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).

Featured Partner Offer

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 evaluation is the process of assessing the quality of summaries produced by automatic summarization systems. Several measures have been proposed to quantify important aspects of summary quality. These include:

Relevance: How well does the summary capture the key points of the source text? Rouge (Recall-Oriented Understudy for Gisting Evaluation) is a widely used metric based on overlapping n-grams between the system and reference summaries.

Readability: Is the summary fluent, coherent, and easy to read? This can involve measures like grammar checking, coherence models, and reading ease scores.

Coverage: Does the summary address all important topics and aspects of the source? Methods like topic-representation scoring evaluate this.

Non-redundancy: Good summaries avoid repeating the same information. This can be measured with metrics like redundancy penalties.

Pyramid evaluation compares summaries against a reference summary produced by multiple human annotators and rewards content captured across most summaries.

Recent work uses trainable metrics like BERTScore to better correlate with human judgments. However, manual human evaluation remains the gold standard.

Summarization request:
Briefly explain how the quality of automatic text summaries is evaluated, covering the key measures and aspects considered.
user
The quality of automatic text summaries is evaluated based on several key measures: relevance (how well key points are captured, often using ROUGE), readability (fluency and coherence), coverage (inclusion of important topics), and non-redundancy (avoiding repetition). Other approaches include pyramid evaluation based on multiple human summaries, and recent trainable metrics like BERTScore. However, manual human evaluation remains the gold standard for assessing summary quality.
assistant