Summarize the following text: Automatic summarization is a branch of natural language processing that focuses on developing algorithms and computational models to generate concise summaries from lengthy documents or text sources. This field combines techniques from machine learning, information retrieval, and computational linguistics to analyze the content, identify salient information, and produce a condensed version that captures the most relevant and informative aspects. Automatic summarization systems can be extractive, where they select and concatenate the most important sentences or phrases from the original text, or abstractive, where they generate entirely new sentences by interpreting and rephrasing the content. These systems have numerous applications, including news aggregation, document clustering, and information retrieval, and can significantly improve efficiency and accessibility of large text corpora.
Summarize the following text: Automatic summarization is a branch of natural language processing that focuses on developing algorithms and computational models to generate concise summaries from lengthy documents or text sources. This field combines techniques from machine learning, information retrieval, and computational linguistics to analyze the content, identify salient information, and produce a condensed version that captures the most relevant and informative aspects. Automatic summarization systems can be extractive, where they select and concatenate the most important sentences or phrases from the original text, or abstractive, where they generate entirely new sentences by interpreting and rephrasing the content. These systems have numerous applications, including news aggregation, document clustering, and information retrieval, and can significantly improve efficiency and accessibility of large text corpora.
user
Automatic summarization is a field in natural language processing that develops algorithms and models to generate concise summaries from lengthy texts. It combines techniques from machine learning, information retrieval, and computational linguistics to analyze content, identify key information, and produce condensed versions capturing the most relevant aspects. These systems can be extractive (selecting important sentences) or abstractive (generating new sentences), with applications in news aggregation, document clustering, and information retrieval.
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.
