Add FormulaCascade eval-200 archive

FormulaCascade_Benchmark_eval_200.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b34b8f2f3dfeecfc24540d7f9eae534ec7add20938e8c3504ee25df7f1dc5242
+size 139530429

README.md

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----
-license: mit
----
+---
+license: other
+task_categories:
+- tabular-question-answering
+- table-question-answering
+tags:
+- spreadsheets
+- xlsx
+- formula-reasoning
+- benchmark
+- agentic-evaluation
+pretty_name: FormulaCascade Benchmark
+size_categories:
+- 10K<n<100K
+---
+
+# FormulaCascade Benchmark
+
+This repository hosts an anonymous release of FormulaCascade, a benchmark for long-horizon spreadsheet formula reasoning in real `.xlsx` workbooks.
+
+## Current Release
+
+This initial upload contains the standard 200-task evaluation split:
+
+- `FormulaCascade_Benchmark_eval_200.tar.gz`: compressed eval-200 split.
+- `SHA256SUMS.txt`: checksum for release integrity verification.
+
+To unpack:
+
+```bash
+tar -xzf FormulaCascade_Benchmark_eval_200.tar.gz
+```
+
+The extracted folder is:
+
+```text
+FormulaCascade_Benchmark_eval_200/
+```
+
+## Intended Use
+
+FormulaCascade evaluates agents that must solve masked spreadsheet tasks by localizing relevant workbook context, tracing formula dependencies, reconstructing latent workbook logic, and filling hidden targets with executable values or formulas.
+
+The full 10K+ benchmark release and additional metadata will be made available through this repository.

SHA256SUMS.txt

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+b34b8f2f3dfeecfc24540d7f9eae534ec7add20938e8c3504ee25df7f1dc5242  /home/dataset-local/chengyilin/NIPS2026投稿写作与最终整理/FormulaCascade_NIPSOral_FINAL/hf_release_artifacts/FormulaCascade_Benchmark_eval_200.tar.gz