Summarize the main goals and challenges addressed in this text on abstractive summarization: Abstractive summarization aims to generate concise and fluent summaries that capture the key information and meaning of the source text. Unlike extractive methods that simply copy and concatenate important sentences, abstractive approaches paraphrase and rewrite content using natural language generation techniques. This allows for greater flexibility and compression, but also introduces significant challenges. Abstractive models must learn to accurately represent the semantics of the input, determine the most salient information, and generate coherent and grammatically correct output text. Ensuring factual consistency and avoiding hallucinations or contradictions is another critical issue. Despite recent advances with neural encoder-decoder architectures and large language models, abstractive summarization remains an open research problem, especially for longer and more complex documents.
Summarize the main goals and challenges addressed in this text on abstractive summarization: Abstractive summarization aims to generate concise and fluent summaries that capture the key information and meaning of the source text. Unlike extractive methods that simply copy and concatenate important sentences, abstractive approaches paraphrase and rewrite content using natural language generation techniques. This allows for greater flexibility and compression, but also introduces significant challenges. Abstractive models must learn to accurately represent the semantics of the input, determine the most salient information, and generate coherent and grammatically correct output text. Ensuring factual consistency and avoiding hallucinations or contradictions is another critical issue. Despite recent advances with neural encoder-decoder architectures and large language models, abstractive summarization remains an open research problem, especially for longer and more complex documents.
user
The given text discusses the goals and challenges of abstractive text summarization. The main goals are: 1) Generating concise and fluent summaries that capture key information and meaning, 2) Paraphrasing and rewriting content instead of extracting sentences. Key challenges include: 1) Accurately representing input semantics, 2) Identifying salient information, 3) Generating coherent and grammatical output, 4) Ensuring factual consistency and avoiding hallucinations or contradictions. Despite recent advances with neural models, abstractive summarization for longer and complex documents remains an open research problem.
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: What are the key points of this news article?


The former chief security officer for Uber was sentenced to probation Thursday for trying to cover up a 2016 data breach in which hackers accessed tens of millions of customer records from the ride-hailing service.

Joseph Sullivan was sentenced to a three-year term of probation and ordered to pay a fine of $50,000, the U.S. attorney’s office announced.

Sullivan, 54, of Palo Alto was convicted by a federal jury in San Francisco last October of obstructing justice and concealing knowledge that a federal felony had been committed.
Response: Joseph Sullivan was sentenced to a three-year term of probation for covering up a data breach at Uber. The data breach in which hackers accessed millions of customers’ records. Joseph also has to pay a fine of $50,000 he was convicted last October in San Francisco. 

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.
