Summarize the following discussion on the challenges and limitations of summarization techniques:

While summarization techniques offer numerous benefits, they also face several challenges and limitations:

1. Context and subjectivity: Summarization involves understanding and interpreting context, which can be subjective and dependent on the reader's background knowledge and perspective.
2. Ambiguity and nuance: Capturing the nuances, implications, and subtle meanings present in the original text can be challenging for automated summarization systems.
3. Domain-specific knowledge: Certain domains, such as technical or highly specialized fields, may require domain-specific knowledge and expertise to accurately summarize content.
4. Coherence and fluency: Generating coherent and fluent summaries that read naturally can be difficult, especially for abstractive summarization techniques.
5. Factual accuracy: Ensuring factual accuracy and avoiding the introduction of errors or distortions in the summary is crucial, particularly in sensitive domains like legal or medical texts.
6. Evaluation and benchmarking: Developing objective and standardized methods for evaluating the quality and effectiveness of summaries remains a challenge.
7. Computational complexity: Some summarization techniques, especially those involving deep learning or natural language generation, can be computationally intensive and resource-demanding.
Summarize the following discussion on the challenges and limitations of summarization techniques:

While summarization techniques offer numerous benefits, they also face several challenges and limitations:

1. Context and subjectivity: Summarization involves understanding and interpreting context, which can be subjective and dependent on the reader's background knowledge and perspective.
2. Ambiguity and nuance: Capturing the nuances, implications, and subtle meanings present in the original text can be challenging for automated summarization systems.
3. Domain-specific knowledge: Certain domains, such as technical or highly specialized fields, may require domain-specific knowledge and expertise to accurately summarize content.
4. Coherence and fluency: Generating coherent and fluent summaries that read naturally can be difficult, especially for abstractive summarization techniques.
5. Factual accuracy: Ensuring factual accuracy and avoiding the introduction of errors or distortions in the summary is crucial, particularly in sensitive domains like legal or medical texts.
6. Evaluation and benchmarking: Developing objective and standardized methods for evaluating the quality and effectiveness of summaries remains a challenge.
7. Computational complexity: Some summarization techniques, especially those involving deep learning or natural language generation, can be computationally intensive and resource-demanding.
user
Challenges and limitations of summarization techniques include: dealing with context and subjectivity; capturing ambiguity and nuance; requiring domain-specific knowledge; generating coherent and fluent summaries; ensuring factual accuracy; developing objective evaluation methods; and computational complexity, especially for advanced techniques like deep learning or natural language generation.
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: Condense the following piece of history into one or two sentences for me:

Before 1895, the area corresponding to modern-day South Gyeongsang Province was part of Gyeongsang Province, one of the Eight Provinces of Korea during the Joseon dynastic kingdom. In 1895, southern Gyeongsang was replaced by the districts of Jinju in the west and Dongnae (modern-day Busan) in the east. In 1896, they were merged to form South Gyeongsang Province.

The provincial capital was originally at Jinju; it moved in 1925 to Busan.During the Japanese rule of Korea, the province was known as Keishōnan-dō. In 1948, South Gyeongsang Province became part of South Korea. In 1963, Busan separated from South Gyeongsang Province to become a Directly Governed City (Jikhalsi). In 1983, the provincial capital moved from Busan to Changwon.
Response: Modern-day South Gyeongsang Province used to be part of Gyeongsang Province until 1895, with its current provincial capital being Changwon after changing twice. 

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.
