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: Briefly summarize what this scientific news article says about the phenomenon of gravitational lensing caused by massive cosmic objects like galaxy clusters.

Here's the source text:
The 1915 theory, which is occasionally called Einstein's geometric theory of gravity, predicts that, as bowling balls placed on a trampoline create a depression, objects with mass cause the very fabric of space-time to warp. This curvature gives rise to the force of gravity. And the greater the mass of a cosmic object, the more extreme the warping of space it causes.

Light travels across the universe in straight lines, but when it encounters a warp caused by a truly massive object, its path is curved. When the warping object is between Earth and a background object, it can curve light in such a way that the apparent position of the background object is shifted.

But when the intermediate or "lensing object" is truly massive — like a monstrous cluster of galaxies, for example — light from the background source takes a different amount of time to reach Earth depending on how close it passes to the natural cosmic lens. 

This effect, called gravitational lensing, can make single objects appear at multiple points in the sky, often in stunning arrangements called Einstein rings and Einstein crosses. It can also cause background objects to appear amplified in the sky, a powerful effect that astronomers use to observe distant and early faint galaxies.

The distortion caused by massive clusters like eMACS J1823.1+7822 can also help astronomers study mysterious dark matter, which accounts for around 85% of the mass in the universe but is invisible because it does not interact with electromagnetic radiation. Because dark matter does interact gravitationally, however, the lensing of light by a galaxy or galactic cluster can help researchers map the distribution of dark matter.
Response: This scientific news article discusses gravitational lensing, which is caused by massive cosmic objects and is in line with Einstein's theory of gravity. Objects with high mass can cause the bending of light paths due to the warping of space-time. Gravitational lensing occurs when a large object bends the path of light, causing a shift in the apparent position of a background object. Gravitational lensing creates stunning visual effects such as Einstein rings and crosses. Gravitational lensing helps astronomers see distant and faint galaxies by making them appear larger in the sky. Massive galaxy clusters like eMACS J1823.1+7822 help scientists map the distribution of dark matter, which makes up a significant portion of the universe's mass.

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.

Summarize the following text that discusses the applications of text summarization across various domains:

Text summarization techniques have found widespread applications across numerous domains, revolutionizing the way we process and consume information. In the field of news and media, automatic summarization tools are used to generate concise summaries of news articles, enabling readers to quickly grasp the essence of current events and stay informed. These summaries are often presented as news digests or headlines, catering to the fast-paced nature of news consumption.

In academia and scientific research, text summarization plays a crucial role in literature review and knowledge discovery. Researchers can leverage summarization tools to quickly synthesize vast amounts of scientific literature, identify key findings, and stay up-to-date with the latest developments in their fields. This enhances the efficiency of literature searches and facilitates the dissemination of scientific knowledge.

The legal profession has also embraced text summarization to streamline the analysis of extensive legal documents, such as contracts, court proceedings, and legislation. Summarization techniques can help legal professionals quickly identify the most relevant sections and key points, saving time and resources in document review processes.

Customer service and feedback analysis are other domains where text summarization finds applications. By automatically summarizing large volumes of customer reviews, feedback, and support queries, businesses can gain valuable insights into customer sentiments, identify recurring issues, and make data-driven decisions to improve their products and services.

In the field of intelligence and national security, text summarization can aid in processing and analyzing vast amounts of textual data, such as intercepted communications, reports, and intelligence documents. Automated summaries can help analysts quickly identify critical information, patterns, and potential threats, enhancing situational awareness and decision-making processes.

These are just a few examples of the wide-ranging applications of text summarization techniques, which continue to evolve and expand as the demand for efficient information processing and knowledge extraction increases.
user
The text discusses the diverse applications of text summarization techniques across various domains. In news and media, summarization tools generate concise summaries of articles, enabling quick comprehension of current events. In academia and research, summarization aids literature review and knowledge discovery by synthesizing vast scientific literature. Legal professionals use summarization to streamline analysis of extensive legal documents. Businesses leverage summarization for customer feedback analysis, identifying recurring issues and sentiments. In intelligence and national security, summarization processes large volumes of data like communications and reports to identify critical information and potential threats. These examples illustrate the widespread adoption of text summarization for efficient information processing and knowledge extraction across numerous fields.
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