Evaluation is an important aspect of text summarization systems. There are several metrics used to assess the quality and performance of these systems. Read the following descriptions of some commonly used evaluation metrics, then write a detailed instruction on how to choose the most appropriate metric(s) based on the specific requirements and characteristics of the summarization task:
Evaluation is an important aspect of text summarization systems. There are several metrics used to assess the quality and performance of these systems. Read the following descriptions of some commonly used evaluation metrics, then write a detailed instruction on how to choose the most appropriate metric(s) based on the specific requirements and characteristics of the summarization task:
user
To choose the most appropriate evaluation metric(s) for a text summarization task, consider the following factors based on the task's specific requirements and characteristics: 1) Determine whether the focus is on evaluating the content quality, linguistic quality, or both aspects of the generated summaries. 2) Assess the availability of human-generated reference summaries for comparison. 3) Evaluate the importance of capturing semantic similarity or exact word-matching between the system and reference summaries. 4) Consider the desired level of granularity in the evaluation, such as assessing individual components (e.g., informativeness, coherence, fluency) or overall summary quality. 5) If human-generated references are available and content quality is the primary concern, metrics like ROUGE (Recall-Oriented Understudy for Gisting Evaluation) or PYRAMID may be suitable. 6) If linguistic quality is crucial, metrics like BLEU (Bilingual Evaluation Understudy) or METEOR (Metric for Evaluation of Translation with Explicit ORdering) can be used. 7) For assessing both content and linguistic aspects, combined or hybrid metrics like BERTScore or MoverScore may be appropriate. 8) If no references are available or human evaluation is feasible, metrics like Pyramid or Responsiveness may be considered.
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.
