depth_instruction.format("Please replace general concepts with more specific concepts.") reasoning_prompt = base_depth_instruction.format("If #The Given Prompt# can be solved with just a few simple thinking processes, you can rewrite it to explicitly request multiple-step reasoning.") class WizardLM: def __init__( self, llm_pipeline: pipeline = None, seed_data: List[str] = None, column_names: List[str] = ["instruction"], num_rows: int = 10, min_len_chars: int = 512, max_len_chars: int = 1024, verbose: bool = False, - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -