Summarize the different evaluation metrics and approaches discussed in the following paragraph for assessing the quality of text summaries:

Evaluating the quality of text summaries is a crucial aspect of text summarization research and development. Several evaluation metrics and approaches have been proposed to assess the effectiveness of summarization systems. Some common metrics include ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which measures the overlap between the generated summary and human-written reference summaries, and BLEU (Bilingual Evaluation Understudy), which compares the generated summary to reference summaries at the n-gram level. Additionally, manual evaluation by human judges is often employed to assess factors such as coherence, readability, and overall quality. Evaluation approaches may also involve task-based assessments, where the effectiveness of the summaries is evaluated based on their impact on specific tasks or applications.
Summarize the different evaluation metrics and approaches discussed in the following paragraph for assessing the quality of text summaries:

Evaluating the quality of text summaries is a crucial aspect of text summarization research and development. Several evaluation metrics and approaches have been proposed to assess the effectiveness of summarization systems. Some common metrics include ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which measures the overlap between the generated summary and human-written reference summaries, and BLEU (Bilingual Evaluation Understudy), which compares the generated summary to reference summaries at the n-gram level. Additionally, manual evaluation by human judges is often employed to assess factors such as coherence, readability, and overall quality. Evaluation approaches may also involve task-based assessments, where the effectiveness of the summaries is evaluated based on their impact on specific tasks or applications.
user
The different evaluation metrics and approaches discussed for assessing the quality of text summaries include: ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which measures the overlap between the generated and reference summaries; BLEU (Bilingual Evaluation Understudy), which compares the generated summary to reference summaries at the n-gram level; manual evaluation by human judges to assess coherence, readability, and overall quality; and task-based assessments, where the effectiveness of the summaries is evaluated based on their impact on specific tasks or applications.
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: Summarize the myth busted by this text.

Myth 8: 90 Percent of Fights Go to the Ground
This is often passed around in grappling arts and it is based on a study of law enforcement. What happens between the police and the people they are fighting isn’t what happens on the street day-to-day. There is a more updated study that shows about half of fights going to the ground. However, that study is based on CCTV footage so we don’t know how many of those people were compromised by drugs or alcohol. I was a high school teacher for years and I seldom saw hallway fights go to the ground. Did some? Yes. But not often. All that can be said for certain is that, in a fight, going to the ground is definitely a possibility.
Response: There is a myth that 90 percent of fights go to the ground. An updated study shows this only happens in about half of fights.

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.
