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: I want this shortened into a sentence or two:

When Mr. Lorry had finished his breakfast, he went out for a stroll on the beach. The little narrow, crooked town of Dover hid itself away from the beach, and ran its head into the chalk cliffs, like a marine ostrich. The beach was a desert of heaps of sea and stones tumbling wildly about, and the sea did what it liked, and what it liked was destruction. It thundered at the town, and thundered at the cliffs, and brought the coast down, madly. The air among the houses was of so strong a piscatory flavour that one might have supposed sick fish went up to be dipped in it, as sick people went down to be dipped in the sea. A little fishing was done in the port, and a quantity of strolling about by night, and looking seaward: particularly at those times when the tide made, and was near flood. Small tradesmen, who did no business whatever, sometimes unaccountably realised large fortunes, and it was remarkable that nobody in the neighbourhood could endure a lamplighter.

As the day declined into the afternoon, and the air, which had been at intervals clear enough to allow the French coast to be seen, became again charged with mist and vapour, Mr. Lorry’s thoughts seemed to cloud too. When it was dark, and he sat before the coffee-room fire, awaiting his dinner as he had awaited his breakfast, his mind was busily digging, digging, digging, in the live red coals.
Response: After his breakfast, Mr. Lorry went for a walk on the beach. He seemed troubled later on when he was waiting for his dinner.

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.

Summarize the following passage on the evaluation of text summarization systems: Evaluating the performance and effectiveness of text summarization systems is a crucial aspect of their development and deployment. Several metrics and evaluation strategies have been proposed to assess the quality of generated summaries. One common approach is the use of intrinsic evaluation methods, which compare the generated summaries to reference summaries created by human experts. These methods typically employ measures such as ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which calculates the overlap between the machine-generated and reference summaries based on n-gram statistics. While intrinsic evaluation provides a quantitative measure of performance, it has limitations, as it assumes the existence of high-quality reference summaries and does not directly assess the utility or readability of the generated summaries. To address these limitations, extrinsic evaluation methods, which assess the impact of the summaries on downstream tasks or applications, are also employed. These may include measures such as reading comprehension scores or task completion rates. Additionally, manual evaluation by human judges is often used to assess factors such as coherence, fluency, and overall quality. While subjective, manual evaluation can provide valuable insights into the strengths and weaknesses of summarization systems.
user
Evaluating text summarization systems involves various metrics and strategies. Intrinsic evaluation compares generated summaries to human-created reference summaries using measures like ROUGE, providing quantitative performance assessments. Extrinsic evaluation assesses the impact of summaries on downstream tasks or applications. Manual evaluation by human judges is also employed to assess factors like coherence, fluency, and overall quality, offering valuable insights despite subjectivity. These diverse evaluation approaches aim to comprehensively assess the effectiveness and utility of summarization systems.
assistant