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: Can you give me a tl;dr of the main social media platforms? 

Social media refers to the means of interactions among people in which they create, share, and/or exchange information and ideas in virtual communities and networks. The Office of Communications and Marketing manages the main Facebook, Twitter, Instagram, LinkedIn and YouTube accounts.
Response: Here are the main social media platforms: Facebook, Twitter, Instagram, LinkedIn, and YouTube.

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.

Compare and contrast extractive and abstractive summarization approaches, highlighting their respective strengths, weaknesses, and suitability for different scenarios.
user
Extractive summarization involves selecting and concatenating the most relevant sentences or phrases from the original text to form a summary. Its strengths lie in preserving the original language and factual accuracy while being computationally efficient. However, extractive summaries can sometimes lack coherence and fail to capture the broader context or nuanced meanings. In contrast, abstractive summarization generates entirely new sentences that paraphrase and synthesize the main ideas from the text. This approach can produce more concise, fluent, and coherent summaries tailored to the target audience, but it is more computationally complex and may introduce unintended errors or inaccuracies. Extractive methods are well-suited for summarizing factual texts or when verbatim quotes are important, while abstractive methods excel at summarizing subjective or creative content where rephrasing is beneficial.
assistant