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+ "row_count": 1, + "pattern_id": "pf_0007", + "normalized_pattern": "=SUM([C,R-3]:[C,R-1])", + "sample_formula": "=SUM(D40:D42)" + }, + { + "region_ids": [ + "rg_00025" + ], + "sheet": "Overview", + "col": "D", + "rows": [ + 46 + ], + "row_ranges": "46", + "row_count": 1, + "pattern_id": "pf_0008", + "normalized_pattern": "=SUM([C,R-2]:[C,R-1])", + "sample_formula": "=SUM(D44:D45)" + }, + { + "region_ids": [ + "rg_00026" + ], + "sheet": "Overview", + "col": "D", + "rows": [ + 82 + ], + "row_ranges": "82", + "row_count": 1, + "pattern_id": "pf_0009", + "normalized_pattern": "=SUM([C,R-9]:[C,R-1])", + "sample_formula": "=SUM(D73:D81)" + } + ], + "new_eval_cells": 11, + "total_masked_cells": 28 + } + ], + "sink": { + "region_id": "rg_00001", + "sheet": "Sheet2", + "col": "D", + "pattern_id": "pf_0000", + "row_count": 17, + "family_size": 17 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..a55180a6ad06248eefb31680b4a75c73ec91be39 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..09c443a9564a0b8ce71f3b3f67280369fd89b98f --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_6aaba94db4e5", + "prompt_en": "Sheet2 is an analysis table with columns like ID, Merchant Name, Amount, Sold, Total, and Available, alongside the merchant-by-month layout visible elsewhere in the workbook. Please complete the blank entries in the Sold column on Sheet2, specifically D6:D22. The related monthly merchant figures in the workbook should be in place so the Sheet2 rows are consistent with the rest of the report. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "Sheet2 是一张分析表，包含 ID、Merchant Name、Amount、Sold、Total 和 Available 等列，工作簿中其他位置还可以看到按 Month 和 Merchant A 到 Merchant D 展开的数据。请补全 Sheet2 中 Sold 列的空白项，具体位置是 D6:D22。工作簿里的相关月度商户数据需要保持完整，这样 Sheet2 的各行才能和整份报表一致。完成后，请将文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt identifies the workbook context, target sheet/column/range, and the natural dependency on related monthly merchant figures without giving calculation or formula hints.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 42.9, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..e88ef255f73ff525b53ffbf7c279bde818cd3447 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT — mask boundary is clean, cells are real, GT is consistent, and the dependency chain is reconstructible from visible cross-sheet formulas and row-group structure.", + "D1": { + "score": 5, + "reason": "All 28 contract cells are real in-sheet cells, with no phantom references. The mask diff shows exactly 28 truly masked cells, no unmasked contract cells, and no extra masked cells. Formula-cache-loss entries are correctly non-issues. Although adjacent Sheet2 columns expose the SUMPRODUCT structure, the overall task is not fully trivial because the masked Overview Sold subtotal cells still require reconstructing the prerequisite layer." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas consistently aggregate Overview column D by matching merchant names in Overview column B to Sheet2 column B. Cached values align with the visible prerequisite values and subtotal logic, including the masked Overview summary rows. The formulas are deterministic and use fixed ranges with no volatile or ambiguous behavior." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the final cells to complete, Sheet2!D6:D22, and names the Sold column. It also hints that related monthly merchant figures elsewhere in the workbook must be consistent. Minor weakness: it does not explicitly name the Overview sheet or list the prerequisite cells, so the solver must discover that relationship from workbook evidence." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the prompt, the task is solvable. The Sheet2 adjacent columns show the same cross-sheet SUMPRODUCT aggregation pattern for Amount, Total, Available, and Month, making the missing Sold aggregation pattern inferable. The Overview sheet visibly contains merchant summary rows and preceding detail rows in column D, giving a structural clue that the masked merchant Sold cells are subtotals of the visible detail rows above them. The prompt’s mention of related monthly merchant figures supports filling those prerequisite Sold figures. The main gap is that the Overview subtotal rule is implicit rather than directly described or exemplified by an unmasked formula, but it is reasonably inferable from layout and visible data.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source spreadsheet appears structurally sound: formulas are coherent, no circular or broken references are indicated, and the merchant aggregation layout is internally consistent. Sheet2 has meaningful headers. The Overview sheet has a somewhat sparse/report-style layout with blank header area and mixed detail/summary rows, which is less polished but not corrupt or invalid." + }, + "D6": { + "score": 5, + "reason": "The NL sounds like a realistic workplace spreadsheet completion request. It avoids benchmark jargon, names the business-relevant column, and asks for the file to be saved as an .xlsx workbook." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality chain-masked cross-sheet task. The mask is clean, GT is correct, and the task is hard but solvable from visible workbook structure and the NL prompt. Minor clarity weakness around the unnamed Overview dependency does not block release.", + "frontier_hardness": { + "score": 3, + "reason": "This is moderately hard: it requires cross-sheet reasoning and reconstructing both the Sheet2 aggregation formula and the Overview subtotal prerequisites. However, adjacent Sheet2 formulas strongly reveal the SUMPRODUCT pattern, and the Overview subtotal rows are simple contiguous sums, so a frontier model with spreadsheet reasoning would have a reasonable chance of success.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 33557, + "_timing_load_workbooks": 0.04, + "_timing_context": 0.0, + "_timing_api": 176.03, + "local_difficulty": { + "difficulty_score": 62.6, + "difficulty": "hard", + "depth": 2, + "total_masked": 28, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 7, + "cross_refs": 34, + "visible_exemplar_ratio": 0.056 + }, + "task_id": "cross_sheet__dag_6aaba94db4e5", + "elapsed": 176.1, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..31a685b3ec00fa50658405d844d37ceb0b5172d3 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..f6b622ab7ec0d196bb068e23f67ffc458c0b579f --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/target_contract.json @@ -0,0 +1,78 @@ +{ + "task_id": "cross_sheet__dag_6aaba94db4e5", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Sheet2", + "column": "D", + "column_header": "Sold", + "cell_range": "D6:D22", + "cell_count": 17, + "rows": [ + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22 + ], + "first_row_label": "Merchant A", + "last_row_label": "Merchant Q" + } + ], + "cell_count": 17, + "formula_families": [ + "aggregation" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Overview", + "column": "D", + "column_header": "Sold", + "cell_range": "D16, D26, D32, D38, D43, D46, D55, D64, D72, D82, D90", + "cell_count": 11, + "rows": [ + 16, + 26, + 32, + 38, + 43, + 46, + 55, + 64, + 72, + 82, + 90 + ], + "first_row_label": "Merchant A", + "last_row_label": "Merchant Q" + } + ], + "cell_count": 11 + } + ], + "total_prerequisite_cells": 11, + "total_masked_cells": 28, + "ratio_total_vs_final": 1.6, + "sheets_involved": [ + "Overview", + "Sheet2" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..b62d9f57abcec48e69adf17ca2c4af262c6dbf3d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04221/task_meta.json @@ -0,0 +1,46 @@ +{ + "fcb_id": "FCB-04221", + "task_id": "cross_sheet__dag_6aaba94db4e5", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 28, + "is_cross_sheet": true, + "prompt_en": "Sheet2 is an analysis table with columns like ID, Merchant Name, Amount, Sold, Total, and Available, alongside the merchant-by-month layout visible elsewhere in the workbook. Please complete the blank entries in the Sold column on Sheet2, specifically D6:D22. The related monthly merchant figures in the workbook should be in place so the Sheet2 rows are consistent with the rest of the report. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "Sheet2 是一张分析表，包含 ID、Merchant Name、Amount、Sold、Total 和 Available 等列，工作簿中其他位置还可以看到按 Month 和 Merchant A 到 Merchant D 展开的数据。请补全 Sheet2 中 Sold 列的空白项，具体位置是 D6:D22。工作簿里的相关月度商户数据需要保持完整，这样 Sheet2 的各行才能和整份报表一致。完成后，请将文件保存为 .xlsx 工作簿。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 4, + "D6": 5, + "frontier_hardness": 3, + "local_difficulty": 62.6 + }, + "source_file_id": "117632d1312917652-referencing-group-summary-and-sorting-example1-1-", + "inferred_domain": "data_analysis", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Overview", + "used_range": "A3:G90", + "row_count": 88, + "col_count": 7, + "has_header": false, + "title_hint": "Overview", + "header_info": null + }, + { + "name": "Sheet2", + "used_range": "A1:G22", + "row_count": 22, + "col_count": 7, + "has_header": false, + "title_hint": "Sheet2", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..9b45ed01ab9734cd02d046097a5e3cbe74dec070 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/audit.json @@ -0,0 +1,423 @@ +{ + "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 10 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=43209B, src=57938B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=5.0 (total=50, final=10)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "10 unique values across 50 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: Citigroup Rate Max AD&D Life!W→Citigroup Rate Chart!W(40/40)" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "detail": "no lookup formulas" + }, + { + "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=5, prompt=1, missing=4", + "missing_ranges": [ + "W17:W26", + "W28:W37", + "W39:W48", + "W6:W15" + ], + "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=1, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": false, + "detail": "contract=['Citigroup Rate Chart', 'LTD'], missing=['Citigroup Rate Chart']", + "severity": "INFO" + }, + { + "check": "no_formula_leak", + "pass": true, + "detail": "0 formula leaks", + "severity": "OK" + }, + { + "check": "no_value_leak", + "pass": true, + "detail": "0 value leaks out of 10 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": false, + "detail": "referenced=2 mentioned=0 missing=2 [Citigroup Rate Chart, Dental & Other Rates]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 2 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['SUM']", + "severity": "OK" + }, + { + "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 50 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": 50, + "total_non_none": 50, + "block_reasons": [], + "warnings": [ + "mixed_gt_types:{'float': 15, 'int': 35}" + ], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "float": 15, + "int": 35 + }, + "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": 50 + } + }, + "solver_visibility": { + "contract_cells": 50, + "total_masked": 50, + "total_visible": 2236, + "depth": 2, + "block_reasons": [], + "warnings": [], + "checks": { + "broken_chains": { + "count": 0, + "checked": 50, + "details": [] + }, + "orphan_masks": { + "count": 0, + "details": [] + }, + "self_contained": { + "missing_sheets": [] + } + } + }, + "exemplar": { + "soft_block": false, + "block_reasons": [], + "checks": { + "pattern_coverage": { + "pass": true, + "total_gt_patterns": 2, + "total_src_patterns": 18, + "zero_exemplar_count": 0, + "low_exemplar_count": 0 + }, + "zero_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "low_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "func_coverage": { + "SUM": { + "total_masked": 40, + "visible_exemplars": 994 + }, + "reference": { + "total_masked": 10, + "visible_exemplars": 2 + } + } + } + }, + "shortcut": { + "shortcut_risk": 0.2, + "flags": [ + { + "code": "SC3", + "description": "Copy-from-visible: 5/50 GT cells have nearby visible formula clones", + "affected_cells": 5, + "severity": "low" + } + ] + }, + "release_audit": { + "surface_single_sheet": false, + "surface_sheets": [ + "Citigroup Rate Chart", + "LTD" + ], + "cross_sheet_actual": true, + "cross_sheet_ref_count": 50, + "referenced_sheets": [ + "Citigroup Rate Chart", + "Dental & Other Rates" + ], + "target_shape": "single_column_series", + "layer_sizes": [ + 10, + 40 + ], + "mask_last_total_cells": 50, + "layer_growth_ratios": [ + 4.0 + ], + "pattern_dominance_ratio": 0.24, + "visible_clone_regions": 16, + "nearby_visible_clone_regions": 0, + "nearby_visible_clone_rows": 0, + "nearby_visible_clone_ratio": 0.0, + "promptability_score": 1.0, + "release_reasons": [], + "release_verdict": "KEEP" + } + }, + "difficulty": { + "task_id": "cross_sheet__dag_7ad6495c8978", + "difficulty_score": 63.1, + "difficulty": "hard", + "depth": 2, + "total_masked": 50, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 7.0, + "cross_refs": 50, + "visible_exemplar_ratio": 0.167, + "score_breakdown": { + "depth": 7, + "cross_sheet": 10, + "cell_count": 11.3, + "patterns": 6, + "complexity": 10.5, + "cross_refs": 10, + "vis_penalty": 8.3 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_full.json new file mode 100644 index 0000000000000000000000000000000000000000..2d1d3ecd1c4ff025527eea7fe6224d6a020fcee6 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_full.json @@ -0,0 +1,452 @@ +[ + { + "sheet": "LTD", + "col": "C", + "row": 4, + "formula": "='Citigroup Rate Chart'!W6", + "cached_value": 7.8, + "pattern_id": "pf_0021", + "layer": 1 + }, + { + "sheet": "LTD", + "col": "C", + "row": 5, + "formula": "='Citigroup Rate Chart'!W7", + "cached_value": 8.125, + "pattern_id": "pf_0021", + "layer": 1 + }, + { + "sheet": "LTD", + "col": "C", + "row": 6, + "formula": "='Citigroup Rate Chart'!W8", + "cached_value": 13, + "pattern_id": "pf_0021", + "layer": 1 + }, + { + "sheet": "LTD", + "col": "C", + "row": 7, + "formula": "='Citigroup Rate Chart'!W9", + "cached_value": 27, + "pattern_id": "pf_0021", + "layer": 1 + }, + { + "sheet": "LTD", + "col": "C", + "row": 8, + "formula": "='Citigroup Rate Chart'!W10", + "cached_value": 36, + "pattern_id": "pf_0021", + "layer": 1 + }, + { + "sheet": "LTD", + "col": "C", + "row": 9, + "formula": "='Citigroup Rate Chart'!W11", + "cached_value": 45, + "pattern_id": "pf_0021", + "layer": 1 + }, + { + "sheet": "LTD", + "col": "C", + "row": 10, + "formula": "='Citigroup Rate Chart'!W12", + "cached_value": 105, + "pattern_id": "pf_0021", + "layer": 1 + }, + { + "sheet": "LTD", + "col": "C", + "row": 11, + "formula": "='Citigroup Rate Chart'!W13", + "cached_value": 140, + "pattern_id": "pf_0021", + "layer": 1 + }, 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"=SUM(A34/$W$4*'Dental & Other Rates'!$B$41/12)", + "cached_value": 105, + "pattern_id": "pf_0019", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 35, + "formula": "=SUM(A35/$W$4*'Dental & Other Rates'!$B$41/12)", + "cached_value": 140, + "pattern_id": "pf_0019", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 45, + "formula": "=SUM(A45/$W$4*'Dental & Other Rates'!$B$41/12)", + "cached_value": 105, + "pattern_id": "pf_0019", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 46, + "formula": "=SUM(A46/$W$4*'Dental & Other Rates'!$B$41/12)", + "cached_value": 140, + "pattern_id": "pf_0019", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 14, + "formula": "=SUM(A14/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 235, + "pattern_id": "pf_0020", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 15, + "formula": "=SUM(A15/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 391.6666666666667, + "pattern_id": "pf_0020", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 25, + "formula": "=SUM(A25/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 235, + "pattern_id": "pf_0020", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 26, + "formula": "=SUM(A26/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 391.6666666666667, + "pattern_id": "pf_0020", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 36, + "formula": "=SUM(A36/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 235, + "pattern_id": "pf_0020", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 37, + "formula": "=SUM(A37/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 391.6666666666667, + "pattern_id": "pf_0020", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 47, + "formula": "=SUM(A47/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 235, + "pattern_id": "pf_0020", + "layer": 2 + }, + { + "sheet": "Citigroup Rate Chart", + "col": "W", + "row": 48, + "formula": "=SUM(A48/$W$4*'Dental & Other Rates'!$B$42/12)", + "cached_value": 391.6666666666667, + "pattern_id": "pf_0020", + "layer": 2 + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_target.json new file mode 100644 index 0000000000000000000000000000000000000000..fd9d98376dbf45d1ddd0309626aa0bac22913e4c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/ground_truth_target.json @@ -0,0 +1,82 @@ +[ + { + "sheet": "LTD", + "col": "C", + "row": 4, + "formula": "='Citigroup Rate Chart'!W6", + "cached_value": 7.8, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 5, + "formula": "='Citigroup Rate Chart'!W7", + "cached_value": 8.125, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 6, + "formula": "='Citigroup Rate Chart'!W8", + "cached_value": 13, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 7, + "formula": "='Citigroup Rate Chart'!W9", + "cached_value": 27, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 8, + "formula": "='Citigroup Rate Chart'!W10", + "cached_value": 36, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 9, + "formula": "='Citigroup Rate Chart'!W11", + "cached_value": 45, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 10, + "formula": "='Citigroup Rate Chart'!W12", + "cached_value": 105, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 11, + "formula": "='Citigroup Rate Chart'!W13", + "cached_value": 140, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 12, + "formula": "='Citigroup Rate Chart'!W14", + "cached_value": 235, + "pattern_id": "pf_0021" + }, + { + "sheet": "LTD", + "col": "C", + "row": 13, + "formula": "='Citigroup Rate Chart'!W15", + "cached_value": 391.6666666666667, + "pattern_id": "pf_0021" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/layers.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..14699dab71369a755da6fc896d9a4c02e133311b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/layers.json @@ -0,0 +1,169 @@ +{ + "dag_id": "dag_7ad6495c8978", + "file_id": "louise_kitchen__22821__Hardship Rates", + "category": "cross_sheet", + "surface_category": "cross_sheet", + "effective_category": "cross_sheet", + "depth": 2, + "quality": { + "chain_error_cells": 0, + "chain_external_cells": 0, + "is_clean": true + }, + "layers": [ + { + "layer_index": 1, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00128" + ], + "sheet": "LTD", + "col": "C", + "rows": [ + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13 + ], + "row_ranges": "4-13", + "row_count": 10, + "pattern_id": "pf_0021", + "normalized_pattern": "='CITIGROUPRATECHART'![C+20,R+2]", + "sample_formula": "='Citigroup Rate Chart'!W6" + } + ], + "new_eval_cells": 10, + "total_masked_cells": 10 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00096", + "rg_00097", + "rg_00098", + "rg_00099" + ], + "sheet": "Citigroup Rate Chart", + "col": "W", + "rows": [ + 6, + 7, + 8, + 17, + 18, + 19, + 28, + 29, + 30, + 39, + 40, + 41 + ], + "row_ranges": "6-8,17-19,28-30,39-41", + "row_count": 12, + "pattern_id": "pf_0017", + "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$39]/12)", + "sample_formula": "=SUM(A6/$W$4*'Dental & Other Rates'!$B$39/12)" + }, + { + "region_ids": [ + "rg_00104", + "rg_00105", + "rg_00106", + "rg_00107" + ], + "sheet": "Citigroup Rate Chart", + "col": "W", + "rows": [ + 9, + 10, + 11, + 20, + 21, + 22, + 31, + 32, + 33, + 42, + 43, + 44 + ], + "row_ranges": "9-11,20-22,31-33,42-44", + "row_count": 12, + "pattern_id": "pf_0018", + "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$40]/12)", + "sample_formula": "=SUM(A9/$W$4*'Dental & Other Rates'!$B$40/12)" + }, + { + "region_ids": [ + "rg_00112", + "rg_00113", + "rg_00114", + "rg_00115" + ], + "sheet": "Citigroup Rate Chart", + "col": "W", + "rows": [ + 12, + 13, + 23, + 24, + 34, + 35, + 45, + 46 + ], + "row_ranges": "12-13,23-24,34-35,45-46", + "row_count": 8, + "pattern_id": "pf_0019", + "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$41]/12)", + "sample_formula": "=SUM(A12/$W$4*'Dental & Other Rates'!$B$41/12)" + }, + { + "region_ids": [ + "rg_00120", + "rg_00121", + "rg_00122", + "rg_00123" + ], + "sheet": "Citigroup Rate Chart", + "col": "W", + "rows": [ + 14, + 15, + 25, + 26, + 36, + 37, + 47, + 48 + ], + "row_ranges": "14-15,25-26,36-37,47-48", + "row_count": 8, + "pattern_id": "pf_0020", + "normalized_pattern": "=SUM([C-22,R]/[$W,$4]*'DENTAL&OTHERRATES'![$B,$42]/12)", + "sample_formula": "=SUM(A14/$W$4*'Dental & Other Rates'!$B$42/12)" + } + ], + "new_eval_cells": 40, + "total_masked_cells": 50 + } + ], + "sink": { + "region_id": "rg_00128", + "sheet": "LTD", + "col": "C", + "pattern_id": "pf_0021", + "row_count": 10, + "family_size": 10 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..c431b5a8e75caf4d944ba9115b627cc4ff296044 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..06a7a181b9fc1dba98dcc69510dba402651f6345 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_7ad6495c8978", + "prompt_en": "The HR benefits workbook has plan sections such as MEDICAL PLANS, Dental Plans, Vision Plan, and an LTD sheet used alongside payroll processing details like Coverage Level and Employee Only. On the LTD sheet, please fill in the blank entries in the \"LTD Monthly Premium Per $1000\" column, specifically cells C4:C13. Some blank benefit-plan fields in the workbook naturally feed into other blank fields, so make sure the related figures are in place before finalizing the LTD column. Please save the completed file as an .xlsx workbook.", + "prompt_cn": "这份人力资源福利工作簿包含 MEDICAL PLANS、Dental Plans、Vision Plan 等计划板块，以及与薪资处理相关的 LTD 工作表，里面还能看到 Coverage Level、Employee Only 等信息。请在 LTD 工作表中补全 “LTD Monthly Premium Per $1000” 这一列的空白项，位置是 C4:C13。工作簿里有些空白的福利计划字段会自然影响其他空白字段，所以在确认 LTD 列之前，请确保相关数字也已经补齐。请将完成后的文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt names the relevant sheet, column, and range, frames the HR/payroll benefits context using visible labels only, and avoids formulas or operational hints.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 36.0, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..d5ca50c0d8b86b5712696c9b96e69fe3bb0d50a8 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: the mask is clean and the cross-sheet dependency chain appears reconstructible from visible workbook structure, though the NL prompt is somewhat vague about prerequisite sheets.", + "D1": { + "score": 5, + "reason": "All 50 contract cells are truly masked, there are no extra masked cells, no contract cells left unmasked, and no phantom ranges beyond the sheet dimensions. Formula-cache-loss artifacts are correctly outside the true mask count. Visible exemplars/structural clues do not appear to make the task trivially row-copyable without reasoning through the cross-sheet dependency." + }, + "D2": { + "score": 5, + "reason": "The layer-1 ground-truth formulas consistently link LTD!C4:C13 to Citigroup Rate Chart!W6:W15, matching the visible LTD headers and cached values. The formulas are deterministic cross-sheet references with no ambiguity or volatile behavior." + }, + "D3": { + "score": 4, + "reason": "The prompt clearly identifies the target sheet, column, and exact cells C4:C13 to fill. It also warns that related blank fields feed other blanks. However, it does not explicitly name the Citigroup Rate Chart or Dental & Other Rates prerequisite sources, so the dependency-discovery portion is only indirectly described." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the NL prompt, the final LTD cells are identifiable: LTD!C1 and C3 visibly reference Citigroup Rate Chart W2/W4, strongly indicating C4:C13 should draw from the corresponding W6:W15 rate rows. The prerequisite W column has visible headers, constants such as W4=1000 and W3/W16/W27/W38=60%, adjacent row structures, and workbook sheets containing related Citigroup rate data. The solver must still infer the exact prerequisite calculation and source-rate rows, especially because the NL does not name the referenced sheets, but the workbook provides enough structural evidence for reconstruction with effort.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook appears internally consistent: meaningful headers, coherent benefits-rate sheets, deterministic formulas, no indicated circular references, broken formulas, corrupted values, or chain errors. The cached values align with the formulas shown in the provided source context." + }, + "D6": { + "score": 4, + "reason": "The request sounds reasonably like a workplace HR/benefits spreadsheet task and avoids overt benchmark jargon. The phrase about blank fields feeding other blank fields is slightly artificial, but still understandable in context." