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": " Clark Mountain is a summit in a county with a 2010 population of what?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "107,702",
"style": "rule"
}
|
{
"index": 6900,
"need_tools_kwargs": true,
"question": " Clark Mountain is a summit in a county with a 2010 population of what?",
"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": "Experts and Viewers play \"What? Where? When?\" until one side wins six rounds—the first to win six rounds wins the game. The probability of the Experts winning a single round is 0.6, and there are no ties. Currently, the Experts are losing with a score of $3:4$. Find the probability that the Experts will still win.",
"role": "user"
}
] |
math
|
{
"ground_truth": "0.4752",
"style": "rule"
}
|
{
"index": 6901,
"need_tools_kwargs": true,
"question": "Experts and Viewers play \"What? Where? When?\" until one side wins six rounds—the first to win six rounds wins the game. The probability of the Experts winning a single round is 0.6, and there are no ties. Currently, the Experts are losing with a score of $3:4$. Find the probability that the Experts will still win.",
"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": " Zymer Bytyqi was the youngest to ever play in the Norwegian top league until it was broken by the player from which Dutch club?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "SC Heerenveen",
"style": "rule"
}
|
{
"index": 6902,
"need_tools_kwargs": true,
"question": " Zymer Bytyqi was the youngest to ever play in the Norwegian top league until it was broken by the player from which Dutch club?",
"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": "设数列 $\\left\\{a_{n}\\right\\}$ 满足 $a_{1}=6$, $a_{n+1}=\\left[\\frac{5}{4} a_{n}+\\frac{3}{4} \\sqrt{a_{n}^{2}-2}\\right]\\left(n \\in \\mathbf{Z}_{+}\\right)$.\n若 $S_{n}$ 为 $\\left\\{a_{n}\\right\\}$ 的前 $n$ 项和, 求 $S_{2016}$ 的个位数字。",
"role": "user"
}
] |
math
|
{
"ground_truth": "1",
"style": "rule"
}
|
{
"index": 6903,
"need_tools_kwargs": true,
"question": "设数列 $\\left\\{a_{n}\\right\\}$ 满足 $a_{1}=6$, $a_{n+1}=\\left[\\frac{5}{4} a_{n}+\\frac{3}{4} \\sqrt{a_{n}^{2}-2}\\right]\\left(n \\in \\mathbf{Z}_{+}\\right)$.\n若 $S_{n}$ 为 $\\left\\{a_{n}\\right\\}$ 的前 $n$ 项和, 求 $S_{2016}$ 的个位数字。",
"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 film for which Eric Roberts earned an Academy Award nomination ?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Andrei Konchalovsky",
"style": "rule"
}
|
{
"index": 6904,
"need_tools_kwargs": true,
"question": "Who directed the film for which Eric Roberts earned an Academy Award nomination ?",
"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": "Alan bought a $2000 phone online. John bought it 2% more expensive in a local store. How much did John spend on his phone?",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\$2040",
"style": "rule"
}
|
{
"index": 6905,
"need_tools_kwargs": true,
"question": "Alan bought a $2000 phone online. John bought it 2% more expensive in a local store. How much did John spend on his phone?",
"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 has the director died first, The Crimson Kimono or Guess Who's Coming to Dinner?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "The Crimson Kimono",
"style": "rule"
}
|
{
"index": 6906,
"need_tools_kwargs": true,
"question": "Which film has the director died first, The Crimson Kimono or Guess Who's Coming to Dinner?",
"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": "Positive real numbers \\( u, v, w \\) are not equal to 1. Given that \\( \\log_{u} (vw) + \\log_{v} w = 5 \\) and \\( \\log_{v} u + \\log_{w} v = 3 \\), find the value of \\( \\log_{w} u \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\frac{4}{5}",
"style": "rule"
}
|
{
"index": 6907,
"need_tools_kwargs": true,
"question": "Positive real numbers \\( u, v, w \\) are not equal to 1. Given that \\( \\log_{u} (vw) + \\log_{v} w = 5 \\) and \\( \\log_{v} u + \\log_{w} v = 3 \\), find the value of \\( \\log_{w} u \\).",
"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": "From point $C$, at a distance of $100 \\mathrm{~m}$, we observe the cross at the top of tower $A B$ at an angle $\\alpha$, and from a distance of $250 \\mathrm{~m}$, we observe it at an angle of $\\frac{\\alpha}{2}$. How tall is the tower?",
"role": "user"
}
] |
math
|
{
"ground_truth": "111.8 m",
"style": "rule"
}
|
{
"index": 6908,
"need_tools_kwargs": true,
"question": "From point $C$, at a distance of $100 \\mathrm{~m}$, we observe the cross at the top of tower $A B$ at an angle $\\alpha$, and from a distance of $250 \\mathrm{~m}$, we observe it at an angle of $\\frac{\\alpha}{2}$. How tall is the tower?",
"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": "Define the function $f(x)=8\\sin x-\\tan x$ on the interval $\\left( 0,\\frac{\\pi}{2} \\right)$, find its maximum value.",
"role": "user"
}
] |
math
|
{
"ground_truth": "3 \\sqrt{3}",
"style": "rule"
}
|
{
"index": 6909,
"need_tools_kwargs": true,
"question": "Define the function $f(x)=8\\sin x-\\tan x$ on the interval $\\left( 0,\\frac{\\pi}{2} \\right)$, find its maximum value.",
"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 \\( a \\) be a positive number. Consider the set \\( T \\) of all points whose rectangular coordinates \\( (x, y) \\) satisfy the following conditions:\n1. \\( a \\leq x \\leq 3a \\)\n2. \\( a \\leq y \\leq 3a \\)\n3. \\( x + y \\geq 2a \\)\n4. \\( x + 2a \\geq 2y \\)\n5. \\( y + 2a \\geq 2x \\)\n\nBased on these conditions, determine the number of sides of the polygon that forms the boundary of the set \\( T \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "4",
"style": "rule"
}
|
{
"index": 6910,
"need_tools_kwargs": true,
"question": "Let \\( a \\) be a positive number. Consider the set \\( T \\) of all points whose rectangular coordinates \\( (x, y) \\) satisfy the following conditions:\n1. \\( a \\leq x \\leq 3a \\)\n2. \\( a \\leq y \\leq 3a \\)\n3. \\( x + y \\geq 2a \\)\n4. \\( x + 2a \\geq 2y \\)\n5. \\( y + 2a \\geq 2x \\)\n\nBased on these conditions, determine the number of sides of the polygon that forms the boundary of the set \\( T \\).",
"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 Half Moon Grass does the Royalty class start with in Demon's Souls (2009)?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "4",
