Summarize the following paragraph about the history and process of summarizing texts:

Summarization involves condensing a larger text into a concise overview capturing the main points and key details. This practice has existed for centuries, with early examples found in ancient texts summarizing speeches and philosophical works. As literacy and publishing expanded, summarizing became increasingly important for efficiently conveying information across scholarly fields. In modern times, the rise of massive digital text corpora has driven the need for automated summarization systems capable of processing and distilling vast amounts of data into digestible summaries. Today's state-of-the-art approaches use natural language processing and machine learning techniques like extractive and abstractive summarization to generate high-quality summaries of documents ranging from news articles to scientific literature.
Summarize the following paragraph about the history and process of summarizing texts:

Summarization involves condensing a larger text into a concise overview capturing the main points and key details. This practice has existed for centuries, with early examples found in ancient texts summarizing speeches and philosophical works. As literacy and publishing expanded, summarizing became increasingly important for efficiently conveying information across scholarly fields. In modern times, the rise of massive digital text corpora has driven the need for automated summarization systems capable of processing and distilling vast amounts of data into digestible summaries. Today's state-of-the-art approaches use natural language processing and machine learning techniques like extractive and abstractive summarization to generate high-quality summaries of documents ranging from news articles to scientific literature.
user
Summarization is the process of condensing a large text into a concise overview of its main points and key details. This practice has existed for centuries and became increasingly important with expanding literacy and publishing. With the rise of massive digital text corpora, automated summarization using natural language processing and machine learning techniques like extractive and abstractive summarization emerged to efficiently process and summarize vast amounts of data.
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: Can you summarize this in one or two sentences:

The V. C. Morris Gift Shop is located at 140 Maiden Lane in downtown San Francisco, California, United States, and was designed by Frank Lloyd Wright in 1948. The store was used by Wright as a physical prototype or proof of concept for the circular ramp at the Solomon R. Guggenheim Museum.[1]

All of the built-in furniture is constructed out of black walnut, is original to the renovation, and was designed by Manuel Sandoval, who apprenticed and worked with Frank Lloyd Wright.[2][3]

Response: Frank Lloyd Wright's V.C. Morris Gift Shop in downtown San Francisco was designed in 1948 and was a prototype for the circular ramp at the Guggenheim Museum. The black walnut built-in furniture was designed by Manuel Sandoval.

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.
