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 operate in more than 40 countries, and volatility in the value of the currencies used in these countries can increase the uncertainty in our revenue and profitability forecasts. While most of our contracts are priced in U.S. dollars, we recognize a substantial amount of revenue under contracts that are denominated in euros, British pounds, Australian dollars and Japanese yen, among other currencies. A significant increase in the value of the U.S. dollar relative to these currencies may have a material adverse impact on the value of those revenues when translated to U.S. dollars. Our services are delivered from several delivery centers located around the world, with significant operations in the Philippines and India, as well as throughout Europe and the Americas. Although our contracts with U.S.-based clients are typically priced in U.S. dollars, a substantial portion of our costs to deliver services under these contracts are denominated in the local currency of the country where services are performed. We also have certain client contracts that are priced in non-U.S. dollar currencies for which a substantial portion of the costs to deliver the services are in other currencies. As a result, our revenue may be earned in currencies that are different from the currencies in which we incur corresponding expenses. Fluctuations in the value of currencies, such as the Philippine peso, the Indian rupee, and the Canadian dollar, against the U.S. dollar or other currencies in which we bill our clients, and inflation in the local economies in which these delivery centers are located, could increase the operating and labor costs in these delivery centers, which can result in reduced profitability. A significant decrease in the value of the contractual currency, relative to the currencies where services are provided, could have a material adverse impact on our operating results that are not fully offset by gains realized under the hedging contracts we have in place in certain currencies to limit our potential foreign currency exposure.
Assistant: