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 abstractive and extractive summarization techniques:

Text summarization can be broadly categorized into two main approaches: extractive and abstractive summarization. Extractive summarization involves identifying and extracting the most relevant sentences or phrases from the original text and combining them to form a summary. This method preserves the original wording and structure of the source text. On the other hand, abstractive summarization generates entirely new sentences that capture the essence of the source text, using advanced natural language generation techniques. Abstractive summaries are often more concise, coherent, and fluent compared to extractive summaries, as they can paraphrase and restructure the information in a more natural way. However, abstractive summarization is generally more challenging and computationally expensive due to the need for deep understanding of the text and advanced language modeling capabilities. Both extractive and abstractive techniques have their advantages and are often combined or used in different scenarios based on the specific requirements and constraints of the summarization task.
user
Text summarization can be broadly categorized into two main approaches: extractive and abstractive summarization. Extractive summarization involves identifying and extracting the most relevant sentences or phrases from the original text and combining them to form a summary, preserving the original wording and structure. Abstractive summarization, on the other hand, generates entirely new sentences that capture the essence of the source text using advanced natural language generation techniques. Abstractive summaries are often more concise, coherent, and fluent but are computationally more expensive due to the need for deep text understanding and advanced language modeling capabilities. Both approaches have their advantages and are often combined or used in different scenarios based on the specific requirements of the summarization task.
assistant