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: There is an increasing concern over the risks of climate change and related environmental sustainability matters. For example, the Federal Reserve Board in its Financial Stability Report of November 2020, specifically addressed the implications of climate change for markets, financial exposures, financial institutions, and financial stability. As a result of these concerns, Congress, state legislatures and federal and state regulatory agencies have continued to propose legislative and regulatory initiatives seeking to mitigate the effects of climate change, including disclosure requirements regarding greenhouse gas emissions. Further, the SEC has proposed climate-related disclosure rules, which if finalized, would require new climate-related disclosures in SEC filings and audited financial statements, including certain climate-related metrics and direct and indirect greenhouse gas emissions data, information about climate-related targets and goals, transition plans, if any, and would have attestation requirements. The State of California has enacted, and other states may enact, laws and regulations requiring expanded measurement and disclosure of greenhouse gas emissions, including scopes 1, 2, and 3 emissions, and requiring third-party assurance of their reports. Disclosure requirements imposed by different regulators may not always be uniform, which may result in increased complexity, increased compliance costs, and other compliance-related risks. On October 24, 2023, the federal banking agencies issued interagency guidance on principles for climate-related financial risk management by large financial institutions. The guidance reiterates the agencies’ view that financial institutions are likely to be affected by both the physical risks and transition risks associated with climate change.
Assistant: