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 how Asian American and Pacific Islander Heritage Month was started based on the text below: 

History
A former congressional staffer in the 1970s, Jeanie Jew, first approached Representative Frank Horton with the idea of designating a month to recognize Asian Pacific Americans, following the bicentennial celebrations.[19] In June 1977, Representatives Horton, and Norman Y. Mineta, introduced a United States House of Representatives resolution to proclaim the first ten days of May as Asian-Pacific Heritage Week.[20][21] A similar bill was introduced in the Senate a month later by Daniel Inouye and Spark Matsunaga.[20][22]

The proposed resolutions sought that May be designated for two reasons. For on May 7, 1843, the first Japanese immigrant arrived in the United States.[23][24][25] More than two decades later, on May 10, 1869, the golden spike was driven into the first transcontinental railroad, which was completed using Chinese labor.[23][24][26]

President Jimmy Carter signed a joint resolution for the celebration on October 5, 1978.[20]

On May 1, 2009, President Barack Obama signed Proclamation 8369, recognizing the month of May as Asian American and Pacific Islander Heritage Month.[1][27]
Response: A former congressional staffer with the idea approached a representative about it in the 1970s. In 1977, a resolution was introduced in the House and the Senate, and the President signed it in 1978. However, that resolution was only for the first ten days of May. It wasn't until 2009 that the whole month of May was named Asian American and Pacific Islander Heritage Month.

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 text below about the role of abstractive and extractive techniques in automatic summarization:

Automatic summarization techniques can be broadly categorized into two main approaches: extractive and abstractive.

Extractive summarization methods involve selecting and concatenating the most salient sentences or phrases from the original text to form the summary. These techniques rely on identifying and extracting the key information-bearing units from the source material. Extractive methods are generally simpler and more interpretable, as they directly reuse the original text, but they can produce summaries that lack coherence or fail to capture nuanced information.

On the other hand, abstractive summarization techniques aim to generate summaries that condense and paraphrase the most important information from the source text, often restructuring and rephrasing the content in a more concise and coherent manner. Abstractive methods leverage natural language generation capabilities, such as sequence-to-sequence models and transformer architectures, to produce new, fluent text that captures the essence of the original content. While abstractive summaries can be more coherent and concise, generating them accurately is a more complex task that requires capturing the underlying meaning and reasoning about the content.

Both extractive and abstractive approaches have their advantages and drawbacks. Extractive methods are often more suitable for scenarios where preserving the original wording is important, such as legal or technical documents, while abstractive techniques may be preferred for generating more natural-sounding and condensed summaries, particularly for general-purpose applications.

In practice, many modern summarization systems combine elements of both approaches, leveraging extractive methods for content selection and abstractive techniques for rephrasing and generation, or using hybrid architectures that combine the strengths of both paradigms.
user
Automatic summarization techniques can be categorized into extractive and abstractive approaches. Extractive methods select and concatenate salient sentences or phrases from the original text, while abstractive techniques generate new text that condenses and paraphrases the important information. Extractive summaries directly reuse the source content but may lack coherence, while abstractive summaries can be more concise and coherent but are more complex to generate accurately. Both approaches have advantages and are often combined in modern systems, leveraging extractive methods for content selection and abstractive techniques for rephrasing and generation.
assistant