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 article below:

Middle-of-funnel content

At this next stage, your target audience is now aware of your business and the solution you provide, and they’re interested.

They trust you enough to make slightly bigger commitments, like signing up for a webinar and engaging with longer-form content; and they’re interested enough in your offering to read brand-specific material like case studies, testimonials, and newsletter emails.

Their goal is to learn more about the solution you provide—both in general and the one specifically offered by your business.

Your goal is to educate them on your offering and set your business apart from competitors—not just with your features and benefits but with your expertise and knowledge.

Next, write a summary of what it says about Middle-of-funnel content
Response: Middle-of-funnel content includes brand-specific content that educates interested audiences that are already considering an offer.

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 main points of the following text: Text summarization is a crucial technique in natural language processing that aims to condense large volumes of text into a concise and informative summary. There are two primary approaches to text summarization: extractive and abstractive. Extractive summarization involves identifying and extracting the most important sentences or phrases from the original text and combining them to form a summary. This method preserves the original wording and structure of the text. On the other hand, abstractive summarization generates entirely new sentences that capture the essence of the input text, often using advanced language generation models. This approach allows for more flexibility and naturalness in the summary but requires a deeper understanding of the text's meaning and context. Both extractive and abstractive summarization techniques can be enhanced through the use of machine learning algorithms, which can be trained on large datasets of text and summaries to learn patterns and identify salient information.
user
The text discusses text summarization, a natural language processing technique that condenses large text into a concise summary. It outlines two main approaches: extractive summarization, which identifies and combines important sentences or phrases from the original text, and abstractive summarization, which generates new sentences capturing the text's essence using language generation models. Both methods can be enhanced through machine learning algorithms trained on text and summary datasets to identify salient information and patterns.
assistant