{"database": "grpo-one-example", "table": "results", "rows": [[28, "dsr-one-example-grpo_global_step_50", "gsm8k_main(0)", "27", "Question: Cynthia eats one serving of ice cream every night.  She buys cartons of ice cream with 15 servings of ice cream per carton at a cost of $4.00 per carton.  After 60 days, how much will she spend on ice cream?\nAnswer:", "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nOutput format: end your response with \\boxed{<answer>} where <answer> is the final answer.\n\nQuestion: Cynthia eats one serving of ice cream every night.  She buys cartons of ice cream with 15 servings of ice cream per carton at a cost of $4.00 per carton.  After 60 days, how much will she spend on ice cream?\nAnswer:<|im_end|>\n<|im_start|>assistant\n", "16", 1, "[16]", "[stop:-]", "To determine how much Cynthia will spend on ice cream after 60 days, we need to follow these steps:\n\n1. Calculate the total number of servings of ice cream Cynthia eats in 60 days.\n2. Determine how many cartons of ice cream she needs to buy.\n3. Calculate the total cost based on the number of cartons.\n\nStep 1: Calculate the total number of servings of ice cream Cynthia eats in 60 days.\nCynthia eats 1 serving of ice cream every night. Therefore, in 60 days, she will eat:\n\\[ 1 \\text{ serving/night} \\times 60 \\text{ nights} = 60 \\text{ servings} \\]\n\nStep 2: Determine how many cartons of ice cream she needs to buy.\nEach carton contains 15 servings. To find out how many cartons she needs, we divide the total number of servings by the number of servings per carton:\n\\[ \\frac{60 \\text{ servings}}{15 \\text{ servings/carton}} = 4 \\text{ cartons} \\]\n\nStep 3: Calculate the total cost based on the number of cartons.\nEach carton costs $4.00. Therefore, the total cost for 4 cartons is:\n\\[ 4 \\text{ cartons} \\times 4 \\text{ dollars/carton} = 16 \\text{ dollars} \\]\n\nThus, the total amount Cynthia will spend on ice cream after 60 days is:\n\\[\n\\boxed{16}\n\\]"]], "columns": ["id", "model_name", "task_name", "sample_id", "prompt_actual", "prompt_full", "gold_answer", "is_correct", "extracted_answers", "stop_reasons", "response_1"], "primary_keys": ["id"], "primary_key_values": ["28"], "units": {}, "query_ms": 0.8827908895909786}