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: Shorten the following text to less than 50 words: 

Plant oils have been used medicinally for over 2,500 years. The first references to the use of plant oils can be traced to Chinese medicine, also known as Traditional Chinese Medicine.

Various parts of plants were consumed in either the raw state or dried, boiled, or steamed (to extract the oil). The end product was then consumed, inserted into any one of the natural openings of the body, massaged into the skin, or inhaled in vapor form.

During the Medieval period, a collection of medicinal treatments for a variety of ailments was published by Abu Ali al-Husain Ebn Abdullah Ebn Sina (980–1037 AD). He was known in the West as Avicenna, a Persian physician who was also known as one of the most influential medical writers in the medieval period.

Avicenna`s Canon of Medicine, arguably one of the most famous books in the history of medicine, presents a clear and organized summary of all of the medical knowledge of the time, including a long list of drugs. Interestingly, lily and spotted orchid oils are mentioned as remedies for tinnitus (Mahdizadeh et al, 2015).

Throughout the 18th and 19th centuries, advances in western medicine progressed. The American Medical Association was founded in 1847 and the American Pharmaceutical Association was founded in 1852. At the federal level, the Food, Drug, and Insecticide Administration (FDIA) was created 1927 and, three years later, changed its name to the Food and Drug Administration (FDA).
Response: Plant oils have been used for a long time. Plants in general have been used in many forms and in many ways, with publications about this ranging from Traditional Chinese Medicine to the Medieval period. Since then, Western medicine has progressed, with organizations like the FDA being founded. 

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 key points about the evaluation of summarization systems discussed in the following text:

Evaluating the quality and effectiveness of summarization systems is a critical aspect of their development and deployment. Several evaluation metrics and methodologies have been proposed and employed to assess the performance of these systems.

One common approach is to use reference-based metrics, which compare the generated summary against one or more human-written reference summaries. These metrics, such as ROUGE (Recall-Oriented Understudy for Gisting Evaluation), measure the overlap between the system-generated summary and the reference summaries in terms of n-gram co-occurrence or other similarity measures.

Another approach is to employ task-based evaluation, where the quality of the summaries is assessed based on their ability to support specific tasks, such as information retrieval, question answering, or decision-making. This type of evaluation aims to measure the practical utility and effectiveness of the summaries in real-world scenarios.

Human evaluation is also commonly used, where human judges assess the summaries based on criteria such as coherence, informativeness, and overall quality. This approach is often considered the gold standard, as it directly incorporates human judgment and perception, but it can be time-consuming and subjective.

Automated evaluation metrics, such as those based on natural language processing techniques like semantic similarity or discourse coherence measures, have also been proposed to complement or substitute for human evaluation. These metrics aim to capture higher-level aspects of summary quality beyond simple surface-level comparisons.

Regardless of the evaluation approach, it is important to consider factors such as the summarization task, the domain and genre of the text, and the intended use case, as these can influence the appropriate evaluation criteria and methodologies.
user
The text discusses key points about evaluating the quality and effectiveness of summarization systems. Common evaluation approaches include reference-based metrics like ROUGE that measure overlap with human-written reference summaries, task-based evaluation assessing summary utility for specific tasks like information retrieval or decision-making, human evaluation by judges assessing criteria like coherence and informativeness, and automated metrics based on natural language processing techniques like semantic similarity or discourse coherence measures. Factors such as summarization task, text domain and genre, and intended use case should be considered when selecting appropriate evaluation criteria and methodologies.
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