"style": "rule"
}
|
{
"index": 6911,
"need_tools_kwargs": true,
"question": "How much Half Moon Grass does the Royalty class start with in Demon's Souls (2009)?",
"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": " Is it correct to state that Tetrapanax is an evergreen shrub as opposed to Hippophae which is a genus of sea buckthorns, a deciduous shrub?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 6912,
"need_tools_kwargs": true,
"question": " Is it correct to state that Tetrapanax is an evergreen shrub as opposed to Hippophae which is a genus of sea buckthorns, a deciduous shrub?",
"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 that $T$ is a regular tetrahedron and that $C$ is the cube whose vertices are the centers of the faces of $T$, find the ratio of the volume of $T$ to that of $C$. Express your answer as a simplified fraction.",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\frac{3\\sqrt{2}}{1}",
"style": "rule"
}
|
{
"index": 6913,
"need_tools_kwargs": true,
"question": "Given that $T$ is a regular tetrahedron and that $C$ is the cube whose vertices are the centers of the faces of $T$, find the ratio of the volume of $T$ to that of $C$. Express your answer as a simplified fraction.",
"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 song that was on an album with State of Grace, was released as a promotional single on September 25,2012?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Begin Again",
"style": "rule"
}
|
{
"index": 6914,
"need_tools_kwargs": true,
"question": "What song that was on an album with State of Grace, was released as a promotional single on September 25,2012?",
"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 has more well known films, Quincy Perkins or Bill Forsyth?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "William David \"Bill\" Forsyth",
"style": "rule"
}
|
{
"index": 6915,
"need_tools_kwargs": true,
"question": "Who has more well known films, Quincy Perkins or Bill Forsyth?",
"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 box contains 5 balls of the same size, including 3 white balls and 2 red balls. Two balls are drawn from the box. \n$(1)$ Find the probability of drawing 1 white ball and 1 red ball. \n$(2)$ Let $X$ represent the number of white balls drawn out of the 2 balls. Find the distribution of $X$.",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\frac{3}{5}",
"style": "rule"
}
|
{
"index": 6916,
"need_tools_kwargs": true,
"question": "A box contains 5 balls of the same size, including 3 white balls and 2 red balls. Two balls are drawn from the box. \n$(1)$ Find the probability of drawing 1 white ball and 1 red ball. \n$(2)$ Let $X$ represent the number of white balls drawn out of the 2 balls. Find the distribution of $X$.",
"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 many years after The Beach Boys group formed, did the group record the hits featured on Live in Sacramento 1964?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "\"Beach Boys Concert\"",
"style": "rule"
}
|
{
"index": 6917,
"need_tools_kwargs": true,
"question": "How many years after The Beach Boys group formed, did the group record the hits featured on Live in Sacramento 1964?",
"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 is the composer of film Udayam Kizhakku Thanne 's birthday?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "10 January 1940",
"style": "rule"
}
|
{
"index": 6918,
"need_tools_kwargs": true,
"question": "When is the composer of film Udayam Kizhakku Thanne 's birthday?",
"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 \\) are chosen independently from specific intervals based on the outcome of flipping a fair coin. If the first coin flip is heads, a second coin flip determines the interval from which \\( x \\) is chosen: if heads again, \\( x \\) is chosen uniformly from the interval \\([0, 0.5]\\); if tails, from \\([0.5, 1]\\). If the first flip is tails, \\( x \\) is chosen uniformly from the interval \\([0, 0.3]\\). The same process is used to choose \\( y \\). Calculate the probability that the absolute difference between \\( x \\) and \\( y \\) is greater than \\( 0.4 \\), i.e., \\( P(|x-y| > 0.4) \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\frac{1}{10}",
"style": "rule"
}
|
{
"index": 6919,
"need_tools_kwargs": true,
"question": "Real numbers \\( x \\) and \\( y \\) are chosen independently from specific intervals based on the outcome of flipping a fair coin. If the first coin flip is heads, a second coin flip determines the interval from which \\( x \\) is chosen: if heads again, \\( x \\) is chosen uniformly from the interval \\([0, 0.5]\\); if tails, from \\([0.5, 1]\\). If the first flip is tails, \\( x \\) is chosen uniformly from the interval \\([0, 0.3]\\). The same process is used to choose \\( y \\). Calculate the probability that the absolute difference between \\( x \\) and \\( y \\) is greater than \\( 0.4 \\), i.e., \\( P(|x-y| > 0.4) \\).",
"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 was released more recently, Committed (Film) or Weekends In Normandy?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Weekends In Normandy",
"style": "rule"
}
|
{
"index": 6920,
"need_tools_kwargs": true,
"question": "Which film was released more recently, Committed (Film) or Weekends In Normandy?",
"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": "Mortimer Wheeler and Tessa Wheeler were both well known for advancement in what profession?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "archaeologist",
"style": "rule"
}
|
{
"index": 6921,
"need_tools_kwargs": true,
"question": "Mortimer Wheeler and Tessa Wheeler were both well known for advancement in what profession?",
"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 composer of song Gretchen Am Spinnrade?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Austrian",
"style": "rule"
}
|
{
"index": 6922,
"need_tools_kwargs": true,
"question": "What nationality is the composer of song Gretchen Am Spinnrade?",
"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 pairs of unequal integers \\( m \\) and \\( n \\) such that \\( m^n = n^m \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "(2, 4), (4, 2), (-2, -4), (-4, -2)",
"style": "rule"
}
|
{
"index": 6923,
