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 on the process of text summarization:

Text summarization is the process of creating a concise and precise summary of lengthy sources of information. The goal is to present the most important details in a clear and structured manner while preserving the key points and overall meaning. There are two main approaches to text summarization: extractive and abstractive. Extractive summarization selects the most relevant sentences or phrases from the original text to form the summary. Abstractive summarization, on the other hand, involves generating new sentences to capture the essential information, often rephrasing or combining details from the source material. Both techniques can be employed using rule-based methods or, more commonly, machine learning algorithms trained on large datasets. Effective summarization is vital for quickly grasping the core content of long documents, reports, or articles without having to read through the entire text.
user
The given text explains that text summarization is the process of creating a concise summary from lengthy sources by extracting the most relevant sentences (extractive summarization) or generating new sentences that capture the essential information (abstractive summarization). It states that both rule-based methods and machine learning algorithms can be used for summarization, which is crucial for quickly understanding the key points of long documents without reading the entire text.
assistant