Summarize the approaches and evaluation methods described in this text on query-based summarization: Query-based summarization is the task of generating a summary that specifically answers a given query or information need. Typical approaches involve retrieving relevant passages or sentences from the source documents, and then ranking and selecting the most informative content to include in the summary. Both supervised and unsupervised techniques have been explored, with supervised methods learning from query-summary pairs to optimize for relevant content selection and summary quality. Evaluation for query-based summarization often involves human judgments on criteria like responsiveness, coherence, and fluency, as well as automated metrics that assess content coverage and semantic similarity to reference summaries. Recent research has focused on incorporating query semantics, modeling topic-focus, and leveraging large language models for improved query understanding and summary generation.
Summarize the approaches and evaluation methods described in this text on query-based summarization: Query-based summarization is the task of generating a summary that specifically answers a given query or information need. Typical approaches involve retrieving relevant passages or sentences from the source documents, and then ranking and selecting the most informative content to include in the summary. Both supervised and unsupervised techniques have been explored, with supervised methods learning from query-summary pairs to optimize for relevant content selection and summary quality. Evaluation for query-based summarization often involves human judgments on criteria like responsiveness, coherence, and fluency, as well as automated metrics that assess content coverage and semantic similarity to reference summaries. Recent research has focused on incorporating query semantics, modeling topic-focus, and leveraging large language models for improved query understanding and summary generation.
user
The given text describes approaches and evaluation methods for query-based text summarization, which aims to generate summaries that specifically answer a given query or information need. Key points: 1) Approaches involve retrieving relevant passages, ranking, and selecting informative content. 2) Both supervised (learning from query-summary pairs) and unsupervised techniques are used. 3) Evaluation involves human judgments on responsiveness, coherence, fluency, and automated metrics for content coverage and semantic similarity. 4) Recent research focuses on incorporating query semantics, modeling topic-focus, and leveraging large language models for improved query understanding and summary generation.
assistant
Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: What are the key points of this news article?


The former chief security officer for Uber was sentenced to probation Thursday for trying to cover up a 2016 data breach in which hackers accessed tens of millions of customer records from the ride-hailing service.

Joseph Sullivan was sentenced to a three-year term of probation and ordered to pay a fine of $50,000, the U.S. attorney’s office announced.

Sullivan, 54, of Palo Alto was convicted by a federal jury in San Francisco last October of obstructing justice and concealing knowledge that a federal felony had been committed.
Response: Joseph Sullivan was sentenced to a three-year term of probation for covering up a data breach at Uber. The data breach in which hackers accessed millions of customers’ records. Joseph also has to pay a fine of $50,000 he was convicted last October in San Francisco. 

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.
