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 retail industry can be greatly affected by macroeconomic factors, including changes in national, regional and local economic conditions, as well as consumers’ perceptions of such economic factors. In general, sales represent discretionary spending by our customers. Discretionary spending is affected by many factors, including general business conditions, interest rates, inflation, consumer debt levels, the availability of consumer credit, currency exchange rates, taxation, gasoline prices, income, unemployment trends, home values and other matters that influence consumer confidence and spending. Many of these factors are outside of our control. We are experiencing, and may continue to experience, increased inflationary pressure on the cost of certain products. Our customers’ purchases of discretionary items, including our products, generally decline during periods when disposable income is lower, when prices increase in response to rising costs, or in periods of actual or perceived unfavorable economic conditions. Deterioration of the consumer spending environment could be harmful to our financial condition and results of operations, could adversely affect our ability to comply with covenants under our credit facility and, as a result, may negatively impact our ability to continue payment of our quarterly dividend, to repurchase our stock and to open additional stores in the manner that we have in the past. During fiscal 2022 and into fiscal 2023, competition for labor and broad-based inflation has caused us to pay higher wage rates and contributed to increased operating expenses.
Assistant: