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.

Explain the key steps involved in creating an extractive summary of a text document. Discuss the various approaches and factors that are typically considered in this process.
user
Creating an extractive summary of a text document involves several key steps:

1. Preprocessing: Clean and preprocess the text by removing irrelevant content, such as headers, footers, and boilerplate text. This step may also involve tokenization, stemming, or lemmatization.

2. Sentence segmentation: Divide the text into individual sentences, which will be the units for selection in the summary.

3. Sentence scoring: Assign a score or importance value to each sentence based on various features or heuristics. Common factors considered include word frequency, position in the text (e.g., sentences from the introduction or conclusion may be more important), presence of keyword phrases, and sentence length.

4. Sentence ranking: Rank the sentences based on their scores, with higher-scoring sentences considered more important for inclusion in the summary.

5. Summary generation: Select the top-ranked sentences up to a desired summary length or compression ratio. Additional processing, such as removing redundant sentences or reordering sentences for better coherence, may be performed.

Different approaches can be used for sentence scoring and ranking, ranging from simple statistical methods (e.g., TF-IDF) to more advanced machine learning techniques (e.g., neural networks, graph-based models). Other factors, like topic signatures, discourse structure, and entity salience, may also be incorporated to improve the quality of the extractive summary.
assistant