{"task": {"agent_timeout": 600, "task": "kramabench-wildfire-hard-18", "verifier_timeout": 300, "instruction": "Under `/app/data`, consider the following files for analysis:\n* NST-EST2024-POP.xlsx\n* PublicView_RAWS_-3515561676727363726.csv\n* cleaned_helicopter_requests_by_region.csv\n* nifc_suppression_costs.csv\n* noaa_wildfires.csv\n* noaa_wildfires_monthly_stats.csv\n* noaa_wildfires_variabledescrip.csv\n* state_abbreviation_to_state.json\n* wildfire_total_fires_p45_54.csv\n\nBased on the NOAA dataset, controlling for the weather, do more aggressive suppression actually contribute to fire ending faster and affecting less buildings?\n\nSave your string answer AND NOTHING ELSE in the file `/app/answer.txt`.", "memory": "4096m", "runnable": false, "difficulty": "hard", "language": "", "cpus": 1, "instruction_truncated": false, "category": "data-science", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "kramabench", "tags": ["data-processing", "coding", "string_approximate", "wildfire"]}, "runs": []}