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.

Read the following text and summarize the key information in 4-5 sentences:

Evaluation metrics are crucial for assessing the quality of text summaries and guiding the development of effective summarization systems. Some commonly used metrics include ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which measures the overlap between the generated summary and reference summaries; BLEU (Bilingual Evaluation Understudy), which compares the generated summary to reference summaries at the n-gram level; and METEOR (Metric for Evaluation of Translation with Explicit ORdering), which considers both n-gram matches and synonym matches. These metrics provide quantitative measures of summary quality based on different aspects, such as content coverage, fluency, and coherence. However, they may not always align with human judgments, and researchers are exploring more advanced evaluation approaches, including those based on question-answering tasks and semantic similarity measures.
user
The text discusses evaluation metrics used to assess the quality of text summaries and guide the development of summarization systems. Key metrics mentioned include ROUGE, which measures content overlap with reference summaries; BLEU, which compares n-gram matches; and METEOR, which considers both n-gram and synonym matches. These metrics provide quantitative measures of aspects like content coverage, fluency, and coherence. However, they may not always align with human judgments, leading researchers to explore more advanced evaluation approaches based on question-answering tasks and semantic similarity.
assistant