Summarize the following text: Automatic text summarization is a challenging task in the field of natural language processing (NLP). It involves leveraging computational techniques to analyze and condense textual content into a shortened version that captures the most salient information. The goal is to generate a summary that accurately reflects the main ideas, key points, and crucial details of the original text while eliminating redundant or superfluous information. This process requires a deep understanding of language, context, and semantics, as well as the ability to identify and prioritize the most relevant content elements. Various approaches, including extractive and abstractive summarization, have been explored to tackle this complex problem, with ongoing research aimed at improving the quality, coherence, and informativeness of generated summaries.
Summarize the following text: Automatic text summarization is a challenging task in the field of natural language processing (NLP). It involves leveraging computational techniques to analyze and condense textual content into a shortened version that captures the most salient information. The goal is to generate a summary that accurately reflects the main ideas, key points, and crucial details of the original text while eliminating redundant or superfluous information. This process requires a deep understanding of language, context, and semantics, as well as the ability to identify and prioritize the most relevant content elements. Various approaches, including extractive and abstractive summarization, have been explored to tackle this complex problem, with ongoing research aimed at improving the quality, coherence, and informativeness of generated summaries.
user
Automatic text summarization is a challenging NLP task that involves using computational techniques to generate a shortened version of textual content that accurately captures the main ideas, key points, and crucial details, while eliminating redundant information. It requires a deep understanding of language, context, and semantics, and involves various approaches like extractive and abstractive summarization to improve the quality and coherence of generated summaries.
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: What is a brief summary of the following post?
Two species of palo santo trees are distributed in the Galápagos archipelago, the native Bursera graveolens, and the endemic Bursera malacophylla (Burseraceae). Native Bursera graveolens is the same variety you can find in mainland Ecuador and other countries like Peru. It is called native because it is not an introduced plant, but it came to the islands naturally, thousands of years ago. Bursera malacophylla, on the other hand, grows exclusively in the Galapagos Islands. Palo santo trees (Bursera Jacq. ex L.; Burseraceae) are among the most common and easily recognizable indicator species of the dry and transition zone flora in the Galápagos archipelago. Most of the year, the tree is leafless, but in the rainy season, it quickly produces thin blue-green leaves with toothed edges. The olive shapes fruit turn bright red when ripe, and burst open to reveal black seeds inside. Palo Santo trees (Bursera graveolens) lose their leaves during the dry season to help stop water loss.
Response: There are two types of palo santo tree in the Galápagos called the Bursera graveolens and Bursera malacophylla.

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.
