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: Summarize the main points in the text below - 

You'll always want to have access to sufficient emergency funds for, well, emergencies. Make sure you can afford a health emergency (some insurance plans require you to pay first and claim for reimbursement later), a one-way ticket home in the event that something urgent happens, a missed flight, or a theft or unexpected mishap. And, more practically, you may find that you've under-budgeted and you need to increase your budget a bit while you're on the road, so having access to some emergency cash might prevent you from having to cut your trip short or miss out on things you wanted to see.

In short, you need to be able to afford to get yourself out of bad situations if you really have to. Remember that as a solo traveler you will generally not have another person readily available to help with bad situations, so it's up to you to be able to manage them.

It's a good idea to have a variety of different sources of emergency funds, including cash in hard currencies like US dollars or Euros, a credit card (and backup) with a decent limit, and a trusted friend or relative back home who can send you money in an emergency.
Response: - Have money set aside for emergencies like health issues or an emergency trip home
- Budget enough to get yourself out of unexpected situations if needed
- Remember, if you’re by yourself you will be the one managing any problems
- Carry a few different ways to pay for things if needed like cash and credit cards, and  have someone to borrow from back home if needed

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 key points discussed in the following paragraph about text summarization:

Automatic text summarization is the process of creating a concise and coherent summary of a source text that captures its most important or relevant information. It is a challenging task that requires understanding the semantics and structure of the input text, identifying the salient information, and repackaging it into a condensed form while preserving the key content and overall meaning. There are two main approaches to summarization: extractive and abstractive. Extractive summarization involves selecting and concatenating the most important sentences or text segments from the source material to form the summary, while abstractive summarization generates novel sentences that capture the essential points of the source text. Extractive methods are generally simpler and more straightforward to implement, but can produce summaries that lack coherence or fluency. Abstractive summarization, on the other hand, allows for more flexible and readable summaries, but requires more sophisticated natural language generation capabilities. Summarization systems are typically evaluated using metrics such as ROUGE, which measure the overlap between the system-generated summary and human-written reference summaries, or through task-based evaluation, such as assessing the performance of the summaries in downstream applications like question answering or information retrieval.
user
- Text summarization creates a concise summary capturing the most important/relevant information from a source text
- It involves understanding semantics, identifying salient information, and repackaging it coherently while preserving key content
- There are two main approaches: extractive (selecting and concatenating important sentences/text) and abstractive (generating novel sentences)
- Extractive is simpler but may lack coherence/fluency, while abstractive allows more flexibility but requires advanced natural language generation
- Evaluation uses metrics like ROUGE (overlap with human references) or task-based assessments (e.g. question answering performance)
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