"need_tools_kwargs": true,
"question": "Find all pairs of unequal integers \\( m \\) and \\( n \\) such that \\( m^n = n^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": "Where was the place of death of the director of film Aggi Pidugu?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Madras",
"style": "rule"
}
|
{
"index": 6924,
"need_tools_kwargs": true,
"question": "Where was the place of death of the director of film Aggi Pidugu?",
"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 Commissioner is a 1998 Belgian-German drama film directed by George Sluizer, based on the novel of same name by Stanley Patrick Johnson, of West Nethercote, Winsford, Somerset, is a British politician and author, and an expert on environmental and population issues, and was a Conservative MEP for which organization, from 1979 to 1984?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Wight & Hampshire East",
"style": "rule"
}
|
{
"index": 6925,
"need_tools_kwargs": true,
"question": "The Commissioner is a 1998 Belgian-German drama film directed by George Sluizer, based on the novel of same name by Stanley Patrick Johnson, of West Nethercote, Winsford, Somerset, is a British politician and author, and an expert on environmental and population issues, and was a Conservative MEP for which organization, from 1979 to 1984?",
"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 founded a U.S. arms development firm that is best known for an American submachine gun, invented by John T. Thompson in 1918, that became infamous during the Prohibition era?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Colonel John T. Thompson",
"style": "rule"
}
|
{
"index": 6926,
"need_tools_kwargs": true,
"question": "Who founded a U.S. arms development firm that is best known for an American submachine gun, invented by John T. Thompson in 1918, that became infamous during the Prohibition era?",
"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 French author wrote the novel that the 1953 French-Italian film the wages of war was adapted from?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Henri Girard",
"style": "rule"
}
|
{
"index": 6927,
"need_tools_kwargs": true,
"question": "What French author wrote the novel that the 1953 French-Italian film the wages of war was adapted from?",
"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 many stolen vehicles were recovered in Nigeria by the Nigerian Police Force between 2002 and 2004, when Mustafa Adebayo Balogun was Nigeria's Inspector General of Police?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "2,148",
"style": "rule"
}
|
{
"index": 6928,
"need_tools_kwargs": true,
"question": "How many stolen vehicles were recovered in Nigeria by the Nigerian Police Force between 2002 and 2004, when Mustafa Adebayo Balogun was Nigeria's Inspector General of Police?",
"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 four consecutive digits $a$, $b$, $c$ and $d$ are used to form the four-digit numbers $abcd$ and $dcba$. What is the greatest common divisor of all numbers of the form $abcd+dcba$?",
"role": "user"
}
] |
math
|
{
"ground_truth": "1111",
"style": "rule"
}
|
{
"index": 6929,
"need_tools_kwargs": true,
"question": "The four consecutive digits $a$, $b$, $c$ and $d$ are used to form the four-digit numbers $abcd$ and $dcba$. What is the greatest common divisor of all numbers of the form $abcd+dcba$?",
"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 theater was where the 1984 play was first staged which was written by a playwright who received two Pulitzer Prizes for Drama?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "the Eugene O'Neill Theater Center",
"style": "rule"
}
|
{
"index": 6930,
"need_tools_kwargs": true,
"question": "What theater was where the 1984 play was first staged which was written by a playwright who received two Pulitzer Prizes for Drama?",
"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 base of pyramid \\( TABC \\) is a triangle \\( ABC \\) with all sides equal to \\(\\sqrt{3}\\), and the height of the pyramid coincides with the lateral edge \\( TA \\). Find the area of the cross-section of the pyramid by a plane that passes through the center of the circumscribed sphere around the pyramid, forms an angle of \\(60^\\circ\\) with the base plane, intersects the edge \\( AB \\) at point \\( M \\) such that \\( MB = 2AM \\), and intersects the edge \\( BC \\). It is given that the distance from point \\( A \\) to the plane of the cross-section is 0.25.",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\frac{11 \\sqrt{3}}{30}",
"style": "rule"
}
|
{
"index": 6931,
"need_tools_kwargs": true,
"question": "The base of pyramid \\( TABC \\) is a triangle \\( ABC \\) with all sides equal to \\(\\sqrt{3}\\), and the height of the pyramid coincides with the lateral edge \\( TA \\). Find the area of the cross-section of the pyramid by a plane that passes through the center of the circumscribed sphere around the pyramid, forms an angle of \\(60^\\circ\\) with the base plane, intersects the edge \\( AB \\) at point \\( M \\) such that \\( MB = 2AM \\), and intersects the edge \\( BC \\). It is given that the distance from point \\( A \\) to the plane of the cross-section is 0.25.",
"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 supermarket purchases 500 kg of sugar oranges at a cost price of 4.80 yuan per kilogram, with an expected weight loss of 10%. If the supermarket intends to achieve a profit of 20% on the sale of these sugar oranges, what should be the retail price per kilogram?",
"role": "user"
}
] |
math
|
{
"ground_truth": "6.4",
"style": "rule"
}
|
{
"index": 6932,
"need_tools_kwargs": true,
"question": "A supermarket purchases 500 kg of sugar oranges at a cost price of 4.80 yuan per kilogram, with an expected weight loss of 10%. If the supermarket intends to achieve a profit of 20% on the sale of these sugar oranges, what should be the retail price per kilogram?",
"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 villages, Anarjan, Bostanabad and Tareh, located in the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 6933,
"need_tools_kwargs": true,
"question": "Are both villages, Anarjan, Bostanabad and Tareh, 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": "Nine copies of a certain pamphlet cost less than $$ 10.00$ while ten copies of the same pamphlet (at the same price) cost more than $$ 11.00$. How much does one copy of this pamphlet cost?\n$\\text{(A)}$ $$1.07$\n$\\text{(B)}$ $$1.08$\n$\\text{(C)}$ $$1.09$\n$\\text{(D)}$ $$1.10$\n$\\text{(E)}$ $$1.11$",
"role": "user"
}
] |
math
|
{
"ground_truth": "1.11",
"style": "rule"
}
|
{
"index": 6934,
"need_tools_kwargs": true,
"question": "Nine copies of a certain pamphlet cost less than $$ 10.00$ while ten copies of the same pamphlet (at the same price) cost more than $$ 11.00$. How much does one copy of this pamphlet cost?\n$\\text{(A)}$ $$1.07$\n$\\text{(B)}$ $$1.08$\n$\\text{(C)}$ $$1.09$\n$\\text{(D)}$ $$1.10$\n$\\text{(E)}$ $$1.11$",
"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 Gable And Lombard?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Canadian",
"style": "rule"
}
|
{
"index": 6935,
"need_tools_kwargs": true,
"question": "What nationality is the director of film Gable And Lombard?",
"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\n\\[f(x) = (\\arccos x)^3 + (\\arcsin x)^3.\\]Find the range of $f(x).$ All functions are in radians. The original answer is in the form \\left[ \\frac{k \\pi^3}{m}, \\frac{n \\pi^3}{p} \\right]. Please find the value of k + m + n + p.",
"role": "user"
}
] |
math
|
{
"ground_truth": "48",
"style": "rule"
}
|
{
"index": 6936,
"need_tools_kwargs": true,
"question": "Let\n\\[f(x) = (\\arccos x)^3 + (\\arcsin x)^3.\\]Find the range of $f(x).$ All functions are in radians. The original answer is in the form \\left[ \\frac{k \\pi^3}{m}, \\frac{n \\pi^3}{p} \\right]. Please find the value of k + m + n + p.",
"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": "If \\(3(x-5)=3(18-5)\\), then \\(x\\) is\n(A) \\(\\frac{44}{3}\\)\n(B) \\(\\frac{32}{3}\\)\n(C) 9\n(D) 18\n(E) 81",
"role": "user"
}
] |
math
|
{
"ground_truth": "18",
"style": "rule"
}
|
{
"index": 6937,
"need_tools_kwargs": true,
"question": "If \\(3(x-5)=3(18-5)\\), then \\(x\\) is\n(A) \\(\\frac{44}{3}\\)\n(B) \\(\\frac{32}{3}\\)\n(C) 9\n(D) 18\n(E) 81",
"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": "On Joo-wan appeared in the 2008 film directed by whom?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Kwak Jae-yong",
"style": "rule"
}
|
{
"index": 6938,
"need_tools_kwargs": true,
"question": "On Joo-wan appeared in the 2008 film directed by whom?",
"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": "Solve \n\\[\\frac{x^2 - 4x + 3}{(x - 2)^2} < 0.\\]\nEnter your answer using interval notation.",
"role": "user"
}
] |
math
|
{
"ground_truth": "(1, 3)",
"style": "rule"
}
|
{
"index": 6939,
"need_tools_kwargs": true,
"question": "Solve \n\\[\\frac{x^2 - 4x + 3}{(x - 2)^2} < 0.\\]\nEnter your answer using interval notation.",
"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": "Renaissance: Sequential Vol is what by an Argentinian house DJ?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "second release",
"style": "rule"
}
|
{
"index": 6940,
"need_tools_kwargs": true,
"question": "Renaissance: Sequential Vol is what by an Argentinian house DJ?",
"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 American rock band was formed first, Soil or Drowning Pool?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Drowning Pool",
"style": "rule"
}
|
{
"index": 6941,
"need_tools_kwargs": true,
"question": "Which American rock band was formed first, Soil or Drowning Pool?",
"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 triangle $ABC$ with sides $AB = 7$, $AC = 8$, and $BC = 5$, find the value of \n\\[\\frac{\\cos \\frac{A - B}{2}}{\\sin \\frac{C}{2}} - \\frac{\\sin \\frac{A - B}{2}}{\\cos \\frac{C}{2}}.\\]",
"role": "user"
}
] |
math
|
{
"ground_truth": "\\frac{16}{7}",
"style": "rule"
}
|
{
"index": 6942,
"need_tools_kwargs": true,
"question": "Given triangle $ABC$ with sides $AB = 7$, $AC = 8$, and $BC = 5$, find the value of \n\\[\\frac{\\cos \\frac{A - B}{2}}{\\sin \\frac{C}{2}} - \\frac{\\sin \\frac{A - B}{2}}{\\cos \\frac{C}{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": "Let $\\Delta ABC$ be an equilateral triangle. How many squares in the same plane as $\\Delta ABC$ share two vertices with the triangle?",
"role": "user"
}
] |
math
|
{
"ground_truth": "9",
"style": "rule"
}
|
{
"index": 6943,
"need_tools_kwargs": true,
"question": "Let $\\Delta ABC$ be an equilateral triangle. How many squares in the same plane as $\\Delta ABC$ share two vertices with 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 university, founded in 1978, has bases in NJ and a city in Broward County FL?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Ross University School of Medicine",
"style": "rule"
}
|
{
"index": 6944,
"need_tools_kwargs": true,
"question": "What university, founded in 1978, has bases in NJ and a city in Broward County FL?",
"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 Prince Of Pirates die?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Valley Village",
"style": "rule"
}
|
{
"index": 6945,
"need_tools_kwargs": true,
"question": "Where did the director of film Prince Of Pirates 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": "What is the date of birth of the director of film The Metamorphosis Of Mr. Samsa?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "August 12, 1946",
"style": "rule"
}
|
{
"index": 6946,
"need_tools_kwargs": true,
"question": "What is the date of birth of the director of film The Metamorphosis Of Mr. Samsa?",
"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": "关于 $x$ 的方程 $\\sqrt{x+11-6 \\sqrt{x+2}}+\\sqrt{x+27-10 \\sqrt{x+2}}=1$，求该方程实数根的个数。",
"role": "user"
}
] |
math
|
{
"ground_truth": "0",
"style": "rule"
}
|
{
"index": 6947,
"need_tools_kwargs": true,
"question": "关于 $x$ 的方程 $\\sqrt{x+11-6 \\sqrt{x+2}}+\\sqrt{x+27-10 \\sqrt{x+2}}=1$，求该方程实数根的个数。",
"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": "Each factor \\( (13)(14)(15) \\), when expressed in base \\( b \\), equals \\( 2325 \\) in base \\( b \\). Let \\( s = 13 + 14 + 15 \\), expressed in base \\( b \\). Determine the value of \\( s \\) in base \\( b \\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "42",
"style": "rule"
}
|
{
"index": 6948,
"need_tools_kwargs": true,
"question": "Each factor \\( (13)(14)(15) \\), when expressed in base \\( b \\), equals \\( 2325 \\) in base \\( b \\). Let \\( s = 13 + 14 + 15 \\), expressed in base \\( b \\). Determine the value of \\( s \\) in base \\( 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": "Which film has the director who was born later, Tumbledown Ranch In Arizona or Black Market Of Love?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Black Market Of Love",
"style": "rule"
}
|
{
"index": 6949,
"need_tools_kwargs": true,
"question": "Which film has the director who was born later, Tumbledown Ranch In Arizona or Black Market Of Love?",
"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 results of asking 50 students if they participate in music or sports are shown in the Venn diagram. Calculate the percentage of the 50 students who do not participate in music and do not participate in sports.",
"role": "user"
}
] |
math
|
{
"ground_truth": "20\\%",
"style": "rule"
}
|
{
"index": 6950,
"need_tools_kwargs": true,
"question": "The results of asking 50 students if they participate in music or sports are shown in the Venn diagram. Calculate the percentage of the 50 students who do not participate in music and do not participate in sports.",
"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 cause of death of director of film Road Kill (2010 Film)?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "cancer",
"style": "rule"
}
|
{
"index": 6951,
"need_tools_kwargs": true,
"question": "What is the cause of death of director of film Road Kill (2010 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": "What era (years) does the storyline of the novel, Dreamland, take place during?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "1904 to 1911",
"style": "rule"
}
|
{
"index": 6952,
"need_tools_kwargs": true,
"question": "What era (years) does the storyline of the novel, Dreamland, take place during?",
"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 proposition \"There exists $x \\in \\mathbb{R}$ such that $x^{2}+2x+m \\leqslant 0$\" is a false proposition, the range of values for the real number $m$ is $\\_\\_\\_\\_\\_\\_$.",
"role": "user"
}
] |
math
|
{
"ground_truth": "(1, +\\infty)",
"style": "rule"
}
|
{
"index": 6953,
"need_tools_kwargs": true,
"question": "Given the proposition \"There exists $x \\in \\mathbb{R}$ such that $x^{2}+2x+m \\leqslant 0$\" is a false proposition, the range of values for the real number $m$ 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": "For how many integers $n$, for $1 \\leq n \\leq 1000$, is the number $\\frac{1}{2}\\binom{2 n}{n}$ even?",
"role": "user"
}
] |
math
|
{
"ground_truth": "990",
"style": "rule"
}
|
{
"index": 6954,
"need_tools_kwargs": true,
"question": "For how many integers $n$, for $1 \\leq n \\leq 1000$, is the number $\\frac{1}{2}\\binom{2 n}{n}$ even?",
"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 team played the 122nd season of Sooner football and played Auburn in the Sugar Bowl?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "2016 Oklahoma Sooners football team",
"style": "rule"
}
|
{
"index": 6955,
"need_tools_kwargs": true,
"question": "What team played the 122nd season of Sooner football and played Auburn in the Sugar Bowl?",
"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 birthdate of this American actor, model, and director, who played on \"Lost\" and was honored with a Genesis Award?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "December 8, 1978",
"style": "rule"
}
|
{
"index": 6956,
"need_tools_kwargs": true,
"question": "What is the birthdate of this American actor, model, and director, who played on \"Lost\" and was honored with a Genesis Award?",
"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 is Wu Hanyue's husband's birthday?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "November 30, 887",
"style": "rule"
}
|
{
"index": 6957,
"need_tools_kwargs": true,
"question": "When is Wu Hanyue's husband's birthday?",
"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": "If a line is perpendicular to a plane, then this line and the plane form a \"perpendicular line-plane pair\". In a cube, the number of \"perpendicular line-plane pairs\" formed by a line determined by two vertices and a plane containing four vertices is _________.",
"role": "user"
}
] |
math
|
{
"ground_truth": "36",
"style": "rule"
}
|
{
"index": 6958,
"need_tools_kwargs": true,
"question": "If a line is perpendicular to a plane, then this line and the plane form a \"perpendicular line-plane pair\". In a cube, the number of \"perpendicular line-plane pairs\" formed by a line determined by two vertices and a plane containing four vertices 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": "Which magazine came out first, On Dit or Prospect (Magazine)?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "On Dit",
"style": "rule"
}
|
{
"index": 6959,
"need_tools_kwargs": true,
"question": "Which magazine came out first, On Dit or Prospect (Magazine)?",
"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": "For which role did the star of the reality tv show Girl Friday win two BAFTA Awards ?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Patsy Stone",
"style": "rule"
}
|
{
"index": 6960,
"need_tools_kwargs": true,
"question": "For which role did the star of the reality tv show Girl Friday win two BAFTA Awards ?",
"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": "Xiaohong drives to a place to attend a meeting. 30 minutes after departure, due to traffic congestion, there was a delay of 25 minutes. In order to arrive at the meeting venue on time, Xiaohong increased her speed by 25%. Eventually, she arrived at the meeting venue on time. It took Xiaohong a total of minutes from departure to the meeting venue.",
"role": "user"
}
] |
math
|
{
"ground_truth": "155",
"style": "rule"
}
|
{
"index": 6961,
"need_tools_kwargs": true,
"question": "Xiaohong drives to a place to attend a meeting. 30 minutes after departure, due to traffic congestion, there was a delay of 25 minutes. In order to arrive at the meeting venue on time, Xiaohong increased her speed by 25%. Eventually, she arrived at the meeting venue on time. It took Xiaohong a total of minutes from departure to the meeting venue.",
"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 Det Kære Legetøj?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "9 February 2014",
"style": "rule"
}
|
{
"index": 6962,
"need_tools_kwargs": true,
"question": "What is the date of death of the director of film Det Kære Legetøj?",
"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 released their fourth studio album on July 3, 2012, and a song from his 2012 EP on August 29, 2011?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Flo Rida",
"style": "rule"
}
|
{
"index": 6963,
"need_tools_kwargs": true,
"question": "Who released their fourth studio album on July 3, 2012, and a song from his 2012 EP on August 29, 2011?",
"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 high schools, Central Islip Senior High School and Wonderview High School, located in the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 6964,
"need_tools_kwargs": true,
"question": "Are both high schools, Central Islip Senior High School and Wonderview High School, 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": "A neighbor bought a certain quantity of beef at two shillings a pound, and the same quantity of sausages at eighteenpence a pound. If she had divided the same money equally between beef and sausages, she would have gained two pounds in the total weight. Determine the exact amount of money she spent.",
"role": "user"
}
] |
math
|
{
"ground_truth": "168",
"style": "rule"
}
|
{
"index": 6965,
"need_tools_kwargs": true,
"question": "A neighbor bought a certain quantity of beef at two shillings a pound, and the same quantity of sausages at eighteenpence a pound. If she had divided the same money equally between beef and sausages, she would have gained two pounds in the total weight. Determine the exact amount of money she spent.",
"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": "Did Tero Saviniemi and J. M. Johnson share the same nationality?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "no",
"style": "rule"
}
|
{
"index": 6966,
"need_tools_kwargs": true,
"question": "Did Tero Saviniemi and J. M. Johnson share 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": "Determine the complex number $z$ satisfying the equation $2z-3\\bar{z}=-2-30i$. Note that $\\bar{z}$ denotes the conjugate of $z$.",
"role": "user"
}
] |
math
|
{
"ground_truth": "2-6i",
"style": "rule"
}
|
{
"index": 6967,
"need_tools_kwargs": true,
"question": "Determine the complex number $z$ satisfying the equation $2z-3\\bar{z}=-2-30i$. Note that $\\bar{z}$ denotes the conjugate of $z$.",
"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 documentary Ellen Kuzwayo was involved in with Betty Wolpert in 1982?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Awake from Mourning",
"style": "rule"
}
|
{
"index": 6968,
"need_tools_kwargs": true,
"question": "What is the name of the documentary Ellen Kuzwayo was involved in with Betty Wolpert in 1982?",
"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 $(x - 1)^6 = a_0x^6 + a_1x^5 + \\ldots + a_6$, then $a_0 + a_2 + a_4 + a_6 = \\_\\_\\_\\_\\_$.",
"role": "user"
}
] |
math
|
{
"ground_truth": "0",
"style": "rule"
}
|
{
"index": 6969,
"need_tools_kwargs": true,
"question": "Let $(x - 1)^6 = a_0x^6 + a_1x^5 + \\ldots + a_6$, then $a_0 + a_2 + a_4 + a_6 = \\_\\_\\_\\_\\_$.",
"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": "Where was the place of burial of the director of film The Victory Of Faith?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Munich Waldfriedhof",
"style": "rule"
}
|
{
"index": 6970,
"need_tools_kwargs": true,
"question": "Where was the place of burial of the director of film The Victory Of Faith?",
"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 7 Khoon Maaf and director of film Aana Valarthiya Vanampadi from the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 6971,
"need_tools_kwargs": true,
"question": "Are both director of film 7 Khoon Maaf and director of film Aana Valarthiya Vanampadi 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": "A cube with a volume of 1 cubic foot is trimmed into three slices by making two cuts parallel to the top face. The first cut is located $\\frac{1}{4}$ foot from the top face, and the second cut is $\\frac{1}{6}$ foot below the first cut. The resulting pieces from top to bottom are labeled as A, B, and C, and then these slices are rearranged side by side horizontally. Calculate the total surface area of this new arrangement in square feet.",
"role": "user"
}
] |
math
|
{
"ground_truth": "10",
"style": "rule"
}
|
{
"index": 6972,
"need_tools_kwargs": true,
"question": "A cube with a volume of 1 cubic foot is trimmed into three slices by making two cuts parallel to the top face. The first cut is located $\\frac{1}{4}$ foot from the top face, and the second cut is $\\frac{1}{6}$ foot below the first cut. The resulting pieces from top to bottom are labeled as A, B, and C, and then these slices are rearranged side by side horizontally. Calculate the total surface area of this new arrangement in square feet.",
"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 does the McMahon Services produce in Dry Creek, South Australia?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "salt crystallisation",
"style": "rule"
}
|
{
"index": 6973,
"need_tools_kwargs": true,
"question": "What does the McMahon Services produce in Dry Creek, South Australia?",
"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": "Inside an equilateral triangle \\(ABC\\), points \\(P\\) and \\(Q\\) are chosen such that \\(P\\) is inside triangle \\(AQB\\), \\(PQ = QC\\), and \\(\\angle PAQ = \\angle PBQ = 30^\\circ\\). Find \\(\\angle AQB\\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "90",
"style": "rule"
}
|
{
"index": 6974,
"need_tools_kwargs": true,
"question": "Inside an equilateral triangle \\(ABC\\), points \\(P\\) and \\(Q\\) are chosen such that \\(P\\) is inside triangle \\(AQB\\), \\(PQ = QC\\), and \\(\\angle PAQ = \\angle PBQ = 30^\\circ\\). Find \\(\\angle AQB\\).",
"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": "Name the person who was appointed Vice-Chancellor of Indira Gandhi National Open University, New Delhi, in 2012.",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Gopinath Pradhan",
"style": "rule"
}
|
{
"index": 6975,
"need_tools_kwargs": true,
"question": "Name the person who was appointed Vice-Chancellor of Indira Gandhi National Open University, New Delhi, in 2012.",
"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 How to Make It in America star also starred in a movie with Uma Thurman?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Bryan Greenberg",
"style": "rule"
}
|
{
"index": 6976,
"need_tools_kwargs": true,
"question": "What How to Make It in America star also starred in a movie with Uma Thurman?",
"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 the complex number $z$ such that\n\\[ |z - 2| = |z + 4| = |z - 3i|. \\]",
"role": "user"
}
] |
math
|
{
"ground_truth": "-3 + 3i",
"style": "rule"
}
|
{
"index": 6977,
"need_tools_kwargs": true,
"question": "Find the complex number $z$ such that\n\\[ |z - 2| = |z + 4| = |z - 3i|. \\]",
"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 Indian actress got her start in modelling going on to a play a featured character in a 2015 Telugu action crime film that was heavily inspired by what British series?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Hustle",
"style": "rule"
}
|
{
"index": 6978,
"need_tools_kwargs": true,
"question": "An Indian actress got her start in modelling going on to a play a featured character in a 2015 Telugu action crime film that was heavily inspired by what British series?",
"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": "If a number is randomly selected from the interval $(0, \\frac{1}{2})$, then the probability that the number is less than $\\frac{1}{3}$ is:\n\nA: $\\frac{3}{4}$\n\nB: $\\frac{2}{3}$\n\nC: $\\frac{1}{3}$\n\nD: $\\frac{1}{6}$",
"role": "user"
}
] |
math
|
{
"ground_truth": "B: \\frac{2}{3}",
"style": "rule"
}
|
{
"index": 6979,
"need_tools_kwargs": true,
"question": "If a number is randomly selected from the interval $(0, \\frac{1}{2})$, then the probability that the number is less than $\\frac{1}{3}$ is:\n\nA: $\\frac{3}{4}$\n\nB: $\\frac{2}{3}$\n\nC: $\\frac{1}{3}$\n\nD: $\\frac{1}{6}$",
"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": "Which pizza shop was created by a company merger, Papa Murphy's or Hungry Howie's Pizza?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "It began in 1995 as the merger of two take-and-bake pizza companies: Papa Aldo's Pizza (founded in 1981) and Murphy's Pizza (founded in 1981).",
"style": "rule"
}
|
{
"index": 6980,
"need_tools_kwargs": true,
"question": "Which pizza shop was created by a company merger, Papa Murphy's or Hungry Howie's Pizza?",
"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 season did the Rams finished the regular-season with a record of 13–3, and the NFC West Championship and had a offensive coordinator behind the St. Louis Rams high-powered offence of that season?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "1999 St. Louis Rams season",
"style": "rule"
}
|
{
"index": 6981,
"need_tools_kwargs": true,
"question": "What season did the Rams finished the regular-season with a record of 13–3, and the NFC West Championship and had a offensive coordinator behind the St. Louis Rams high-powered offence of that season?",
"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 expression\n\\[a(b - c)^2 + b(c - a)^2 + c(a - b)^2\\]\ncan be factored into the form $(a - b)(b - c)(c - a) q(a,b,c)$. Find $q(a, b, c)$.",
"role": "user"
}
] |
math
|
{
"ground_truth": "1",
"style": "rule"
}
|
{
"index": 6982,
"need_tools_kwargs": true,
"question": "The expression\n\\[a(b - c)^2 + b(c - a)^2 + c(a - b)^2\\]\ncan be factored into the form $(a - b)(b - c)(c - a) q(a,b,c)$. Find $q(a, b, c)$.",
"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": "Was Werner Pfirter or George Barraud born first?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "George Barraud",
"style": "rule"
}
|
{
"index": 6983,
"need_tools_kwargs": true,
"question": "Was Werner Pfirter or George Barraud born first?",
"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 $P(x)$ be the unique polynomial of minimal degree with the following properties: \n$P(x)$ has a leading coefficient $1$, \n$1$ is a root of $P(x)-1$, \n$2$ is a root of $P(x-2)$, \n$3$ is a root of $P(3x)$, and \n$4$ is a root of $4P(x)$. \nThe roots of $P(x)$ are integers, with one exception. The root that is not an integer can be written as $\\frac{m}{n}$, where $m$ and $n$ are relatively prime integers. Find $m+n$.",
"role": "user"
}
] |
math
|
{
"ground_truth": "47",
"style": "rule"
}
|
{
"index": 6984,
"need_tools_kwargs": true,
"question": "Let $P(x)$ be the unique polynomial of minimal degree with the following properties: \n$P(x)$ has a leading coefficient $1$, \n$1$ is a root of $P(x)-1$, \n$2$ is a root of $P(x-2)$, \n$3$ is a root of $P(3x)$, and \n$4$ is a root of $4P(x)$. \nThe roots of $P(x)$ are integers, with one exception. The root that is not an integer can be written as $\\frac{m}{n}$, where $m$ and $n$ are relatively prime integers. Find $m+n$.",
"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": "给定正实数 $a, b, a<b$. 设 $x_{1}, x_{2}, \\cdots, x_{2022} \\in[a, b]$,求 \n$$ \n\\frac{\\left|x_{1}-x_{2}\\right|+\\left|x_{2}-x_{3}\\right|+\\cdots+\\left|x_{2021}-x_{2022}\\right|+\\left|x_{2022}-x_{1}\\right|}{x_{1}+x_{2}+\\cdots+x_{2022}} \n$$ \n的最大值。原始答案为$\\frac{m(b-a)}{a+b}$的格式，请给出$m$的值。",
"role": "user"
}
] |
math
|
{
"ground_truth": "2",
"style": "rule"
}
|
{
"index": 6985,
"need_tools_kwargs": true,
"question": "给定正实数 $a, b, a<b$. 设 $x_{1}, x_{2}, \\cdots, x_{2022} \\in[a, b]$,求 \n$$ \n\\frac{\\left|x_{1}-x_{2}\\right|+\\left|x_{2}-x_{3}\\right|+\\cdots+\\left|x_{2021}-x_{2022}\\right|+\\left|x_{2022}-x_{1}\\right|}{x_{1}+x_{2}+\\cdots+x_{2022}} \n$$ \n的最大值。原始答案为$\\frac{m(b-a)}{a+b}$的格式，请给出$m$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": "Find the sum of all integer values of \\(a\\) belonging to the interval \\([-10, 10]\\), for each of which the inequality \\(5 \\leq x \\leq 10\\) implies the inequality \\(a x + 3a^{2} - 12a + 12 > a^{2} \\sqrt{x-1}\\).",
"role": "user"
}
] |
math
|
{
"ground_truth": "-47",
"style": "rule"
}
|
{
"index": 6986,
"need_tools_kwargs": true,
"question": "Find the sum of all integer values of \\(a\\) belonging to the interval \\([-10, 10]\\), for each of which the inequality \\(5 \\leq x \\leq 10\\) implies the inequality \\(a x + 3a^{2} - 12a + 12 > a^{2} \\sqrt{x-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": "How many decades did the career of the American actor, who starred in \"The Happy Ending,\" span?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "six",
"style": "rule"
}
|
{
"index": 6987,
"need_tools_kwargs": true,
"question": "How many decades did the career of the American actor, who starred in \"The Happy Ending,\" span?",
"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 base of the quadrilateral prism $A B C D A_{1} B_{1} C_{1} D_{1}$ is a rhombus $A B C D$, where $B D=3$ and $\\angle A D C=60^{\\circ}$. A sphere passes through the vertices $D, C, B, B_{1}, A_{1}, D_{1}$.\n\na) Find the area of the circle obtained in the cross-section of the sphere by the plane passing through the points $A_{1}, C_{1}$, and $D_{1}$.\n\nb) Find the angle $B_{1} C_{1} A$.\n\nc) It is additionally known that the radius of the sphere is 2. Find the volume of the prism.",
"role": "user"
}
] |
math
|
{
"ground_truth": "3\\sqrt{3}",
"style": "rule"
}
|
{
"index": 6988,
"need_tools_kwargs": true,
"question": "The base of the quadrilateral prism $A B C D A_{1} B_{1} C_{1} D_{1}$ is a rhombus $A B C D$, where $B D=3$ and $\\angle A D C=60^{\\circ}$. A sphere passes through the vertices $D, C, B, B_{1}, A_{1}, D_{1}$.\n\na) Find the area of the circle obtained in the cross-section of the sphere by the plane passing through the points $A_{1}, C_{1}$, and $D_{1}$.\n\nb) Find the angle $B_{1} C_{1} A$.\n\nc) It is additionally known that the radius of the sphere is 2. Find the volume of the prism.",
"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 1991–92 NBA season was the Hawks' 43rd season in the National Basketball Association, and 24th season in Atlanta, with a 22–20 record in late January, which American retired professional basketball player who primarily played for the Atlanta Hawks, ruptured his achilles tendon and was out for the remainder of the season?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Jacques Dominique Wilkins",
"style": "rule"
}
|
{
"index": 6989,
"need_tools_kwargs": true,
"question": "The 1991–92 NBA season was the Hawks' 43rd season in the National Basketball Association, and 24th season in Atlanta, with a 22–20 record in late January, which American retired professional basketball player who primarily played for the Atlanta Hawks, ruptured his achilles tendon and was out for the remainder of the season?",
"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": "给定一个正整数 \\( n \\)，如果一个有限的正整数序列 \\( a_{1}, a_{2}, \\cdots, a_{m} \\) 满足以下条件，则称其为“n-偶数列”：\n\n- \\( n = a_{1} + a_{2} + \\cdots + a_{m} \\)；\n- 满足 \\(1 \\leqslant i < j \\leqslant m\\) 且 \\(a_{i} > a_{j}\\) 的整数对 \\((i, j)\\) 的数量是偶数。\n\n请给出当 \\( n = 4 \\) 时，满足条件的“4-偶数列”的数量。",
"role": "user"
}
] |
math
|
{
"ground_truth": "6",
"style": "rule"
}
|
{
"index": 6990,
"need_tools_kwargs": true,
"question": "给定一个正整数 \\( n \\)，如果一个有限的正整数序列 \\( a_{1}, a_{2}, \\cdots, a_{m} \\) 满足以下条件，则称其为“n-偶数列”：\n\n- \\( n = a_{1} + a_{2} + \\cdots + a_{m} \\)；\n- 满足 \\(1 \\leqslant i < j \\leqslant m\\) 且 \\(a_{i} > a_{j}\\) 的整数对 \\((i, j)\\) 的数量是偶数。\n\n请给出当 \\( n = 4 \\) 时，满足条件的“4-偶数列”的数量。",
"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 is Riccardo Schicchi's wife's birthday?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "2 November 1972",
"style": "rule"
}
|
{
"index": 6991,
"need_tools_kwargs": true,
"question": "When is Riccardo Schicchi's wife's birthday?",
"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 wrote a novel with a title named after a road to the city where Abbie Cornett was born?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Robert Ludlum",
"style": "rule"
}
|
{
"index": 6992,
"need_tools_kwargs": true,
"question": "Who wrote a novel with a title named after a road to the city where Abbie Cornett 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": "Which cartoon premiering on May 26, 2013 features Liam O'Brien as a voice actor.",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Avengers Assemble",
"style": "rule"
}
|
{
"index": 6993,
"need_tools_kwargs": true,
"question": "Which cartoon premiering on May 26, 2013 features Liam O'Brien as a voice actor.",
"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 was the creator of Heading Out born?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "East Dulwich, south London",
"style": "rule"
}
|
{
"index": 6994,
"need_tools_kwargs": true,
"question": "Where was the creator of Heading Out 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": "Given that $α$ is an obtuse angle, if $\\sin (α- \\frac{3π}{4})= \\frac{3}{5}$, find $\\cos (α+ \\frac{π}{4})=\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_.$",
"role": "user"
}
] |
math
|
{
"ground_truth": "- \\frac{4}{5}",
"style": "rule"
}
|
{
"index": 6995,
"need_tools_kwargs": true,
"question": "Given that $α$ is an obtuse angle, if $\\sin (α- \\frac{3π}{4})= \\frac{3}{5}$, find $\\cos (α+ \\frac{π}{4})=\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_\\_.$",
"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 From Zero to I Love You and director of film The Midnight Story both from the same country?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "yes",
"style": "rule"
}
|
{
"index": 6996,
"need_tools_kwargs": true,
"question": "Are director of film From Zero to I Love You and director of film The Midnight Story both 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": "Thomas married Elizabeth, the widow of John Stewart, 2nd Earl of Buchan, was the daughter of which Scottish nobleman and warlord?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Archibald Douglas, 4th Earl of Douglas",
"style": "rule"
}
|
{
"index": 6997,
"need_tools_kwargs": true,
"question": "Thomas married Elizabeth, the widow of John Stewart, 2nd Earl of Buchan, was the daughter of which Scottish nobleman and warlord?",
"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 was the director of film Dopey Dicks born?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "Chicago",
"style": "rule"
}
|
{
"index": 6998,
"need_tools_kwargs": true,
"question": "Where was the director of film Dopey Dicks 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": "What do Sergei Bondarchuk and James Cruze have in common?",
"role": "user"
}
] |
qa
|
{
"ground_truth": "was a silent film actor and film director",
"style": "rule"
}
|
{
"index": 6999,
"need_tools_kwargs": true,
"question": "What do Sergei Bondarchuk and James Cruze have in common?",
"split": "train"
}
| null |
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