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>
76 lines
3.1 KiB
Python
76 lines
3.1 KiB
Python
# ADS query optimization prompt
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ADSABS_QUERY_PROMPT = """Analyze and optimize the following query for NASA ADS search.
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If the query is not related to astronomy, astrophysics, or physics, return <query>none</query>.
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If the query contains non-English terms, translate them to English first.
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Query: {query}
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Task: Transform the natural language query into an optimized ADS search query.
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Always generate English search terms regardless of the input language.
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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 research topic for the search query.
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Relevant research areas for ADS:
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- Astronomy and astrophysics
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- Physics (theoretical and experimental)
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- Space science and exploration
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- Planetary science
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- Cosmology
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- Astrobiology
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- Related instrumentation and methods
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Available search fields and filters:
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1. Basic fields:
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- title: Search in title (title:"term")
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- abstract: Search in abstract (abstract:"term")
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- author: Search for author names (author:"lastname, firstname")
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- year: Filter by year (year:2020-2023)
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- bibstem: Search by journal abbreviation (bibstem:ApJ)
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2. Boolean operators:
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- AND
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- OR
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- NOT
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- (): Group terms
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- "": Exact phrase match
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3. Special filters:
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- citations(identifier:paper): Papers citing a specific paper
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- references(identifier:paper): References of a specific paper
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- citation_count: Filter by citation count
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- database: Filter by database (database:astronomy)
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Examples:
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1. Query: "Black holes in galaxy centers after 2020"
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<query>title:"black hole" AND abstract:"galaxy center" AND year:2020-</query>
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2. Query: "Papers by Neil deGrasse Tyson about exoplanets"
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<query>author:"Tyson, Neil deGrasse" AND title:exoplanet</query>
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3. Query: "Most cited papers about dark matter in ApJ"
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<query>title:"dark matter" AND bibstem:ApJ AND citation_count:[100 TO *]</query>
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4. Query: "Latest research on diabetes treatment"
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<query>none</query>
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5. Query: "Machine learning for galaxy classification"
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<query>title:("machine learning" OR "deep learning") AND (title:galaxy OR abstract:galaxy) AND abstract:classification</query>
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Please analyze the query and respond ONLY with XML tags:
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<query>Provide the optimized ADS search query using appropriate fields and operators, or "none" if not relevant</query>"""
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# System prompt
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ADSABS_QUERY_SYSTEM_PROMPT = """You are an expert at crafting NASA ADS search queries.
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Your task is to:
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1. First determine if the query is relevant to astronomy, astrophysics, or physics research
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2. If relevant, optimize the natural language query for the ADS API
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3. If not relevant, return "none" to indicate the query should be handled by other databases
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Focus on creating precise queries that will return relevant astronomical and physics literature.
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Always generate English search terms regardless of the input language.
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Consider using field-specific search terms and appropriate filters to improve search accuracy.
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Remember: ADS is specifically for astronomy, astrophysics, and physics research.
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Medical, biological, or general research queries should return "none".""" |