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality cross-sheet chain-masking task with clean mask boundaries, correct ground truth, and sufficient visible workbook evidence. The only notable weakness is that the NL prompt is somewhat indirect about the prerequisite sheets, but this is not a fundamental solvability issue.", + "frontier_hardness": { + "score": 3, + "reason": "The task is moderately hard because it requires cross-sheet dependency reconstruction and filling both prerequisite and final cells, but the chain depth is only 2 and there are only two main formula patterns. A frontier model may struggle with locating and applying the prerequisite rate logic, but the workbook structure provides enough clues.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 32631, + "_timing_load_workbooks": 0.34, + "_timing_context": 0.01, + "_timing_api": 58.01, + "local_difficulty": { + "difficulty_score": 63.1, + "difficulty": "hard", + "depth": 2, + "total_masked": 50, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 7, + "cross_refs": 50, + "visible_exemplar_ratio": 0.167 + }, + "task_id": "cross_sheet__dag_7ad6495c8978", + "elapsed": 58.4, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..13f61181dd08997bd20c027f67a29501d0e88610 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..027fa9c94ae0928833edb0003d1ef9db99e3f1d6 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/target_contract.json @@ -0,0 +1,98 @@ +{ + "task_id": "cross_sheet__dag_7ad6495c8978", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "LTD", + "column": "C", + "column_header": "LTD Monthly Premium Per $1000", + "cell_range": "C4:C13", + "cell_count": 10, + "rows": [ + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13 + ], + "first_row_label": "<25,000", + "last_row_label": ">500,000" + } + ], + "cell_count": 10, + "formula_families": [] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Citigroup Rate Chart", + "column": "W", + "column_header": "60%", + "cell_range": "W6:W15, W17:W26, W28:W37, W39:W48", + "cell_count": 40, + "rows": [ + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48 + ], + "first_row_label": "<25,000", + "last_row_label": ">500,000" + } + ], + "cell_count": 40 + } + ], + "total_prerequisite_cells": 40, + "total_masked_cells": 50, + "ratio_total_vs_final": 5.0, + "sheets_involved": [ + "Citigroup Rate Chart", + "LTD" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..5fd6947f7589992152dce8d868b38d25111c20c8 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04240/task_meta.json @@ -0,0 +1,111 @@ +{ + "fcb_id": "FCB-04240", + "task_id": "cross_sheet__dag_7ad6495c8978", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 50, + "is_cross_sheet": true, + "prompt_en": "The HR benefits workbook has plan sections such as MEDICAL PLANS, Dental Plans, Vision Plan, and an LTD sheet used alongside payroll processing details like Coverage Level and Employee Only. On the LTD sheet, please fill in the blank entries in the \"LTD Monthly Premium Per $1000\" column, specifically cells C4:C13. Some blank benefit-plan fields in the workbook naturally feed into other blank fields, so make sure the related figures are in place before finalizing the LTD column. Please save the completed file as an .xlsx workbook.", + "prompt_cn": "这份人力资源福利工作簿包含 MEDICAL PLANS、Dental Plans、Vision Plan 等计划板块，以及与薪资处理相关的 LTD 工作表，里面还能看到 Coverage Level、Employee Only 等信息。请在 LTD 工作表中补全 “LTD Monthly Premium Per $1000” 这一列的空白项，位置是 C4:C13。工作簿里有些空白的福利计划字段会自然影响其他空白字段，所以在确认 LTD 列之前，请确保相关数字也已经补齐。请将完成后的文件保存为 .xlsx 工作簿。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": 63.1 + }, + "source_file_id": "louise_kitchen__22821__Hardship Rates", + "inferred_domain": "hr", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Enron Rate Chart", + "used_range": "A1:AE49", + "row_count": 49, + "col_count": 31, + "has_header": false, + "title_hint": "Enron Rate Chart", + "header_info": null + }, + { + "name": "Citigroup Rate Chart", + "used_range": "A1:AB49", + "row_count": 49, + "col_count": 28, + "has_header": false, + "title_hint": "Citigroup Rate Chart", + "header_info": null + }, + { + "name": "Citigroup Rate Max AD&D Life", + "used_range": "A1:AB49", + "row_count": 49, + "col_count": 28, + "has_header": false, + "title_hint": "Citigroup Rate Max AD&D Life", + "header_info": null + }, + { + "name": "Citigroup Medical Rates", + "used_range": "A1:F45", + "row_count": 45, + "col_count": 6, + "has_header": true, + "title_hint": "Citigroup Medical Rates", + "header_info": { + "sheet": "Citigroup Medical Rates", + "header_row": 1, + "headers": { + "A": "Coverage Level", + "B": "Point-of-Service Out of Area CIGNA International", + "C": "Health Plan 2000", + "D": "HMO A", + "E": "HMO B", + "F": "HMO C" + } + } + }, + { + "name": "LTD", + "used_range": "A1:E15", + "row_count": 15, + "col_count": 5, + "has_header": true, + "title_hint": "LTD", + "header_info": { + "sheet": "LTD", + "header_row": 1, + "headers": { + "B": "[Person_1]", + "C": "LTD Monthly Premium Per $1000", + "D": "LTD Monthly After TaxBenefit", + "E": "LTD Rate is 60%" + } + } + }, + { + "name": "Enron Rates", + "used_range": "A1:C30", + "row_count": 30, + "col_count": 3, + "has_header": false, + "title_hint": "Enron Rates", + "header_info": null + }, + { + "name": "Dental & Other Rates", + "used_range": "A1:E48", + "row_count": 48, + "col_count": 5, + "has_header": false, + "title_hint": "Dental & Other Rates", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..caf0ec1c23a520f99748e723c3d7608d28015d7b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/audit.json @@ -0,0 +1,467 @@ +{ + "gate": { + "pre_nl_gate": { + "gate_label": "GATE_PASS", + "gate_pass": true, + "hard_fails": 0, + "warns": 0, + "checks": [ + { + "check": "final_target_gate", + "pass": true, + "detail": "final_target has 6 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"=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B7,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B7,DATA!$B$1:$S$1,0)+2))", + "cached_value": 15000, + "pattern_id": "pf_0009" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/layers.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..2cd180623f20ab88a7837da49b41636755fa7920 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/layers.json @@ -0,0 +1,147 @@ +{ + "dag_id": "dag_97d57775c16d", + "file_id": "725136d1616556152-formulae-for-dates-and-period-calculations-that-can-auto-calculate-with-drop-down-example-13-", + "category": "cross_sheet", + "surface_category": "cross_sheet", + "effective_category": "cross_sheet", + "depth": 2, + "quality": { + "chain_error_cells": 0, + "chain_external_cells": 0, + "is_clean": true + }, + "layers": [ + { + "layer_index": 1, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00010" + ], + "sheet": "SUMMARY", + "col": "I", + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7 + ], + "row_ranges": "2-7", + "row_count": 6, + "pattern_id": "pf_0009", + "normalized_pattern": "=LOOKUP(2,1/(INDEX(DATA![$B,$3]:[$S,$51],,MATCH([$B,R],DATA![$B,$1]:[$S,$1],0)+1)>0),INDEX(DATA![$B,$3]:[$S,$51],,MATCH([$B,R],DATA![$B,$1]:[$S,$1],0)+2))", + "sample_formula": "=LOOKUP(2,1/(INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+1)>0),INDEX(DATA!$B$3:$S$51,,MATCH($B2,DATA!