data_source
stringclasses 1
value | prompt
listlengths 2
2
| ability
stringclasses 2
values | reward_model
dict | extra_info
dict | metadata
null |
|---|---|---|---|---|---|
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Which film has the director who is older than the other, The Atticus Institute or Television Stories? ",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Television Stories",
"style": "rule"
}
|
{
"index": 8900,
"need_tools_kwargs": true,
"question": "Which film has the director who is older than the other, The Atticus Institute or Television Stories? ",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "7 people average age is 30 . youngest person age is 7 . find average of the people when youngest was born .",
"role": "user"
}
] |
math
|
{
"ground_truth": "33.83",
"style": "rule"
}
|
{
"index": 8901,
"need_tools_kwargs": true,
"question": "7 people average age is 30 . youngest person age is 7 . find average of the people when youngest was born .",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "who won america's next top model for 2018",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Kyla Coleman",
"style": "rule"
}
|
{
"index": 8902,
"need_tools_kwargs": true,
"question": "who won america's next top model for 2018",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "How much did the comedy-drama directed by same person heading the Amazing Spider-Man and released by Fox Searchlight Pictures gross worldwide?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "$39.6 million",
"style": "rule"
}
|
{
"index": 8903,
"need_tools_kwargs": true,
"question": "How much did the comedy-drama directed by same person heading the Amazing Spider-Man and released by Fox Searchlight Pictures gross worldwide?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Real numbers \\( x \\) and \\( y \\) satisfy the following system of equations:\n\n\\[\n\\begin{cases}\nx + \\sin y = 2008, \\\\\nx + 2008 \\cos y = 2007,\n\\end{cases}\n\\]\n\nwhere \\( 0 \\leq y \\leq \\frac{\\pi}{2} \\). Find \\( x + y \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "2007 + \\frac{\\pi}{2}",
"style": "rule"
}
|
{
"index": 8904,
"need_tools_kwargs": true,
"question": "Real numbers \\( x \\) and \\( y \\) satisfy the following system of equations:\n\n\\[\n\\begin{cases}\nx + \\sin y = 2008, \\\\\nx + 2008 \\cos y = 2007,\n\\end{cases}\n\\]\n\nwhere \\( 0 \\leq y \\leq \\frac{\\pi}{2} \\). Find \\( x + y \\).",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Where did the director of film Skinner Steps Out die?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Hollywood",
"style": "rule"
}
|
{
"index": 8905,
"need_tools_kwargs": true,
"question": "Where did the director of film Skinner Steps Out die?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "At what gymnasium did Tesana Panvisvas win the men's doubles silver with Pramote Teerawiwatana?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Gangseo Gymnasium",
"style": "rule"
}
|
{
"index": 8906,
"need_tools_kwargs": true,
"question": "At what gymnasium did Tesana Panvisvas win the men's doubles silver with Pramote Teerawiwatana?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Circles $C_1$ and $C_2$ are externally tangent and both internally tangent to a larger circle $C_3$. The centers of the three circles are collinear. The radii of $C_1$ and $C_2$ are 6 and 14 respectively. Determine the total distance from the center of $C_1$ to the center of $C_3$ along the line connecting their centers.",
"role": "user"
}
] |
math
|
{
"ground_truth": "26",
"style": "rule"
}
|
{
"index": 8907,
"need_tools_kwargs": true,
"question": "Circles $C_1$ and $C_2$ are externally tangent and both internally tangent to a larger circle $C_3$. The centers of the three circles are collinear. The radii of $C_1$ and $C_2$ are 6 and 14 respectively. Determine the total distance from the center of $C_1$ to the center of $C_3$ along the line connecting their centers.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What nationality is the director of film My Days Of Mercy?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Israeli",
"style": "rule"
}
|
{
"index": 8908,
"need_tools_kwargs": true,
"question": "What nationality is the director of film My Days Of Mercy?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What nationality is Nara Lokesh's father?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "India",
"style": "rule"
}
|
{
"index": 8909,
"need_tools_kwargs": true,
"question": "What nationality is Nara Lokesh's father?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Andrew Stahl was an actor on the CBS drama that aired during which period?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "April 1994 to August 1995",
"style": "rule"
}
|
{
"index": 8910,
"need_tools_kwargs": true,
"question": "Andrew Stahl was an actor on the CBS drama that aired during which period?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Let $P$ be the point on line segment $\\overline{AB}$ such that AP:PB = 4:1. Express the vector $\\overrightarrow{P}$ in terms of the vectors $\\overrightarrow{A}$ and $\\overrightarrow{B}$, i.e., find constants $t$ and $u$ such that \n\\[\\overrightarrow{P} = t \\overrightarrow{A} + u \\overrightarrow{B}.\\]",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\left( \\frac{4}{5}, \\frac{1}{5} \\right)",
"style": "rule"
}
|
{
"index": 8911,
"need_tools_kwargs": true,
"question": "Let $P$ be the point on line segment $\\overline{AB}$ such that AP:PB = 4:1. Express the vector $\\overrightarrow{P}$ in terms of the vectors $\\overrightarrow{A}$ and $\\overrightarrow{B}$, i.e., find constants $t$ and $u$ such that \n\\[\\overrightarrow{P} = t \\overrightarrow{A} + u \\overrightarrow{B}.\\]",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "A company's workforce consists of 10 percent managers and 90 percent software engineers. Another company's workforce consists of some percent managers, 10 percent software engineers, and 60 percent support staff. The two companies merge, and the resulting company's workforce consists of 25 percent managers. If 25 percent of the workforce originated from the first company, what percent of the second company's workforce were managers?",
"role": "user"
}
] |
math
|
{
"ground_truth": "22.5",
"style": "rule"
}
|
{
"index": 8912,
"need_tools_kwargs": true,
"question": "A company's workforce consists of 10 percent managers and 90 percent software engineers. Another company's workforce consists of some percent managers, 10 percent software engineers, and 60 percent support staff. The two companies merge, and the resulting company's workforce consists of 25 percent managers. If 25 percent of the workforce originated from the first company, what percent of the second company's workforce were managers?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Douglas A. Mendini writes non-fiction that has appeared in magazines by what publisher?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Hearst Corporation",
"style": "rule"
}
|
{
"index": 8913,
"need_tools_kwargs": true,
"question": "Douglas A. Mendini writes non-fiction that has appeared in magazines by what publisher?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Who is the father of the director of film Emilie Högquist (Film)?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Harald Molander",
"style": "rule"
}
|
{
"index": 8914,
"need_tools_kwargs": true,
"question": "Who is the father of the director of film Emilie Högquist (Film)?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "In the expression \\(5 * 4 * 3 * 2 * 1 = 0\\), replace the asterisks with arithmetic operators \\(+, -, \\times, \\div\\), using each operator exactly once, so that the equality holds true (note: \\(2 + 2 \\times 2 = 6\\)).",
"role": "user"
}
] |
math
|
{
"ground_truth": "5 - 4 \\times 3 : 2 + 1",
"style": "rule"
}
|
{
"index": 8915,
"need_tools_kwargs": true,
"question": "In the expression \\(5 * 4 * 3 * 2 * 1 = 0\\), replace the asterisks with arithmetic operators \\(+, -, \\times, \\div\\), using each operator exactly once, so that the equality holds true (note: \\(2 + 2 \\times 2 = 6\\)).",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What Shakespearian work was an Urdu play published in 1908 based on?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "John, King of England",
"style": "rule"
}
|
{
"index": 8916,
"need_tools_kwargs": true,
"question": "What Shakespearian work was an Urdu play published in 1908 based on?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "设$\\triangle ABC$的内角$\\angle A、\\angle B、\\angle C$的对边分别为$a、b、c$,且$\\angle A-\\angle C=\\frac{\\pi}{2},a、b、c$ 成等差数列.则$\\cos B$ 的值为_.原始的答案是\\frac{m}{n}的形式，其中m、n是互质的。请给出最终m + n的值",
"role": "user"
}
] |
math
|
{
"ground_truth": "7",
"style": "rule"
}
|
{
"index": 8917,
"need_tools_kwargs": true,
"question": "设$\\triangle ABC$的内角$\\angle A、\\angle B、\\angle C$的对边分别为$a、b、c$,且$\\angle A-\\angle C=\\frac{\\pi}{2},a、b、c$ 成等差数列.则$\\cos B$ 的值为_.原始的答案是\\frac{m}{n}的形式，其中m、n是互质的。请给出最终m + n的值",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Tracy had a bag of candies, and none of the candies could be broken into pieces. She ate $\\frac{1}{3}$ of them and then gave $\\frac{1}{4}$ of what remained to her friend Rachel. Tracy and her mom then each ate 15 candies from what Tracy had left. Finally, Tracy's brother took somewhere from one to five candies, leaving Tracy with three candies. How many candies did Tracy have at the start?",
"role": "user"
}
] |
math
|
{
"ground_truth": "72",
"style": "rule"
}
|
{
"index": 8918,
"need_tools_kwargs": true,
"question": "Tracy had a bag of candies, and none of the candies could be broken into pieces. She ate $\\frac{1}{3}$ of them and then gave $\\frac{1}{4}$ of what remained to her friend Rachel. Tracy and her mom then each ate 15 candies from what Tracy had left. Finally, Tracy's brother took somewhere from one to five candies, leaving Tracy with three candies. How many candies did Tracy have at the start?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Given the difference in lengths of two sides of a triangle is 5, and the perimeter is an even number, the minimum value of the third side is",
"role": "user"
}
] |
math
|
{
"ground_truth": "7",
"style": "rule"
}
|
{
"index": 8919,
"need_tools_kwargs": true,
"question": "Given the difference in lengths of two sides of a triangle is 5, and the perimeter is an even number, the minimum value of the third side is",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "This man was the Deputy Earl Marshal to the third British monarch of the House of Hanover.",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Lord Henry Thomas Howard-Molyneux-Howard",
"style": "rule"
}
|
{
"index": 8920,
"need_tools_kwargs": true,
"question": "This man was the Deputy Earl Marshal to the third British monarch of the House of Hanover.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Find all values of \\( a \\neq 0 \\) for which the inequality\n\n\\[ a^{2}\\left|a+\\frac{x}{a^{2}}\\right|+|1+x| \\leq 1-a^{3} \\]\n\nhas at least four distinct integer solutions.",
"role": "user"
}
] |
math
|
{
"ground_truth": "a \\in (-\\infty, -\\sqrt[3]{2}]",
"style": "rule"
}
|
{
"index": 8921,
"need_tools_kwargs": true,
"question": "Find all values of \\( a \\neq 0 \\) for which the inequality\n\n\\[ a^{2}\\left|a+\\frac{x}{a^{2}}\\right|+|1+x| \\leq 1-a^{3} \\]\n\nhas at least four distinct integer solutions.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "The Battle of the Labyrinth is the fourth novel in a pentalogy of adventure and mythological fiction books that have sold more than 45 million copies, and have been sold in how many countries?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "35",
"style": "rule"
}
|
{
"index": 8922,
"need_tools_kwargs": true,
"question": "The Battle of the Labyrinth is the fourth novel in a pentalogy of adventure and mythological fiction books that have sold more than 45 million copies, and have been sold in how many countries?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Let \\( g_n(x) = \\tan^n x + \\cot^n x \\). Determine how many values of \\( x \\) in the interval \\( [0, \\frac{\\pi}{2}] \\) satisfy the equation:\n\\[\n3g_2(x) - 2g_4(x) = 3.\n\\]",
"role": "user"
}
] |
math
|
{
"ground_truth": "1",
"style": "rule"
}
|
{
"index": 8923,
"need_tools_kwargs": true,
"question": "Let \\( g_n(x) = \\tan^n x + \\cot^n x \\). Determine how many values of \\( x \\) in the interval \\( [0, \\frac{\\pi}{2}] \\) satisfy the equation:\n\\[\n3g_2(x) - 2g_4(x) = 3.\n\\]",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "4\\times4\\times4 的大正方体由 64 个单位正方体组成. 选取其中的 16 个单位正方体涂成红色，使得每个 1\\times1\\times4 的小长方体中都恰有 1 个红色单位正方体. 问：16 个红色单位正方体共有多少种不同的取法？",
"role": "user"
}
] |
math
|
{
"ground_truth": "576",
"style": "rule"
}
|
{
"index": 8924,
"need_tools_kwargs": true,
"question": "4\\times4\\times4 的大正方体由 64 个单位正方体组成. 选取其中的 16 个单位正方体涂成红色，使得每个 1\\times1\\times4 的小长方体中都恰有 1 个红色单位正方体. 问：16 个红色单位正方体共有多少种不同的取法？",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Calculate the volume of tetrahedron \\(ABCD\\) given the edge lengths \\(AB = 4\\), \\(AC = 5\\), \\(AD = 6\\), \\(BC = 2\\sqrt{7}\\), \\(BD = 5\\), and \\(CD = \\sqrt{34}\\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "6\\sqrt{1301}",
"style": "rule"
}
|
{
"index": 8925,
"need_tools_kwargs": true,
"question": "Calculate the volume of tetrahedron \\(ABCD\\) given the edge lengths \\(AB = 4\\), \\(AC = 5\\), \\(AD = 6\\), \\(BC = 2\\sqrt{7}\\), \\(BD = 5\\), and \\(CD = \\sqrt{34}\\).",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Let's call a natural number $n$ squareable if the numbers from 1 to $n$ can be arranged in such a way that each member of the sequence, when added to its index, gives a perfect square. For example, the number 5 is squareable because the numbers can be arranged as 32154, such that $3+1=4$, $2+2=4$, $1+3=4$, and $5+4=9$. Determine which of the numbers $7, 9, 11, 15$ are squareable.",
"role": "user"
}
] |
math
|
{
"ground_truth": "915",
