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: Write a tl;dr for these two paragraphs, please. 

Here are the paragraphs:
Strawberries are red, heart-shaped fruits. They are eaten fresh, often with cream. They are also used as a filling for pastries, pies, and cakes. Strawberries are rich in vitamin C, and they also contain iron and other minerals.

Strawberry plants grow in mild regions all over the world. The United States and Canada are leading producers of strawberries. Many countries have developed their own strawberry varieties to suit their climate.
Response: Strawberries are red, heart-shaped fruits eaten fresh or as filling ingredients. They contain plenty of iron and other minerals. Strawberries grow in different varieties in mild regions around the world, with the US and Canada serving as leading producers.

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 following text about the basics of text summarization. The text discusses what text summarization is, the different types of summaries, and some key approaches used in automatic summarization.

Text summarization is the process of creating a concise and precise summary of a longer piece of text. The goal is to capture the most important information while omitting redundant and unnecessary details. Summaries are useful for quickly conveying the main points of lengthy documents, making them easier to digest and understand.

There are two main types of summaries: extractive and abstractive. Extractive summaries are created by selecting and concatenating the most important sentences from the original text. Abstractive summaries, on the other hand, paraphrase and rewrite the key concepts in a more concise manner.

Automatic text summarization relies on various techniques, including statistical methods, machine learning algorithms, and natural language processing. Common approaches involve identifying and ranking the most important sentences or phrases based on features like word frequency, position in the text, and topic signatures. Recent advances in deep learning have also enabled more sophisticated abstractive summarization models that can generate human-like summaries.
user
Text summarization creates a concise and precise summary of a longer text. There are two main types: extractive (selecting important sentences) and abstractive (paraphrasing key concepts). Automatic summarization uses techniques like statistical methods, machine learning, and natural language processing to identify and rank important sentences or phrases. Recent deep learning models enable more advanced abstractive summarization.
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