Replace review release with FormulaCascade eval-200 release version

CROISSANT_RAI_METADATA.json

@@ -0,0 +1,150 @@
+{
+  "@context": {
+    "@language": "en",
+    "@vocab": "https://schema.org/",
+    "arrayShape": "cr:arrayShape",
+    "citeAs": "cr:citeAs",
+    "column": "cr:column",
+    "conformsTo": "dct:conformsTo",
+    "containedIn": "cr:containedIn",
+    "cr": "http://mlcommons.org/croissant/",
+    "rai": "http://mlcommons.org/croissant/RAI/",
+    "data": {
+      "@id": "cr:data",
+      "@type": "@json"
+    },
+    "dataType": {
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+      "@type": "@vocab"
+    },
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+    "equivalentProperty": "cr:equivalentProperty",
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
+    "extract": "cr:extract",
+    "field": "cr:field",
+    "fileProperty": "cr:fileProperty",
+    "fileObject": "cr:fileObject",
+    "fileSet": "cr:fileSet",
+    "format": "cr:format",
+    "includes": "cr:includes",
+    "isArray": "cr:isArray",
+    "isLiveDataset": "cr:isLiveDataset",
+    "jsonPath": "cr:jsonPath",
+    "key": "cr:key",
+    "md5": "cr:md5",
+    "parentField": "cr:parentField",
+    "path": "cr:path",
+    "prov": "http://www.w3.org/ns/prov#",
+    "recordSet": "cr:recordSet",
+    "references": "cr:references",
+    "regex": "cr:regex",
+    "repeated": "cr:repeated",
+    "replace": "cr:replace",
+    "samplingRate": "cr:samplingRate",
+    "sc": "https://schema.org/",
+    "separator": "cr:separator",
+    "source": "cr:source",
+    "subField": "cr:subField",
+    "transform": "cr:transform"
+  },
+  "@type": "sc:Dataset",
+  "name": "FormulaCascade_Benchmark",
+  "alternateName": "FormulaCascade Benchmark",
+  "description": "FormulaCascade is an automatically constructed benchmark for long-horizon spreadsheet formula-dependency and formula-family reasoning in real XLSX workbooks. The full benchmark contains 11,304 tasks across Broad, Core, and Challenge release strata. This hosted review release provides the eval-200 release version with 100 Challenge and 100 Core tasks, balanced into 100 single-sheet and 100 cross-sheet tasks.",
+  "url": "https://huggingface.co/datasets/anonymity11/FormulaCascade_Benchmark",
+  "license": "https://creativecommons.org/licenses/by-nc/4.0/",
+  "conformsTo": "http://mlcommons.org/croissant/1.1",
+  "citeAs": "Anonymous Authors. FormulaCascade: A 10K+ Automatically Constructed Benchmark and Agentic Harness for Long-Horizon Spreadsheet Formula-Dependency Reasoning. NeurIPS 2026 Evaluations and Datasets Track submission.",
+  "version": "1.0.0-release-version",
+  "datePublished": "2026-05-07",
+  "citation": "Anonymous Authors. FormulaCascade: A 10K+ Automatically Constructed Benchmark and Agentic Harness for Long-Horizon Spreadsheet Formula-Dependency Reasoning. NeurIPS 2026 Evaluations and Datasets Track submission.",
+  "keywords": [
+    "spreadsheet reasoning",
+    "formula-dependency reasoning",
+    "formula-family reasoning",
+    "benchmark",
+    "agentic evaluation",
+    "xlsx"
+  ],
+  "isAccessibleForFree": true,
+  "distribution": [
+    {
+      "@type": "cr:FileObject",
+      "@id": "eval200_release_version_archive",
+      "name": "FormulaCascade_Benchmark_eval_200_Release_version.tar.gz",
+      "description": "Compressed archive of the FormulaCascade eval-200 release-version split.",
+      "contentUrl": "https://huggingface.co/datasets/anonymity11/FormulaCascade_Benchmark/resolve/main/FormulaCascade_Benchmark_eval_200_Release_version.tar.gz",
+      "encodingFormat": "application/gzip",
+      "sha256": "ca0a502ef1749d3a2432e363bd75e41398aec7e232112f7c3c19eea47fcb7965"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "readme",
+      "name": "README.md",
+      "description": "Dataset card and usage documentation.",
+      "contentUrl": "https://huggingface.co/datasets/anonymity11/FormulaCascade_Benchmark/resolve/main/README.md",
+      "encodingFormat": "text/markdown",
+      "sha256": "3a9d8571d5971983285f20d088e6eb55baa7e81756673e016cff5678c09471fb"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "sha256sums",
+      "name": "SHA256SUMS.txt",
+      "description": "SHA256 checksums for release integrity verification.",
+      "contentUrl": "https://huggingface.co/datasets/anonymity11/FormulaCascade_Benchmark/resolve/main/SHA256SUMS.txt",
+      "encodingFormat": "text/plain",
+      "sha256": "e0b639f7ce9aa33a585351d9b648da8beee351231e067662ec0bf5addb5a885d"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "croissant_metadata",
+      "name": "CROISSANT_RAI_METADATA.json",
+      "description": "Croissant metadata with Responsible AI fields.",
+      "contentUrl": "https://huggingface.co/datasets/anonymity11/FormulaCascade_Benchmark/resolve/main/CROISSANT_RAI_METADATA.json",
+      "encodingFormat": "application/json",
+      "sha256": "204c9c79c53bff20a9e6b14ea500c045cc54842ec9e72f36bae7404bab3d585d"
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+  ],
+  "rai:dataLimitations": "FormulaCascade evaluates long-horizon spreadsheet formula-dependency and formula-family reasoning in XLSX workbooks. It is not intended to measure unrestricted spreadsheet UI manipulation, macros, demographic fairness, or model safety outside spreadsheet settings. This hosted eval-200 release version is a balanced subset for efficient review and reproducible comparison; full benchmark conclusions should account for the broader 11,304-task release distribution.",
+  "rai:dataBiases": "The dataset inherits selection bias from publicly available spreadsheet corpora and may overrepresent English-language, business-operational, finance, sales, HR, education, engineering, and general data-analysis workbooks. Pipeline filters favor executable, maskable, solvable, non-leaky formula dependency chains, so corrupted, encrypted, macro-dependent, highly visual, very small, or formula-sparse workbooks are underrepresented. The natural-language prompts are generated from visible workbook evidence and may standardize task phrasing beyond the diversity of real user requests.",
+  "rai:personalSensitiveInformation": "The benchmark is derived from public workbook data. Source workbooks may contain labels or values originally authored by spreadsheet users. FormulaCascade applies automated filtering, masking, provenance separation, and release-quality gates, but users should treat workbook contents as public-data-derived artifacts and must not attempt reidentification. The benchmark is not designed to study or infer personal, medical, financial-credit, religious, political, or other legally sensitive attributes.",
+  "rai:dataUseCases": "Intended uses include evaluating spreadsheet agents, testing long-horizon formula reasoning, measuring executable formula reconstruction, comparing harnesses, analyzing dependency-depth scaling, and diagnosing workbook-native tool-use errors. The benchmark is suitable for research evaluation and reproducibility studies. It is not validated for training on private business data, automated decision-making, compliance auditing, or high-stakes financial, employment, legal, or medical deployment.",
+  "rai:dataSocialImpact": "Positive impacts include more transparent evaluation of spreadsheet agents, reproducible measurement of formula-dependency reasoning, and reduced reliance on costly manual task authoring. Potential negative impacts include overfitting spreadsheet agents to public workbook styles, overstating reliability in high-stakes spreadsheet workflows, or using public-derived workbook content outside the intended benchmark setting. Mitigations include solver-visible/evaluator-only separation, documented limitations, release-quality gates, and task-level provenance for error diagnosis.",
+  "rai:hasSyntheticData": true,
+  "prov:wasDerivedFrom": [
+    "https://huggingface.co/datasets/tianzl66/Sheetpedia_xlsx"
+  ],
+  "prov:wasGeneratedBy": "FormulaCascade was generated by an automated reverse formula-mining pipeline over public formula-bearing workbooks: workbook profiling, dependency graph and formula-family mining, deterministic validity/solvability/uniqueness/leakage gates, bilingual task generation, release quality control, and v5 Challenge/Core/Broad stratification. The eval-200 release version contains 100 Challenge and 100 Core tasks, balanced into 100 single-sheet and 100 cross-sheet tasks. Local machine paths were removed from release metadata.",
+  "fileSet": [
+    {
+      "@type": "cr:FileSet",
+      "@id": "release_workbooks",
+      "containedIn": {
+        "@id": "eval200_release_version_archive"
+      },
+      "includes": "FormulaCascade_Benchmark_eval_200_Release_version/release/FCB-*/*.xlsx",
+      "encodingFormat": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "release_task_descriptions",
+      "containedIn": {
+        "@id": "eval200_release_version_archive"
+      },
+      "includes": "FormulaCascade_Benchmark_eval_200_Release_version/release/FCB-*/task_description.json",
+      "encodingFormat": "application/json"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "internal_evaluator_files",
+      "containedIn": {
+        "@id": "eval200_release_version_archive"
+      },
+      "includes": "FormulaCascade_Benchmark_eval_200_Release_version/internal/FCB-*/*",
+      "encodingFormat": "application/octet-stream"
+    }
+  ]
+}

FormulaCascade_Benchmark_eval_200/README.md

@@ -1,71 +0,0 @@
-# FormulaCascade Benchmark — Evaluation Subset (eval-200, v2)
-
-This is a 200-task stratified evaluation subset of the full FormulaCascade Benchmark (11,171 tasks).
-
-## Sampling Design (v2)
-
-- **200 tasks total**: 50 per tier × 4 tiers
-- **Balanced**: 25 single-sheet + 25 cross-sheet per tier
-- **Quality-filtered**: all tasks are verdict=RELEASE, total QC score ≥ 26, D3 ≥ 3, D4 ≥ 3
-- **Diverse**: maximizes domain and formula-family coverage within each tier
-- **Reproducible**: sampled with seed=42 using `resample_eval200_v2.py`
-
-### v2 Improvements over v1
-- All 200 tasks are `verdict=RELEASE` (v1 had 31 HOLD tasks in T4_STANDARD)
-- Minimum QC score raised to 26/30 (v1 allowed 25)
-- T2_HARD: removed extreme outliers with total_masked > 2000
-- T4_STANDARD: depth-stratified (depth=2: 70%, depth=3–4: 20%, depth=5+: 10%) for better differentiation from T3_MEDIUM
-- T1_FRONTIER depth=2 tasks require total_masked ≥ 50 to ensure genuine difficulty
-
-## Tier Distribution
-
-| Tier | Count | Single | Cross | Depth Range | Avg Depth | QC Score (avg) |
-|------|-------|--------|-------|-------------|-----------|----------------|
-| T1_FRONTIER | 50 | 25 | 25 | 2–45 | 10.5 | 27.6 |
-| T2_HARD | 50 | 25 | 25 | 3–4 | 3.4 | 27.8 |
-| T3_MEDIUM | 50 | 25 | 25 | 2 | 2.0 | 27.8 |
-| T4_STANDARD | 50 | 25 | 25 | 2–8 | 2.7 | 26.0 |
-
-## Domain & Formula Coverage
-
-| Domain | Count | Formula Family | Count |
-|--------|-------|----------------|-------|
-| general | 35 | arithmetic | 68 |
-| finance | 34 | conditional | 42 |
-| sales | 31 | aggregation | 39 |
-| data_analysis | 28 | lookup | 33 |
-| education | 19 | ranking | 6 |
-| operations | 19 | | |
-| hr | 17 | | |
-| engineering | 17 | | |
-
-## Directory Structure
-
-```
-FormulaCascade_Benchmark_eval_200/
-├── README.md
-├── manifest_eval200.jsonl        # 200-task metadata (v2)
-├── fcb_id_mapping.json           # FCB-ID ↔ task_id mapping (200 tasks)
-├── eval200_summary_v2.json       # sampling statistics summary
-├── T1_FRONTIER/
-│   ├── release/FCB-NNNNN/        # task_description.json + task-NNNNN.xlsx
-│   └── internal/FCB-NNNNN/       # full provenance + ground truth
-├── T2_HARD/
-├── T3_MEDIUM/
-└── T4_STANDARD/
-```
-
-## Usage
-
-For evaluation, use `release/FCB-NNNNN/task_description.json` (prompt) and
-`release/FCB-NNNNN/task-NNNNN.xlsx` (masked workbook) as solver input.
