Summarize the following text about the challenges and considerations in text summarization:

Despite significant advancements in text summarization techniques, several challenges and considerations remain:

1. Domain-specific knowledge: Effective text summarization often requires domain-specific knowledge to accurately identify and convey the most important information. Techniques that work well for news articles may struggle with scientific papers or legal documents.

2. Coherence and cohesion: Extractive summaries may lack coherence and cohesion due to the disjointed nature of the extracted sentences. Ensuring smooth transitions and maintaining the logical flow of information is crucial for producing high-quality summaries.

3. Factual consistency: Abstractive summarization models can inadvertently introduce factual errors or contradictions, especially when dealing with complex or nuanced topics. Maintaining factual consistency is essential for preserving the integrity of the summarized information.

4. Length constraints: Determining the appropriate length for a summary is context-dependent and can impact the level of detail and information retained. Overly long summaries may defeat the purpose, while excessively short summaries may omit crucial details.

5. Evaluation metrics: Evaluating the quality of summaries is a challenging task, as it involves subjective assessments of relevance, coherence, and informativeness. Developing reliable and consistent evaluation metrics remains an active area of research.
Summarize the following text about the challenges and considerations in text summarization:

Despite significant advancements in text summarization techniques, several challenges and considerations remain:

1. Domain-specific knowledge: Effective text summarization often requires domain-specific knowledge to accurately identify and convey the most important information. Techniques that work well for news articles may struggle with scientific papers or legal documents.

2. Coherence and cohesion: Extractive summaries may lack coherence and cohesion due to the disjointed nature of the extracted sentences. Ensuring smooth transitions and maintaining the logical flow of information is crucial for producing high-quality summaries.

3. Factual consistency: Abstractive summarization models can inadvertently introduce factual errors or contradictions, especially when dealing with complex or nuanced topics. Maintaining factual consistency is essential for preserving the integrity of the summarized information.

4. Length constraints: Determining the appropriate length for a summary is context-dependent and can impact the level of detail and information retained. Overly long summaries may defeat the purpose, while excessively short summaries may omit crucial details.

5. Evaluation metrics: Evaluating the quality of summaries is a challenging task, as it involves subjective assessments of relevance, coherence, and informativeness. Developing reliable and consistent evaluation metrics remains an active area of research.
user
Despite advancements, text summarization faces challenges such as requiring domain-specific knowledge, maintaining coherence and cohesion in extractive summaries, ensuring factual consistency in abstractive summaries, determining appropriate summary length, and developing reliable evaluation metrics. These considerations highlight the complexity of accurately condensing text while preserving essential information and overall meaning.
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: In short, what are Iron Man's powers? Draw your answer from the text below:

Without his suit of armor, Tony Stark has no supernatural powers. He is only limited by his imagination. Tony is a brilliant engineer and has used his talents to create a powerful suit of armor that enables the wearer to fly, shoot beams of energy from his hands and chest, and resist the vacuum of space. The suit also protects the wearer from damage and grants superhuman strength.

The suit is constantly being redesigned to face the new challenges that Tony Stark meets on a daily basis. There are specialty suits that have been made such as the Arctic, Stealth, Space, Hulkbuster, and Thorbuster armors. There have been nearly 40 different variations of the Iron Man armor in the current reality of the Iron Man comics.
Response: In short, Iron Man has no real superpowers outside his suit. Instead, he uses his engineering skillset to create armor that grants extreme strength, flight and energy beams. His suit also protects him from damage and he regularly upgrades it to meet his needs.

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.
