Summarize the following text about the challenges and applications of text summarization:

Text summarization is a challenging task due to the complexity of natural language and the need to understand the context and meaning of the text. Challenges include dealing with ambiguity, anaphora resolution, and generating coherent and fluent summaries. Additionally, summarizing texts from specific domains or genres, such as legal documents or scientific literature, can pose additional challenges due to the technical language and domain-specific terminology. Despite these challenges, text summarization has numerous applications in various fields. In the news and media industry, it can be used to generate summaries of articles and reports, enabling faster information consumption. In academia and research, summarization tools can help researchers quickly identify key insights from large volumes of literature. In business and finance, summarization can aid in analyzing and condensing lengthy reports, contracts, and documents. Text summarization also has applications in information retrieval, question answering, and conversational AI systems.
Summarize the following text about the challenges and applications of text summarization:

Text summarization is a challenging task due to the complexity of natural language and the need to understand the context and meaning of the text. Challenges include dealing with ambiguity, anaphora resolution, and generating coherent and fluent summaries. Additionally, summarizing texts from specific domains or genres, such as legal documents or scientific literature, can pose additional challenges due to the technical language and domain-specific terminology. Despite these challenges, text summarization has numerous applications in various fields. In the news and media industry, it can be used to generate summaries of articles and reports, enabling faster information consumption. In academia and research, summarization tools can help researchers quickly identify key insights from large volumes of literature. In business and finance, summarization can aid in analyzing and condensing lengthy reports, contracts, and documents. Text summarization also has applications in information retrieval, question answering, and conversational AI systems.
user
The text discusses the challenges and applications of text summarization. Challenges include the complexity of natural language, understanding context and meaning, dealing with ambiguity and anaphora resolution, and generating coherent and fluent summaries. Summarizing domain-specific texts like legal documents or scientific literature poses additional challenges due to technical language and terminology. Despite these challenges, text summarization has numerous applications, such as generating summaries of news articles and reports in the media industry, aiding researchers in literature analysis, summarizing lengthy business reports and contracts, and applications in information retrieval, question answering, and conversational AI systems.
assistant
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: Explain to me what the main subject of this article is:

"California officials are investigating the disappearance of 30 tons (61,000 pounds) of ammonium nitrate from a railcar crossing the Midwest. Ammonium nitrate, which is used as fertilizer, can also be used to create explosives and was a key component in the homemade bomb used in the 1995 attack on the Murrah Federal Building in Oklahoma City. The chemical was shipped by train from Cheyenne, Wyoming last month but when it arrived in the Mojave Desert two weeks later, its holding car was empty and the nitrate was gone. Dyno Nobel, the company responsible for shipping the ammonium nitrate is a leader in commercial explosives and filed a report with the federal National Response Center (NRC) on May 10 and an investigation is currently underway.

The Federal Railroad Administration, the California Public Utilities Commission, Union Pacific, and Dyno Nobel are looking into the disappearance, and the railcar is being transported back to Wyoming to undergo a thorough inspection. It is unclear how or when the chemical disappeared during transit, but Dyno Nobel told KQED News, “The railcar was sealed when it left the Cheyenne facility, and the seals were still intact when it arrived in Saltdale. The initial assessment is that a leak through the bottom gate on the railcar may have developed in transit.”
Response: This article covers an ongoing investigation into the disappearance of 30 tons of ammonium nitrate that was being transported from Wyoming to the Mojave Desert by railcar. While mainly used as a fertilizer this substance can also be used as an explosive which raises security concerns.  Several agencies, including the California Public Utilities Commission, are investigating.

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.
