# kramabench / kramabench-wildfire-hard-18 - 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: * NST-EST2024-POP.xlsx * PublicView_RAWS_-3515561676727363726.csv * cleaned_helicopter_requests_by_region.csv * nifc_suppression_costs.csv * noaa_wildfires.csv * noaa_wildfires_monthly_stats.csv * noaa_wildfires_variabledescrip.csv * state_abbreviation_to_state.json * wildfire_total_fires_p45_54.csv Based on the NOAA dataset, controlling for the weather, do more aggressive suppression actually contribute to fire ending faster and affecting less buildings? 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