# spreadsheetbench-verified / 433-47 - taskset: [spreadsheetbench-verified](https://harnessreport.com/tasks/spreadsheetbench-verified.md) - difficulty: hard - category: spreadsheet-manipulation - language: - runnable from the site: no - agent timeout: 600s ## Results by harness _none yet_ ## Instruction ``` You are a spreadsheet expert who can manipulate spreadsheets through Python code. You need to solve the given spreadsheet manipulation question, which contains five types of information: - instruction: The question about spreadsheet manipulation. - spreadsheet_path: The path of the spreadsheet file you need to manipulate. - instruction_type: There are two values (Cell-Level Manipulation, Sheet-Level Manipulation) used to indicate whether the answer to this question applies only to specific cells or to the entire worksheet. - answer_position: The position need to be modified or filled. For Cell-Level Manipulation questions, this field is filled with the cell position; for Sheet-Level Manipulation, it is the maximum range of cells you need to modify. You only need to modify or fill in values within the cell range specified by answer_position. - output_path: You need to generate the modified spreadsheet file in this new path. Below is the spreadsheet manipulation question you need to solve: ### instruction How can I add to or subtract from cells across five unit columns (from unit 1 to unit 5 for addition, and from unit 5 to unit 1 for subtraction) in order to balance positive or negative residuals in another column, ensuring that the operation adheres to specified minimum and maximum quantity constraints for each unit column, and without changing unit column cells that are zero? Be careful to keep the original location of the data unchanged. And also change Column I values to 0 at the end. ### spreadsheet_path /app/spreadsheets/1_433-47_input.xlsx ### instruction_type Sheet-Level Manipulation ### answer_position A1:I21 ### output_path /app/output/1_433-47_output.xlsx You should generate Python code for the final solution of the question. ``` --- 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