镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-05 22:16:49 +00:00
8042750d41
* stage academic conversation * stage document conversation * fix buggy gradio version * file dynamic load * merge more academic plugins * accelerate nltk * feat: 为predict函数添加文件和URL读取功能 - 添加URL检测和网页内容提取功能，支持自动提取网页文本 - 添加文件路径识别和文件内容读取功能，支持private_upload路径格式 - 集成WebTextExtractor处理网页内容提取 - 集成TextContentLoader处理本地文件读取 - 支持文件路径与问题组合的智能处理 * back * block unstable --------- Co-authored-by: XiaoBoAI <liuboyin2019@ia.ac.cn>
108 行
3.6 KiB
Python
108 行
3.6 KiB
Python
# PubMed search type prompt
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PUBMED_TYPE_PROMPT = """Analyze the research query and determine the appropriate PubMed search type.
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Query: {query}
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Available search types:
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1. basic: General keyword search for medical/biomedical topics
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2. author: Search by author name
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3. journal: Search within specific journals
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4. none: Query not related to medical/biomedical research
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Examples:
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1. Query: "COVID-19 treatment outcomes"
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<search_type>basic</search_type>
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2. Query: "Papers by Anthony Fauci"
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<search_type>author</search_type>
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3. Query: "Recent papers in Nature about CRISPR"
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<search_type>journal</search_type>
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4. Query: "Deep learning for computer vision"
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<search_type>none</search_type>
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5. Query: "Transformer architecture for NLP"
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<search_type>none</search_type>
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Please analyze the query and respond ONLY with XML tags:
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<search_type>Choose: basic, author, journal, or none</search_type>"""
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# PubMed query optimization prompt
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PUBMED_QUERY_PROMPT = """Optimize the following query for PubMed search.
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Query: {query}
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Task: Transform the natural language query into an optimized PubMed search query.
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Requirements:
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- Always generate English search terms regardless of input language
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- Translate any non-English terms to English before creating the query
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- Never include non-English characters in the final query
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IMPORTANT: Ignore any requirements about journal ranking (CAS, JCR, IF index),
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or output format requirements. Focus only on the core medical/biomedical topic for the search query.
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Available field tags:
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- [Title] - Search in title
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- [Author] - Search for author
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- [Journal] - Search in journal name
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- [MeSH Terms] - Search using MeSH terms
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Boolean operators:
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- AND
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- OR
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- NOT
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Examples:
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1. Query: "COVID-19 treatment in elderly patients"
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<query>COVID-19[Title] AND treatment[Title/Abstract] AND elderly[Title/Abstract]</query>
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2. Query: "Cancer immunotherapy review articles"
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<query>cancer immunotherapy[Title/Abstract] AND review[Publication Type]</query>
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Please analyze the query and respond ONLY with XML tags:
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<query>Provide the optimized PubMed search query</query>"""
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# PubMed sort parameters prompt
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PUBMED_SORT_PROMPT = """Determine optimal sorting parameters for PubMed results.
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Query: {query}
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Task: Select the most appropriate sorting method and result limit.
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Available sort options:
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- relevance: Best match to query
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- date: Most recent first
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- journal: Sort by journal name
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Examples:
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1. Query: "Latest developments in gene therapy"
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<sort_by>date</sort_by>
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<limit>30</limit>
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2. Query: "Classic papers about DNA structure"
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<sort_by>relevance</sort_by>
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<limit>20</limit>
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Please analyze the query and respond ONLY with XML tags:
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<sort_by>Choose: relevance, date, or journal</sort_by>
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<limit>Suggest number between 10-50</limit>"""
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# System prompts
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PUBMED_TYPE_SYSTEM_PROMPT = """You are an expert at analyzing medical and scientific queries.
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Your task is to determine the most appropriate PubMed search type.
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Consider the query's focus and intended search scope.
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Always respond in English regardless of the input language."""
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PUBMED_QUERY_SYSTEM_PROMPT = """You are an expert at crafting PubMed search queries.
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Your task is to optimize natural language queries using PubMed's search syntax.
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Focus on creating precise, targeted queries that will return relevant medical literature.
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Always generate English search terms regardless of the input language."""
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PUBMED_SORT_SYSTEM_PROMPT = """You are an expert at optimizing PubMed search results.
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Your task is to determine the best sorting parameters based on the query context.
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Consider the balance between relevance and recency.
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Always respond in English regardless of the input language.""" |