{"task": {"agent_timeout": 600, "task": "dacode-data-wrangling-019", "verifier_timeout": 600, "instruction": "All input files are under `/app`. Save your output file(s) under `/app/output`.\n\nFor the 'Units Sold (million)' column, identify missing values and fill them using the average from the respective 'Manufacturer' group. After completing the imputation, format the cleaned data to match 'sales_data_imputed.csv' and save it accordingly.\n", "memory": "4096m", "runnable": false, "difficulty": "easy", "language": "", "cpus": 1, "instruction_truncated": false, "category": "data-science", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "dacode", "tags": ["data-processing", "coding", "data", "data-wrangling"]}, "runs": []}