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: Can you give me a summary of why it is harmful to use weight loss drugs?

Here is the article:

Weight loss drugs have soared in popularity in the past year, helping some lose dramatic amounts of weight — but not all that weight is fat. 

Some of that is actually lean mass, which is everything in the body that isn’t fat, including your bones, organs and, importantly, muscle. 

“When we look at weight reduction from any intervention, about one-third of the weight we lose tends to be lean mass, and that can be problematic,” said Dr. Jaime Almandoz, an associate professor of internal medicine in the Division of Endocrinology at UT Southwestern Medical Center in Dallas. That lean mass loss is generally from muscle. “Lean mass is healthier and associated with better metabolism, so when we lose lean mass, we may lose some of that function.”

The more muscle mass a person has, the better the resting metabolic rate, or the number of calories a person burns at rest. When a person loses muscle mass, the resting metabolic rate decreases, too.
Response: Utilizing weight-loss drugs can be harmful. They help an individual lose weight quickly, but some of that weight comes from healthy lean body mass. Lean body mass is important because it helps bolster metabolism, which is how many calories the body burns at rest.

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 about the applications of automatic text summarization technologies:

As the volume of digital information continues to grow exponentially, automatic text summarization technologies have emerged as invaluable tools for efficiently processing and condensing large amounts of textual data. These technologies leverage natural language processing (NLP) and machine learning algorithms to analyze and summarize lengthy documents, reports, or web content automatically. Automatic summarization systems can extract the most salient information from vast datasets, generating concise summaries that capture the essence of the source material. These technologies have numerous applications across various domains, including news and media, where they can quickly provide summaries of breaking stories or lengthy articles. In the legal and financial sectors, automatic summarization can assist in analyzing and distilling complex contracts, legal documents, or financial reports. Research institutions and academic libraries can also benefit from these technologies, enabling efficient literature reviews and knowledge discovery. Furthermore, automatic summarization can enhance information accessibility for individuals with disabilities or those who require condensed versions of content due to time constraints or cognitive limitations.
user
Automatic text summarization technologies leverage natural language processing and machine learning algorithms to analyze and summarize lengthy documents, reports, or web content automatically. These technologies extract salient information and generate concise summaries, with applications across news and media, legal and financial sectors, research institutions, and accessibility domains. They enable efficient processing of large textual datasets, knowledge discovery, and enhanced information accessibility.
assistant