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:
Evaluating the quality of text summaries is a crucial aspect of summarization systems. Several metrics have been developed to assess the performance and effectiveness of these systems. Some of the commonly used evaluation metrics for text summarization include:

1. ROUGE (Recall-Oriented Understudy for Gisting Evaluation): ROUGE is a widely adopted metric that measures the overlap between the generated summary and reference summaries based on n-gram co-occurrence statistics. Different variants of ROUGE, such as ROUGE-N (N-gram overlap), ROUGE-L (Longest Common Subsequence), and ROUGE-SU (Skip-gram and Unigram), provide different perspectives on summary quality.

2. BLEU (Bilingual Evaluation Understudy): Originally designed for machine translation evaluation, BLEU has also been adapted for text summarization. It compares the generated summary to one or more reference summaries by computing the n-gram overlap and applying a brevity penalty.

3. Pyramid: The Pyramid method evaluates summaries based on the identification of Summary Content Units (SCUs), which represent the essential facts or concepts in the source text. Reference summaries are used to create a pyramid of SCUs, and the generated summary is scored based on the number and importance of SCUs it covers.

4. Human Evaluation: While automatic metrics are useful for quick evaluation and system tuning, human evaluation is often considered the gold standard for assessing summary quality. Human evaluators rate summaries based on criteria such as informativeness, coherence, and linguistic quality, providing a more comprehensive assessment of the summarization system's performance.

Summarization request:
Describe the commonly used metrics for evaluating the quality of text summaries, highlighting their strengths and limitations.
user
Common metrics for evaluating text summaries include ROUGE (measuring n-gram overlap with reference summaries), BLEU (computing n-gram overlap with a brevity penalty), and Pyramid (scoring based on coverage of essential content units). ROUGE is widely adopted but focuses solely on content overlap. BLEU, originally for machine translation, provides a different perspective. Pyramid considers the importance of content units but requires manual annotation. Human evaluation, while time-consuming, is considered the gold standard for assessing informativeness, coherence, and linguistic quality. Each metric has strengths and limitations, and a combination of automatic and human evaluation is often recommended.
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