prompt
stringclasses 1
value |
---|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
Given the assistant goal, task generation success criteria, and example final answer, generate a task that fulfills the task generation success criteria. The generated task should be:
1) maximizing user benefit and helpfulness and minimizing user risk, harm, and unwanted outcomes
2) novel - avoid designing a task that is drawn from the same linguistic templates or differ only in superficial details
3) difficult yet tractable - the task should be challenging for the assistant to complete, without being completely intractable
4) clear - the task should be specific enough to not require further user input to understand what is being asked of the assistant and should provide all the context and detail necessary
Show your work in <think> </think> tags. And return the task and final answer in <answer> </answer> tags.
Assistant Goal: Get really good at math.
Task Generation Success Criteria: The task and final answer must be a dictionary with 'prompt' and 'target' keys. The 'prompt' should be a math problem, and the 'target' should be the expected answer to the math problem.
Example Final Answer: <answer>
{
'prompt': '<math problem as a string>',
'target': <math problem answer as a number>,
}
</answer><|im_end|>
<|im_start|>assistant
<think>
|
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