$B$1:$S$1,0)+2))" + } + ], + "new_eval_cells": 6, + "total_masked_cells": 6 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00017" + ], + "sheet": "DATA", + "col": "B", + "rows": [ + 1 + ], + "row_ranges": "1", + "row_count": 1, + "pattern_id": "pf_0016", + "normalized_pattern": "=SUMMARY![C,R+1]", + "sample_formula": "=SUMMARY!B2" + }, + { + "region_ids": [ + "rg_00018" + ], + "sheet": "DATA", + "col": "E", + "rows": [ + 1 + ], + "row_ranges": "1", + "row_count": 1, + "pattern_id": "pf_0017", + "normalized_pattern": "=SUMMARY![C-3,R+2]", + "sample_formula": "=SUMMARY!B3" + }, + { + "region_ids": [ + "rg_00019" + ], + "sheet": "DATA", + "col": "H", + "rows": [ + 1 + ], + "row_ranges": "1", + "row_count": 1, + "pattern_id": "pf_0018", + "normalized_pattern": "=SUMMARY![C-6,R+3]", + "sample_formula": "=SUMMARY!B4" + }, + { + "region_ids": [ + "rg_00020" + ], + "sheet": "DATA", + "col": "K", + "rows": [ + 1 + ], + "row_ranges": "1", + "row_count": 1, + "pattern_id": "pf_0019", + "normalized_pattern": "=SUMMARY![C-9,R+4]", + "sample_formula": "=SUMMARY!B5" + }, + { + "region_ids": [ + "rg_00021" + ], + "sheet": "DATA", + "col": "N", + "rows": [ + 1 + ], + "row_ranges": "1", + "row_count": 1, + "pattern_id": "pf_0020", + "normalized_pattern": "=SUMMARY![C-12,R+5]", + "sample_formula": "=SUMMARY!B6" + }, + { + "region_ids": [ + "rg_00022" + ], + "sheet": "DATA", + "col": "Q", + "rows": [ + 1 + ], + "row_ranges": "1", + "row_count": 1, + "pattern_id": "pf_0021", + "normalized_pattern": "=SUMMARY![C-15,R+6]", + "sample_formula": "=SUMMARY!B7" + } + ], + "new_eval_cells": 6, + "total_masked_cells": 12 + } + ], + "sink": { + "region_id": "rg_00010", + "sheet": "SUMMARY", + "col": "I", + "pattern_id": "pf_0009", + "row_count": 6, + "family_size": 6 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..8b30e1e608ef5762233d1bf2b3edfbb11a12703b Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..7b252f5e89374f41fc9c0fe36fd1d3b64ba4a3ad --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_97d57775c16d", + "prompt_en": "The SUMMARY sheet is tracking rent receivable information with fields like S.NO., TOWER/SHOP/FLAT, PROJECT, PARTY NAME, MONTHLY RENT, and TOTAL RENT RECEIVABLE, alongside payment-related labels such as Date Paid and Rent Paid in the workbook. Please complete the blank entries in the SUMMARY sheet’s LAST PAYMENT AMOUNT column, specifically I2:I7. Any related payment details in the workbook should be in place first so the SUMMARY entries are meaningful. Save the completed workbook as an .xlsx file.", + "prompt_cn": "SUMMARY 工作表正在记录租金应收信息，包含 S.NO.、TOWER/SHOP/FLAT、PROJECT、PARTY NAME、MONTHLY RENT、TOTAL RENT RECEIVABLE 等字段，工作簿中也有 Date Paid 和 Rent Paid 等付款相关标签。请补全 SUMMARY 工作表中 LAST PAYMENT AMOUNT 列的空白项，具体是 I2:I7。工作簿中相关的付款明细应先保持完整，这样 SUMMARY 里的内容才有意义。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt is minimal and business-context focused, identifies the target sheet, column, and range, mentions the natural dependency on payment details without describing any operation or formula, and avoids revealing masked values.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 23.2, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..56747aced0706d27f502355dcb73bef0adb2ed08 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: The mask is clean, all required cells are real, GT appears consistent, and the dependency chain is reconstructible from visible formulas and workbook structure.", + "D1": { + "score": 4, + "reason": "All 12 contract cells are truly masked, there are no extra masked cells, and no phantom ranges are present. The mask boundary is clean. There is visible same-column formula evidence in SUMMARY column I and visible structural evidence for DATA row-1 headers, which makes the task relatively easy, but not entirely zero-reasoning because the solver must also restore the cross-sheet customer header prerequisites." + }, + "D2": { + "score": 5, + "reason": "The GT formulas are deterministic and consistent with the workbook structure: they match the SUMMARY customer name against DATA row 1, locate the corresponding payment-date column, and return the rent-paid amount from the same final paid row. Cached values are plausible and consistent with the described LAST PAYMENT AMOUNT target." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the final range SUMMARY!I2:I7 and describes the business meaning as LAST PAYMENT AMOUNT. It also hints that related payment details elsewhere in the workbook must be completed first, though it does not explicitly name the DATA row-1 prerequisite cells, making the chain requirement slightly implicit." + }, + "D4": { + "score": 5, + "reason": "Using only mask_last.xlsx and the NL prompt, the task is solvable. The visible SUMMARY formulas in F/G/H show that customer labels in SUMMARY column B are matched against DATA row 1, so the blank DATA group headers can be inferred. Visible DATA group layout shows repeated three-column blocks: Monthly Rent, Date Paid, Rent Paid. Visible formulas in SUMMARY column I below the target range, plus adjacent H formulas, provide a strong structural clue for computing last payment amount from the DATA payment columns. All root evidence needed to reconstruct the chain is present.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook appears structurally sound, with meaningful SUMMARY headers, repeated DATA payment blocks, and no indicated broken formulas, circular references, or corruption. Minor irregularities exist, such as unused/blank future customer blocks and some broader-range exemplar formulas, but they do not undermine the task." + }, + "D6": { + "score": 5, + "reason": "The NL reads like a realistic workplace spreadsheet request, referring naturally to rent receivable tracking and payment-related fields without benchmark jargon." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task overall: clean masking, correct GT, sufficient cross-sheet evidence, and natural prompt. The main caveat is that visible exemplars make the task easier than the structural score suggests, but not invalid.", + "frontier_hardness": { + "score": 2, + "reason": "A frontier model would likely succeed. The task is cross-sheet and requires restoring prerequisite customer headers, but the dependency pattern is highly visible from existing formulas and repeated DATA block structure. It is not deeply chained or reliant on hidden constants.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 40246, + "_timing_load_workbooks": 0.05, + "_timing_context": 0.07, + "_timing_api": 67.28, + "local_difficulty": { + "difficulty_score": 57.9, + "difficulty": "medium", + "depth": 2, + "total_masked": 12, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 12, + "cross_refs": 30, + "visible_exemplar_ratio": 0.727 + }, + "task_id": "cross_sheet__dag_97d57775c16d", + "elapsed": 67.4, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..24f8ffc6cc00f10051945218ed5c1f79cd30415c Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..af41f41af68b2d5e4d94cc98e69edb380439e468 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/target_contract.json @@ -0,0 +1,117 @@ +{ + "task_id": "cross_sheet__dag_97d57775c16d", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "SUMMARY", + "column": "I", + "column_header": "LAST PAYMENT AMOUNT", + "cell_range": "I2:I7", + "cell_count": 6, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7 + ], + "first_row_label": "Customer 1", + "last_row_label": "Customer 6" + } + ], + "cell_count": 6, + "formula_families": [ + "lookup" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "DATA", + "column": "B", + "column_header": "Customer 1", + "cell_range": "B1", + "cell_count": 1, + "rows": [ + 1 + ], + "first_row_label": "Customer 1", + "last_row_label": "" + }, + { + "sheet": "DATA", + "column": "E", + "column_header": "Customer 2", + "cell_range": "E1", + "cell_count": 1, + "rows": [ + 1 + ], + "first_row_label": "Customer 1", + "last_row_label": "" + }, + { + "sheet": "DATA", + "column": "H", + "column_header": "Customer 3", + "cell_range": "H1", + "cell_count": 1, + "rows": [ + 1 + ], + "first_row_label": "Customer 1", + "last_row_label": "" + }, + { + "sheet": "DATA", + "column": "K", + "column_header": "Customer 4", + "cell_range": "K1", + "cell_count": 1, + "rows": [ + 1 + ], + "first_row_label": "Customer 1", + "last_row_label": "" + }, + { + "sheet": "DATA", + "column": "N", + "column_header": "Customer 5", + "cell_range": "N1", + "cell_count": 1, + "rows": [ + 1 + ], + "first_row_label": "Customer 1", + "last_row_label": "" + }, + { + "sheet": "DATA", + "column": "Q", + "column_header": "Customer 6", + "cell_range": "Q1", + "cell_count": 1, + "rows": [ + 1 + ], + "first_row_label": "Customer 1", + "last_row_label": "" + } + ], + "cell_count": 6 + } + ], + "total_prerequisite_cells": 6, + "total_masked_cells": 12, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "DATA", + "SUMMARY" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..2bc8656a4f52709907675aa6eda782e46da5a382 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04274/task_meta.json @@ -0,0 +1,66 @@ +{ + "fcb_id": "FCB-04274", + "task_id": "cross_sheet__dag_97d57775c16d", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 12, + "is_cross_sheet": true, + "prompt_en": "The SUMMARY sheet is tracking rent receivable information with fields like S.NO., TOWER/SHOP/FLAT, PROJECT, PARTY NAME, MONTHLY RENT, and TOTAL RENT RECEIVABLE, alongside payment-related labels such as Date Paid and Rent Paid in the workbook. Please complete the blank entries in the SUMMARY sheet’s LAST PAYMENT AMOUNT column, specifically I2:I7. Any related payment details in the workbook should be in place first so the SUMMARY entries are meaningful. Save the completed workbook as an .xlsx file.", + "prompt_cn": "SUMMARY 工作表正在记录租金应收信息，包含 S.NO.