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 what Griner's book will be about. 

Reference these paragraphs from an NPR article: 

In Tuesday's press statement, Knopf said that the book would be "intimate and moving" and that Griner would disclose "in vivid detail her harrowing experience of her wrongful detainment (as classified by the State Department) and the difficulty of navigating the byzantine Russian legal system in a language she did not speak."

"Griner also describes her stark and surreal time living in a foreign prison and the terrifying aspects of day-to-day life in a women's penal colony," the announcement reads. "At the heart of the book, Griner highlights the personal turmoil she experienced during the near ten-month ordeal and the resilience that carried her through to the day of her return to the United States last December."

Brittney Griner is back home in the U.S. after a prisoner swap with Russia
NATIONAL
Brittney Griner is back home in the U.S. after a prisoner swap with Russia
Griner, 32, is a 6-foot-9 two-time Olympic gold medalist, three-time All-American at Baylor University, a prominent advocate for pay equity for women athletes and the first openly gay athlete to reach an endorsement deal with Nike. She is the author of one previous book, "In My Skin: My Life On and Off the Basketball Court," published in 2014.

In February, she re-signed with the Mercury and will play in its upcoming season, which runs from May through September.
Response: Brittney Griner's book will describe her personal turmoil and overall experiences while she was detained, as well as the resilience she had during that ten months. The book will be intimate and go into vivid detail about what happened during her detainment.

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.

Summarize the key points discussed about the evaluation of text summarization systems in the following text:

Evaluating the performance of text summarization systems is a critical aspect of their development and improvement. Traditional evaluation metrics like ROUGE, which measures overlap between the system-generated summary and reference summaries, have been widely used but face limitations in capturing semantic equivalence and overall quality. More advanced metrics like BERTScore and METEOR aim to address these shortcomings by incorporating contextual embeddings and considering synonyms and paraphrases.

However, automated metrics alone may not fully capture the nuances of summarization quality, leading to an increased emphasis on human evaluation. Manual assessments by expert annotators can provide more comprehensive insights into aspects like coherence, factual accuracy, and overall readability, but are time-consuming and expensive.

Recent efforts have explored hybrid approaches that combine automated metrics with human evaluation, leveraging the strengths of both methods. Furthermore, researchers are investigating task-based evaluation frameworks that assess summarization systems based on their performance in downstream applications or real-world scenarios.

Overall, the evaluation of text summarization systems remains an active area of research, with ongoing efforts to develop more robust and comprehensive evaluation methods that can accurately assess the quality and usefulness of generated summaries across various domains and use cases.
user
The key points discussed about the evaluation of text summarization systems are: 1) Traditional evaluation metrics like ROUGE measure overlap with reference summaries but face limitations in capturing semantic equivalence and overall quality. 2) More advanced metrics like BERTScore and METEOR incorporate contextual embeddings and consider synonyms/paraphrases to address these shortcomings. 3) Automated metrics alone may not fully capture nuances of summarization quality, leading to an increased emphasis on human evaluation by expert annotators. 4) Recent efforts explore hybrid approaches combining automated metrics with human evaluation, leveraging strengths of both methods. 5) Task-based evaluation frameworks assess systems based on performance in downstream applications or real-world scenarios. 6) Evaluation of text summarization systems remains an active area, with ongoing efforts to develop robust and comprehensive evaluation methods.
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