"style": "rule"
}
|
{
"index": 8926,
"need_tools_kwargs": true,
"question": "Let's call a natural number $n$ squareable if the numbers from 1 to $n$ can be arranged in such a way that each member of the sequence, when added to its index, gives a perfect square. For example, the number 5 is squareable because the numbers can be arranged as 32154, such that $3+1=4$, $2+2=4$, $1+3=4$, and $5+4=9$. Determine which of the numbers $7, 9, 11, 15$ are squareable.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Are Dehbid, Marvdasht and Dowlabad located in the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 8927,
"need_tools_kwargs": true,
"question": "Are Dehbid, Marvdasht and Dowlabad located in the same country?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Given the sequence \\(\\{a_n\\}\\) satisfying \\(a_7 = \\frac{16}{3}\\), and the recurrence relation \\(a_n = \\frac{3a_{n-1} + 4}{7 - a_{n-1}}\\) for \\(n \\geq 2\\), determine the behavior of the sequence as \\(n\\) increases. Specifically, analyze whether there exists a natural number \\(m\\) such that for all \\(n \\geq m\\), the following conditions hold:\n1. \\(a_n < 2\\)\n2. \\(a_n > -\\frac{4}{3}\\)\n3. \\(a_n > \\frac{a_{n-1} + a_{n+1}}{2}\\)\n4. \\(a_n < \\frac{a_{n-1} + a_{n+1}}{2}\\)",
"role": "user"
}
] |
math
|
{
"ground_truth": "3",
"style": "rule"
}
|
{
"index": 8928,
"need_tools_kwargs": true,
"question": "Given the sequence \\(\\{a_n\\}\\) satisfying \\(a_7 = \\frac{16}{3}\\), and the recurrence relation \\(a_n = \\frac{3a_{n-1} + 4}{7 - a_{n-1}}\\) for \\(n \\geq 2\\), determine the behavior of the sequence as \\(n\\) increases. Specifically, analyze whether there exists a natural number \\(m\\) such that for all \\(n \\geq m\\), the following conditions hold:\n1. \\(a_n < 2\\)\n2. \\(a_n > -\\frac{4}{3}\\)\n3. \\(a_n > \\frac{a_{n-1} + a_{n+1}}{2}\\)\n4. \\(a_n < \\frac{a_{n-1} + a_{n+1}}{2}\\)",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the date of death of the director of film Fiend Without A Face?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "15 March 1975",
"style": "rule"
}
|
{
"index": 8929,
"need_tools_kwargs": true,
"question": "What is the date of death of the director of film Fiend Without A Face?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What was the name of the father of two-time Vice Chancellor of the University of Kashmir, Talat Ahmad?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Moinuddin Ahmad.",
"style": "rule"
}
|
{
"index": 8930,
"need_tools_kwargs": true,
"question": "What was the name of the father of two-time Vice Chancellor of the University of Kashmir, Talat Ahmad?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "When was the singer who released Smokin' O.P.'s born?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "May 6, 1945",
"style": "rule"
}
|
{
"index": 8931,
"need_tools_kwargs": true,
"question": "When was the singer who released Smokin' O.P.'s born?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Are director of film Those Who Dare and director of film Sound Of My Voice from the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 8932,
"need_tools_kwargs": true,
"question": "Are director of film Those Who Dare and director of film Sound Of My Voice from the same country?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Do director of film Calling All Stars and director of film Ned Rifle have the same nationality?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "no",
"style": "rule"
}
|
{
"index": 8933,
"need_tools_kwargs": true,
"question": "Do director of film Calling All Stars and director of film Ned Rifle have the same nationality?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "When was the director of film In High Places (1943 Film) born?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "17 November 1906",
"style": "rule"
}
|
{
"index": 8934,
"need_tools_kwargs": true,
"question": "When was the director of film In High Places (1943 Film) born?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Find two natural numbers whose sum is 168 and their greatest common divisor is 24.",
"role": "user"
}
] |
math
|
{
"ground_truth": "24144481207296",
"style": "rule"
}
|
{
"index": 8935,
"need_tools_kwargs": true,
"question": "Find two natural numbers whose sum is 168 and their greatest common divisor is 24.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "In the diagram, how many \\(1 \\times 1\\) squares are shaded in the \\(8 \\times 8\\) grid?\n(A) 53 \n(B) 51 \n(C) 47 \n(D) 45 \n(E) 49 ",
"role": "user"
}
] |
math
|
{
"ground_truth": "49",
"style": "rule"
}
|
{
"index": 8936,
"need_tools_kwargs": true,
"question": "In the diagram, how many \\(1 \\times 1\\) squares are shaded in the \\(8 \\times 8\\) grid?\n(A) 53 \n(B) 51 \n(C) 47 \n(D) 45 \n(E) 49 ",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the birthplace of the composer of Griselda?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Venice",
"style": "rule"
}
|
{
"index": 8937,
"need_tools_kwargs": true,
"question": "What is the birthplace of the composer of Griselda?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "In the diagram, $AB$ is a horizontal line segment. A vertical line CE intersects AB at point C. Line segment DE is drawn, forming an angle with CE. If $\\angle ECD = 68^\\circ$ and $\\angle DEB = 58^\\circ$, what is the value of $x$ where $x^\\circ$ is the angle formed between line segment DE and line AB?\n\n[asy]\ndraw((0,0)--(10,0),black+linewidth(1));\ndraw((4,0)--(4,8),black+linewidth(1));\ndraw((4,0)--(3.5,0)--(3.5,0.5)--(4,0.5)--cycle,black+linewidth(1));\ndraw((4,0)--(9,7),black+linewidth(1));\nlabel(\"$A$\",(0,0),W);\nlabel(\"$B$\",(10,0),E);\nlabel(\"$x^\\circ$\",(4.75,2.25));\nlabel(\"$68^\\circ$\",(4.5,4.5));\nlabel(\"$58^\\circ$\",(6,2.5));\nlabel(\"$C$\",(4,0),S);\nlabel(\"$D$\",(4,8),N);\nlabel(\"$E$\",(9,7),NE);\n[/asy]",
"role": "user"
}
] |
math
|
{
"ground_truth": "36^\\circ",
"style": "rule"
}
|
{
"index": 8938,
"need_tools_kwargs": true,
"question": "In the diagram, $AB$ is a horizontal line segment. A vertical line CE intersects AB at point C. Line segment DE is drawn, forming an angle with CE. If $\\angle ECD = 68^\\circ$ and $\\angle DEB = 58^\\circ$, what is the value of $x$ where $x^\\circ$ is the angle formed between line segment DE and line AB?\n\n[asy]\ndraw((0,0)--(10,0),black+linewidth(1));\ndraw((4,0)--(4,8),black+linewidth(1));\ndraw((4,0)--(3.5,0)--(3.5,0.5)--(4,0.5)--cycle,black+linewidth(1));\ndraw((4,0)--(9,7),black+linewidth(1));\nlabel(\"$A$\",(0,0),W);\nlabel(\"$B$\",(10,0),E);\nlabel(\"$x^\\circ$\",(4.75,2.25));\nlabel(\"$68^\\circ$\",(4.5,4.5));\nlabel(\"$58^\\circ$\",(6,2.5));\nlabel(\"$C$\",(4,0),S);\nlabel(\"$D$\",(4,8),N);\nlabel(\"$E$\",(9,7),NE);\n[/asy]",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Two uniform solid spheres of equal radii are so placed that one is directly above the other. The bottom sphere is fixed, and the top sphere, initially at rest, rolls off. At what point will contact between the two spheres be \"lost\"? Assume the coefficient of friction is such that no slipping occurs. The original answer is in the format \\theta=\\arccos (m / n), please give the value of m + n.",
"role": "user"
}
] |
math
|
{
"ground_truth": "27",
"style": "rule"
}
|
{
"index": 8939,
"need_tools_kwargs": true,
"question": "Two uniform solid spheres of equal radii are so placed that one is directly above the other. The bottom sphere is fixed, and the top sphere, initially at rest, rolls off. At what point will contact between the two spheres be \"lost\"? Assume the coefficient of friction is such that no slipping occurs. The original answer is in the format \\theta=\\arccos (m / n), please give the value of m + n.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "When was the American actress and singer-songwriter born who's album is Volume Two in collaboration with M. Ward?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "January 17, 1980",
"style": "rule"
}
|
{
"index": 8940,
"need_tools_kwargs": true,
"question": "When was the American actress and singer-songwriter born who's album is Volume Two in collaboration with M. Ward?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Five integers are written on a board. By summing them in pairs, the following set of 10 numbers was obtained: $-1, 5, 8, 9, 11, 12, 14, 18, 20, 24$. Determine which numbers are written on the board. Provide their product as the answer.",
"role": "user"
}
] |
math
|
{
"ground_truth": "-2002",
"style": "rule"
}
|
{
"index": 8941,
"need_tools_kwargs": true,
"question": "Five integers are written on a board. By summing them in pairs, the following set of 10 numbers was obtained: $-1, 5, 8, 9, 11, 12, 14, 18, 20, 24$. Determine which numbers are written on the board. Provide their product as the answer.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "At a school concert, the ticket price per student is represented by \\( x \\) dollars, where \\( x \\) is a whole number. A group of 45 students from 10th grade pays a total of 180 dollars, and a group of 36 students from 11th grade pays a total of 144 dollars. Determine how many possible values for \\( x \\) exist, given that \\( x \\) must also be a divisor of the number of students in the 11th grade.",
"role": "user"
}
] |
math
|
{
"ground_truth": "9",
"style": "rule"
}
|
{
"index": 8942,
"need_tools_kwargs": true,
"question": "At a school concert, the ticket price per student is represented by \\( x \\) dollars, where \\( x \\) is a whole number. A group of 45 students from 10th grade pays a total of 180 dollars, and a group of 36 students from 11th grade pays a total of 144 dollars. Determine how many possible values for \\( x \\) exist, given that \\( x \\) must also be a divisor of the number of students in the 11th grade.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Gujiao and Baicheng are both located where?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "People's Republic of China",
"style": "rule"
}
|
{
"index": 8943,
"need_tools_kwargs": true,
"question": "Gujiao and Baicheng are both located where?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Were both Kirby Short and Hilarión Eslava, born in the same place?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "no",
"style": "rule"
}
|
{
"index": 8944,
"need_tools_kwargs": true,
"question": "Were both Kirby Short and Hilarión Eslava, born in the same place?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Stefano Nava was a backup for which former right-back who now is the assistant coach for the Ukrainian national team?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Mauro Tassotti",
"style": "rule"
}
|
{
"index": 8945,
"need_tools_kwargs": true,
"question": "Stefano Nava was a backup for which former right-back who now is the assistant coach for the Ukrainian national team?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "The school plans to set up two computer labs, each equipped with one teacher's computer and several student computers. In a standard lab, the teacher's computer costs 8000 yuan, and each student computer costs 3500 yuan; in an advanced lab, the teacher's computer costs 11500 yuan, and each student computer costs 7000 yuan. It is known that the total investment for purchasing computers in both labs is equal and is between 200,000 yuan and 210,000 yuan. How many student computers should be prepared for each lab?",
"role": "user"
}
] |
math
|
{
"ground_truth": "27",
"style": "rule"
}
|
{
"index": 8946,
"need_tools_kwargs": true,
"question": "The school plans to set up two computer labs, each equipped with one teacher's computer and several student computers. In a standard lab, the teacher's computer costs 8000 yuan, and each student computer costs 3500 yuan; in an advanced lab, the teacher's computer costs 11500 yuan, and each student computer costs 7000 yuan. It is known that the total investment for purchasing computers in both labs is equal and is between 200,000 yuan and 210,000 yuan. How many student computers should be prepared for each lab?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "what filmmakers last picture stared Amy Rose Locane-Bovenizer?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Tony Richardson",
"style": "rule"
}
|
{
"index": 8947,
"need_tools_kwargs": true,
"question": "what filmmakers last picture stared Amy Rose Locane-Bovenizer?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Select five numbers from 1, 2, 3, 4, 5, 6, 7, 8, 9. Determine how many of the following statements are true:\n1. There will always be two numbers that are coprime.\n2. There will always be one number that is a multiple of another.\n3. There will always be a number whose double is a multiple of another.\n\nFrom the statements above, the number of correct statements is:\n(A) 0\n(B) 1\n(C) 2\n(D) 3\n\n(From the Mathematics Competition for Middle School Students, Jiangsu Province, China, 1988)",
"role": "user"
}
] |
math
|
{
"ground_truth": "2",
"style": "rule"
}
|
{
"index": 8948,
"need_tools_kwargs": true,
"question": "Select five numbers from 1, 2, 3, 4, 5, 6, 7, 8, 9. Determine how many of the following statements are true:\n1. There will always be two numbers that are coprime.\n2. There will always be one number that is a multiple of another.\n3. There will always be a number whose double is a multiple of another.\n\nFrom the statements above, the number of correct statements is:\n(A) 0\n(B) 1\n(C) 2\n(D) 3\n\n(From the Mathematics Competition for Middle School Students, Jiangsu Province, China, 1988)",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "A circle is circumscribed about an isosceles triangle with a $45^{\\circ}$ angle at the apex. A second circle is inscribed within the triangle such that it touches the first circle internally and also touches the two legs of the triangle. The distance from the center of the second circle to the vertex of the triangle is 4 cm. Find the distance from the center of this circle to the center of the circle inscribed in the triangle.",
"role": "user"
}
] |
math
|
{
"ground_truth": "d_{XI}",
"style": "rule"
}
|
{
"index": 8949,
"need_tools_kwargs": true,
"question": "A circle is circumscribed about an isosceles triangle with a $45^{\\circ}$ angle at the apex. A second circle is inscribed within the triangle such that it touches the first circle internally and also touches the two legs of the triangle. The distance from the center of the second circle to the vertex of the triangle is 4 cm. Find the distance from the center of this circle to the center of the circle inscribed in the triangle.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What American politician who is the U.S. Representative for Nevada's 3rd congressional district won the November 8, 2016, general election by a close margin, taking the position from an American attorney, businessman and Candidate for US Senate in the state of Nevada?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Jacklyn Sheryl Rosen",
"style": "rule"
}
|
{
"index": 8950,
"need_tools_kwargs": true,
"question": "What American politician who is the U.S. Representative for Nevada's 3rd congressional district won the November 8, 2016, general election by a close margin, taking the position from an American attorney, businessman and Candidate for US Senate in the state of Nevada?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Bob and Johnny have a leaf raking business. They charge $4 for each bag of leaves they rake. On a certain day, they raked 3 bags of leaves and 9 bags of leaves on two other days. They counted their money and found they had $68 for all three days. How many bags of leaves did they rake on the first day?",
"role": "user"
}
] |
math
|
{
"ground_truth": "2",
"style": "rule"
}
|
{
"index": 8951,
"need_tools_kwargs": true,
"question": "Bob and Johnny have a leaf raking business. They charge $4 for each bag of leaves they rake. On a certain day, they raked 3 bags of leaves and 9 bags of leaves on two other days. They counted their money and found they had $68 for all three days. How many bags of leaves did they rake on the first day?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the middle name of the character played by Ellie Kemper in a leading TV role?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Couger",
"style": "rule"
}
|
{
"index": 8952,
"need_tools_kwargs": true,
"question": "What is the middle name of the character played by Ellie Kemper in a leading TV role?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Do director of film The Honeymoon Machine and director of film Cold in July (film) have the same nationality?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 8953,
"need_tools_kwargs": true,
"question": "Do director of film The Honeymoon Machine and director of film Cold in July (film) have the same nationality?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Mark deposited some money in a bank. Bryan deposited $40 less than five times as much as Mark. Mark and Bryan deposited $400 in the bank. How much did Mark deposit in the bank?",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\$73.33",
"style": "rule"
}
|
{
"index": 8954,
"need_tools_kwargs": true,
"question": "Mark deposited some money in a bank. Bryan deposited $40 less than five times as much as Mark. Mark and Bryan deposited $400 in the bank. How much did Mark deposit in the bank?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "It is easy to place the complete set of ships for the game \"Battleship\" on a $10 \\times 10$ board (see illustration). What is the smallest square board on which this set can be placed? (Recall that according to the rules, ships must not touch each other, even at the corners.)",
"role": "user"
}
] |
math
|
{
"ground_truth": "7\\times7",
"style": "rule"
}
|
{
"index": 8955,
"need_tools_kwargs": true,
"question": "It is easy to place the complete set of ships for the game \"Battleship\" on a $10 \\times 10$ board (see illustration). What is the smallest square board on which this set can be placed? (Recall that according to the rules, ships must not touch each other, even at the corners.)",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Let $h$ be a positive integer. The sequence $a_n$ is defined by $a_0 = 1$ and\n\n\\[a_{n+1} = \\{\\begin{array}{c} \\frac{a_n}{2} \\text{ if } a_n \\text{ is even }a_n+h \\text{ otherwise }.\\end{array}\\]\n\nFor example, $h = 27$ yields $a_1=28, a_2 = 14, a_3 = 7, a_4 = 34$ etc. For which $h$ is there an $n > 0$ with $a_n = 1$ ?",
"role": "user"
}
] |
math
|
{
"ground_truth": " h ",
"style": "rule"
}
|
{
"index": 8956,
"need_tools_kwargs": true,
"question": "Let $h$ be a positive integer. The sequence $a_n$ is defined by $a_0 = 1$ and\n\n\\[a_{n+1} = \\{\\begin{array}{c} \\frac{a_n}{2} \\text{ if } a_n \\text{ is even }a_n+h \\text{ otherwise }.\\end{array}\\]\n\nFor example, $h = 27$ yields $a_1=28, a_2 = 14, a_3 = 7, a_4 = 34$ etc. For which $h$ is there an $n > 0$ with $a_n = 1$ ?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Which film came out earlier, Eraser (Film) or Behind The Yellow Line?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Behind The Yellow Line",
"style": "rule"
}
|
{
"index": 8957,
"need_tools_kwargs": true,
"question": "Which film came out earlier, Eraser (Film) or Behind The Yellow Line?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Are both director of film Looking for Comedy in the Muslim World and director of film Flakes (film) from the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 8958,
"need_tools_kwargs": true,
"question": "Are both director of film Looking for Comedy in the Muslim World and director of film Flakes (film) from the same country?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Erik's dog can run 24 miles per hour. It is chasing a rabbit that can run 15 miles per hour. The rabbit has a head start of .6 miles. How many minutes does it take for the dog to catch up to the rabbit?",
"role": "user"
}
] |
math
|
{
"ground_truth": "4.0",
"style": "rule"
}
|
{
"index": 8959,
"need_tools_kwargs": true,
"question": "Erik's dog can run 24 miles per hour. It is chasing a rabbit that can run 15 miles per hour. The rabbit has a head start of .6 miles. How many minutes does it take for the dog to catch up to the rabbit?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Let $r$ be the number that results when both the base and the exponent of $a^b$ are tripled, where $a, b>0$. If $r$ equals the product of $a^b$ and $x^b$ where $x>0$, find the value of $x$. The original answer is in the form of $k \\cdot m^n$, where $k$, $m$, and $n$ are constants. Please find the value of $k + m + n$.",
"role": "user"
}
] |
math
|
{
"ground_truth": "30",
"style": "rule"
}
|
{
"index": 8960,
"need_tools_kwargs": true,
"question": "Let $r$ be the number that results when both the base and the exponent of $a^b$ are tripled, where $a, b>0$. If $r$ equals the product of $a^b$ and $x^b$ where $x>0$, find the value of $x$. The original answer is in the form of $k \\cdot m^n$, where $k$, $m$, and $n$ are constants. Please find the value of $k + m + n$.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the date of birth of the director of film Zwemplaats Voor Jongelingen Te Amsterdam?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "5 November 1866",
