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: Read the following: 

If a Spanish class were to go on an in-country immersion in Spain, they’d be flooded by the sights and sounds of native speakers going about their business. Good times! But that would make a huge dent in everybody’s budget. So why not bring a native speaker to class instead?

Pick somebody who’s outgoing, a natural extrovert who loves interacting with people and doesn’t take himself too seriously. Ask him to prepare a short talk. And he can really talk about anything—so long as he does it in Spanish. He can tell his personal story, talk about his job or share some interesting quirk about his culture.

You may be a native speaker yourself, but count yourself out. Bring some new face to stand in front of the class. (There’s just something more effective about a fresh face.)

Now, please summarize what it says about having a native speaker visit the classroom.
Response: Bringing a native speaker into the classroom can help immerse students in a foreign language. Invite a guest speaker who is outgoing, extroverted, and has something interesting to share. 

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.

Read the following text and summarize the main points about summarizing news articles:

News article summarization is a challenging task due to the complexity and diversity of news content. News articles often cover multiple topics, include quotes and opinions, and may contain background information or analysis. An effective news summarization system must be able to identify the most newsworthy and salient information, while preserving the factual accuracy and objectivity of the original article. Several approaches have been explored, including extractive methods that select and concatenate the most important sentences from the article, and abstractive methods that generate new sentences to capture the essence of the article. Incorporating domain knowledge, understanding the writing style and structure of news articles, and handling temporal and contextual information are key challenges. News summarization has practical applications in news aggregation services, personalized news delivery, and news analysis and monitoring.
user
The text discusses the challenges and approaches of summarizing news articles. News articles often cover multiple topics, include quotes and opinions, and contain background information, making summarization difficult. Effective news summarization systems must identify the most newsworthy and salient information while preserving factual accuracy and objectivity. Extractive methods select and concatenate important sentences, while abstractive methods generate new sentences to capture the essence. Key challenges include incorporating domain knowledge, understanding news writing styles and structures, and handling temporal and contextual information. News summarization has applications in news aggregation, personalized news delivery, and news analysis and monitoring.
assistant