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: Please write a summary, in simple language, of who Daisy Eagan is using the following:

Throughout her multi-decade career, Tony award-winner Daisy Eagan has dazzled audiences from the stage to television and film, and with her writing. Next stop – time to take over the podcast world.
 
At age eleven, Eagan became the youngest actress to win a Tony Award for Best Performance by A Featured Actress for playing Mary Lennox in “The Secret Garden.” In 2016, Eagan returned to “The Secret Garden” to play Martha for the 25th anniversary concert production at Lincoln Center and at the Shakespeare Theatre in Washington, DC. Eagan also appeared on Broadway in “Les Miserables” and “James Joyce's The Dead,” and most recently on stage she starred in the First National Tour of Stephen Karam’s Tony-winning play, “The Humans.”
 
On television, Eagan can be seen on Freeform’s critically-acclaimed series “Good Trouble.” Additional television credits include HULU’s “The Path,” HBO’s “Girls,” CBS’ “The Mentalist,” “Without a Trace,” “Ghost Whisperer,” “The Unit” and “Numb3rs.”
 
A published award-winning writer with a loyal and growing audience, Eagan is a fierce fighter and activist for women's and LGBTQ rights. She is a rousing voice in political arenas and continues to fight for change throughout her literary career. She has written op-eds for publications including HuffPost and Playbill.com and had a column for USA Today Network’s The Journal News.
Response: Daisy Eagan is an award-winning stage and television actress, writer, and activist, and now can add podcaster to her list of roles. At only 11 years old, she won a Tony Award, she was the youngest actress to win such a prestigious award. She has appeared in several TV series, including The Path, Girls, and The Mentalist. Eagan is also an award-winning writer, activist, and a rousing voice in politics. 

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 following text about the challenges and evaluation of text summarization systems:

Text summarization is a complex task that presents several challenges, both from a technical and an evaluation perspective. One of the main challenges is dealing with the inherent ambiguity and nuances in natural language, which can lead to different interpretations of the same text. Additionally, capturing the semantic meaning and context of the source text while generating a concise and coherent summary is a significant challenge. Evaluating the performance of summarization systems is another crucial aspect that requires careful consideration. Commonly used evaluation metrics include ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which measures the overlap between the generated summary and human-written reference summaries. However, these metrics have limitations and may not fully capture the quality and readability of the summaries. Human evaluation, although more subjective and time-consuming, is often considered the gold standard for assessing the overall quality and usefulness of summaries. Ongoing research efforts aim to develop more robust and reliable evaluation methods, as well as to address the challenges of generating high-quality summaries that accurately capture the essence of the source text.
user
Text summarization presents several challenges, including dealing with the ambiguity and nuances of natural language, capturing the semantic meaning and context while generating concise and coherent summaries. Evaluating the performance of summarization systems is another crucial aspect, with ROUGE being a commonly used metric that measures the overlap between generated and reference summaries. However, these metrics have limitations, and human evaluation is often considered the gold standard for assessing summary quality and usefulness. Ongoing research efforts aim to develop more robust evaluation methods and address the challenges of generating high-quality summaries that accurately capture the essence of the source text.
assistant