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 does the following article say about the Federal Reserve?

The Federal Reserve reinforced its fight against high inflation Wednesday by raising its key interest rate by a quarter-point to the highest level in 16 years. But the Fed also signaled that it may now pause the streak of 10 rate hikes that have made borrowing for consumers and businesses steadily more expensive.

In a statement after its latest policy meeting, the Fed removed a sentence from its previous statement that had said “some additional” rate hikes might be needed. It replaced it with language that said it will consider a range of factors in “determining the extent” to which future hikes might be needed.

Speaking at a news conference, Chair Jerome Powell said the Fed has yet to decide whether to suspend its rate hikes. But he pointed to the change in the statement’s language as confirming at least that possibility.

Response: Interest rates were raised by the Federal Reserve to combat inflation. In the future, they will consider a range of factors before raising rates again. Jerome Powell the Chair of the Federal Reserve hinted at suspending rate hikes. 

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.

Provide a summary of the following passage: Text summarization is the process of creating a concise and coherent summary of a longer text document. It involves identifying the most important information and key points, while eliminating redundant or irrelevant details. There are two main types of text summarization: extractive and abstractive. Extractive summarization involves selecting and concatenating the most relevant sentences or phrases from the original text to form the summary. Abstractive summarization, on the other hand, generates entirely new sentences that capture the essence of the original text, often using advanced natural language processing techniques and deep learning models. Abstractive summarization is more challenging but can produce more natural and coherent summaries. Evaluation of text summarization systems typically involves comparing the generated summaries to human-written reference summaries using metrics such as ROUGE, which measures the overlap of words and n-grams between the two.
user
Text summarization creates a concise summary by identifying key information and points from a longer text, while eliminating redundancy. Two main types are extractive, selecting relevant sentences/phrases, and abstractive, generating new sentences using NLP and deep learning to capture the essence. Abstractive summarization is more challenging but can yield more natural summaries. Evaluation compares generated summaries to human references using metrics like ROUGE, measuring word/n-gram overlap.
assistant