{"task": {"agent_timeout": 600, "task": "dacode-dm-csv-006", "verifier_timeout": 600, "instruction": "All input files are under `/app`. Save your output file(s) under `/app/output`.\n\nIdentify which products are frequently purchased together in the same order. Specifically, find the different product pairs and calculate the number of times they are purchased together. Record the information for the top two product pairs with the highest co-purchase count in result.csv, following the format in sample_result.csv. The column names should be \u2018product_a\u2019 for the first product in the pair, \u2018product_b\u2019 for the second product, and \u2018co_purchase_count\u2019 for the number of times the two products are purchased together. Ensure product names follow the format \u2018Heller Shagamaw Frame - 2016\u2019.", "memory": "4096m", "runnable": false, "difficulty": "medium", "language": "", "cpus": 1, "instruction_truncated": false, "category": "data-science", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "dacode", "tags": ["data-processing", "coding", "dm", "dm-csv"]}, "runs": []}