-
-Ground truth is in `internal/FCB-NNNNN/ground_truth_target.json` (layer-1 target cells).
-
-See the full benchmark README for evaluation protocol details.
-
-## Tier Counts
-- **T1_FRONTIER**: 50 tasks (all RELEASE, depth 2–45, avg depth 10.5)
-- **T2_HARD**: 50 tasks (all RELEASE, depth 3–4)
-- **T3_MEDIUM**: 50 tasks (all RELEASE, depth 2)
-- **T4_STANDARD**: 50 tasks (all RELEASE, depth 2–8)

FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00002/audit.json

@@ -1,506 +0,0 @@
-{
-  "gate": {
-    "pre_nl_gate": {
-      "gate_label": "GATE_PASS",
-      "gate_pass": true,
-      "hard_fails": 0,
-      "warns": 0,
-      "checks": [
-        {
-          "check": "final_target_gate",
-          "pass": true,
-          "detail": "final_target has 13 cells"
-        },
-        {
-          "check": "header_grounding",
-          "pass": true,
-          "severity": "pass",
-          "detail": "1/1 final regions have column_header"
-        },
-        {
-          "check": "mask_consistency",
-          "pass": true,
-          "detail": "mask_last=174344B, src=212945B"
-        },
-        {
-          "check": "dirty_family",
-          "pass": true,
-          "detail": "0 dirty cells"
-        },
-        {
-          "check": "ratio_gate",
-          "pass": true,
-          "detail": "ratio=14.3 (total=186, final=13) [WARN: high mask ratio]"
-        },
-        {
-          "check": "dedup_gate",
-          "pass": true,
-          "detail": "0 duplicate cells across layers"
-        },
-        {
-          "check": "gt_uniqueness",
-          "pass": true,
-          "detail": "29 unique values across 185 cells"
-        },
-        {
-          "check": "tail_artifact",
-          "pass": true,
-          "detail": "0 bad values"
-        },
-        {
-          "check": "unrecoverable_leaf",
-          "pass": true,
-          "detail": "clean",
-          "hidden_const_cells": []
-        },
-        {
-          "check": "adjacent_column_leak",
-          "pass": true,
-          "detail": "leaked: Historical Data (2)!U→V(1/2), Historical Data (2)!W→V(2/2), Historical Data (2)!V→W(2/2), Historical Data (2)!X→W(1/2), Historical Data (2)!W→X(1/2)"
-        },
-        {
-          "check": "header_name_accuracy",
-          "pass": true,
-          "detail": "clean"
-        },
-        {
-          "check": "duplicate_lookup_tie_break",
-          "pass": true,
-          "severity": null,
-          "detail": "13 lookups"
-        },
-        {
-          "check": "src_chain_integrity",
-          "pass": true,
-          "severity": "ok",
-          "detail": "clean",
-          "sub_checks": {
-            "error_cells": {
-              "pass": true,
-              "count": 0,
-              "cells": []
-            },
-            "external_refs": {
-              "pass": true,
-              "count": 0,
-              "cells": []
-            },
-            "volatile_funcs": {
-              "pass": true,
-              "count": 0,
-              "cells": []
-            },
-            "missing_sheets": {
-              "pass": true,
-              "count": 0,
-              "sheets": []
-            },
-            "circular_refs": {
-              "pass": true,
-              "cycle_cells": []
-            }
-          }
-        },
-        {
-          "check": "uniqueness_deep",
-          "pass": true,
-          "severity": "ok",
-          "detail": "clean"
-        }
-      ]
-    },
-    "post_nl_validate": {
-      "validate_label": "SOFT_WARN",
-      "validate_pass": true,
-      "hard_fails": 0,
-      "soft_warns": 2,
-      "checks": [
-        {
