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: In short, what does this paragraph say about cleansers? Here is the text:
A mild cleanser: When selecting a cleanser, choose one for your skin type. Dr. Katta says, “For example, if you have acne-prone skin, use a mild cleanser that removes oil.” Dry skin does better with a hydrating cleanser.

To get the best results from your cleanser, wash your face twice a day – when you get up and before bed. You also want to wash after sweating.
Response: It says to choose a cleanser based on your skin type and to wash your face before and after bed and after sweating.

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 following text about the importance of summarization:

Summarization is a key skill in many domains, from research literature reviews to generating summaries of business reports for executives. The ability to concisely capture the core content while omitting redundant information can vastly improve comprehension and save time. Automatic text summarization leverages natural language processing to partly automate this process. However, producing high-quality summaries that retain key facts while avoiding incoherence or contradictions remains a challenging task. State-of-the-art models still struggle with consistent performance across domains. As summarization techniques improve, the applications will be widespread, from condensing lengthy legal documents to generating preview snippets for webpages or assisting professionals in quickly grasping large volumes of information.
user
The passage highlights the importance of summarization for understanding large amounts of content efficiently across domains like research, business, and law. Automatic text summarization using natural language processing can assist this process, but generating coherent, high-quality summaries remains challenging. As the techniques improve, summarization systems will have widespread applications for condensing lengthy documents, generating previews, and enabling professionals to quickly grasp key information.
assistant