{"task": {"agent_timeout": 600, "task": "dacode-data-wrangling-015", "verifier_timeout": 600, "instruction": "All input files are under `/app`. Save your output file(s) under `/app/output`.\n\nProcess the dataset directly in the original file, converting fuel consumption to L/100km and normalizing the car dimensions (length, width, height) to meet local standards. Save the cleaned data to 'cleaned_data.csv'.\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": []}