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: If canned vegetable, frozen vegetable, or jarred fruit categories decline, less shelf space will be devoted to these categories in the supermarkets. Fresh and perishable businesses are improving their delivery systems around the world and the availability of fresh produce is impacting the consumers purchasing patterns relating to packaged fruit and vegetables. Our financial performance and growth are related to conditions in the United States’ fruit and vegetable packaging industry which is a mature industry. Our net sales are a function of product availability and market pricing. In the fruit and vegetable packaging industry, product availability and market prices tend to have an inverse relationship: market prices tend to decrease as more product is available and to increase if less product is available. Product availability is a direct result of plantings, growing conditions, crop yields and inventory levels, all of which vary from year to year. These factors may have a significant effect on supply and competition and create downward pressure on prices. In addition, market prices can be affected by the planting and inventory levels and individual pricing decisions of our competitors. Generally, market prices in the fruit and vegetable packaging industry adjust more quickly to variations in product availability than an individual packager can adjust its cost structure; thus, in an oversupply situation, a packager’s margins likely will weaken. We typically have experienced lower margins during times of industry oversupply.
Assistant: