System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: The Company’s business is affected significantly by changes in customer purchasing patterns or trends in, as well as the underlying strength of, the trade, educational and media markets for children. In particular, the Company’s educational publishing business may be adversely affected by budgetary restraints and other changes in educational funding as a result of new policies which could be implemented at the federal level or otherwise resulting from new legislation or regulatory action at the federal, state or local level, or by changes in the procurement process, to which the Company may be unable to adapt successfully. In addition, there are many competing demands for educational funds, and there can be no guarantee that the Company will be successful in continuing to obtain sales of its educational programs and materials from any available funding. Further, changes in educational practices affecting structure or content of educational materials or requiring adaption to new learning approaches, particularly in grades pre-K through 6, as well as those which may arise from new legislation or policies at the state or local level directed at content or teaching practices and materials, to which the Company is unable to successfully adapt could result in a loss of business adversely affecting the Company's business and financial performance. In addition, in a highly politicized environment, the content of some of the products being sold by the Company could become controversial, negatively impacting sales made to schools, through partnerships with government agencies or through sponsorships and funding programs. Within the children's book publishing business, the Company's financial performance could be adversely affected by the adaptability of its U.S. book clubs channel. The Company has taken a new holistic approach to serving its customers as part of the newly formed school reading events division and the Company's ability to execute on new customer-centric strategies and operational improvements may not align with customer purchasing behaviors which could negatively impact operating results.
Assistant: