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?


Apple once again posted an, until now, rare revenue decline in its latest fiscal quarter, but said its overall business improved from the December quarter and sales of its iPhones were solid.

The results reported Thursday were better than Wall Street’s muted expectations and Apple’s stock rose in after-hours trading.

The latest numbers come after the Cupertino, California, company in February posted its first quarterly revenue drop in nearly four years after pandemic-driven restrictions on its China factories curtailed sales of the latest iPhone during the holiday season.
Response: Apple announced a decline in revenue for its latest fiscal quarter. However, the results exceeded Wall Street's expectations.  Apple also had a quarterly revenue drop in February.

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.

Provide a summary of the given passage describing the different types of summarization algorithms and their respective strengths and weaknesses.
user
The passage outlines the two main types of summarization algorithms: extractive and abstractive. Extractive algorithms identify and extract the most relevant sentences or phrases from the original text to form the summary. While computationally efficient, these methods may struggle with coherence and fail to capture the overall meaning. Abstractive algorithms, on the other hand, generate entirely new sentences to convey the key information, often using advanced techniques like deep learning. Abstractive summaries can better capture the context and meaning, but are more complex and resource-intensive to develop. The passage highlights the trade-offs between these approaches, with extractive methods being simpler but potentially less accurate, while abstractive methods are more sophisticated but computationally demanding.
assistant