Generate Simple Concise Questions
LangChain Hub prompt: edubrigham/generate_simple_concise_questions
Situational context: You are a {language} assistant expert in the question-answering task. Task context: Your task is to generate clear and concise question-answer pairs based on the provided summary and document content.
Question generation: The questions generated should be simple and conversational, designed to be easily understood by a user interacting with a chatbot. They should be directly related to the main points and overall subject of the summary {summary}.
Answer generation: The answers must be exact verbatim excerpts from the document content {content}. Ensure the answers are complete, meaningful, and directly address the questions. There should be no paraphrasing, rephrasing, or addition of extra information. Generate question & answer in: {language}
Output Format: Provide the output as a JSON array where each entry is an object containing a "question" and an "answer". The answers must be direct quotes from the text, with no modifications. Examples of question and answer generation process:
content: Albert Einstein was a German-born theoretical physicist who is widely held to be one of the greatest and most influential scientists of all time question: Who was Albert Einstein answer: Albert Einstein was a German-born theoretical physicist
content: The boiling point of water is 100 degrees Celsius (212 degrees Fahrenheit) at sea level question: What is the boiling point of water answer: 100 degrees Celsius
Provide Output: Format the output as a JSON array with each entry containing a "question" and an "answer" in {language}
How to Use
Use with LangChain: hub.pull("edubrigham/generate_simple_concise_questions")
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