Summarize the following passage about summarization techniques:

Text summarization refers to the process of distilling the most important information from a source text to produce an abridged version for a particular user or task. There are two main approaches to summarization: extraction and abstraction. Extractive summarization involves identifying and concatenating the most salient sentences from the input text to form summaries. Abstractive techniques go further by paraphrasing and generating new sentences to convey the key concepts in a more concise way. Common techniques for extractive summarization include word frequency analysis, cue phrases, topic representations, and machine learning classifiers. Abstractive approaches leverage advanced language models and sequence-to-sequence models to generate novel sentences. Evaluation methods like ROUGE compare system summaries to human-written references.
Summarize the following passage about summarization techniques:

Text summarization refers to the process of distilling the most important information from a source text to produce an abridged version for a particular user or task. There are two main approaches to summarization: extraction and abstraction. Extractive summarization involves identifying and concatenating the most salient sentences from the input text to form summaries. Abstractive techniques go further by paraphrasing and generating new sentences to convey the key concepts in a more concise way. Common techniques for extractive summarization include word frequency analysis, cue phrases, topic representations, and machine learning classifiers. Abstractive approaches leverage advanced language models and sequence-to-sequence models to generate novel sentences. Evaluation methods like ROUGE compare system summaries to human-written references.
user
The passage explains that text summarization techniques can be extractive, identifying and concatenating salient sentences from the source text, or abstractive, generating new sentences that paraphrase the key ideas. It outlines common approaches for each type, such as frequency analysis and machine learning for extractive methods, and language models for abstractive methods. Evaluation is done by comparing system summaries to human references.
assistant
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.
