turns-00040.parquet:30599
0f014a63b0dcdc43d07d60dddegenerate_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: President Trump, Canadian prime minister had brief trade chat at the G-7 summit. NAFTA countdown continues with formal renegotiations further out. Ag group warns disrupting NAFTA would have "devastating consequences."
President Donald Trump and Canadian Prime Minister Justin Trudeau met on the s
Assistant:ASSISTANT
{
'relevant_tasks': [
{
'task': 'Event Detection',
'examples': [
{
'input': 'The passage discusses a meeting between President Trump and Canadian Prime Minister Justin Trudeau at the G-7 summit.',
'label': 'entailment',
},
{
'input': 'The passage reports on a resolution reached regarding NAFTA at the G-7 summit.',
'label': 'non-entailment',
}
]
},
{
'task': 'Entity Recognition',
'examples': [
{
'input': 'The text identifies President Donald Trump and Canadian Prime Minister Justin Trudeau as entities.',
'label': 'entailment',
},
{
'input': 'The passage mentions Angela Merkel as part of the discussion on NAFTA.',
'label': 'non-entailment',
}
]
},
{
'task': 'Tense Identification',
'examples': [
{
'input': 'The paragraph is predominantly written in the past tense.',
'label': 'entailment',
},
{
'input': 'The passage primarily discusses events in the future tense.',
'label': 'non-entailment',
}
]
},
{
'task': 'Impact Classification',
'examples': [
{
'input': 'The paragraph suggests that disrupting NAFTA could have devastating consequences.',
'label': 'entailment',
},
{
'input': 'The passage indicates that changes to NAFTA would have no significant impact.',
'label': 'non-entailment',
}
]
},
{
'task': 'Geographical Recognition',
'examples': [
{
'input': 'The paragraph identifies Canada by referencing its Prime Minister.',
'label': 'entailment',
},
{
'input': 'The text makes a reference to countries in Asia involved in the NAFTA talks.',
'label': 'non-entailment',
}
]
},
{
'task': 'Tone Classification',
'examples': [
{
'input': 'The tone of the paragraph is serious regarding potential consequences of NAFTA disruptions.',
'label': 'entailment',
},
{
'input': 'The tone of the passage is light-hearted and humorous.',
'label': 'non-entailment',
}
]
}
]
}