{"task": {"agent_timeout": 600, "task": "kramabench-wildfire-hard-7", "verifier_timeout": 300, "instruction": "Under `/app/data`, consider the following files for analysis:\n* Fire_Weather_Data_2002-2014_2016.csv\n* NST-EST2024-POP.xlsx\n* Wildfire_Acres_by_State.csv\n* ZHVI.csv\n* cleaned_helicopter_requests_by_region.csv\n* nifc_geographic_areas.gpkg\n* nifc_human_caused_acres.csv\n* nifc_human_caused_wildfires.csv\n* nifc_lightning_caused_acres.csv\n* noaa_wildfires_monthly_stats.csv\n\nWhich geographic area had the most anomalous year (by Z-score) in terms of total acres burned compared to its historical annual average, and what year was it in? Answer with the geographic area and year, separated by a comma.\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": []}