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: Please read this text: 

People consume information in lots of different ways: visually, audibly, through text, and sometimes all three at once. Search engine algorithms like Google’s are advancing to reflect this experience for users. No longer will the algorithms just look at web pages as a single piece of text content. Google will look at all the ways real people consume information: text, images, videos, infographics, tables, charts, and interactive elements that make up a piece of content.

In recent years, we saw the rise of visual search – particularly in image-heavy industries like travel and tourism or ecommerce. Moving into 2023, Google will expand its foothold in multisearch and multisearch near me. 

What does it say about multi-format content in a brief summary?
Response: The text says that people prefer content in different forms like audio, video, or text format. As a result, Google plans to advance the multi-search function and page search algorithms accordingly. 

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 importance and applications of text summarization techniques based on the following text:

In today's information-rich era, where vast amounts of textual data are generated daily, the ability to efficiently extract and summarize the most crucial information has become increasingly important. Text summarization techniques play a vital role in helping individuals and organizations navigate and make sense of this deluge of information.

Automatic text summarization has numerous applications across various domains. In the news and media industry, summarization tools can quickly generate concise summaries of news articles, enabling readers to quickly grasp the key points without having to read through lengthy articles. Similarly, in the scientific and academic domains, summarization techniques can help researchers and students quickly understand the core findings and contributions of research papers and literature reviews.

In the business and legal sectors, document summarization can assist professionals in quickly extracting the most relevant information from lengthy contracts, reports, and legal documents, saving time and improving productivity. Additionally, text summarization can be applied to customer reviews and feedback, enabling businesses to quickly identify common themes, complaints, or praise, and take appropriate actions.

Overall, text summarization techniques have the potential to revolutionize the way we consume and process information, enabling us to quickly extract the most essential insights and knowledge from vast amounts of textual data.
user
The given text highlights the importance and various applications of text summarization techniques in today's information-rich era. With vast amounts of textual data being generated daily, summarization techniques play a crucial role in helping individuals and organizations efficiently extract and understand the most crucial information. Key applications mentioned include news summarization, summarizing scientific literature and research papers, document summarization for businesses and legal sectors, and summarizing customer reviews and feedback. Overall, text summarization techniques have the potential to revolutionize how we consume and process information by enabling us to quickly grasp the essential insights and knowledge from large volumes of textual data.
assistant