Automatic text summarization is a natural language processing task that aims to generate a concise and coherent summary of a given text document. There are two main approaches to this task: extractive and abstractive summarization. Read the following descriptions of these approaches, then write a detailed instruction on how to choose between them based on the specific requirements and characteristics of the input text:
Automatic text summarization is a natural language processing task that aims to generate a concise and coherent summary of a given text document. There are two main approaches to this task: extractive and abstractive summarization. Read the following descriptions of these approaches, then write a detailed instruction on how to choose between them based on the specific requirements and characteristics of the input text:
user
To choose between extractive and abstractive summarization approaches, consider the following factors based on the input text's requirements and characteristics: 1) Determine if verbatim extraction of important sentences or phrases from the original text is sufficient, or if rephrasing and generation of new sentences is necessary. 2) Evaluate the input text's writing style, complexity, and presence of technical or domain-specific language. 3) Assess the desired summary length and the level of detail required. 4) Consider the computational resources and time constraints for the summarization task. 5) If the input text is well-structured, with clearly identifiable key sentences, and a concise summary is desired, extractive summarization may be more suitable. 6) If the input text is complex, contains redundant or irrelevant information, and a more condensed or rephrased summary is needed, abstractive summarization may be more appropriate. 7) For longer, less structured texts or when summarizing multiple documents, abstractive approaches may be better suited.
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.
