Summarize the main points from the following text about evaluating text summarization systems: Evaluation is a critical aspect of text summarization as it allows researchers and developers to assess the quality and effectiveness of their summarization systems. There are two main approaches to evaluating summaries: intrinsic and extrinsic evaluation. Intrinsic evaluation measures the summary itself against human-written reference summaries using metrics like ROUGE, which calculates n-gram overlap between the system and reference summaries. Extrinsic evaluation assesses how well the summary supports a downstream task, such as question answering or information retrieval. Other evaluation methods include manual assessment by human annotators and task-based evaluations that simulate real-world use cases.
Summarize the main points from the following text about evaluating text summarization systems: Evaluation is a critical aspect of text summarization as it allows researchers and developers to assess the quality and effectiveness of their summarization systems. There are two main approaches to evaluating summaries: intrinsic and extrinsic evaluation. Intrinsic evaluation measures the summary itself against human-written reference summaries using metrics like ROUGE, which calculates n-gram overlap between the system and reference summaries. Extrinsic evaluation assesses how well the summary supports a downstream task, such as question answering or information retrieval. Other evaluation methods include manual assessment by human annotators and task-based evaluations that simulate real-world use cases.
user
The text discusses approaches to evaluating text summarization systems, highlighting intrinsic and extrinsic evaluation as the two main methods. Intrinsic evaluation measures the quality of the generated summary itself against human-written reference summaries, often using metrics like ROUGE which calculates n-gram overlap. Extrinsic evaluation assesses how well the summary supports downstream tasks like question answering or information retrieval. Other evaluation techniques include manual assessment by human annotators and task-based evaluations that simulate real-world use cases.
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: Could you summarize what this article says are ways to use essential oils? The article says:
AROMA DIFFUSER
This method is beneficial for mood enhancement and upliftment.  It disinfects the air and can boost immunity through inhalation.  Fill the bowl with water, add 5-15 drops and enjoy
STEAM INHALATION
This method is used mainly for upper respiratory problems such as bronchial and sinus congestion, colds, coughs, and influenza.  Fill a large bowl with boiling water and add three drops of essential oil.  Lean over the bowl with your eyes closed and a towel over your head and inhale the steam for 5-10 minutes.
VAPORIZER
An effective decongesting method for respiratory conditions.  Add from 3 to 9 drops of essential oil to the water of the vaporizer.  Run overnight.
Response: Three ways to use essential oils include in an aroma diffuser, via steam inhalation, and in a vaporizer. 

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.
