turns-00040.parquet:32883
0b9a026bf0d37aad5ab62203degenerate_repetitionAbsentFinal dense release
USER
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 are subject to tax in the U.S. and various foreign jurisdictions. Our effective income tax rate fluctuates primarily because of: the change in the mix of our U.S. and foreign income; the impact of discrete transactions and law changes; and the difference between the amount of tax benefits generated by the foreign derived intangible income deduction (“FDII”) and research credits, offset by the additional tax costs associated with global intangible low-tax income (“GILTI”), the base erosion tax (“BEAT”) and non-deductible stock-based compensation charges.
Assistant:ASSISTANT
```json
{
"relevant_tasks": [
{
"task": "Risk Classification",
"examples": [
{
"input": "The paragraph entails a financial risk due to changes in tax law.",
"label": "entailment"
},
{
"input": "The paragraph suggests that there is no financial risk associated with tax changes.",
"label": "non-entailment"
}
]
},
{
"task": "Sector Identification",
"examples": [
{
"input": "The paragraph pertains to the finance and tax sector.",
"label": "entailment"
},
{
"input": "The paragraph pertains to the healthcare sector.",
"label": "non-entailment"
}
]
},
{
"task": "Tone Classification",
"examples": [
{
"input": "The paragraph has an analytical tone, discussing tax implications.",
"label": "entailment"
},
{
"input": "The paragraph has a highly emotional and subjective tone.",
"label": "non-entailment"
}
]
},
{
"task": "Tense Identification",
"examples": [
{
"input": "The paragraph mainly uses the present tense.",
"label": "entailment"
},
{
"input": "The paragraph predominantly uses past tense verbs.",
"label": "non-entailment"
}
]
},
{
"task": "Uncertainty Identification",
"examples": [
{
"input": "The paragraph indicates uncertainty due to fluctuating tax rates.",
"label": "entailment"
},
{
"input": "The paragraph suggests that tax rates are stable without any fluctuation.",
"label": "non-entailment"
}
]
}
]
}
```