、TOWER/SHOP/FLAT、PROJECT、PARTY NAME、MONTHLY RENT、TOTAL RENT RECEIVABLE 等字段，工作簿中也有 Date Paid 和 Rent Paid 等付款相关标签。请补全 SUMMARY 工作表中 LAST PAYMENT AMOUNT 列的空白项，具体是 I2:I7。工作簿中相关的付款明细应先保持完整，这样 SUMMARY 里的内容才有意义。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 4, + "D2": 5, + "D3": 4, + "D4": 5, + "D5": 4, + "D6": 5, + "frontier_hardness": 2, + "local_difficulty": 57.9 + }, + "source_file_id": "725136d1616556152-formulae-for-dates-and-period-calculations-that-can-auto-calculate-with-drop-down-example-13-", + "inferred_domain": "sales", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "SUMMARY", + "used_range": "A1:R35", + "row_count": 35, + "col_count": 18, + "has_header": true, + "title_hint": "SUMMARY", + "header_info": { + "sheet": "SUMMARY", + "header_row": 1, + "headers": { + "A": "S.NO.", + "B": "TOWER/SHOP/FLAT", + "C": "PROJECT", + "D": "PARTY NAME", + "E": "MONTHLY RENT", + "F": "TOTAL RENT RECEIVABLE", + "G": "TOTAL AMOUNT PAID", + "H": "LAST MONTH", + "I": "LAST PAYMENT AMOUNT", + "J": "TOTAL DUES", + "K": "START DATE", + "L": "END DATE", + "M": "CONTRACT PERIOD", + "N": "MONTHS PAID", + "O": "MONTHS UNPAID" + } + } + }, + { + "name": "DATA", + "used_range": "A1:AN51", + "row_count": 51, + "col_count": 40, + "has_header": false, + "title_hint": "DATA", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..0109fbb81534c383f19421e0ceb07f95ae175879 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/audit.json @@ -0,0 +1,533 @@ +{ + "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 24 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=13665B, src=20096B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=9.2 (total=222, final=24) [WARN: high mask ratio]" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "24 unique values across 222 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: Data!U→T(63/99), Data!T→U(63/99)" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "detail": "no lookup formulas" + }, + { + "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=3, prompt=1, missing=2", + "missing_ranges": [ + "T2:T100", + "U2:U100" + ], + "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=1, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": false, + "detail": "contract=['Data', 'Staff by Hour'], missing=['Data']", + "severity": "INFO" + }, + { + "check": "no_formula_leak", + "pass": true, + "detail": "0 formula leaks", + "severity": "OK" + }, + { + "check": "no_value_leak", + "pass": true, + "detail": "0 value leaks out of 24 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": false, + "detail": "referenced=1 mentioned=0 missing=1 [Data]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 3 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['COUNTIFS', 'INT']", + "severity": "OK" + }, + { + "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 222 GT cells (0%)", + "severity": "OK" + } + ] + }, + "pre_nl_local": { 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"row_ranges": "2-100", + "row_count": 99, + "pattern_id": "pf_0000", + "normalized_pattern": "=[C-4,R]-INT([C-4,R])", + "sample_formula": "=P2-INT(P2)" + }, + { + "region_ids": [ + "rg_00001" + ], + "sheet": "Data", + "col": "U", + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69, + 70, + 71, + 72, + 73, + 74, + 75, + 76, + 77, + 78, + 79, + 80, + 81, + 82, + 83, + 84, + 85, + 86, + 87, + 88, + 89, + 90, + 91, + 92, + 93, + 94, + 95, + 96, + 97, + 98, + 99, + 100 + ], + "row_ranges": "2-100", + "row_count": 99, + "pattern_id": "pf_0000", + "normalized_pattern": "=[C-4,R]-INT([C-4,R])", + "sample_formula": "=Q2-INT(Q2)" + } + ], + "new_eval_cells": 198, + "total_masked_cells": 222 + } + ], + "sink": { + "region_id": "rg_00004", + "sheet": "Staff by Hour", + "col": "E", + "pattern_id": "pf_0003", + "row_count": 24, + "family_size": 24 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..0f77096958dcdd0f53e33be91c662996572ea815 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..9f7f7ab83492f9a02749b6d3ed23054bfb951eea --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_bc2a7ef7d488", + "prompt_en": "The workbook is set up for HR staffing reconciliation, with labels like Paste Here->, Within a day, Over midnight, Pre midnight, and Post midnight feeding into the Staff by Hour view. On the Staff by Hour sheet, please complete the blank Staff entries in column E for the full hourly section, E6:E29. If any related blank timing or staff fields elsewhere in the workbook are needed for those hour-by-hour staff entries to make sense, put those in place as part of completing the file. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "这个工作簿用于人力资源的员工排班核对，里面有 Paste Here->、Within a day、Over midnight、Pre midnight 和 Post midnight 等标签，并汇总到 Staff by Hour 视图中。请在 Staff by Hour 工作表中补全按小时列出的 Staff 列空白项，也就是 E6:E29。若工作簿中其他相关的时间或员工字段也有空白，并且这些内容需要先补齐后 Staff by Hour 中的按小时员工数才完整，请一并填写好。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the HR staffing context, names the relevant visible labels and target sheet/column/range, and mentions upstream blanks only in natural business terms without giving formulas or operational hints.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 46.8, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..1f9737e56776dcc1dad3b071cc827040d157f389 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT — the mask is clean, targets are real, and the cross-sheet dependency chain is reconstructible from visible timing data and formulas.", + "D1": { + "score": 5, + "reason": "All masked cells are within the actual workbook ranges: Staff by Hour!E6:E29 and Data!T2:U100. The mask diff shows 222 contract cells truly masked, no unmasked contract cells, and no extra masked cells. The preserved-formula/cache-loss entries are unrelated openpyxl artifacts. There is no trivially copyable same-column target exemplar; visible formulas in C/F/G provide structural clues but still require reasoning to reconstruct E and the prerequisite timing columns." + }, + "D2": { + "score": 5, + "reason": "The GT formulas are consistent with the source workbook structure. Staff by Hour!E6:E29 deterministically count records where Data!T is at or before the hourly endpoint and Data!U is at or after that endpoint. Data!T and U derive time fractions from datetime columns P and Q. Cached values appear plausible and consistent with the formulas; no nondeterminism or ambiguity is present." + }, + "D3": { + "score": 4, + "reason": "The NL description clearly identifies the final range to complete, Staff by Hour!E6:E29, and indicates that related blank timing/staff fields elsewhere should be completed. It is somewhat broad and does not explicitly name Data!T:U, but the requested output range and business context are understandable." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL prompt, the task is solvable with effort. The final Staff formula can be inferred from the visible Staff by Hour formulas in C/F/G and the labels Within a day, Staff, Pre midnight, and Post midnight. The cross-sheet references visibly point to Data!T:U:V, and Data!V formulas show T/U are the timing fields used to detect over-midnight shifts. The visible datetime pairs in Data columns P/Q, together with headers In time and Out Time in T/U, provide enough evidence to infer time-only extraction for T and U. The main gap is that T/U themselves have no visible same-column formula exemplar, so the solver must infer the extraction rule from context, but this is reasonable rather than guesswork.