protein-retrieval-base / prompts /retrieval_prompt.py
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from dataclasses import dataclass
@dataclass
class BasePrompt:
description: str
content: str
@dataclass
class DecomposePrompt(BasePrompt):
description = "Question decomposition"
content = "You are a Question Decomposer. " + \
"Given a question and an image input in any, your task is to breaking it down into multiple subquestions and provide a list of strings: ['<subquestion1>', '<subquestion2>', ...]. " + \
"Output a maximum of five subquestions." + \
"ENSURE each subquestion is a complete question that avoids vague concepts requiring reference to other subquestions, such as determiners and pronouns. " + \
"ONLY output the list of subquestions. "
@dataclass
class SummaryPrompt(BasePrompt):
description = "Answer Summarization"
content = "You are a Answer Summarizer. " + \
"Given a primary question, your task is to generate summarized answer by distilling and orginazing information from several subquestion-subanswer pairs and related researches of the primary question. " + \
"ENSURE the answer is concise and coherent. " + \
"ONLY output the final summarized answer. "
@dataclass
class QAPrompt(BasePrompt):
description = "Question Answering"
content = "You are a Question-Answerer. " + \
"Given a question, your task is to answer it according to the references. " + \
"If you find the references insufficient, you can answer the question according to your own knowledge. " + \
"Provide a comprehensive and detailed answer. " + \
"Please limit your answer to within 300 words if possible " + \
"ONLY output the answer. "
@dataclass
class ReferencePrompt(BasePrompt):
description = "Reference Refinement"
content = "You are a Reference Refiner. " + \
"Given paragraphs extract from a paper, your task is to remove the unnecessary and messy symbols to make it more readable. " + \
"But keep the original expression and sentences as much as possible. " + \
"ONLY output the refined paragraphs. "
@dataclass
class ReversePrompt(BasePrompt):
description = "Reverse Chain of Thought"
content = ""