"style": "rule"
}
|
{
"index": 8961,
"need_tools_kwargs": true,
"question": "What is the date of birth of the director of film Zwemplaats Voor Jongelingen Te Amsterdam?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "The $\\$6.35$ in Alex's savings consist of dimes and quarters. He has five more dimes than quarters. How many dimes does Alex have?",
"role": "user"
}
] |
math
|
{
"ground_truth": "22",
"style": "rule"
}
|
{
"index": 8962,
"need_tools_kwargs": true,
"question": "The $\\$6.35$ in Alex's savings consist of dimes and quarters. He has five more dimes than quarters. How many dimes does Alex have?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What was the 1978 BBC musical drama serial that Rosemary Martin acted in?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Pennies From Heaven",
"style": "rule"
}
|
{
"index": 8963,
"need_tools_kwargs": true,
"question": "What was the 1978 BBC musical drama serial that Rosemary Martin acted in?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "设向量 $\\boldsymbol{a} 、 \\boldsymbol{b} 、 \\boldsymbol{c}$ 满足 $|\\boldsymbol{a}|=|\\boldsymbol{b}|=1, \\boldsymbol{a} \\cdot \\boldsymbol{b}=\\frac{1}{2}$,向量 $\\boldsymbol{a}-\\boldsymbol{c}$ 与 $\\boldsymbol{c}-\\boldsymbol{b}$ 的夹角为 $\\frac{\\pi}{3}$. 则 $|\\boldsymbol{c}|$ 的最大值的$\\sqrt3$倍______.",
"role": "user"
}
] |
math
|
{
"ground_truth": "2",
"style": "rule"
}
|
{
"index": 8964,
"need_tools_kwargs": true,
"question": "设向量 $\\boldsymbol{a} 、 \\boldsymbol{b} 、 \\boldsymbol{c}$ 满足 $|\\boldsymbol{a}|=|\\boldsymbol{b}|=1, \\boldsymbol{a} \\cdot \\boldsymbol{b}=\\frac{1}{2}$,向量 $\\boldsymbol{a}-\\boldsymbol{c}$ 与 $\\boldsymbol{c}-\\boldsymbol{b}$ 的夹角为 $\\frac{\\pi}{3}$. 则 $|\\boldsymbol{c}|$ 的最大值的$\\sqrt3$倍______.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "In triangle \\( \\triangle ABC \\), the area is \\( 15 \\). Points \\( P, Q, \\) and \\( R \\) are located on sides \\( AB, BC, \\) and \\( CA \\) respectively, with \\( AP = 3 \\) and \\( PB = 2 \\). Given that the areas of triangle \\( \\triangle AQC \\) and the quadrilateral \\( PBCQ \\) are equal, determine the area of triangle \\( \\triangle AQC \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "7.5",
"style": "rule"
}
|
{
"index": 8965,
"need_tools_kwargs": true,
"question": "In triangle \\( \\triangle ABC \\), the area is \\( 15 \\). Points \\( P, Q, \\) and \\( R \\) are located on sides \\( AB, BC, \\) and \\( CA \\) respectively, with \\( AP = 3 \\) and \\( PB = 2 \\). Given that the areas of triangle \\( \\triangle AQC \\) and the quadrilateral \\( PBCQ \\) are equal, determine the area of triangle \\( \\triangle AQC \\).",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "An algebraic term named after a French mathematician and physicist who made pioneering contributions to analysis, is also named after who?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Jacques Philippe Marie Binet",
"style": "rule"
}
|
{
"index": 8966,
"need_tools_kwargs": true,
"question": "An algebraic term named after a French mathematician and physicist who made pioneering contributions to analysis, is also named after who?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the date of death of the director of film The Witching Hour (1934 Film)?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "February 11, 1985",
"style": "rule"
}
|
{
"index": 8967,
"need_tools_kwargs": true,
"question": "What is the date of death of the director of film The Witching Hour (1934 Film)?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "How is Dream Team member Robert Kardashian connected to the series \"Keeping Up with the Kardashians\"?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "four children with his first wife",
"style": "rule"
}
|
{
"index": 8968,
"need_tools_kwargs": true,
"question": "How is Dream Team member Robert Kardashian connected to the series \"Keeping Up with the Kardashians\"?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Using 22 matches, form the outline of a rectangle with the largest possible area. Matches cannot be broken.",
"role": "user"
}
] |
math
|
{
"ground_truth": "6 \\times 5",
"style": "rule"
}
|
{
"index": 8969,
"need_tools_kwargs": true,
"question": "Using 22 matches, form the outline of a rectangle with the largest possible area. Matches cannot be broken.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Who first built the fortress town included in William Bennet's survey of Roman roads?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "the Legio II \"Adiutrix\"",
"style": "rule"
}
|
{
"index": 8970,
"need_tools_kwargs": true,
"question": "Who first built the fortress town included in William Bennet's survey of Roman roads?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "In which country is both Anqing and Yangquan located?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "People's Republic of China",
"style": "rule"
}
|
{
"index": 8971,
"need_tools_kwargs": true,
"question": "In which country is both Anqing and Yangquan located?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "In what political role did the politican who Alistair Beaton worked as a speechwriter for, serve in the Blair Government? ",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Chancellor of the Exchequer",
"style": "rule"
}
|
{
"index": 8972,
"need_tools_kwargs": true,
"question": "In what political role did the politican who Alistair Beaton worked as a speechwriter for, serve in the Blair Government? ",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Grandma's garden has three types of apples: Antonovka, Grushovka, and White Naliv. If the amount of Antonovka apples were tripled, the total number of apples would increase by 70%. If the amount of Grushovka apples were tripled, the total number of apples would increase by 50%. By what percentage would the total number of apples change if the amount of White Naliv apples were tripled?",
"role": "user"
}
] |
math
|
{
"ground_truth": "80",
"style": "rule"
}
|
{
"index": 8973,
"need_tools_kwargs": true,
"question": "Grandma's garden has three types of apples: Antonovka, Grushovka, and White Naliv. If the amount of Antonovka apples were tripled, the total number of apples would increase by 70%. If the amount of Grushovka apples were tripled, the total number of apples would increase by 50%. By what percentage would the total number of apples change if the amount of White Naliv apples were tripled?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "The Cartesian equation of curve C is $x^2+y^2-2x=0$. Establish a polar coordinate system with the origin as the pole and the positive x-axis as the polar axis. Then, the polar equation of curve C is.",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\rho=2\\cos\\theta",
"style": "rule"
}
|
{
"index": 8974,
"need_tools_kwargs": true,
"question": "The Cartesian equation of curve C is $x^2+y^2-2x=0$. Establish a polar coordinate system with the origin as the pole and the positive x-axis as the polar axis. Then, the polar equation of curve C is.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the name of the gym opened by a kickboxer who also participated in a form of off-road motorcycle racing? ",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Ubeda Gym",
"style": "rule"
}
|
{
"index": 8975,
"need_tools_kwargs": true,
"question": "What is the name of the gym opened by a kickboxer who also participated in a form of off-road motorcycle racing? ",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Who directed the first installment in the \"Disney Fairies\" franchise?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Bradley Raymond",
"style": "rule"
}
|
{
"index": 8976,
"need_tools_kwargs": true,
"question": "Who directed the first installment in the \"Disney Fairies\" franchise?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the nationality of the Manchester United football player who participated in the 2009 Football League Cup Final?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Argentine",
"style": "rule"
}
|
{
"index": 8977,
"need_tools_kwargs": true,
"question": "What is the nationality of the Manchester United football player who participated in the 2009 Football League Cup Final?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "who defeated the former U.S. Representative for 's 14 congressional district in the 2012 Florida Elections?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Senator Bill Nelson",
"style": "rule"
}
|
{
"index": 8978,
"need_tools_kwargs": true,
"question": "who defeated the former U.S. Representative for 's 14 congressional district in the 2012 Florida Elections?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "The triangle shown is an equilateral triangle with side length 12 cm. A side of the triangle is the diameter of the circle. If the sum of the areas of the two small shaded regions in square centimeters in simplest radical form is $a\\pi - b\\sqrt{c}$, what is $a+b+c$? [asy]\nimport graph;\nsize(2inch);\npair A = dir(60);\npair B = dir(240);\npair C = dir(0);\npair D = dir(300);\npair E = extension(A, C, B, D);\ndraw(A--B); draw(A--E); draw(B--E);\ndraw(Circle( (0,0), 1));\nfill(Arc((0,0), C, A)--cycle, gray);\nfill(Arc((0,0), B, D)--cycle, gray);\n[/asy]",
"role": "user"
}
] |
math
|
{
"ground_truth": "33",
"style": "rule"
}
|
{
"index": 8979,
"need_tools_kwargs": true,
"question": "The triangle shown is an equilateral triangle with side length 12 cm. A side of the triangle is the diameter of the circle. If the sum of the areas of the two small shaded regions in square centimeters in simplest radical form is $a\\pi - b\\sqrt{c}$, what is $a+b+c$? [asy]\nimport graph;\nsize(2inch);\npair A = dir(60);\npair B = dir(240);\npair C = dir(0);\npair D = dir(300);\npair E = extension(A, C, B, D);\ndraw(A--B); draw(A--E); draw(B--E);\ndraw(Circle( (0,0), 1));\nfill(Arc((0,0), C, A)--cycle, gray);\nfill(Arc((0,0), B, D)--cycle, gray);\n[/asy]",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "A circle with radius 2 rolls around the inside of a right triangle with sides 9, 12, and 15. The circle remains tangent to at least one side of the triangle at all times. Determine the total distance traveled by the center of the circle when it returns to its starting position.",
"role": "user"
}
] |
math
|
{
"ground_truth": "12",
"style": "rule"
}
|
{
"index": 8980,
"need_tools_kwargs": true,
"question": "A circle with radius 2 rolls around the inside of a right triangle with sides 9, 12, and 15. The circle remains tangent to at least one side of the triangle at all times. Determine the total distance traveled by the center of the circle when it returns to its starting position.",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Given the two functions \\( f(x)=x^3+2 \\) and \\( g(x)=3x+4 \\), find \\( f(g(3)) \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "2199",
"style": "rule"
}
|
{
"index": 8981,
"need_tools_kwargs": true,
"question": "Given the two functions \\( f(x)=x^3+2 \\) and \\( g(x)=3x+4 \\), find \\( f(g(3)) \\).",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Five runners ran a combined total of 285 miles last week. Katarina ran 51 miles, while Adriana ran 74 miles. Tomas, Tyler, and Harriet all ran the same distance. How many miles did Harriet run?",
"role": "user"
}
] |
math
|
{
"ground_truth": "53.33",
"style": "rule"
}
|
{
"index": 8982,
"need_tools_kwargs": true,
"question": "Five runners ran a combined total of 285 miles last week. Katarina ran 51 miles, while Adriana ran 74 miles. Tomas, Tyler, and Harriet all ran the same distance. How many miles did Harriet run?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Are Ultimate Hero and For Richer or Poorer from the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 8983,
"need_tools_kwargs": true,
"question": "Are Ultimate Hero and For Richer or Poorer from the same country?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "There are three video game systems: the Paystation, the WHAT, and the ZBoz2\\(\\pi\\), and none of these systems will play games for the other systems. Uncle Riemann has three nephews: Bernoulli, Galois, and Dirac. Bernoulli owns a Paystation and a WHAT, Galois owns a WHAT and a ZBoz2\\(\\pi\\), and Dirac owns a ZBoz2\\(\\pi\\) and a Paystation. A store sells \\(4\\) different games for the Paystation, \\(6\\) different games for the WHAT, and \\(10\\) different games for the ZBoz2\\(\\pi\\). Uncle Riemann does not understand the difference between the systems, so he walks into the store and buys \\(3\\) random games (not necessarily distinct) and randomly hands them to his nephews. What is the probability that each nephew receives a game he can play? The original answer is in \\(\\frac{k}{m}\\) format, please give the value of \\(k + m\\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "32",
"style": "rule"
}
|
{
"index": 8984,
"need_tools_kwargs": true,
"question": "There are three video game systems: the Paystation, the WHAT, and the ZBoz2\\(\\pi\\), and none of these systems will play games for the other systems. Uncle Riemann has three nephews: Bernoulli, Galois, and Dirac. Bernoulli owns a Paystation and a WHAT, Galois owns a WHAT and a ZBoz2\\(\\pi\\), and Dirac owns a ZBoz2\\(\\pi\\) and a Paystation. A store sells \\(4\\) different games for the Paystation, \\(6\\) different games for the WHAT, and \\(10\\) different games for the ZBoz2\\(\\pi\\). Uncle Riemann does not understand the difference between the systems, so he walks into the store and buys \\(3\\) random games (not necessarily distinct) and randomly hands them to his nephews. What is the probability that each nephew receives a game he can play? The original answer is in \\(\\frac{k}{m}\\) format, please give the value of \\(k + m\\).",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "A rectangle has length $AC = 40$ and width $AE = 25$. Point $B$ is the midpoint of $\\overline{AC}$, making $AB = BC = 20$, but point $F$ is now three-fifths of the way along $\\overline{AE}$ from $A$ to $E$, making $AF = 15$ and $FE = 10$. Find the area of quadrilateral $ABDF$.\nA. 525\n B. 540\n C. 550\n D. 565\n E. 580",
"role": "user"
}
] |
math
|
{
"ground_truth": "C. 550",
"style": "rule"
}
|
{
"index": 8985,
"need_tools_kwargs": true,
"question": "A rectangle has length $AC = 40$ and width $AE = 25$. Point $B$ is the midpoint of $\\overline{AC}$, making $AB = BC = 20$, but point $F$ is now three-fifths of the way along $\\overline{AE}$ from $A$ to $E$, making $AF = 15$ and $FE = 10$. Find the area of quadrilateral $ABDF$.\nA. 525\n B. 540\n C. 550\n D. 565\n E. 580",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Who is the founder of the company that published Foom?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Martin Goodman",
"style": "rule"
}
|
{
"index": 8986,
"need_tools_kwargs": true,
"question": "Who is the founder of the company that published Foom?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "When was Bob Dishy's wife born?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "October 5, 1943",
"style": "rule"
}
|
{
"index": 8987,
"need_tools_kwargs": true,
"question": "When was Bob Dishy's wife born?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Who is the spouse of the performer of song Root Beer Rag?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Alexis Roderick",
"style": "rule"
}
|
{
"index": 8988,
"need_tools_kwargs": true,
"question": "Who is the spouse of the performer of song Root Beer Rag?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the middle name of the former American stock trader who was convicted alongside Michael Milken due to Steven Posner's staged corporate takeover?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Frederick",
"style": "rule"
}
|
{
"index": 8989,
"need_tools_kwargs": true,
"question": "What is the middle name of the former American stock trader who was convicted alongside Michael Milken due to Steven Posner's staged corporate takeover?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "When did the composer of film Ganga (1960 Film) die?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "5 September 1995",
"style": "rule"
}
|
{
"index": 8990,
"need_tools_kwargs": true,
"question": "When did the composer of film Ganga (1960 Film) die?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "In a certain base \\(b\\) (different from \\(10\\)), \\(57_b^2 = 2721_b\\). What is \\(17_b^2\\) in this base? Provide your answer in the form of \\(k_{b}m_{b}n_{b}\\), where \\(k\\), \\(m\\), and \\(n\\) are digits in base \\(b\\). Calculate the value of \\(k + m + n\\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "9",
"style": "rule"
}
|
{
"index": 8991,
"need_tools_kwargs": true,
"question": "In a certain base \\(b\\) (different from \\(10\\)), \\(57_b^2 = 2721_b\\). What is \\(17_b^2\\) in this base? Provide your answer in the form of \\(k_{b}m_{b}n_{b}\\), where \\(k\\), \\(m\\), and \\(n\\) are digits in base \\(b\\). Calculate the value of \\(k + m + n\\).",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Were María Juana Hurtado De Mendoza and Robert Bell (Geologist) of the same nationality?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "no",
"style": "rule"
}
|
{
"index": 8992,
"need_tools_kwargs": true,
"question": "Were María Juana Hurtado De Mendoza and Robert Bell (Geologist) of the same nationality?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What is the name and surname of the person who spotted Lucas Valeriu Ntuba Radebe, the former South African professional footballer, to be recruited by Kaizer Chiefs in 1989?",
"role": "user"
}
] |
qa
|
{
"ground_truth": " Patrick Ntsoelengoe",
"style": "rule"
}
|
{
"index": 8993,
"need_tools_kwargs": true,
"question": "What is the name and surname of the person who spotted Lucas Valeriu Ntuba Radebe, the former South African professional footballer, to be recruited by Kaizer Chiefs in 1989?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "A principal amount of Rs. 6000 is invested at 10% per annum for a certain period, with interest compounded half-yearly. The compound interest earned is Rs. 945.75. What is the duration of the investment in years?",
"role": "user"
}
] |
math
|
{
"ground_truth": "1.52",
"style": "rule"
}
|
{
"index": 8994,
"need_tools_kwargs": true,
"question": "A principal amount of Rs. 6000 is invested at 10% per annum for a certain period, with interest compounded half-yearly. The compound interest earned is Rs. 945.75. What is the duration of the investment in years?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What 2013 American science fiction horror film was scored by Joseph Bishara?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Dark Skies",
"style": "rule"
}
|
{
"index": 8995,
"need_tools_kwargs": true,
"question": "What 2013 American science fiction horror film was scored by Joseph Bishara?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What type of molluscs did the returning restaurants serve after Schultz Preserve was restored in 1995?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "salt-water bivalve",
"style": "rule"
}
|
{
"index": 8996,
"need_tools_kwargs": true,
"question": "What type of molluscs did the returning restaurants serve after Schultz Preserve was restored in 1995?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "A store owner bought 1500 pencils at $0.10$ each. If he sells them for $0.25$ each, how many of them must he sell to make a profit of exactly $100.00$?",
"role": "user"
}
] |
math
|
{
"ground_truth": "1000",
"style": "rule"
}
|
{
"index": 8997,
"need_tools_kwargs": true,
"question": "A store owner bought 1500 pencils at $0.10$ each. If he sells them for $0.25$ each, how many of them must he sell to make a profit of exactly $100.00$?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "Are director of film All Of A Sudden Norma and director of film The Spiders (Film) from the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 8998,
"need_tools_kwargs": true,
"question": "Are director of film All Of A Sudden Norma and director of film The Spiders (Film) from the same country?",
"split": "train"
}
| null |
DR_grpo_mix
|
[
{
"content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.",
"role": "system"
},
{
"content": "What were the month, date, and year when the South Korean Supreme Court legalized conscientious objection as a basis for rejecting compulsory military service?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "November 1, 2018",
"style": "rule"
}
|
{
"index": 8999,
"need_tools_kwargs": true,
"question": "What were the month, date, and year when the South Korean Supreme Court legalized conscientious objection as a basis for rejecting compulsory military service?",
"split": "train"
}
| null |
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