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook data appears sound. Headers for the key columns are meaningful, formulas are consistent down the relevant ranges, cross-midnight logic is coherent, and there are no signs of circular references, broken formulas, corrupted values, or phantom ranges. Blank template rows with formulas are expected and do not indicate data corruption." + }, + "D6": { + "score": 4, + "reason": "The NL request sounds like a plausible workplace instruction for HR staffing reconciliation. It is slightly verbose and generic, but it avoids benchmark jargon and gives a realistic operational context." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task: clean masking, valid ground truth, coherent source data, and enough visible evidence to reconstruct the cross-sheet dependency chain. Minor clarity gaps do not undermine solvability.", + "frontier_hardness": { + "score": 3, + "reason": "This is moderately hard because the solver must reconstruct a cross-sheet chain, infer masked timing helper formulas, and derive the final Staff formula from related visible formulas rather than copying a direct exemplar. However, the patterns are simple and well-supported by visible data, so a frontier model would have a reasonable chance of succeeding.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 89356, + "_timing_load_workbooks": 0.07, + "_timing_context": 0.17, + "_timing_api": 222.39, + "local_difficulty": { + "difficulty_score": 75.2, + "difficulty": "hard", + "depth": 2, + "total_masked": 222, + "is_cross_sheet": true, + "unique_patterns": 3, + "avg_complexity": 14, + "cross_refs": 48, + "visible_exemplar_ratio": 0.077 + }, + "task_id": "cross_sheet__dag_bc2a7ef7d488", + "elapsed": 222.6, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..846c86109e571440b2aba793c0e6ea67030aaf04 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..9acabc8e96e11cb15cc4a702ce14c6b833d3ebb9 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/target_contract.json @@ -0,0 +1,283 @@ +{ + "task_id": "cross_sheet__dag_bc2a7ef7d488", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Staff by Hour", + "column": "E", + "column_header": "Staff", + "cell_range": "E6:E29", + "cell_count": 24, + "rows": [ + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 24, + "formula_families": [ + "conditional" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Data", + "column": "T", + "column_header": "In time", + "cell_range": "T2:T100", + "cell_count": 99, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69, + 70, + 71, + 72, + 73, + 74, + 75, + 76, + 77, + 78, + 79, + 80, + 81, + 82, + 83, + 84, + 85, + 86, + 87, + 88, + 89, + 90, + 91, + 92, + 93, + 94, + 95, + 96, + 97, + 98, + 99, + 100 + ], + "first_row_label": "", + "last_row_label": "" + }, + { + "sheet": "Data", + "column": "U", + "column_header": "Out Time", + "cell_range": "U2:U100", + "cell_count": 99, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69, + 70, + 71, + 72, + 73, + 74, + 75, + 76, + 77, + 78, + 79, + 80, + 81, + 82, + 83, + 84, + 85, + 86, + 87, + 88, + 89, + 90, + 91, + 92, + 93, + 94, + 95, + 96, + 97, + 98, + 99, + 100 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 198 + } + ], + "total_prerequisite_cells": 198, + "total_masked_cells": 222, + "ratio_total_vs_final": 9.2, + "sheets_involved": [ + "Data", + "Staff by Hour" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..c9edd0761d8580c6e856225c78f0ba43b20bc53d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04333/task_meta.json @@ -0,0 +1,46 @@ +{ + "fcb_id": "FCB-04333", + "task_id": "cross_sheet__dag_bc2a7ef7d488", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 222, + "is_cross_sheet": true, + "prompt_en": "The workbook is set up for HR staffing reconciliation, with labels like Paste Here->, Within a day, Over midnight, Pre midnight, and Post midnight feeding into the Staff by Hour view. On the Staff by Hour sheet, please complete the blank Staff entries in column E for the full hourly section, E6:E29. If any related blank timing or staff fields elsewhere in the workbook are needed for those hour-by-hour staff entries to make sense, put those in place as part of completing the file. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "这个工作簿用于人力资源的员工排班核对，里面有 Paste Here->、Within a day、Over midnight、Pre midnight 和 Post midnight 等标签，并汇总到 Staff by Hour 视图中。请在 Staff by Hour 工作表中补全按小时列出的 Staff 列空白项，也就是 E6:E29。若工作簿中其他相关的时间或员工字段也有空白，并且这些内容需要先补齐后 Staff by Hour 中的按小时员工数才完整，请一并填写好。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": 75.2 + }, + "source_file_id": "849787d1700172765-interval-staffing-formula-not-working-correctly-when-shifts-cross-midnight-interval-template", + "inferred_domain": "hr", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Data", + "used_range": "A1:BA100", + "row_count": 100, + "col_count": 53, + "has_header": false, + "title_hint": "Data", + "header_info": null + }, + { + "name": "Staff by Hour", + "used_range": "B4:J29", + "row_count": 26, + "col_count": 9, + "has_header": false, + "title_hint": "Staff by Hour", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..8304d92fc091098488b8a1d202b313ef78ab9b85 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/audit.json @@ -0,0 +1,420 @@ +{ + "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 100 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=44110B, src=63993B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=2.0 (total=200, final=100)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "200 unique values across 200 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": "clean" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "severity": null, + "detail": "100 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": 1, + "checks": [ + { + "check": "cell_range_match", + "pass": true, + "detail": "contract=2, prompt=1, missing=0", + "missing_ranges": [], + "severity": "OK" + }, + { + "check": "cell_count_match", + "pass": true, + "detail": "no explicit total found; skipping (natural format)", + "severity": "OK" + }, + { + "check": "step_count_match", + "pass": true, + "detail": "contract=1, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": true, + "detail": "contract=['Enter Team Data Here'], 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 100 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": false, + "detail": "referenced=1 mentioned=0 missing=1 [Online Results]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 2 col groups" + 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+] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/layers.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..e6015232de02cf326ddb6d2f8c150b63079b9819 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/layers.json @@ -0,0 +1,265 @@ +{ + "dag_id": "dag_ce12ae676b98", + "file_id": "e7051b1c-6284-45ae-823d-b0cb74d55a9e", + "category": "cross_sheet", + "surface_category": "single_sheet", + "effective_category": "cross_sheet", + "depth": 2, + "quality": { + "chain_error_cells": 0, + "chain_external_cells": 0, + "is_clean": true + }, + "layers": [ + { + "layer_index": 1, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00009" + ], + "sheet": "Enter Team Data Here", + "col": "G", + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 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b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..9799304ec56ca4df6f0f9241dbcdc6abd7809b9f Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..d57829da779a7ee03bb40d0892ddc1d9a19f00af --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_ce12ae676b98", + "prompt_en": "The “Enter Team Data Here” sheet is set up for qualification-match ranking data, with columns like Team, OPR, QS, QS+CP, RS, and Extra Match (0 or Match Number), alongside references such as Data as of Match Number 38 and Team List. Please fill in the blank OPR entries for each team in the OPR column on that sheet, specifically G2:G101. The OPR values need to be in place before the related ranking and match-summary columns are meaningful. When you’re done, please save the completed workbook as an .xlsx file.", + "prompt_cn": "“Enter Team Data Here”工作表用于整理资格赛排名数据，表中有 Team、OPR、QS、QS+CP、RS、Extra Match (0 or Match Number) 等列，并且还能看到 Data as of Match Number 38 和 Team List 等相关标签。请把该工作表中每支队伍对应的 OPR 列空白项补齐，位置是 G2:G101。OPR 数值需要先补完整，后面的排名和比赛汇总相关列才有意义。完成后，请将补好的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the relevant sheet, visible labels, and exact target range while avoiding formulas, calculation language, or operational hints. It mentions the natural dependency context without detailing any steps.