Please summarize the main techniques for effective text summarization discussed in this text: Automatic summarization is the process of shortening a set of data computationally to create a subset (a summary) that represents the most important or relevant information within the original content. Text summarization methods are commonly categorized as extractive or abstractive. Extractive methods work by selecting a subset of existing words, phrases, or sentences in the original text to form the summary. In contrast, abstractive methods aim to produce summaries that capture the main ideas of the original text using novel words and phrases that may not appear in the text itself. Recent advances in deep learning have enabled the development of more sophisticated abstractive summarization models.
Please summarize the main techniques for effective text summarization discussed in this text: Automatic summarization is the process of shortening a set of data computationally to create a subset (a summary) that represents the most important or relevant information within the original content. Text summarization methods are commonly categorized as extractive or abstractive. Extractive methods work by selecting a subset of existing words, phrases, or sentences in the original text to form the summary. In contrast, abstractive methods aim to produce summaries that capture the main ideas of the original text using novel words and phrases that may not appear in the text itself. Recent advances in deep learning have enabled the development of more sophisticated abstractive summarization models.
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The main techniques for effective text summarization discussed are extractive methods, where existing text is selected to form the summary, and abstractive methods, where new text is generated to capture the main ideas of the original text. Recent deep learning models have enabled more advanced abstractive summarization.
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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 summarize the goals for scientists in this text:

Within three days, the intertwined cup nest of grasses was complete, featuring a canopy of overhanging grasses to conceal it. And decades later, it served as Rinkert’s portal to the past inside the California Academy of Sciences. Information gleaned from such nests, woven long ago from species in plant communities called transitional habitat, could help restore the shoreline in the future. Transitional habitat has nearly disappeared from the San Francisco Bay, and scientists need a clearer picture of its original species composition—which was never properly documented. With that insight, conservation research groups like the San Francisco Bay Bird Observatory can help guide best practices when restoring the native habitat that has long served as critical refuge for imperiled birds and animals as adjacent marshes flood more with rising sea levels. “We can’t ask restoration ecologists to plant nonnative species or to just take their best guess and throw things out there,” says Rinkert.
Response: Scientists are studying nests hoping to learn about transitional habitats that could help restore the shoreline of San Francisco Bay.

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.
