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: We generated approximately 31% of our consolidated net revenues outside the United States. As our international business grows, our results of operations could be adversely impacted by changes in foreign currency exchange rates. Revenues and certain expenses in markets outside of the United States are recognized in local foreign currencies, and we are exposed to potential gains or losses from the translation of those amounts into U.S. dollars for consolidation into our financial statements. Similarly, we are exposed to gains and losses resulting from currency exchange rate fluctuations on transactions generated by our foreign subsidiaries in currencies other than their local currencies. In addition, the business of our independent manufacturers may also be disrupted by currency exchange rate fluctuations by making their purchases of raw materials more expensive and more difficult to finance. As a result, foreign currency exchange rate fluctuations may adversely impact our results of operations. In addition, we have previously designated cash flow hedges against certain forecasted transactions. If we determine that such a transaction is no longer probable to occur in the time period we expected, we are required to de-designated the hedging relationship and immediately recognize the derivative instrument gain or loss in our earnings. The ongoing impacts of COVID-19 have caused and may continue to cause uncertainty in forecasted cash flows, which has resulted and may continue to result in the de-designation of certain hedged transactions.
Assistant: