Datasets › SheetCopilot
SheetCopilot
The SheetCopilot dataset contains 28 evaluation workbooks and 221 spreadsheet manipulation tasks that are applied to these workbooks. These tasks involve diverse atomic actions related to six task categories (i.e. Entry and manipulation, Formatting, Management, Charts, Pivot Table, and Formula).
Dataset statistics:
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Each task possesses one or more ground truth solutions.
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The lengths of the task instructions range from 20 to 530 characters, with most tasks between 80 and 110 characters.
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The number of atomic actions required by each task ranges from 1 to 9.
Evaluation metrics:
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Execution success rate, pass rate, and the number of used actions are evaluated to judge the functional correctness and efficiency of a method.
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A submitted solution is considered correct if the properties to be checked match those of any of the GT solutions of the corresponding task.
Please download the full datasets in our Github Repo:
https://github.com/BraveGroup/SheetCopilot
Thanks for using our dataset!
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Robot Task Planning | SheetCopilot | SheetAgent (GPT-3.5) Pass@1 61.1% | SheetAgent: Towards A Generalist Agent for Spreadsheet... | — | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models | 0 | 1 | 6 Mar 2024 | not harvested |
| SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models | 1 | 1 | 30 May 2023 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- SheetCopilot
1 variant name, as the archive lists them.
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