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: Summarize the use of color in decorating. Here is the link:
Color
Choosing a color palette is an essential part of interior design. While you could have a different style and color scheme in each room, often you will want to tie the whole dwelling together. Consider the right colors for a small room as well as colors and patterns for a large room.
Response: In interior design, not only do you want to choose the right colors for individual rooms, you want to use colors that tie the whole dwelling together.

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 role of text summarization in different applications and industries. Here is the long text: Text summarization has numerous applications across various industries and domains. In the field of information retrieval and search engines, summaries can provide users with concise overviews of relevant documents, improving search efficiency and user experience. In news and media, summarization algorithms can automatically generate article summaries, enabling quicker dissemination of information. In the legal and business sectors, document summarization can help professionals quickly grasp the key points of lengthy contracts, reports, or proceedings. In academic research, summarization tools can assist in reviewing and synthesizing large volumes of literature. Additionally, summarization plays a role in language education, helping students understand and summarize complex texts more effectively. As the amount of digital information continues to grow, text summarization will become increasingly important in organizing and making sense of vast amounts of data.
user
Text summarization has numerous applications across various industries and domains. It is used in information retrieval and search engines to provide concise document overviews, in news and media for generating article summaries, in legal and business sectors for understanding lengthy contracts and reports, in academic research for synthesizing literature, and in language education for helping students summarize complex texts. As digital information grows, summarization will become increasingly important for organizing and making sense of vast amounts of data.
assistant