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.

How can automated summarization tools be beneficial, and what are some potential limitations or challenges associated with their use?
user
Automated summarization tools can be highly beneficial in quickly generating summaries of large volumes of text, saving time and effort compared to manual summarization. They can be particularly useful for processing large datasets, news articles, research papers, or reports. However, these tools also have limitations. They may struggle with accurately capturing context, nuance, and the true essence of the text, especially if it involves complex language, technical jargon, or domain-specific knowledge. Additionally, automated summaries may lack coherence, contain factual errors, or omit crucial information. Human oversight and review are often necessary to ensure the accuracy and quality of the generated summaries, especially in critical applications. Overall, while automated summarization tools can be powerful aids, they should be used judiciously and complemented with human judgment and expertise.
assistant