-          "check": "cell_range_match",
-          "pass": false,
-          "detail": "contract=88, prompt=1, missing=81",
-          "missing_ranges": [
-            "AA2:AA3",
-            "AB2:AB3",
-            "AC2:AC3",
-            "AD2:AD3",
-            "AE2:AE3",
-            "AF2:AF3",
-            "AG2:AG3",
-            "AH2:AH3",
-            "AI2:AI3",
-            "AJ2:AJ3"
-          ],
-          "severity": "SOFT_WARN"
-        },
-        {
-          "check": "cell_count_match",
-          "pass": true,
-          "detail": "no explicit total found; skipping (natural format)",
-          "severity": "OK"
-        },
-        {
-          "check": "step_count_match",
-          "pass": true,
-          "detail": "contract=44, no explicit steps found (v5 natural format)",
-          "severity": "OK"
-        },
-        {
-          "check": "sheet_name_match",
-          "pass": true,
-          "detail": "contract=['Historical Data (2)'], missing=[]",
-          "severity": "OK"
-        },
-        {
-          "check": "no_formula_leak",
-          "pass": true,
-          "detail": "0 formula leaks",
-          "severity": "OK"
-        },
-        {
-          "check": "no_value_leak",
-          "pass": true,
-          "detail": "0 value leaks out of 13 GT cells",
-          "severity": "OK"
-        },
-        {
-          "check": "final_target_first",
-          "pass": true,
-          "detail": "no explicit final target marker (natural format)",
-          "severity": "OK"
-        },
-        {
-          "check": "output_format",
-          "pass": true,
-          "detail": "output format found",
-          "severity": "OK"
-        },
-        {
-          "check": "header_in_prompt",
-          "pass": true,
-          "detail": "no column headers found in prompt",
-          "severity": "OK"
-        },
-        {
-          "check": "hint_specificity",
-          "pass": true,
-          "detail": "clean",
-          "severity": "OK"
-        },
-        {
-          "check": "evidence_scope",
-          "pass": true,
-          "detail": "no cross-sheet refs in GT",
-          "severity": "OK"
-        },
-        {
-          "check": "exemplar_consistency",
-          "pass": true,
-          "severity": "OK",
-          "detail": "checked 86 col groups; CONFLICTS: Historical Data (2)!DB5: visible='=TEXT(DATE(DB3,DB2,1),\"MMMM\")&' vs GT pattern='=IFERROR(VLOOKUP(DB$#,$A:$O,MA'; Historical Data (2)!DC4: visible='=IF(DC2=DD2,_xlfn.MINIFS($A:$A' vs GT pattern='=IF(DC#=#,DA#+#,DA#)'"
-        },
-        {
-          "check": "nl_gt_operation_consistency",
-          "pass": false,
-          "detail": "GT funcs: ['DATE', 'IF', 'IFERROR', 'MATCH', 'VLOOKUP', 'XLFN.MAXIFS', 'XLFN.MINIFS']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match; GT uses MATCH but NL doesn't mention any of: find, match, position",
-          "severity": "SOFT_WARN"
-        },
-        {
-          "check": "unmatched_default_rule",
-          "pass": true,
-          "detail": "no default-rule phrase found in NL",
-          "severity": "OK"
-        },
-        {
-          "check": "volatile_function_freeze",
-          "pass": true,
-          "detail": "volatile_cells=0",
-          "severity": "OK"
-        },
-        {
-          "check": "direct_answer_leakage",
-          "pass": true,
-          "detail": "0 leaks out of 186 GT cells (0%)",
-          "severity": "OK"
-        }
-      ]
-    },
-    "pre_nl_local": {
-      "local_total": 58,
-      "local_label": "PENDING_NL",
-      "hard_fail_flags": [],
-      "warnings": [
-        "nl_missing"
-      ],
-      "local_subscores": {
