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: Given the information found in the following article, can you tell me the logic behind allowing the children to assist in designing their school's architecture?:


Classrooms are arranged around an indoor rainforest. Porthole windows that look like googly eyes peering out from lumpy, butter-colored walls. Zigzagging roofs and soaring archways. 
If this mind-bending vision sounds like something that might have been dreamt up by school pupils, that’s because it was – and now those dreams have become reality in the eccentric, off-kilter shape of Madrid’s Reggio school (main picture).

Designed by Spanish architect Andrés Jaque, the Reggio’s radical construction not only brings nature indoors but also encourages plant and animal life to colonize its ‘living’ exterior walls.
Clad in an insulating mixture of mashed cork, it offers an ideal habitat, not unlike the surface of a tree, for fungi, insects and microbial life. 

Classrooms look out onto gardens – some inaccessible to humans – created by ecologists to attract birds, butterflies, bats and bees. Inside, a courtyard hosts the miniature temperate rainforest which rises two stories to the glass canopy above. Labs and workshops are arranged around its edges.

The school’s design is a living embodiment of the radical Reggio-Emilia method, an educational philosophy developed in postwar Italy. It sees children not as empty vessels to be filled with education, but as active participants in defining their curriculum.
Experience – touching, listening and first-hand discovery – lie at the heart of the learning process. Connection with the outdoors is key and the physical environment is imagined as the ‘third teacher’, with spaces configured to encourage open-ended exploration.


Response: Because they share the same educational values as the radical Italian education reformer Reggio Emilia, the administration and teachers of this school invited the students to participate in the design of the facility. According to this approach, experiential learning is the foundation of education, and the best way to learn is to incorporate experiences like touching, hearing, and hands-on learning into any effective curriculum.

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 main points of the following passage on the history of summarization techniques:

The practice of summarizing texts dates back millennia, but the field of automatic summarization emerged only in the late 20th century as an applied topic in computer science and natural language processing. Early systems relied heavily on simple statistical techniques like frequency analysis to identify key phrases and sentences within a document. The introduction of machine learning methods in the 1990s enabled more sophisticated extractive summarization that could infer contextual importance of text segments. Around the same time, Text Summarization Conferences were launched to evaluate different summarization approaches on shared datasets across multiple languages. Recently, neural network models using encoder-decoder architectures and attention mechanisms have achieved state-of-the-art results on abstractive summarization tasks, generating coherent multi-sentence summaries using advanced language generation capabilities.
user
The key points on summarization techniques mentioned in the passage are: 1) Summarizing texts is an ancient practice, but automatic summarization emerged recently as a computer science field. 2) Early systems used basic statistical methods like frequency analysis. 3) Machine learning enabled more advanced extractive summarization in the 1990s. 4) Evaluation initiatives like Text Summarization Conferences aided progress across languages. 5) Current state-of-the-art uses neural encoder-decoder models with attention for abstractive summarization and language generation.
assistant