# 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