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SpreadsheetBench

560-12

0/1Fail

SpreadsheetBench task 560-12. Inspect the exact spreadsheet prompt, compare published model runs, open the agent response trace, and review grades for workbook editing.

Spreadsheet editingDual harness
ssb-560-12
SpreadsheetBench
1 model
Dual (parsed + original)
PromptWorkbook objective and answer cells
ResponseOpen each trace to inspect tool use and edits
GradeCompare score and pass/fail by model

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): A1:D10 Expected answer region(s): '工作表1'!I2:J7 Expected answer sheet(s): 工作表1 Task: How can I efficiently count the quantity of each item from a table that sometimes contains over ten thousand rows of data? I have previously used the subtotal formula, but it is time-consuming, especially when dealing with over a hundred items.The answer should be put from I3 with the Headers "ITEM" (from column B) and "Qty" (count). Sort the "ITEM" column from first to last in the order: A006, A004, A005 and calculate the corresponding count in the adjacent columns. Left align entire answer range with no other formatting applied

Published trajectories

Agent runs on this task

Curated dual-harness runs. Best scored run per model.

ModelHarnessScoreResultLinks
GPT-5.4showcasedual0/1Fail