# kramabench / kramabench-wildfire-hard-7 - taskset: [kramabench](https://harnessreport.com/tasks/kramabench.md) - difficulty: hard - category: data-science - language: - runnable from the site: no - agent timeout: 600s ## Results by harness _none yet_ ## Instruction ``` Under `/app/data`, consider the following files for analysis: * Fire_Weather_Data_2002-2014_2016.csv * NST-EST2024-POP.xlsx * Wildfire_Acres_by_State.csv * ZHVI.csv * cleaned_helicopter_requests_by_region.csv * nifc_geographic_areas.gpkg * nifc_human_caused_acres.csv * nifc_human_caused_wildfires.csv * nifc_lightning_caused_acres.csv * noaa_wildfires_monthly_stats.csv Which 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. Save your string answer AND NOTHING ELSE in the file `/app/answer.txt`. ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp