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 earn revenues, pay expenses, own assets and incur liabilities in countries using currencies other than the U.S. dollar, including the euro, the Japanese yen, the Brazilian real and the Mexican peso. In 2020, we used 70 functional currencies in addition to the U.S. dollar and derived $21.7 billion of net operating revenues from operations outside the United States. Because our consolidated financial statements are presented in U.S. dollars, we must translate revenues, income and expenses, as well as assets and liabilities, into U.S. dollars at exchange rates in effect during or at the end of each reporting period. Therefore, increases or decreases in the value of the U.S. dollar against other currencies affect our net operating revenues, operating income and the value of balance sheet items denominated in foreign currencies. For information regarding the estimated impact of currency fluctuations on our consolidated and operating segment net operating revenues for 2020 and 2019, refer to the heading "Operations Review — Net Operating Revenues" set forth in Part II, "Item 7. Management's Discussion and Analysis of Financial Condition and Results of Operations" of this report. Because of the geographic diversity of our operations, weakness in some currencies may be offset by strength in others over time. We also use derivative financial instruments to further reduce our net exposure to foreign currency exchange rate fluctuations. However, fluctuations in foreign currency exchange rates, particularly the strengthening of the U.S. dollar against major currencies or the currencies of large developing countries, could materially affect our financial results.
Assistant: