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: Source text:
At its simplest, forex trading is similar to the currency exchange you may do while traveling abroad: A trader buys one currency and sells another, and the exchange rate constantly fluctuates based on supply and demand.

Currencies are traded in the foreign exchange market, a global marketplace that’s open 24 hours a day Monday through Friday. All forex trading is conducted over the counter (OTC), meaning there’s no physical exchange (as there is for stocks) and a global network of banks and other financial institutions oversee the market (instead of a central exchange, like the New York Stock Exchange).

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A vast majority of trade activity in the forex market occurs between institutional traders, such as people who work for banks, fund managers and multinational corporations. These traders don’t necessarily intend to take physical possession of the currencies themselves; they may simply be speculating about or hedging against future exchange rate fluctuations.

A forex trader might buy U.S. dollars (and sell euros), for example, if she believes the dollar will strengthen in value and therefore be able to buy more euros in the future. Meanwhile, an American company with European operations could use the forex market as a hedge in the event the euro weakens, meaning the value of their income earned there falls.

Summarization request:
Briefly summarize how forex trading works and who the major players are.
Response: Forex trading involves exchanging one currency for another. The value of currencies fluctuates constantly based on supply and demand as well as economic factors. Most forex trading is done between large institutions like banks, fund managers, and multinational companies. These major players speculate on the strength of currencies or hedge against changes. They don’t usually take physical possession of the currencies.

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.

Source text:
Text summarization is the process of creating a shorter version of a text by extracting and combining the most important information from the original text. It involves analyzing the text to identify the key points, main ideas, and essential details, while removing redundant or irrelevant information. The goal of summarization is to produce a concise and coherent summary that captures the essence of the original text, making it easier for readers to quickly grasp the main points without having to read the entire text.

Summarization can be performed manually by humans or automatically using computational techniques. Manual summarization relies on human expertise, where an individual reads the text, identifies the key points, and rephrases them in a condensed form. Automated summarization, on the other hand, utilizes natural language processing and machine learning algorithms to analyze the text and generate summaries based on statistical models and pre-defined rules.

There are two main approaches to automated summarization: extractive summarization and abstractive summarization. Extractive summarization selects and combines the most important sentences or phrases from the original text to create the summary. Abstractive summarization, on the other hand, generates entirely new sentences that capture the main ideas of the text, using natural language generation techniques.

Summarization has numerous applications in various fields, including information retrieval, news reporting, academic research, legal documentation, and business intelligence. It enables efficient information processing, knowledge management, and decision-making by providing concise overviews of lengthy texts.

Summarization request:
Briefly explain the process of text summarization, its main approaches, and its practical applications.
user
Text summarization is the process of creating a concise version of a text by identifying and combining the most important information from the original text. It involves analyzing the text to extract key points, main ideas, and essential details. There are two main approaches: extractive summarization, which selects and combines important sentences or phrases from the original text, and abstractive summarization, which generates entirely new sentences to capture the main ideas. Summarization has practical applications in fields like information retrieval, news reporting, academic research, legal documentation, and business intelligence, enabling efficient information processing and knowledge management.
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