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README.md
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---
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license:
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task_categories:
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- table-question-answering
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tags:
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- spreadsheets
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- xlsx
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- formula-reasoning
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- benchmark
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- agentic-evaluation
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pretty_name: FormulaCascade Benchmark
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size_categories:
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- 10K<n<100K
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---
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# FormulaCascade Benchmark
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## Current Release
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This
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- `FormulaCascade_Benchmark_eval_200.tar.gz`: compressed eval-200 split.
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- `SHA256SUMS.txt`: checksum for release integrity verification.
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```bash
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tar -xzf FormulaCascade_Benchmark_eval_200.tar.gz
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```
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``
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## Intended Use
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FormulaCascade
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The full 10K+ benchmark release and additional metadata will be made available through this repository.
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---
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license: cc-by-nc-4.0
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task_categories:
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- table-question-answering
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language:
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- en
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- zh
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tags:
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- spreadsheets
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- xlsx
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- formula-reasoning
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- formula-dependency
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- benchmark
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- agentic-evaluation
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- executable-evaluation
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pretty_name: FormulaCascade Benchmark
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: eval_200_manifest
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data_files:
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- split: test
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path: data/eval_200_manifest.parquet
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---
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# FormulaCascade Benchmark
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FormulaCascade is a benchmark for long-horizon spreadsheet formula-dependency reasoning in real executable `.xlsx` workbooks. It evaluates whether agents can recover hidden workbook logic by localizing relevant regions, tracing formula dependencies, reconstructing latent formulas or values, and filling masked target cells.
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## Current Review Release
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This repository currently hosts the standard **eval-200** split used for reproducible model comparison. The split is a stratified subset of the full **11,171-task** FormulaCascade benchmark:
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- **200 tasks total**: 50 tasks per tier.
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- **Balanced sheet topology**: 25 single-sheet and 25 cross-sheet tasks per tier.
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- **Four quality-difficulty tiers**: `T1_FRONTIER`, `T2_HARD`, `T3_MEDIUM`, and `T4_STANDARD`.
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- **Executable artifacts**: solver-visible masked workbooks plus evaluator-only contracts for hidden targets, formulas, cached values, dependency layers, and provenance.
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Uploaded files include:
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- `FormulaCascade_Benchmark_eval_200.tar.gz`: compressed eval-200 split.
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- `FormulaCascade_Benchmark_eval_200/`: expanded eval-200 directory for direct browsing.
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- `data/eval_200_manifest.parquet`: lightweight tabular manifest for the Hugging Face Dataset Viewer.
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- `data/eval_200_manifest.csv` and `data/eval_200_manifest.jsonl`: equivalent manifest exports for convenience.
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- `SHA256SUMS.txt`: checksum for release integrity verification.
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The full benchmark contains **11,171 bilingual tasks** across finance, sales, operations, engineering, HR, education, and general analytics workbooks, with dependency depth up to 46 and substantial cross-sheet structure. The full release uses the same task schema, hidden-contract format, and tiered directory layout as eval-200.
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## Dataset Viewer
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The Dataset Viewer displays `data/eval_200_manifest.parquet`, not the raw `.xlsx` files. Spreadsheet workbooks and hidden contracts are stored as repository files and should be downloaded or browsed directly.
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Manifest columns include:
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- `fcb_id`: stable task identifier.
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- `tier` / `tier_label`: quality-difficulty tier.
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- `category`: `single_sheet` or `cross_sheet`.
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- `domain`: workbook domain label.
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- `depth`: dependency-chain depth.
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- `is_cross_sheet`: whether the task requires cross-sheet reasoning.
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- `total_masked`: number of masked cells.
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- `formula_families`: coarse formula-family labels.
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- `masked_workbook`: path to the solver-visible workbook.
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- `task_description`: path to the natural-language task description.
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- `evaluator_contract_dir`: path to evaluator-only ground-truth contracts.
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## Usage
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Download the archive:
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```bash
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tar -xzf FormulaCascade_Benchmark_eval_200.tar.gz
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```
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For each task, provide the solver with:
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- `release/FCB-NNNNN/task_description.json`
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- `release/FCB-NNNNN/task-NNNNN.xlsx`
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Use the corresponding `internal/FCB-NNNNN/` directory for evaluation only. It contains target contracts, dependency layers, ground truth, provenance, and release-quality audit files.
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## Intended Use
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FormulaCascade is intended for evaluating spreadsheet agents, LLM tool-use systems, formula-reasoning methods, and spreadsheet-native harnesses under controlled executable conditions. It is designed for research, benchmarking, diagnostics, and reproducibility studies.
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## Out-of-Scope Use
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FormulaCascade is not intended for training production models on evaluator-only hidden contracts, making decisions about individuals, or evaluating unrestricted spreadsheet UI automation, macro execution, or non-spreadsheet office workflows.
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## License
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Creative Commons Attribution-NonCommercial 4.0 International (**CC BY-NC 4.0**).
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