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: Our sales have historically been largely concentrated in the traditional retail grocery, mass retail outlet, warehouse club and dollar store channels. However, the retail environment continues to evolve and may change to a more significant extent or at a faster pace during or following the COVID-19 pandemic, with a greater consumer emphasis on health and wellness. Alternative retail channels, including hard discounters, e-commerce retailers and subscription services, have become more prevalent, and retailers are increasingly selling consumer products through such channels. In addition, a growing number of alternative sales channels and business models, such as niche brands, native online brands, private label and store brands, direct-to-consumer brands and channels and discounter channels, have emerged in the markets we serve. In particular, the growing presence of, and increasing sales through, e-commerce retailers have affected, and may continue to affect, consumer preferences (as consumers increasingly shop online) and market dynamics, including any pricing pressures for consumer goods as retailers face added costs to build their e-commerce capacity. These trends have been magnified due to the COVID-19 pandemic in many of our geographies. Although we are engaged in e-commerce with respect to many of our products, if we are not successful in expanding sales in such alternative retail channels, our business, financial condition and results of operations may be negatively impacted. In addition, the growth of the alternative retail channels that are focused on limiting the number of items they sell and selling predominantly private label products may reduce our ability to market and sell our products through such retailers. If these alternative retail channels were to take significant market share away from traditional retailers and/or we are not successful in these alternative retail channels, our margins and results of operations may be negatively impacted.
Assistant: