Split (2)

train · 10k rows

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": "Who produced a 1987 Virgin Records album with the help of a film director born January 20, 1946?", "role": "user" } ]	qa	{ "ground_truth": "Orbison with T Bone Burnett", "style": "rule" }	{ "index": 2800, "need_tools_kwargs": true, "question": "Who produced a 1987 Virgin Records album with the help of a film director born January 20, 1946?", "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": "Men at Work: The Craft of Baseball was written by what American conservative political commentator who writes regular columns for The Washington Post?", "role": "user" } ]	qa	{ "ground_truth": "George Frederick Will", "style": "rule" }	{ "index": 2801, "need_tools_kwargs": true, "question": "Men at Work: The Craft of Baseball was written by what American conservative political commentator who writes regular columns for The Washington Post?", "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 died earlier, Classe Tous Risques or The Devil Probably?", "role": "user" } ]	qa	{ "ground_truth": "The Devil Probably", "style": "rule" }	{ "index": 2802, "need_tools_kwargs": true, "question": "Which film has the director who died earlier, Classe Tous Risques or The Devil Probably?", "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": "Agent Hannah Wells in the ABC political drama stared in the film adaptation of who's debut novel published in 2011? ", "role": "user" } ]	qa	{ "ground_truth": "Veronica Roth", "style": "rule" }	{ "index": 2803, "need_tools_kwargs": true, "question": "Agent Hannah Wells in the ABC political drama stared in the film adaptation of who's debut novel published in 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": "Seven people stand in a row. (Write out the necessary process, and use numbers for the answers) \n(1) How many ways can person A and person B stand next to each other? \n(2) How many ways can person A and person B stand not next to each other? \n(3) How many ways can person A, person B, and person C stand so that no two of them are next to each other? \n(4) How many ways can person A, person B, and person C stand so that at most two of them are not next to each other?", "role": "user" } ]	math	{ "ground_truth": "4320", "style": "rule" }	{ "index": 2804, "need_tools_kwargs": true, "question": "Seven people stand in a row. (Write out the necessary process, and use numbers for the answers) \n(1) How many ways can person A and person B stand next to each other? \n(2) How many ways can person A and person B stand not next to each other? \n(3) How many ways can person A, person B, and person C stand so that no two of them are next to each other? \n(4) How many ways can person A, person B, and person C stand so that at most two of them are not next to each other?", "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": "Simplify the expression $x - 2(1+x) + 3(1-x) - 4(1+2x)$.", "role": "user" } ]	math	{ "ground_truth": "-12x -3", "style": "rule" }	{ "index": 2805, "need_tools_kwargs": true, "question": "Simplify the expression $x - 2(1+x) + 3(1-x) - 4(1+2x)$.", "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 triangle $\\triangle ABC$ satisfies $AB = 13$ , $BC = 14$ , and $AC = 15$ . Inside $\\triangle ABC$ are three points $X$ , $Y$ , and $Z$ such that:\n\n\n\n- $Y$ is the centroid of $\\triangle ABX$\n- $Z$ is the centroid of $\\triangle BCY$\n- $X$ is the centroid of $\\triangle CAZ$\n\n\n What is the area of $\\triangle XYZ$ ?\n\nProposed by Adam Bertelli", "role": "user" } ]	math	{ "ground_truth": "\\frac{84}{13}", "style": "rule" }	{ "index": 2806, "need_tools_kwargs": true, "question": "A triangle $\\triangle ABC$ satisfies $AB = 13$ , $BC = 14$ , and $AC = 15$ . Inside $\\triangle ABC$ are three points $X$ , $Y$ , and $Z$ such that:\n\n\n\n- $Y$ is the centroid of $\\triangle ABX$\n- $Z$ is the centroid of $\\triangle BCY$\n- $X$ is the centroid of $\\triangle CAZ$\n\n\n What is the area of $\\triangle XYZ$ ?\n\nProposed by Adam Bertelli", "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 is the company head quarters that makes the GU230 mobile phone?", "role": "user" } ]	qa	{ "ground_truth": "Yeouido-dong, Seoul, South Korea,", "style": "rule" }	{ "index": 2807, "need_tools_kwargs": true, "question": "Where is the company head quarters that makes the GU230 mobile 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": "When is the director of film Pension Mimosas 's birthday?", "role": "user" } ]	qa	{ "ground_truth": "21 July 1885", "style": "rule" }	{ "index": 2808, "need_tools_kwargs": true, "question": "When is the director of film Pension Mimosas '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": "Which nationality is the UFC fighter who defeated Josh Haynes in \"The Ultimate Fighter\"?", "role": "user" } ]	qa	{ "ground_truth": "English", "style": "rule" }	{ "index": 2809, "need_tools_kwargs": true, "question": "Which nationality is the UFC fighter who defeated Josh Haynes in \"The Ultimate Fighter\"?", "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 choir collaborated on a mix tape that was produced among others by the group The Social Experiment and that featured the song \"Angels\"?", "role": "user" } ]	qa	{ "ground_truth": "Chicago Children's Choir", "style": "rule" }	{ "index": 2810, "need_tools_kwargs": true, "question": "Which choir collaborated on a mix tape that was produced among others by the group The Social Experiment and that featured the song \"Angels\"?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "There were cars and motorcycles parked. Motorcycles with sidecars were twice as few as those without sidecars. What could be the maximum number of cars if there were a total of $115$ wheels from these cars and motorcycles?", "role": "user" } ]	math	{ "ground_truth": "27", "style": "rule" }	{ "index": 2811, "need_tools_kwargs": true, "question": "There were cars and motorcycles parked. Motorcycles with sidecars were twice as few as those without sidecars. What could be the maximum number of cars if there were a total of $115$ wheels from these cars and motorcycles?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "What was the name that the service was first developed under that Nine Inch Nails exclusively released it's Remix 2014 EP on?", "role": "user" } ]	qa	{ "ground_truth": "Daisy", "style": "rule" }	{ "index": 2812, "need_tools_kwargs": true, "question": "What was the name that the service was first developed under that Nine Inch Nails exclusively released it's Remix 2014 EP on?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "The Belton Estate is a novel by an English novelist of the Victorian era, whose best known works are a series of novels that are collectively known as what?", "role": "user" } ]	qa	{ "ground_truth": "Chronicles of Barsetshire", "style": "rule" }	{ "index": 2813, "need_tools_kwargs": true, "question": "The Belton Estate is a novel by an English novelist of the Victorian era, whose best known works are a series of novels that are collectively known as 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": "When was Commissioner of Epic Poker League born?", "role": "user" } ]	qa	{ "ground_truth": "September 13, 1965", "style": "rule" }	{ "index": 2814, "need_tools_kwargs": true, "question": "When was Commissioner of Epic Poker League 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": "设 $x_{1}, x_{2}, \\cdots, x_{n} \\in \\mathbf{R}, a=\\frac{x_{1}+x_{2}+\\cdots+x_{n}}{n}\\left(n \\in \\mathbf{N}^{*}\\right), S_{n}=\\left(x_{1}-a\\right)\\left(x_{2}-a\\right)+$ $\\left(x_{2}-a\\right)\\left(x_{3}-a\\right)+\\cdots+\\left(x_{n-1}-a\\right)\\left(x_{n}-a\\right)+\\left(x_{n}-a\\right)\\left(x_{1}-a\\right)$.\n若 $S_{5}<0$, 求出 $x_{1}, x_{2}, x_{3}, x_{4}, x_{5}$ 不符合此的一个条件。假设答案的形式为 $x_{1}=ax_{2}, x_{4}=bx_{3}-cx_{1}, x_{5}=dx_{3}$，请给出 $a+b+c+d$ 的值。", "role": "user" } ]	math	{ "ground_truth": "7", "style": "rule" }	{ "index": 2815, "need_tools_kwargs": true, "question": "设 $x_{1}, x_{2}, \\cdots, x_{n} \\in \\mathbf{R}, a=\\frac{x_{1}+x_{2}+\\cdots+x_{n}}{n}\\left(n \\in \\mathbf{N}^{*}\\right), S_{n}=\\left(x_{1}-a\\right)\\left(x_{2}-a\\right)+$ $\\left(x_{2}-a\\right)\\left(x_{3}-a\\right)+\\cdots+\\left(x_{n-1}-a\\right)\\left(x_{n}-a\\right)+\\left(x_{n}-a\\right)\\left(x_{1}-a\\right)$.\n若 $S_{5}<0$, 求出 $x_{1}, x_{2}, x_{3}, x_{4}, x_{5}$ 不符合此的一个条件。假设答案的形式为 $x_{1}=ax_{2}, x_{4}=bx_{3}-cx_{1}, x_{5}=dx_{3}$，请给出 $a+b+c+d$ 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": "Aaron Heal is a cricketer who took over as spinner from left-arm wrist spin bowler, and a lower-order left-handed batsman, born on what day?", "role": "user" } ]	qa	{ "ground_truth": "6 February 1971", "style": "rule" }	{ "index": 2816, "need_tools_kwargs": true, "question": "Aaron Heal is a cricketer who took over as spinner from left-arm wrist spin bowler, and a lower-order left-handed batsman, born on what day?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "If \$ p \$ is a constant such that \$ 9x^2 + 24x + p \$ is the square of a binomial, then what is \$ p \$?", "role": "user" } ]	math	{ "ground_truth": "p = 16", "style": "rule" }	{ "index": 2817, "need_tools_kwargs": true, "question": "If \$ p \$ is a constant such that \$ 9x^2 + 24x + p \$ is the square of a binomial, then what is \$ 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": "Where was the place of death of the director of film The Malpas Mystery?", "role": "user" } ]	qa	{ "ground_truth": "Altea", "style": "rule" }	{ "index": 2818, "need_tools_kwargs": true, "question": "Where was the place of death of the director of film The Malpas Mystery?", "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 The Girl From Jones Beach?", "role": "user" } ]	qa	{ "ground_truth": "Hollywood", "style": "rule" }	{ "index": 2819, "need_tools_kwargs": true, "question": "Where was the place of death of the director of film The Girl From Jones Beach?", "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 on loan Villarreal Striker is known for wearing the Nike Mercurial Vapor?", "role": "user" } ]	qa	{ "ground_truth": "Carlos Arturo Bacca Ahumada", "style": "rule" }	{ "index": 2820, "need_tools_kwargs": true, "question": "What on loan Villarreal Striker is known for wearing the Nike Mercurial Vapor?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "When did the director of film We'Re Going To Be Rich die?", "role": "user" } ]	qa	{ "ground_truth": "7 January 1950", "style": "rule" }	{ "index": 2821, "need_tools_kwargs": true, "question": "When did the director of film We'Re Going To Be Rich 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": "When did the director of film Afrika (Film) die?", "role": "user" } ]	qa	{ "ground_truth": "12 November 1997", "style": "rule" }	{ "index": 2822, "need_tools_kwargs": true, "question": "When did the director of film Afrika (Film) die?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "The principal of a school plans to lead the city-level \"Outstanding Students\" to Beijing for a trip during the summer vacation. Travel Agency A says, \"If the principal buys a full-price ticket, the rest of the students can enjoy a half-price discount.\" Travel Agency B says, \"Including the principal, everyone will enjoy a 40% discount off the full ticket price (i.e., charged at 60% of the full ticket price).\" If the full ticket price is 240 yuan. \n(Ⅰ) Let the number of students be $x$, the charge by Travel Agency A be $y_{\\text{甲}}$, and the charge by Travel Agency B be $y_{\\text{乙}}$, calculate the charges by the two travel agencies respectively (establish the expressions); \n(Ⅱ) When the number of students is what, the charges by the two travel agencies are the same; \n(Ⅲ) Discuss which travel agency is more cost-effective based on the number of students $x$.", "role": "user" } ]	math	{ "ground_truth": "4", "style": "rule" }	{ "index": 2823, "need_tools_kwargs": true, "question": "The principal of a school plans to lead the city-level \"Outstanding Students\" to Beijing for a trip during the summer vacation. Travel Agency A says, \"If the principal buys a full-price ticket, the rest of the students can enjoy a half-price discount.\" Travel Agency B says, \"Including the principal, everyone will enjoy a 40% discount off the full ticket price (i.e., charged at 60% of the full ticket price).\" If the full ticket price is 240 yuan. \n(Ⅰ) Let the number of students be $x$, the charge by Travel Agency A be $y_{\\text{甲}}$, and the charge by Travel Agency B be $y_{\\text{乙}}$, calculate the charges by the two travel agencies respectively (establish the expressions); \n(Ⅱ) When the number of students is what, the charges by the two travel agencies are the same; \n(Ⅲ) Discuss which travel agency is more cost-effective based on the number of students $x$.", "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": "Which philosophy is associated with the French philosopher, known for his play, which later became a film directed by Vittorio De Sica?", "role": "user" } ]	qa	{ "ground_truth": "the philosophy of existentialism", "style": "rule" }	{ "index": 2824, "need_tools_kwargs": true, "question": "Which philosophy is associated with the French philosopher, known for his play, which later became a film directed by Vittorio De Sica?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "What was the title of the debut studio album of the singer who won new artist of the year during the 2012 American Country Awards?", "role": "user" } ]	qa	{ "ground_truth": "Wildflower", "style": "rule" }	{ "index": 2825, "need_tools_kwargs": true, "question": "What was the title of the debut studio album of the singer who won new artist of the year during the 2012 American Country 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": "Given the quadratic equation \$ 2x^2 + 5xy + 3y^2 = 30 \$, and knowing that \$(x, y) = (9, -4)\$ is one of its integer solutions, determine how many different integer solutions exist for this equation.", "role": "user" } ]	math	{ "ground_truth": "16", "style": "rule" }	{ "index": 2826, "need_tools_kwargs": true, "question": "Given the quadratic equation \$ 2x^2 + 5xy + 3y^2 = 30 \$, and knowing that \$(x, y) = (9, -4)\$ is one of its integer solutions, determine how many different integer solutions exist for this equation.", "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, The High Cost Of Living or The Young Doctors (Film)?", "role": "user" } ]	qa	{ "ground_truth": "The High Cost Of Living", "style": "rule" }	{ "index": 2827, "need_tools_kwargs": true, "question": "Which film was released more recently, The High Cost Of Living or The Young Doctors (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": "Let non-negative real numbers \$a_1, a_2, \\ldots, a_{100}\$ satisfy: \$ a_i + a_{i+1} + a_{i+2} \\leq 1 \$ for \$ 1 \\leq i \\leq 100 \$, where \$a_{101} = a_1\$ and \$a_{102} = a_2\$. Find the maximum value of \$\\sum_{i=1}^{100} a_i a_{i+2}\$.", "role": "user" } ]	math	{ "ground_truth": "\\frac{25}{2}", "style": "rule" }	{ "index": 2828, "need_tools_kwargs": true, "question": "Let non-negative real numbers \$a_1, a_2, \\ldots, a_{100}\$ satisfy: \$ a_i + a_{i+1} + a_{i+2} \\leq 1 \$ for \$ 1 \\leq i \\leq 100 \$, where \$a_{101} = a_1\$ and \$a_{102} = a_2\$. Find the maximum value of \$\\sum_{i=1}^{100} a_i a_{i+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": "When was the 2012 Louisville Cardinals football team's head coach born?", "role": "user" } ]	qa	{ "ground_truth": "August 2, 1960", "style": "rule" }	{ "index": 2829, "need_tools_kwargs": true, "question": "When was the 2012 Louisville Cardinals football team's head coach 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": "When was Tameka Foster's husband born?", "role": "user" } ]	qa	{ "ground_truth": "October 14, 1978", "style": "rule" }	{ "index": 2830, "need_tools_kwargs": true, "question": "When was Tameka Foster's husband 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": "Compute the positive integer $x$ such that\n\\[4x^3 - 41x^2 + 10x = 1989.\\]", "role": "user" } ]	math	{ "ground_truth": "13", "style": "rule" }	{ "index": 2831, "need_tools_kwargs": true, "question": "Compute the positive integer $x$ such that\n\\[4x^3 - 41x^2 + 10x = 1989.\\]", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Alice believes that the amount of time she spends studying for a test and her score on that test have an inversely proportional relationship. She spent 6 hours studying for her chemistry test and scored 80 points. For her upcoming physics test, she wants to average a score of 85 between the two tests. How many hours should she study for her physics test to achieve this?", "role": "user" } ]	math	{ "ground_truth": "5.3", "style": "rule" }	{ "index": 2832, "need_tools_kwargs": true, "question": "Alice believes that the amount of time she spends studying for a test and her score on that test have an inversely proportional relationship. She spent 6 hours studying for her chemistry test and scored 80 points. For her upcoming physics test, she wants to average a score of 85 between the two tests. How many hours should she study for her physics test to achieve this?", "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": "Rogers Pass is traversed by a highway that begins near what Montana city?", "role": "user" } ]	qa	{ "ground_truth": "Heron", "style": "rule" }	{ "index": 2833, "need_tools_kwargs": true, "question": "Rogers Pass is traversed by a highway that begins near what Montana city?", "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": "Petya places \"+\" and \"-\" signs in all possible ways into the expression $1 * 2 * 3 * 4 * 5 * 6$ at the positions of the asterisks. For each arrangement of signs, he calculates the resulting value and writes it on the board. Some numbers may appear on the board multiple times. Petya then sums all the numbers on the board. What is the sum that Petya obtains?", "role": "user" } ]	math	{ "ground_truth": "32", "style": "rule" }	{ "index": 2834, "need_tools_kwargs": true, "question": "Petya places \"+\" and \"-\" signs in all possible ways into the expression $1 * 2 * 3 * 4 * 5 * 6$ at the positions of the asterisks. For each arrangement of signs, he calculates the resulting value and writes it on the board. Some numbers may appear on the board multiple times. Petya then sums all the numbers on the board. What is the sum that Petya obtains?", "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": "Does the article from 'The Independent - Life and Style' on \"Britney Spears and Justin Timberlake's breakup\" suggest infidelity as a factor, while the article from 'The Independent - Life and Style' on \"Will Smith and Jada Pinkett Smith's marriage\" indicate the absence of infidelity?", "role": "user" } ]	qa	{ "ground_truth": "Yes", "style": "rule" }	{ "index": 2835, "need_tools_kwargs": true, "question": "Does the article from 'The Independent - Life and Style' on \"Britney Spears and Justin Timberlake's breakup\" suggest infidelity as a factor, while the article from 'The Independent - Life and Style' on \"Will Smith and Jada Pinkett Smith's marriage\" indicate the absence of infidelity?", "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 angle \$\\theta\$ with \$0^{\\circ} \\leq \\theta \\leq 180^{\\circ}\$ satisfies \$\\sqrt{2} \\cos 2 \\theta = \\cos \\theta + \\sin \\theta\$. Determine all possible values of \$\\theta\$.", "role": "user" } ]	math	{ "ground_truth": "15135", "style": "rule" }	{ "index": 2836, "need_tools_kwargs": true, "question": "An angle \$\\theta\$ with \$0^{\\circ} \\leq \\theta \\leq 180^{\\circ}\$ satisfies \$\\sqrt{2} \\cos 2 \\theta = \\cos \\theta + \\sin \\theta\$. Determine all possible values of \$\\theta\$.", "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 Bekmurzino and Kavaru, Bam located in the same country?", "role": "user" } ]	qa	{ "ground_truth": "no", "style": "rule" }	{ "index": 2837, "need_tools_kwargs": true, "question": "Are both Bekmurzino and Kavaru, Bam located in the same country?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Given the points M(2,0) and N(a,b) in the Cartesian coordinate system, with the Manhattan distance between M and N defined as d(M,N) = \|x₁ - x₂\| + \|y₁ - y₂\|, and d(M,N) = 2, find the sum of the minimum and maximum values of a² + b² - 4a.", "role": "user" } ]	math	{ "ground_truth": "-2", "style": "rule" }	{ "index": 2838, "need_tools_kwargs": true, "question": "Given the points M(2,0) and N(a,b) in the Cartesian coordinate system, with the Manhattan distance between M and N defined as d(M,N) = \|x₁ - x₂\| + \|y₁ - y₂\|, and d(M,N) = 2, find the sum of the minimum and maximum values of a² + b² - 4a.", "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": " Arena Essex Raceway is built alongside an out-of-town shopping centre constructed on the site of a former what?", "role": "user" } ]	qa	{ "ground_truth": "chalk quarry", "style": "rule" }	{ "index": 2839, "need_tools_kwargs": true, "question": " Arena Essex Raceway is built alongside an out-of-town shopping centre constructed on the site of a former 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": "Is the reporting on the Northern Lights visibility in the UK by 'The Independent - Travel' inconsistent with the observations of the aurora borealis reported by 'Live Science: The Most Interesting Articles' between November 9, 2023, and December 21, 2023?", "role": "user" } ]	qa	{ "ground_truth": "no", "style": "rule" }	{ "index": 2840, "need_tools_kwargs": true, "question": "Is the reporting on the Northern Lights visibility in the UK by 'The Independent - Travel' inconsistent with the observations of the aurora borealis reported by 'Live Science: The Most Interesting Articles' between November 9, 2023, and December 21, 2023?", "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 created a sculpture two miles from Horse Thief Lake?", "role": "user" } ]	qa	{ "ground_truth": "Gutzon Borglum", "style": "rule" }	{ "index": 2841, "need_tools_kwargs": true, "question": "Who created a sculpture two miles from Horse Thief Lake?", "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 disease was Kyle Broflovski infected with by one of his three friends?", "role": "user" } ]	qa	{ "ground_truth": "HIV", "style": "rule" }	{ "index": 2842, "need_tools_kwargs": true, "question": "What disease was Kyle Broflovski infected with by one of his three friends?", "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 what day, month, and year was Denys Strekalin, a skater, born?", "role": "user" } ]	qa	{ "ground_truth": "31 March 1999.", "style": "rule" }	{ "index": 2843, "need_tools_kwargs": true, "question": "On what day, month, and year was Denys Strekalin, a skater, 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 British comedy television series from 2014 did actor Toby Williams appear in?", "role": "user" } ]	qa	{ "ground_truth": "Trying Again", "style": "rule" }	{ "index": 2844, "need_tools_kwargs": true, "question": "What British comedy television series from 2014 did actor Toby Williams appear in?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Let\n\\[ f(a,b) = \\left\\{\n\\renewcommand{\\arraystretch}{3}\n\\begin{array}{cl}\n\\dfrac{a^2b - 2a - 4}{3a} & \\text{if $a + b \\leq 4$}, \\\\\n\\dfrac{ab - b - 3}{-3b} & \\text{if $a + b > 4$}.\n\\end{array}\n\\renewcommand{\\arraystretch}{1}\n\\right.\\]\nFind \$ f(1,3) + f(3,2) \$.", "role": "user" } ]	math	{ "ground_truth": "-\\frac{7}{6}", "style": "rule" }	{ "index": 2845, "need_tools_kwargs": true, "question": "Let\n\\[ f(a,b) = \\left\\{\n\\renewcommand{\\arraystretch}{3}\n\\begin{array}{cl}\n\\dfrac{a^2b - 2a - 4}{3a} & \\text{if $a + b \\leq 4$}, \\\\\n\\dfrac{ab - b - 3}{-3b} & \\text{if $a + b > 4$}.\n\\end{array}\n\\renewcommand{\\arraystretch}{1}\n\\right.\\]\nFind \$ f(1,3) + f(3,2) \$.", "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": "The length of a rectangular yard exceeds twice its width by 30 feet, and the perimeter of the yard is 700 feet. What is the area of the yard in square feet?", "role": "user" } ]	math	{ "ground_truth": "25955.56", "style": "rule" }	{ "index": 2846, "need_tools_kwargs": true, "question": "The length of a rectangular yard exceeds twice its width by 30 feet, and the perimeter of the yard is 700 feet. What is the area of the yard 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": "Omar Metwally played \"Dr. Fahim Nasir\" in a movie directed by who?", "role": "user" } ]	qa	{ "ground_truth": "Jaume Collet-Serra", "style": "rule" }	{ "index": 2847, "need_tools_kwargs": true, "question": "Omar Metwally played \"Dr. Fahim Nasir\" in a movie directed by who?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Which suitcase manufacturer is named after a Peruvian artifact and has a store in an urban shopping mall in Time Warner Center in Manhattan?", "role": "user" } ]	qa	{ "ground_truth": "Tumi Holdings, Inc.", "style": "rule" }	{ "index": 2848, "need_tools_kwargs": true, "question": "Which suitcase manufacturer is named after a Peruvian artifact and has a store in an urban shopping mall in Time Warner Center in Manhattan?", "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 largest value of $c$ such that $-2$ is in the range of $f(x)=x^2+3x+c$.", "role": "user" } ]	math	{ "ground_truth": "0.25", "style": "rule" }	{ "index": 2849, "need_tools_kwargs": true, "question": "Find the largest value of $c$ such that $-2$ is in the range of $f(x)=x^2+3x+c$.", "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": "Two tangents are drawn from point $P(2,1)$ to the circle $x^{2}+y^{2}=4$. Let the points of tangency be $A$ and $B$. The equation of the line $AB$ is ____.", "role": "user" } ]	math	{ "ground_truth": "2x+y-4=0", "style": "rule" }	{ "index": 2850, "need_tools_kwargs": true, "question": "Two tangents are drawn from point $P(2,1)$ to the circle $x^{2}+y^{2}=4$. Let the points of tangency be $A$ and $B$. The equation of the line $AB$ 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": "Are both rivers, St Austell River and Ribeira Do Paul, located in the same country?", "role": "user" } ]	qa	{ "ground_truth": "no", "style": "rule" }	{ "index": 2851, "need_tools_kwargs": true, "question": "Are both rivers, St Austell River and Ribeira Do Paul, 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": "Which film has the director died earlier, Leave It to Henry or Amateur Crook?", "role": "user" } ]	qa	{ "ground_truth": "Amateur Crook", "style": "rule" }	{ "index": 2852, "need_tools_kwargs": true, "question": "Which film has the director died earlier, Leave It to Henry or Amateur Crook?", "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 is older, Diary Of A Country Priest or Marithé + François = Girbaud?", "role": "user" } ]	qa	{ "ground_truth": "Diary Of A Country Priest", "style": "rule" }	{ "index": 2853, "need_tools_kwargs": true, "question": "Which film has the director who is older, Diary Of A Country Priest or Marithé + François = Girbaud?", "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": "68 Silver Street was the home of the doctor of the English essayist, poet, and antiquarian, born on what day?", "role": "user" } ]	qa	{ "ground_truth": "10 February 1775", "style": "rule" }	{ "index": 2854, "need_tools_kwargs": true, "question": "68 Silver Street was the home of the doctor of the English essayist, poet, and antiquarian, born on what day?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "When did the sixth season premiere of the show whose 12th episode of that season is called \"False Positive\"?", "role": "user" } ]	qa	{ "ground_truth": "September 20, 2010", "style": "rule" }	{ "index": 2855, "need_tools_kwargs": true, "question": "When did the sixth season premiere of the show whose 12th episode of that season is called \"False Positive\"?", "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 sum of the absolute values of the terms of a finite arithmetic progression is equal to 100. If all its terms are increased by 1 or all its terms are increased by 2, in both cases the sum of the absolute values of the terms of the resulting progression will also be equal to 100. What values can the quantity \$ n^{2} d \$ take under these conditions, where \$ d \$ is the common difference of the progression, and \$ n \$ is the number of its terms?", "role": "user" } ]	math	{ "ground_truth": "400", "style": "rule" }	{ "index": 2856, "need_tools_kwargs": true, "question": "The sum of the absolute values of the terms of a finite arithmetic progression is equal to 100. If all its terms are increased by 1 or all its terms are increased by 2, in both cases the sum of the absolute values of the terms of the resulting progression will also be equal to 100. What values can the quantity \$ n^{2} d \$ take under these conditions, where \$ d \$ is the common difference of the progression, and \$ n \$ is the number of its terms?", "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": "Mary wants to buy one large pizza, one medium pizza, and three drinks. The drinks cost $p$ dollars each, the medium pizza costs two times as much as one drink, and the large pizza costs three times as much as one drink. If Mary started with $30$ dollars, how much money would she have left after making all of her purchases? Give your answer as an expression of $p$.", "role": "user" } ]	math	{ "ground_truth": "30-8p", "style": "rule" }	{ "index": 2857, "need_tools_kwargs": true, "question": "Mary wants to buy one large pizza, one medium pizza, and three drinks. The drinks cost $p$ dollars each, the medium pizza costs two times as much as one drink, and the large pizza costs three times as much as one drink. If Mary started with $30$ dollars, how much money would she have left after making all of her purchases? Give your answer as an expression of $p$.", "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": "The tangent to the graph \$ y = x^2 \$ intersects the \$ O_x \$ and \$ O_y \$ axes at points \$ A \$ and \$ B \$. Find the lengths of the legs \$ O A \$ and \$ O B \$ if the area of triangle \$ A O B \$ is 16.", "role": "user" } ]	math	{ "ground_truth": "16", "style": "rule" }	{ "index": 2858, "need_tools_kwargs": true, "question": "The tangent to the graph \$ y = x^2 \$ intersects the \$ O_x \$ and \$ O_y \$ axes at points \$ A \$ and \$ B \$. Find the lengths of the legs \$ O A \$ and \$ O B \$ if the area of triangle \$ A O B \$ is 16.", "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": "在平面直角坐标系中，函数 $y=\\frac{x+1}{\|x\|+1}$ 的图像上有三个不同的点位于直线 $l$ 上，且这三点的横坐标之和为 0。求 $l$ 的斜率的取值范围。答案的形式为 $a<k<\\frac{b}{c}$，请给出 $a+b+c$ 的值。", "role": "user" } ]	math	{ "ground_truth": "11", "style": "rule" }	{ "index": 2859, "need_tools_kwargs": true, "question": "在平面直角坐标系中，函数 $y=\\frac{x+1}{\|x\|+1}$ 的图像上有三个不同的点位于直线 $l$ 上，且这三点的横坐标之和为 0。求 $l$ 的斜率的取值范围。答案的形式为 $a<k<\\frac{b}{c}$，请给出 $a+b+c$ 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": "The Dutch Mannlicher, also known as the M.95 (Model 1895), was the service rifle of the Armed forces of the Netherlands between 1895 and 1945, the M1893 was itself a somewhat modernized version, of which late 19th-century German bolt action rifle, adopted in 1888?", "role": "user" } ]	qa	{ "ground_truth": "Gewehr 88", "style": "rule" }	{ "index": 2860, "need_tools_kwargs": true, "question": "The Dutch Mannlicher, also known as the M.95 (Model 1895), was the service rifle of the Armed forces of the Netherlands between 1895 and 1945, the M1893 was itself a somewhat modernized version, of which late 19th-century German bolt action rifle, adopted in 1888?", "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 earlier, A Mountain Goes To Sea or Black Field?", "role": "user" } ]	qa	{ "ground_truth": "A Mountain Goes To Sea", "style": "rule" }	{ "index": 2861, "need_tools_kwargs": true, "question": "Which film was released earlier, A Mountain Goes To Sea or Black Field?", "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 school has $n$ grade 10 students, with a ratio of boys to girls being 6:5. To understand the students' vision conditions, a stratified sampling method is used to extract a sample with a capacity of $\\frac{n}{10}$. If the sample contains 12 more boys than girls, find the value of $n$.", "role": "user" } ]	math	{ "ground_truth": "1320", "style": "rule" }	{ "index": 2862, "need_tools_kwargs": true, "question": "A school has $n$ grade 10 students, with a ratio of boys to girls being 6:5. To understand the students' vision conditions, a stratified sampling method is used to extract a sample with a capacity of $\\frac{n}{10}$. If the sample contains 12 more boys than girls, find the value of $n$.", "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": "Who wrote the memoir from which the 2014 British biographical romantic drama starring English actor Vincenzo Leonardo \"Enzo\" Cilenti was adapted?", "role": "user" } ]	qa	{ "ground_truth": "Jane Wilde Hawking", "style": "rule" }	{ "index": 2863, "need_tools_kwargs": true, "question": "Who wrote the memoir from which the 2014 British biographical romantic drama starring English actor Vincenzo Leonardo \"Enzo\" Cilenti was adapted?", "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 last three digits of the number $2003^{{2002}^{2001}}$.", "role": "user" } ]	math	{ "ground_truth": "241", "style": "rule" }	{ "index": 2864, "need_tools_kwargs": true, "question": "Find the last three digits of the number $2003^{{2002}^{2001}}$.", "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 number of irrational numbers \$ x \$ for which the value of \$\\frac{x+1}{x^{2}-3x+3}\$ is an integer is:\n(A) 0\n(B) 2\n(C) 4\n(D) 6", "role": "user" } ]	math	{ "ground_truth": "2", "style": "rule" }	{ "index": 2865, "need_tools_kwargs": true, "question": "The number of irrational numbers \$ x \$ for which the value of \$\\frac{x+1}{x^{2}-3x+3}\$ is an integer is:\n(A) 0\n(B) 2\n(C) 4\n(D) 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": "The real root of the equation \$\\sin x = \\lg x\$ is:\n(A) 1\n(B) 2\n(C) 3\n(D) Greater than 3", "role": "user" } ]	math	{ "ground_truth": "3", "style": "rule" }	{ "index": 2866, "need_tools_kwargs": true, "question": "The real root of the equation \$\\sin x = \\lg x\$ is:\n(A) 1\n(B) 2\n(C) 3\n(D) Greater than 3", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "已知等差数列 $\\left\\{a_{n}\\right\\} 、\\left\\{b_{n}\\right\\}$ 的前 $n$ 项和分别为 $S_{n} 、 T_{n}$, 且对于一切正整数 $n$, 均有 $\\frac{a_{n}}{b_{n}}=\\frac{2 n-1}{3 n+1}$.则 $\\frac{S_{6}}{T_{5}}=$ $\\qquad$.原始的答案是\\frac{m}{n}的形式，其中m、n是互质的。请给出最终m + n的值", "role": "user" } ]	math	{ "ground_truth": "43", "style": "rule" }	{ "index": 2867, "need_tools_kwargs": true, "question": "已知等差数列 $\\left\\{a_{n}\\right\\} 、\\left\\{b_{n}\\right\\}$ 的前 $n$ 项和分别为 $S_{n} 、 T_{n}$, 且对于一切正整数 $n$, 均有 $\\frac{a_{n}}{b_{n}}=\\frac{2 n-1}{3 n+1}$.则 $\\frac{S_{6}}{T_{5}}=$ $\\qquad$.原始的答案是\\frac{m}{n}的形式，其中m、n是互质的。请给出最终m + n的值", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Given a set \$ S = \\{1, 2, \\ldots, n\\} \$, and subsets \$ A_{i} = \\{a_{i}, b_{i}, c_{i}\\} \$ with \$ a_{i} < b_{i} < c_{i} \$ (for \$ i = 1, 2, \\ldots, m \$), which are three-element subsets of \$ S \$, determine the maximum value of \$ m \$ such that for any \$ A_{i} \$ and \$ A_{j} \$ (where \$ 1 \\leq i < j \\leq m \$), at most one of the conditions \$ a_{i} = a_{j} \$, \$ b_{i} = b_{j} \$, or \$ c_{i} = c_{j} \$ holds.", "role": "user" } ]	math	{ "ground_truth": "\\left\\lfloor \\frac{(n - 1)^2}{4} \\right\\rfloor", "style": "rule" }	{ "index": 2868, "need_tools_kwargs": true, "question": "Given a set \$ S = \\{1, 2, \\ldots, n\\} \$, and subsets \$ A_{i} = \\{a_{i}, b_{i}, c_{i}\\} \$ with \$ a_{i} < b_{i} < c_{i} \$ (for \$ i = 1, 2, \\ldots, m \$), which are three-element subsets of \$ S \$, determine the maximum value of \$ m \$ such that for any \$ A_{i} \$ and \$ A_{j} \$ (where \$ 1 \\leq i < j \\leq m \$), at most one of the conditions \$ a_{i} = a_{j} \$, \$ b_{i} = b_{j} \$, or \$ c_{i} = c_{j} \$ holds.", "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 Australian dramatic coloratura soprano collaborated with Richard Conrad?", "role": "user" } ]	qa	{ "ground_truth": "Dame Joan Alston Sutherland", "style": "rule" }	{ "index": 2869, "need_tools_kwargs": true, "question": "What Australian dramatic coloratura soprano collaborated with Richard Conrad?", "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 minimum value of the function $f(x)=\\sin x-x$, where $x\\in\\left[0, \\frac{\\pi}{2}\\right]$.", "role": "user" } ]	math	{ "ground_truth": "1-\\frac{\\pi}{2}", "style": "rule" }	{ "index": 2870, "need_tools_kwargs": true, "question": "Find the minimum value of the function $f(x)=\\sin x-x$, where $x\\in\\left[0, \\frac{\\pi}{2}\\right]$.", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "In what year was the person who took on Kenny Omega in The New Beginning in Niigata born?", "role": "user" } ]	qa	{ "ground_truth": "1976", "style": "rule" }	{ "index": 2871, "need_tools_kwargs": true, "question": "In what year was the person who took on Kenny Omega in The New Beginning in Niigata 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": "John's neighbor tells him to walk his dog for 1 hour each day. On weekdays, John earns $10 per hour, but on weekends, he earns $15 per hour. In April, John walks his neighbor's dog for all days except for the 4 Sundays. However, during the third week, his friend Mark helps him on 3 days, so they split the earnings for those days.\n\nAfter earning the money, John receives a 10% discount on books he buys, which cost a total of $50 before the discount. He also gives his sister Kaylee 20% of the remaining money. Additionally, John spends $25 on a gift for his friend's birthday, and because of a daily spending limit on weekends, he only spends a maximum of $10 a day on food. Calculate how much money John has left after all these expenses.", "role": "user" } ]	math	{ "ground_truth": "\\$135", "style": "rule" }	{ "index": 2872, "need_tools_kwargs": true, "question": "John's neighbor tells him to walk his dog for 1 hour each day. On weekdays, John earns $10 per hour, but on weekends, he earns $15 per hour. In April, John walks his neighbor's dog for all days except for the 4 Sundays. However, during the third week, his friend Mark helps him on 3 days, so they split the earnings for those days.\n\nAfter earning the money, John receives a 10% discount on books he buys, which cost a total of $50 before the discount. He also gives his sister Kaylee 20% of the remaining money. Additionally, John spends $25 on a gift for his friend's birthday, and because of a daily spending limit on weekends, he only spends a maximum of $10 a day on food. Calculate how much money John has left after all these expenses.", "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": "已知 $\\alpha 、 \\beta$ 是方程 $4 x^{2}-4 t x-1=0(t \\in \\mathbf{R})$ 的两个不等实根，函数 $f(x)=\\frac{2 x-t}{x^{2}+1}$的定义域为 $[\\alpha, \\beta]$ 。\n（1）求 $g(t)=\\max f(x)-\\min f(x)$ ，其结果形如 \$\\frac{k\\sqrt{m}(nt^2 + p)}{qt^2 + r}\$，请给出k+m+n+p+q+r的值。\n（2）证明：对于 $u_{i} \\in\\left(0, \\frac{\\pi}{2}\\right)(i=1,2,3)$ ，若 $\\sin u_{1}+\\sin u_{2}+\\sin u_{3}=1$ ，则\n$$\n\\frac{1}{g\\left(\\tan u_{1}\\right)}+\\frac{1}{g\\left(\\tan u_{2}\\right)}+\\frac{1}{g\\left(\\tan u_{3}\\right)}<\\frac{3 \\sqrt{6}}{4}\n$$", "role": "user" } ]	math	{ "ground_truth": "57", "style": "rule" }	{ "index": 2873, "need_tools_kwargs": true, "question": "已知 $\\alpha 、 \\beta$ 是方程 $4 x^{2}-4 t x-1=0(t \\in \\mathbf{R})$ 的两个不等实根，函数 $f(x)=\\frac{2 x-t}{x^{2}+1}$的定义域为 $[\\alpha, \\beta]$ 。\n（1）求 $g(t)=\\max f(x)-\\min f(x)$ ，其结果形如 \$\\frac{k\\sqrt{m}(nt^2 + p)}{qt^2 + r}\$，请给出k+m+n+p+q+r的值。\n（2）证明：对于 $u_{i} \\in\\left(0, \\frac{\\pi}{2}\\right)(i=1,2,3)$ ，若 $\\sin u_{1}+\\sin u_{2}+\\sin u_{3}=1$ ，则\n$$\n\\frac{1}{g\\left(\\tan u_{1}\\right)}+\\frac{1}{g\\left(\\tan u_{2}\\right)}+\\frac{1}{g\\left(\\tan u_{3}\\right)}<\\frac{3 \\sqrt{6}}{4}\n$$", "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": "Find the equation of the tangent line to the curve $y=x^3+x+1$ at the point $(1,3)$.", "role": "user" } ]	math	{ "ground_truth": "y=4x-1", "style": "rule" }	{ "index": 2874, "need_tools_kwargs": true, "question": "Find the equation of the tangent line to the curve $y=x^3+x+1$ at the point $(1,3)$.", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Do director of film Pori (film) and director of film Unmarried Daughters have the same nationality?", "role": "user" } ]	qa	{ "ground_truth": "no", "style": "rule" }	{ "index": 2875, "need_tools_kwargs": true, "question": "Do director of film Pori (film) and director of film Unmarried Daughters have the same nationality?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "John books 3 nights at a hotel room for $250 a night. He has a certain discount. He pays $650. How much is the discount?", "role": "user" } ]	math	{ "ground_truth": "\\$100", "style": "rule" }	{ "index": 2876, "need_tools_kwargs": true, "question": "John books 3 nights at a hotel room for $250 a night. He has a certain discount. He pays $650. How much is the discount?", "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 Stolen Memories: Secrets From The Rose Garden and director of film End Of The World (1977 Film) from the same country?", "role": "user" } ]	qa	{ "ground_truth": "yes", "style": "rule" }	{ "index": 2877, "need_tools_kwargs": true, "question": "Are director of film Stolen Memories: Secrets From The Rose Garden and director of film End Of The World (1977 Film) from the same country?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Given the universal set $U=\\{1,2,3,4,5,6\\}$, sets $A=\\{1,3,5\\}$ and $B=\\{4,5,6\\}$, find the complement of the union of sets $A$ and $B$, denoted by $C_U(A \\cup B)$. \nA: $\\{2, 4, 6\\}$\nB: $\\{2\\}$\nC: $\\{5\\}$\nD: $\\{1, 3, 4, 5, 6\\}$", "role": "user" } ]	math	{ "ground_truth": "\\{2\\}", "style": "rule" }	{ "index": 2878, "need_tools_kwargs": true, "question": "Given the universal set $U=\\{1,2,3,4,5,6\\}$, sets $A=\\{1,3,5\\}$ and $B=\\{4,5,6\\}$, find the complement of the union of sets $A$ and $B$, denoted by $C_U(A \\cup B)$. \nA: $\\{2, 4, 6\\}$\nB: $\\{2\\}$\nC: $\\{5\\}$\nD: $\\{1, 3, 4, 5, 6\\}$", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "What nationality is the composer of film Carmen On Ice?", "role": "user" } ]	qa	{ "ground_truth": "French", "style": "rule" }	{ "index": 2879, "need_tools_kwargs": true, "question": "What nationality is the composer of film Carmen On Ice?", "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 regular pentagon can have the line segments forming its boundary extended to lines, giving an arrangement of lines that intersect at ten points. How many ways are there to choose five points of these ten so that no three of the points are collinear?", "role": "user" } ]	math	{ "ground_truth": "12", "style": "rule" }	{ "index": 2880, "need_tools_kwargs": true, "question": "A regular pentagon can have the line segments forming its boundary extended to lines, giving an arrangement of lines that intersect at ten points. How many ways are there to choose five points of these ten so that no three of the points are collinear?", "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 King in New York is a 1957 British comedy film directed by and starring an English comic who rose to fame in what era?", "role": "user" } ]	qa	{ "ground_truth": "silent film", "style": "rule" }	{ "index": 2881, "need_tools_kwargs": true, "question": " A King in New York is a 1957 British comedy film directed by and starring an English comic who rose to fame in what 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": "Who was best known for his orchestral suite \"The Planets\" who had his music in the opening and closing of an hour-long children's television program", "role": "user" } ]	qa	{ "ground_truth": "Gustav Theodore Holst", "style": "rule" }	{ "index": 2882, "need_tools_kwargs": true, "question": "Who was best known for his orchestral suite \"The Planets\" who had his music in the opening and closing of an hour-long children's television program", "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 Gentlemen Marry Brunettes?", "role": "user" } ]	qa	{ "ground_truth": "American", "style": "rule" }	{ "index": 2883, "need_tools_kwargs": true, "question": "What nationality is the director of film Gentlemen Marry Brunettes?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "When did the performer of song You Brought A New Kind Of Love To Me die?", "role": "user" } ]	qa	{ "ground_truth": "May 14, 1998", "style": "rule" }	{ "index": 2884, "need_tools_kwargs": true, "question": "When did the performer of song You Brought A New Kind Of Love To Me 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": "Given an ellipse $\\frac{x^{2}}{a^{2}} + \\frac{y^{2}}{b^{2}} = 1$ with $a > b > 0$, one of its vertices is $A(0, b)$, the eccentricity is $\\frac{\\sqrt{2}}{2}$, and a line passing through point $B(0, -2)$ and the left focus $F_{1}$ intersects the ellipse at points $C$ and $D$. Let the right focus be $F_{2}$. \n\n(1) Find the equation of the ellipse;\n(2) Calculate the area of $\\triangle CDF_{2}$.", "role": "user" } ]	math	{ "ground_truth": "\\frac{4\\sqrt{10}}{9}", "style": "rule" }	{ "index": 2885, "need_tools_kwargs": true, "question": "Given an ellipse $\\frac{x^{2}}{a^{2}} + \\frac{y^{2}}{b^{2}} = 1$ with $a > b > 0$, one of its vertices is $A(0, b)$, the eccentricity is $\\frac{\\sqrt{2}}{2}$, and a line passing through point $B(0, -2)$ and the left focus $F_{1}$ intersects the ellipse at points $C$ and $D$. Let the right focus be $F_{2}$. \n\n(1) Find the equation of the ellipse;\n(2) Calculate the area of $\\triangle CDF_{2}$.", "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": "A cube with an edge length of 6 is cut into smaller cubes with integer edge lengths. If the total surface area of these smaller cubes is \$\\frac{10}{3}\$ times the surface area of the original larger cube before cutting, how many of these smaller cubes have an edge length of 1?", "role": "user" } ]	math	{ "ground_truth": "56", "style": "rule" }	{ "index": 2886, "need_tools_kwargs": true, "question": "A cube with an edge length of 6 is cut into smaller cubes with integer edge lengths. If the total surface area of these smaller cubes is \$\\frac{10}{3}\$ times the surface area of the original larger cube before cutting, how many of these smaller cubes have an edge length of 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": "BARGE, the Big August Rec.Gambling Excursion, is a yearly convention where well-known poker players who have participated either as speakers or players including poker player who has won a record of how many World Series of Poker bracelets?", "role": "user" } ]	qa	{ "ground_truth": "fourteen", "style": "rule" }	{ "index": 2887, "need_tools_kwargs": true, "question": "BARGE, the Big August Rec.Gambling Excursion, is a yearly convention where well-known poker players who have participated either as speakers or players including poker player who has won a record of how many World Series of Poker bracelets?", "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": "David Silverman did the animation for an American coming-of-age comedy-drama film written and directed by who?", "role": "user" } ]	qa	{ "ground_truth": "Kelly Fremon Craig", "style": "rule" }	{ "index": 2888, "need_tools_kwargs": true, "question": "David Silverman did the animation for an American coming-of-age comedy-drama film written and directed by who?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Given that the solution set of the inequality $ax^{2}+bx+c \\lt 0$ with respect to $x$ is $(\\frac{1}{t},t)$ where $(t>0)$, which of the following statements is correct?\n\nA: $abc \\lt 0$\n\nB: $2a+b \\lt 0$\n\nC: $(\\frac{1}{4}a+\\frac{1}{2}b+c)(4a+2b+c)≤0$\n\nD: Let the solutions of the equation $ax+b\\sqrt{x}+c=0$ with respect to $x$ be $x_{1}$ and $x_{2}$, then ${x}_{1}+{x}_{2}＞t+\\frac{1}{t}$", "role": "user" } ]	math	{ "ground_truth": "ABD", "style": "rule" }	{ "index": 2889, "need_tools_kwargs": true, "question": "Given that the solution set of the inequality $ax^{2}+bx+c \\lt 0$ with respect to $x$ is $(\\frac{1}{t},t)$ where $(t>0)$, which of the following statements is correct?\n\nA: $abc \\lt 0$\n\nB: $2a+b \\lt 0$\n\nC: $(\\frac{1}{4}a+\\frac{1}{2}b+c)(4a+2b+c)≤0$\n\nD: Let the solutions of the equation $ax+b\\sqrt{x}+c=0$ with respect to $x$ be $x_{1}$ and $x_{2}$, then ${x}_{1}+{x}_{2}＞t+\\frac{1}{t}$", "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": "Saturn 3 had a screenplay written by the novelist best known for which 1984 novel?", "role": "user" } ]	qa	{ "ground_truth": "Money", "style": "rule" }	{ "index": 2890, "need_tools_kwargs": true, "question": "Saturn 3 had a screenplay written by the novelist best known for which 1984 novel?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "There are 10 questions available, among which 6 are Type A questions and 4 are Type B questions. Student Xiao Ming randomly selects 3 questions to solve.\n\n(1) Calculate the probability that Xiao Ming selects at least 1 Type B question.\n\n(2) Given that among the 3 selected questions, there are 2 Type A questions and 1 Type B question, and the probability of Xiao Ming correctly answering each Type A question is $\\dfrac{3}{5}$, and the probability of correctly answering each Type B question is $\\dfrac{4}{5}$. Assuming the correctness of answers to different questions is independent, calculate the probability that Xiao Ming correctly answers at least 2 questions.", "role": "user" } ]	math	{ "ground_truth": "\\dfrac{93}{125}", "style": "rule" }	{ "index": 2891, "need_tools_kwargs": true, "question": "There are 10 questions available, among which 6 are Type A questions and 4 are Type B questions. Student Xiao Ming randomly selects 3 questions to solve.\n\n(1) Calculate the probability that Xiao Ming selects at least 1 Type B question.\n\n(2) Given that among the 3 selected questions, there are 2 Type A questions and 1 Type B question, and the probability of Xiao Ming correctly answering each Type A question is $\\dfrac{3}{5}$, and the probability of correctly answering each Type B question is $\\dfrac{4}{5}$. Assuming the correctness of answers to different questions is independent, calculate the probability that Xiao Ming correctly answers at least 2 questions.", "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 liberal arts college hosted a literary critic and fiction writer born in 1931 as it's director and dean?", "role": "user" } ]	qa	{ "ground_truth": "Deep Springs College", "style": "rule" }	{ "index": 2892, "need_tools_kwargs": true, "question": "What liberal arts college hosted a literary critic and fiction writer born in 1931 as it's director and dean?", "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 Cromwell station is located in which Maryland county?", "role": "user" } ]	qa	{ "ground_truth": "Anne Arundel County", "style": "rule" }	{ "index": 2893, "need_tools_kwargs": true, "question": "The Cromwell station is located in which Maryland county?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "In a class with 35 students, a survey was conducted on their preferences regarding mathematics and literature, and it was found that:\n\n- 7 men like mathematics;\n- 6 men like literature;\n- 5 men and 8 women said they do not like either;\n- there are 16 men in the class;\n- 5 students like both;\n- 11 students like only mathematics.\n\na) How many men like both mathematics and literature?\n\nb) How many women like only literature?", "role": "user" } ]	math	{ "ground_truth": "6", "style": "rule" }	{ "index": 2894, "need_tools_kwargs": true, "question": "In a class with 35 students, a survey was conducted on their preferences regarding mathematics and literature, and it was found that:\n\n- 7 men like mathematics;\n- 6 men like literature;\n- 5 men and 8 women said they do not like either;\n- there are 16 men in the class;\n- 5 students like both;\n- 11 students like only mathematics.\n\na) How many men like both mathematics and literature?\n\nb) How many women like only literature?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Calculate the areas of the following quadrilaterals formed by their vertices:\n- Quadrilateral I has vertices at (0,0), (3,0), (3,3), and (0,2).\n- Quadrilateral II has vertices at (0,0), (3,0), (3,2), and (0,3).\n\nAfter calculating the areas, compare the perimeters of both quadrilaterals. What can you conclude about their areas and perimeters?", "role": "user" } ]	math	{ "ground_truth": "7.5", "style": "rule" }	{ "index": 2895, "need_tools_kwargs": true, "question": "Calculate the areas of the following quadrilaterals formed by their vertices:\n- Quadrilateral I has vertices at (0,0), (3,0), (3,3), and (0,2).\n- Quadrilateral II has vertices at (0,0), (3,0), (3,2), and (0,3).\n\nAfter calculating the areas, compare the perimeters of both quadrilaterals. What can you conclude about their areas and perimeters?", "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": "Trump Steaks were initially sold through QVC and a brand whose licensing is owned by what company?", "role": "user" } ]	qa	{ "ground_truth": "ThreeSixty Group, Inc", "style": "rule" }	{ "index": 2896, "need_tools_kwargs": true, "question": "Trump Steaks were initially sold through QVC and a brand whose licensing is owned by what company?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "When did the show starring former American football tight end who played for the Denver Broncos and Baltimore Ravens of the National Football League premier?", "role": "user" } ]	qa	{ "ground_truth": "September 6, 2016", "style": "rule" }	{ "index": 2897, "need_tools_kwargs": true, "question": "When did the show starring former American football tight end who played for the Denver Broncos and Baltimore Ravens of the National Football League premier?", "split": "train" }	null
DR_grpo_mix	[ { "content": "You are a helpful assistant that can solve the given question step by step with the help of the wikipedia search tool and python interpreter tool. Given a question, you need to first think about the reasoning process in the mind and then provide the answer. During thinking, you can invoke the wikipedia search tool to search and python interpreter tool to calculate the math problem for fact information about specific topics if needed. The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags respectively, and the search query and result are enclosed within <search> </search> and <result> </result> tags respectively. For example, <think> This is the reasoning process. </think> <search> search query here </search> <result> search result here </result> <think> This is the reasoning process. </think> <python> python code here </python> <result> python interpreter result here </result> <think> This is the reasoning process. </think> <answer> The final answer is \\[ \\boxed{answer here} \\] </answer>. In the last part of the answer, the final exact answer is enclosed within \\boxed{} with latex format.", "role": "system" }, { "content": "Who is the father of the person that developed Elephant and Obelisk?", "role": "user" } ]	qa	{ "ground_truth": "Pietro Bernini", "style": "rule" }	{ "index": 2898, "need_tools_kwargs": true, "question": "Who is the father of the person that developed Elephant and Obelisk?", "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 which number divides $3^{3n+1} + 5^{3n+2} + 7^{3n+3}$ for every positive integer $n$.", "role": "user" } ]	math	{ "ground_truth": "7", "style": "rule" }	{ "index": 2899, "need_tools_kwargs": true, "question": "Determine which number divides $3^{3n+1} + 5^{3n+2} + 7^{3n+3}$ for every positive integer $n$.", "split": "train" }	null

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