# spreadsheetbench-verified / 577-40 - 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 delete entire rows in an Excel worksheet if both Column J and Column K are either blank or contain any of the following specific values: -, 0, $, $0, or $0.0? I need solution other than formula or a VBA macro that performs this task without deleting rows where only one of the cells in Column J or K meets these criteria, as I need to retain rows where at least one of these columns contains actual data. ### spreadsheet_path /app/spreadsheets/1_577-40_input.xlsx ### instruction_type Sheet-Level Manipulation ### answer_position 'Sheet2'!A1:K54 ### output_path /app/output/1_577-40_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