SpreadsheetBench
47766
SpreadsheetBench task 47766. Inspect the exact spreadsheet prompt, compare published model runs, open the agent response trace, and review grades for workbook editing.
Task prompt
What the agent was asked to do
You are solving a spreadsheet benchmark task in a real workbook. Objective: Produce the correct final workbook state for the expected answer region. What matters: - Only the values in the expected answer region will be graded. - The workbook is the answer. Instructions: 1. Read the workbook and inspect the relevant data region first. 2. Infer the required result for the provided workbook instance. 3. Write the final value(s) directly into the expected answer region. 4. Do not rely on prose, formulas in your chat response, pseudocode, or VBA as the answer unless the benchmark explicitly requires those to be written into cells. 5. If the natural-language task asks for a general method, formula, or macro, convert that into the concrete result needed for this workbook instance. 6. Keep your final text response short and only summarize the workbook cells you changed. Relevant data region(s): Expected answer region(s): K40 Expected answer sheet(s): Task: I am attempting to calculate my agent's yearly production which includes yearly bonuses that reset annually. In the Excel spreadsheet I attached, I have used SUMIF formulas to calculate their total production based on certain criteria, such as including "*PE*" in my searches: =SUMIF($H$8:$H$37,"*PE*",$C$8:$C$37), =SUMIF($H$41:$H$58,"*PE*",$C$41:$C$58), =SUMIF($H$62:$H$74,"*PE*",$C$62:$C$74). However, I am having trouble adapting these formulas to work with a date range for the start and end of the year, using closing dates that are found in Column F. I would like to find out how to modify these formulas or use a different approach to consider the date range for accurately calculating annual production. Please change the values in table J39:O53 to reflect the correct yearly totals.
Published trajectories
Agent runs on this task
Curated dual-harness runs. Best scored run per model.
| Model | Harness | Score | Result | Links |
|---|---|---|---|---|
| GPT-5.4showcase | dual | 0/1 | Fail | Share pagePublic trace |