SpreadsheetBench · GPT-5.4 · dual
50683
GPT-5.4 on SpreadsheetBench: 50683 (dual harness). Browse score, rubric, and public trace.
Prompt excerpt
Task context
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): Q2:Q5 Expected answer sheet(s): Task: As a high school golf coach who tracks player scores, I can calculate a player's season average easily. However, I'm struggling to calculate the average of the last four rounds a player has participated in due to the inconsistency in participation, leaving some cells blank. How can I compute the average of the latest four scores for each player, given that the data entry has blank cells where a player did not play in a tournament? For instance, while one player's season average is 81.33, the average for their last four played rounds is 78.75. I've attempted using the offset function without success and need a solution that handles the blank cells in the dataset.
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