Summarize the main points from the following passage:

Automatic text summarization is a challenging task in natural language processing. It involves distilling lengthy documents into their essential components while preserving key information and overall meaning. There are two main approaches: extractive and abstractive summarization. Extractive methods identify and extract the most salient sentences from the original text to form the summary. Abstractive methods, on the other hand, aim to generate novel sentences that capture the main ideas in a more concise and coherent manner. Abstractive summarization is generally more difficult as it requires a deeper understanding of the text and the ability to paraphrase and generalize information.
Summarize the main points from the following passage:

Automatic text summarization is a challenging task in natural language processing. It involves distilling lengthy documents into their essential components while preserving key information and overall meaning. There are two main approaches: extractive and abstractive summarization. Extractive methods identify and extract the most salient sentences from the original text to form the summary. Abstractive methods, on the other hand, aim to generate novel sentences that capture the main ideas in a more concise and coherent manner. Abstractive summarization is generally more difficult as it requires a deeper understanding of the text and the ability to paraphrase and generalize information.
user
The main points are: 1) Automatic text summarization is a challenging natural language processing task that involves condensing lengthy documents while preserving key information and meaning. 2) There are two main approaches: extractive summarization, which extracts salient sentences from the original text, and abstractive summarization, which generates novel sentences to capture the main ideas more concisely. 3) Abstractive summarization is more difficult as it requires deeper text understanding and the ability to paraphrase and generalize information.
assistant
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 this in one sentence:
SOCIETY FOR HUMAN RIGHTS
1924
After being temporarily committed to a mental institution because of his sexual orientation, Henry Gerber, a German immigrant and World War I Army enlistee, establishes the Society for Human Rights, the first American homosexual rights organization.
Response: In 1924, Henry Gerber established the first American homosexual rights organization: the Society for Human Rights.

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.
