# spreadsheetbench-verified / 33157 - 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 I need to know how I can populate column K with the earliest activity number for each individual based on the dates listed in column J of my Excel sheet. Is there a way to use the date in column J as a reference to search through the adjacent cells in columns B, D, F, and H to find and return this earliest date? For example, if a match is found in Col B, populate col K with that header (Activity 1 is the header for Col B) ### spreadsheet_path /app/spreadsheets/1_33157_input.xlsx ### instruction_type Cell-Level Manipulation ### answer_position 'Sheet1'!K2:K6 ### output_path /app/output/1_33157_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