Read the following passage about summarization techniques:

There are several techniques that can be used for summarizing text. One common approach is extractive summarization, which involves identifying the most important sentences or phrases in the original text and stringing them together to create a condensed version. This can be done manually or using automated methods that score sentences based on factors like word frequency, position in the text, and the presence of cue words.

Another technique is abstractive summarization, which aims to produce a more coherent and concise summary by rephrasing and restructuring the content, rather than simply extracting verbatim sentences. This often involves using natural language processing and generation models to interpret the meaning and essence of the text and convey it in new wording.

In some cases, a hybrid approach combining extractive and abstractive techniques may be employed. For multi-document summarization, where the goal is to summarize information from multiple source texts, graph-based methods can model relationships between concepts across documents.

Further techniques exist to cater to different types of input and desired output formats, such as summarizing multimedia content, generating query-focused summaries, or producing update summaries to reflect changes from a previous version.
Read the following passage about summarization techniques:

There are several techniques that can be used for summarizing text. One common approach is extractive summarization, which involves identifying the most important sentences or phrases in the original text and stringing them together to create a condensed version. This can be done manually or using automated methods that score sentences based on factors like word frequency, position in the text, and the presence of cue words.

Another technique is abstractive summarization, which aims to produce a more coherent and concise summary by rephrasing and restructuring the content, rather than simply extracting verbatim sentences. This often involves using natural language processing and generation models to interpret the meaning and essence of the text and convey it in new wording.

In some cases, a hybrid approach combining extractive and abstractive techniques may be employed. For multi-document summarization, where the goal is to summarize information from multiple source texts, graph-based methods can model relationships between concepts across documents.

Further techniques exist to cater to different types of input and desired output formats, such as summarizing multimedia content, generating query-focused summaries, or producing update summaries to reflect changes from a previous version.
user
The passage outlines various techniques for summarizing text, including extractive summarization that extracts important sentences, abstractive summarization that rephrases content using natural language processing, hybrid approaches combining both, and graph-based methods for multi-document summarization. It also mentions techniques for summarizing multimedia content, query-focused summaries, and update summaries.
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: 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.
