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: In short, what does this paragraph say about cleansers? Here is the text:
A mild cleanser: When selecting a cleanser, choose one for your skin type. Dr. Katta says, “For example, if you have acne-prone skin, use a mild cleanser that removes oil.” Dry skin does better with a hydrating cleanser.

To get the best results from your cleanser, wash your face twice a day – when you get up and before bed. You also want to wash after sweating.
Response: It says to choose a cleanser based on your skin type and to wash your face before and after bed and after sweating.

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 passage about abstractive summarization techniques:

Abstractive summarization techniques aim to generate summaries that are not simply an extraction of sentences from the original text but rather a rewritten version that captures the key information in new, concise sentences. This approach requires a deeper understanding of the text's meaning and the ability to paraphrase and rewrite content. One popular technique is the use of sequence-to-sequence models with attention mechanisms, which can learn to generate summaries by mapping input sequences (the text) to output sequences (the summary). These models are trained on large datasets of text-summary pairs, allowing them to learn patterns and generate new summaries. Another approach is the use of graph-based techniques, where the text is represented as a graph with nodes representing concepts and edges representing relationships. The summary is then generated by traversing and compressing the graph while preserving the most important information.
user
The passage discusses techniques for abstractive summarization, which generate new sentences rather than extracting from the original text. Key points: 1) Requires deeper understanding and paraphrasing ability. 2) Sequence-to-sequence models with attention are popular, trained on text-summary pairs. 3) Graph-based techniques represent text as a graph of concepts and relationships, then compress while preserving important information.
assistant