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 38.2, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..a837d8494da8c2ba01c66e7573ab2663358815e1 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT — the mask is clean, targets are real, GT is consistent, and the cross-sheet chain is reconstructible from visible workbook structure despite being hard.", + "D1": { + "score": 5, + "reason": "All 200 contract cells are truly masked, with no unmasked contract cells and no extra masking outside the contract. The ranges F2:F101 and G2:G101 are real in-sheet data ranges, not phantom cells. There is no trivially copyable visible same-column exemplar for the masked formulas; the solver must infer the F Team List dependency and then the G OPR lookup. Formula-cache-loss artifacts are correctly not counted as masking." + }, + "D2": { + "score": 5, + "reason": "The ground-truth formulas are deterministic and consistent with the source workbook structure. G2:G101 consistently use exact-match VLOOKUP against the local A:D table keyed by the reconstructed team list in F. Sample cached values align with the visible source data pattern, e.g. F2 resolves to a team whose local averaged OPR is returned by the lookup." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the final target range G2:G101 and the intended output as OPR entries on the Enter Team Data Here sheet. It is understandable and mostly unambiguous for the final target, but it does not explicitly tell the solver that the masked Team List prerequisite in F2:F101 must also be reconstructed from Online Results, so one dependency must be inferred." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the prompt, the task appears solvable with some inference. The workbook exposes the Enter Team Data Here layout, the blank Team List column F, the OPR column G, visible local Team/OPR/helper-average data in A:D, and an Online Results sheet that plausibly supplies the team list. Adjacent ranking/match-summary columns visibly depend on F-row team keys, giving a structural clue that F is the prerequisite key list. The G values can then be inferred as OPR lookups for those teams from the local A:D table. The main gap is that the prompt does not explicitly name the Online Results B-column extraction rule, but the workbook structure and headers provide enough root evidence to reconstruct it.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook data appears generally sound: headers are meaningful, target/prerequisite formulas are coherent, and the masked chain has no detected chain errors. There are many formula-driven ranking/match-summary columns and some external-style match references, plus an unlabeled helper column C, but these do not appear to corrupt the target task or invalidate the source data." + }, + "D6": { + "score": 5, + "reason": "The NL sounds like a natural workplace spreadsheet request. It avoids benchmark jargon, describes the workbook context, names the relevant sheet and OPR range, and gives a normal save instruction." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task: clean masking, valid GT, realistic prompt, and a hard but reconstructible depth-2 cross-sheet dependency chain. Minor clarity gap around the masked Team List prerequisite is acceptable.", + "frontier_hardness": { + "score": 3, + "reason": "A frontier model would need to infer the masked Team List from the Online Results sheet and then infer the OPR lookup from the local A:D helper structure. This is nontrivial cross-sheet chain reasoning over 200 masked cells, but there are only two formula patterns and no hidden constants, so a strong model has a reasonable chance of succeeding.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 187676, + "_timing_load_workbooks": 0.2, + "_timing_context": 0.03, + "_timing_api": 112.38, + "local_difficulty": { + "difficulty_score": 62.4, + "difficulty": "hard", + "depth": 2, + "total_masked": 200, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 3, + "cross_refs": 100, + "visible_exemplar_ratio": 0.01 + }, + "task_id": "cross_sheet__dag_ce12ae676b98", + "elapsed": 112.6, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..63fa5c21e9f99831530eb4b85730b87a53d89f1d Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..94d9c78179f22cff3b028b2826972fd7d228be1e --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/target_contract.json @@ -0,0 +1,249 @@ +{ + "task_id": "cross_sheet__dag_ce12ae676b98", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Enter Team Data Here", + "column": "G", + "column_header": "OPR", + "cell_range": "G2:G101", + "cell_count": 100, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69, + 70, + 71, + 72, + 73, + 74, + 75, + 76, + 77, + 78, + 79, + 80, + 81, + 82, + 83, + 84, + 85, + 86, + 87, + 88, + 89, + 90, + 91, + 92, + 93, + 94, + 95, + 96, + 97, + 98, + 99, + 100, + 101 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 100, + "formula_families": [ + "lookup" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Enter Team Data Here", + "column": "F", + "column_header": "Team List", + "cell_range": "F2:F101", + "cell_count": 100, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69, + 70, + 71, + 72, + 73, + 74, + 75, + 76, + 77, + 78, + 79, + 80, + 81, + 82, + 83, + 84, + 85, + 86, + 87, + 88, + 89, + 90, + 91, + 92, + 93, + 94, + 95, + 96, + 97, + 98, + 99, + 100, + 101 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 100 + } + ], + "total_prerequisite_cells": 100, + "total_masked_cells": 200, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "Enter Team Data Here" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..5a49f3cf518b4ecad1bd3df212ada71082a2ee03 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04361/task_meta.json @@ -0,0 +1,97 @@ +{ + "fcb_id": "FCB-04361", + "task_id": "cross_sheet__dag_ce12ae676b98", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 200, + "is_cross_sheet": true, + "prompt_en": "The “Enter Team Data Here” sheet is set up for qualification-match ranking data, with columns like Team, OPR, QS, QS+CP, RS, and Extra Match (0 or Match Number), alongside references such as Data as of Match Number 38 and Team List. Please fill in the blank OPR entries for each team in the OPR column on that sheet, specifically G2:G101. The OPR values need to be in place before the related ranking and match-summary columns are meaningful. When you’re done, please save the completed workbook as an .xlsx file.", + "prompt_cn": "“Enter Team Data Here”工作表用于整理资格赛排名数据，表中有 Team、OPR、QS、QS+CP、RS、Extra Match (0 or Match Number) 等列，并且还能看到 Data as of Match Number 38 和 Team List 等相关标签。请把该工作表中每支队伍对应的 OPR 列空白项补齐，位置是 G2:G101。OPR 数值需要先补完整，后面的排名和比赛汇总相关列才有意义。完成后，请将补好的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 4, + "D6": 5, + "frontier_hardness": 3, + "local_difficulty": 62.4 + }, + "source_file_id": "e7051b1c-6284-45ae-823d-b0cb74d55a9e", + "inferred_domain": "data_analysis", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Teams", + "used_range": "A1:L101", + "row_count": 101, + "col_count": 12, + "has_header": true, + "title_hint": "Teams", + "header_info": { + "sheet": "Teams", + "header_row": 1, + "headers": { + "A": "Team", + "B": "OPR", + "C": "QS", + "D": "QS+CP", + "E": "RS", + "F": "Extra Match (0 or Match Number)", + "G": "Sort by me!", + "H": "OPR", + "I": "OPR High", + "J": "OPR Norm" + } + } + }, + { + "name": "Online Results", + "used_range": "A1:U153", + "row_count": 153, + "col_count": 21, + "has_header": false, + "title_hint": "Online Results", + "header_info": null + }, + { + "name": "Enter Team Data Here", + "used_range": "A1:Y190", + "row_count": 190, + "col_count": 25, + "has_header": true, + "title_hint": "Enter Team Data Here", + "header_info": { + "sheet": "Enter Team Data Here", + "header_row": 1, + "headers": { + "A": "Team", + "B": "OPR", + "D": "Avg OPR", + "F": "Team List", + "G": "OPR", + "H": "CP", + "I": "RS as R1", + "J": "RS as R2", + "K": "RS as R3", + "L": "RS as B1", + "M": "RS as B2", + "N": "RS as B3", + "O": "QS as R1", + "P": "QS as R2", + "Q": "QS as R3", + "R": "QS as B1", + "S": "QS as B2", + "T": "QS as B3", + "U": "RS", + "V": "QS", + "W": "QS+CP", + "Y": "Do not sort!" + } + } + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..efbb54e19e0d67262771a2d046ad0aa97c67d9d2 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/src.xlsx differ