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 short summary of the passage.

This is the passage:
The most famous description of Valhalla in Old Norse literature, that of Grímnismál, portrays it as being located in Asgard, the gods’ celestial fortress.

However, other lines of evidence suggest that it was at least sometimes seen as being located underground, like the more general underworld.
Response: Grímnismál is the most famous portrayal of Valhalla, locating it in Asgard, but other theories say it was underground.

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.

Write a summary of the following text about the challenges of text summarization:

Despite the advancements in text summarization techniques, several challenges remain. One key challenge is maintaining coherence and fluency in the generated summary, especially for abstractive summarization models. Ensuring that the summary flows naturally and avoids abrupt transitions or grammatical errors is crucial. Another challenge is preserving the original meaning and context of the source text while condensing it into a concise form. Summarization models must accurately capture the most salient information without introducing factual errors or omitting critical details. Additionally, handling long and complex source texts with multiple topics, as well as dealing with domain-specific terminology and jargon, can pose difficulties for summarization systems.
user
Despite advancements, text summarization faces several challenges. Maintaining coherence and fluency in generated summaries, especially for abstractive models, is crucial. Preserving the original meaning and context while condensing the text is another challenge. Summarization models must accurately capture salient information without factual errors or omitted details. Handling long, complex texts with multiple topics and domain-specific terminology can also pose difficulties.
assistant