Source text:

Summarization techniques can be broadly categorized into two main approaches: extractive and abstractive. Extractive summarization involves selecting and concatenating the most important sentences or phrases from the original text to form a summary. This method is relatively straightforward and works well for texts that are well-structured and use clear, concise language.

Abstractive summarization, on the other hand, involves generating entirely new sentences to capture the main ideas of the original text. This approach requires a deeper understanding of the content, as well as the ability to rephrase and synthesize information. Abstractive summaries are often more concise and coherent than extractive summaries, as they are not constrained by the original text's structure or wording.

In practice, many summarization techniques combine elements of both extractive and abstractive approaches. For example, a system might first identify and extract the most relevant sentences, and then use natural language processing techniques to rephrase and condense the extracted content into a more concise summary.

Summarization request:
Describe the differences between extractive and abstractive summarization techniques, and explain when each approach might be more suitable.
Source text:

Summarization techniques can be broadly categorized into two main approaches: extractive and abstractive. Extractive summarization involves selecting and concatenating the most important sentences or phrases from the original text to form a summary. This method is relatively straightforward and works well for texts that are well-structured and use clear, concise language.

Abstractive summarization, on the other hand, involves generating entirely new sentences to capture the main ideas of the original text. This approach requires a deeper understanding of the content, as well as the ability to rephrase and synthesize information. Abstractive summaries are often more concise and coherent than extractive summaries, as they are not constrained by the original text's structure or wording.

In practice, many summarization techniques combine elements of both extractive and abstractive approaches. For example, a system might first identify and extract the most relevant sentences, and then use natural language processing techniques to rephrase and condense the extracted content into a more concise summary.

Summarization request:
Describe the differences between extractive and abstractive summarization techniques, and explain when each approach might be more suitable.
user
Extractive summarization involves selecting and concatenating the most important sentences or phrases from the original text to form a summary. This approach works well for well-structured texts with clear language. Abstractive summarization, on the other hand, generates entirely new sentences to capture the main ideas, requiring a deeper understanding and the ability to rephrase and synthesize information. Abstractive summaries tend to be more concise and coherent but are not constrained by the original text's structure or wording. Extractive summarization is more suitable for straightforward texts, while abstractive summarization is better for complex or poorly structured texts that require rephrasing and condensing.
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: 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.
