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: Explain the main difference between pico de gallo and salsa. 


What’s the difference between pico de gallo and salsa?
Pico de gallo shares the same basic ingredients as traditional red salsa, but the preparation methods are different.

Pico de gallo always uses raw, diced ingredients. It’s less wet, and it adds a wonderful chunky texture and substance to tacos and more. Salsa can call for roasted or stewed tomatoes, and is generally closer to a purée in texture.

Both are delicious, both go great with guacamole, and I often layer pico de gallo over salsa for double the flavor (if only you could see my regular burrito bowl order at Chipotle).
Response: The main difference between pico de gallo and salsa is the texture: pico de gallo is chunky, whereas salsa is more like a puree. 

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.

Discuss the challenges and limitations of current text summarization methods and outline potential future research directions.
user
Current text summarization methods face several challenges and limitations: 1) Accurately capturing the most important information while maintaining coherence and factual consistency, 2) Dealing with complex linguistic phenomena like anaphora, paraphrasing, and inference, 3) Generating summaries that are tailored to specific user needs and contexts, and 4) Scaling to handle long and diverse types of text. Future research directions include: 1) Improving abstractive summarization models using large pre-trained language models and multi-task learning, 2) Developing methods for personalized and query-focused summarization, 3) Exploring ways to incorporate external knowledge and commonsense reasoning, and 4) Tackling the challenges of summarizing multimodal and multilingual content.
assistant