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: Shorten this storyline to one sentence while keeping as much of the info as possible:

Storyline

When Miami dentist Ted Brooks learns that his birth mother has passed away and that he was named in her will, he travels to Alaska to claim his inheritance. Rather than the large chunk of change that many people would expect, Ted instead receives his mother's pack of rowdy sled dogs and her property. Although the dogs seemingly have it in for Ted, he decides to keep the dogs and race them in the local race, the Arctic Challenge, spiting a mountain man who wants the dogs. What follows is a comedy detailing Ted's adventures in learning to run the sled dogs.—Anna <dimenxia@yahoo.com>
Response: Ted Brooks, a Miama dentist, finds out his birth mother died and has to go to Alaska for his inheritance: a pack of sled dogs that seem to have it out for him. 

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.

Summarize the challenges and future directions in automatic summarization:

While significant progress has been made in the field of automatic summarization, several challenges and open research directions remain. One major challenge is handling the complexity and diversity of natural language, including ambiguity, context-dependent meaning, and varying writing styles. Additionally, generating coherent and fluent summaries that maintain the logical flow and overall structure of the original text remains a difficult task, especially for abstractive summarization methods. Another challenge is the need for domain-specific summarization systems that can effectively handle technical terminology and domain-specific knowledge. Furthermore, as the amount of digital information continues to grow exponentially, there is a need for scalable and efficient summarization techniques that can process large volumes of data in real-time. Future research directions in automatic summarization may involve exploring advanced language models, incorporating external knowledge sources, and developing more robust evaluation metrics that better capture the quality and usability of generated summaries.
user
Despite progress, automatic summarization still faces challenges like handling natural language complexity, generating coherent and fluent summaries, developing domain-specific systems, and scaling to large data volumes. Future research may involve advanced language models, incorporating external knowledge, and improving evaluation metrics to better assess summary quality and usability.
assistant