-        "family_clean": 25,
-        "target_integrity": 15,
-        "taxonomy": 10,
-        "semantic_signal": 8,
-        "nl_schema": 0,
-        "target_alignment": 0,
-        "business_specificity": 0,
-        "nl_risk": 0
-      }
-    }
-  },
-  "verify": {
-    "uniqueness": {
-      "total_gt_cells": 186,
-      "total_non_none": 186,
-      "block_reasons": [],
-      "warnings": [
-        "mixed_gt_types:{'int': 172, 'float': 13, 'str': 1}"
-      ],
-      "checks": {
-        "rank_tie_risk": {
-          "rank_cells": 0,
-          "tie_issues": 0,
-          "details": []
-        },
-        "trivial_gt": {
-          "issues": []
-        },
-        "gt_type_consistency": {
-          "types": {
-            "int": 172,
-            "float": 13,
-            "str": 1
-          },
-          "mixed": true
-        },
-        "empty_gt": {
-          "count": 0,
-          "details": []
-        }
-      }
-    },
-    "src_chain": {
-      "hard_block": false,
-      "block_reasons": [],
-      "checks": {
-        "error_cells": {
-          "pass": true,
-          "count": 0,
-          "cells": []
-        },
-        "external_refs": {
-          "pass": true,
-          "count": 0,
-          "cells": []
-        },
-        "volatile_funcs": {
-          "pass": true,
-          "count": 0,
-          "cells": []
-        },
-        "missing_sheets": {
-          "pass": true,
-          "count": 0,
-          "sheets": []
-        },
-        "circular_refs": {
-          "pass": true,
-          "cycle_cells": []
-        }
-      },
-      "required_chain_scope": {
-        "external_ref_in_required_chain": 0,
-        "external_ref_in_other": 0,
-        "error_cells_in_required_chain": 0,
-        "error_cells_in_other": 0,
-        "required_chain_cells": 186
-      }
-    },
-    "solver_visibility": {
-      "contract_cells": 186,
-      "total_masked": 186,
-      "total_visible": 14009,
-      "depth": 45,
-      "block_reasons": [],
-      "warnings": [],
-      "checks": {
-        "broken_chains": {
-          "count": 0,
-          "checked": 186,
-          "details": []
-        },
-        "orphan_masks": {
-          "count": 0,
-          "details": []
-        },
-        "self_contained": {
-          "missing_sheets": []
-        }
-      }
-    },
-    "exemplar": {
-      "soft_block": false,
-      "block_reasons": [],
-      "checks": {
-        "pattern_coverage": {
-          "pass": true,
-          "total_gt_patterns": 4,
-          "total_src_patterns": 15,
-          "zero_exemplar_count": 0,
-          "low_exemplar_count": 0
-        },
-        "zero_exemplar_patterns": {
-          "pass": true,
-          "patterns": []
-        },
-        "low_exemplar_patterns": {
-          "pass": true,
-          "patterns": []
-        },
-        "func_coverage": {
-          "IF": {
-            "total_masked": 173,
-            "visible_exemplars": 146
-          },
-          "IFERROR": {
-            "total_masked": 13,
-            "visible_exemplars": 1147
-          }
-        }
-      }
-    },
-    "shortcut": {
-      "shortcut_risk": 0.0,
-      "flags": []
-    },
-    "release_audit": {
-      "surface_single_sheet": true,
-      "surface_sheets": [
-        "Historical Data (2)"
-      ],
-      "cross_sheet_actual": false,
-      "cross_sheet_ref_count": 0,
-      "referenced_sheets": [],
-      "target_shape": "single_column_series",
-      "layer_sizes": [
-        13,
-        1,
-        4,
-        4,
-        4,
-        4,
-        4,
-        4,
-        4,
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