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463, + 464, + 465, + 466, + 467, + 468, + 469, + 470, + 471, + 472, + 473, + 474, + 475, + 476, + 477, + 478, + 479, + 480, + 481, + 482, + 483, + 484, + 485, + 486, + 487, + 488, + 489, + 490, + 491, + 492, + 493, + 494, + 495, + 496, + 497, + 498, + 499, + 500, + 501, + 502, + 503, + 504, + 505, + 506, + 507, + 508, + 509, + 510, + 511, + 512, + 513, + 514 + ], + "row_ranges": "6,8-16,18-514", + "row_count": 507, + "pattern_id": "pf_0000", + "normalized_pattern": "=+'FY16TAXBILL'![C,R]-'FY16FEBFORECAST'![C,R]", + "sample_formula": "=+'FY16 Tax Bill'!H6-'FY16 Feb Forecast'!H6" + } + ], + "new_eval_cells": 507, + "total_masked_cells": 507 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00187" + ], + "sheet": "FY16 Feb Forecast", + "col": "H", + "rows": [ + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16 + ], + "row_ranges": "8-16", + "row_count": 9, + "pattern_id": "pf_0012", + "normalized_pattern": "=SUMIF([$D,$18]:[$D,$514],[$D,R],[C,$18]:[C,$514])", + "sample_formula": "=SUMIF($D$18:$D$514,$D8,H$18:H$514)" + }, + { + "region_ids": [ + "rg_00227" + ], + "sheet": "FY16 Feb Forecast", + "col": "H", + "rows": [ + 6 + ], + "row_ranges": "6", + "row_count": 1, + "pattern_id": "pf_0014", + "normalized_pattern": "=SUM([C,R+12]:[C,R+508])", + "sample_formula": "=SUM(H18:H514)" + }, + { + "region_ids": [ + "rg_00197" + ], + "sheet": "FY16 Tax Bill", + "col": "H", + "rows": [ + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16 + ], + "row_ranges": "8-16", + "row_count": 9, + "pattern_id": "pf_0012", + "normalized_pattern": "=SUMIF([$D,$18]:[$D,$514],[$D,R],[C,$18]:[C,$514])", + "sample_formula": "=SUMIF($D$18:$D$514,$D8,H$18:H$514)" + }, + { + "region_ids": [ + "rg_00240" + ], + "sheet": "FY16 Tax Bill", + "col": "H", + "rows": [ + 6 + ], + "row_ranges": "6", + "row_count": 1, + "pattern_id": "pf_0014", + "normalized_pattern": "=SUM([C,R+12]:[C,R+508])", + "sample_formula": "=SUM(H18:H514)" + } + ], + "new_eval_cells": 20, + "total_masked_cells": 527 + } + ], + "sink": { + "region_id": "rg_00006", + "sheet": "FY16 Change", + "col": "H", + "pattern_id": "pf_0000", + "row_count": 1, + "family_size": 507 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..818c9ca1f2bf92501062fe2a086f6d381e29b173 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_b85e1263af93", + "prompt_en": "The FY16 Change sheet is part of the finance workbook comparing the FY 2016 February Forecast with the 2014 Tax Bill changes, alongside sheets such as FY16 Feb Forecast and Tax Bill Summary. On FY16 Change, the Aid column is incomplete for the location rows shown in H6, H8:H16, and H18:H514. Please fill in those blank Aid entries using the visible workbook data, including the related fiscal-year and revenue information across the sheets. Some supporting fields in the workbook need to be in place before the Aid entries make sense, so treat the workbook as a connected set of finance sheets rather than a single isolated column. When finished, save the completed workbook as an .xlsx file.", + "prompt_cn": "FY16 Change 工作表属于这个财务工作簿的一部分，用来对照 FY 2016 February Forecast 与 2014 Tax Bill changes，工作簿中还包含 FY16 Feb Forecast 和 Tax Bill Summary 等工作表。在 FY16 Change 中，Aid 列有一些地点行尚未完成，位置在 H6、H8:H16 和 H18:H514。请根据工作簿中可见的数据，包括各工作表里的相关财年和收入信息，把这些空白的 Aid 项目补齐。工作簿里有些相关字段需要先完整，Aid 列的内容才会合理，因此请把这些工作表作为相互关联的财务表来处理，而不是只看单独一列。完成后，请将补全的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt is minimal and business-focused, references only visible sheet names and labels, identifies the target Aid column and ranges, and avoids formulas or operation hints. It includes a natural note about cross-sheet dependencies without spelling out any calculation steps.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 10, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 10, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 2 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 28.7, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..29b008405ca87a6f30a2d90145e0d66ad2ebb011 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/release_qc.json @@ -0,0 +1,44 @@ +{ + "binary": true, + "binary_reason": "Clean chain-masking, correct cross-sheet pattern, and sufficient visible structural evidence make this a well-designed hard task.", + "D1": { + "score": 5, + "reason": "Masking matches the contract exactly: 527/527 target+prereq cells are truly removed, with 0 extra-masked cells. No phantom references are apparent; all referenced rows (6, 8:16, 18:514) exist within sheet bounds. Pattern leakage is limited: the exact target cells are masked, but many neighboring columns and repeated cross-sheet structure remain visible as intended clues rather than trivial copyable exemplars." + }, + "D2": { + "score": 5, + "reason": "Ground-truth formulas are consistent and deterministic: FY16 Change!H* is always 'FY16 Tax Bill'!H* - 'FY16 Feb Forecast'!H*. Sample cached values align with visible source values where checkable (e.g., H10, H11, H153, H392, H510:H514). No inconsistencies or ambiguous formula variants are indicated." + }, + "D3": { + "score": 4, + "reason": "The NL identifies the target sheet, column, and cell ranges clearly. It also signals that supporting fields across sheets matter. Minor weakness: it never explicitly says the operation is a subtraction between FY16 Tax Bill and FY16 Feb Forecast, and one referenced sheet name is phrased loosely, so the user must infer more from workbook structure than from the prompt." + }, + "D4": { + "score": 5, + "reason": "Using only mask_last.xlsx + NL, the root evidence is visible. On FY16 Change, adjacent columns F/G/I/etc visibly use the same cross-sheet difference pattern for the same rows, so H follows an evident column-consistent rule. For the masked prerequisites, both FY16 Feb Forecast and FY16 Tax Bill show the same row-aggregation structure across neighboring columns and visible rows 18+ provide concrete numeric H values, allowing H6/H8:H16 on those sheets to be reconstructed by SUM/SUMIF over visible data. Thus the full depth-2 chain is reconstructible with effort and no hidden constants.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook appears internally sound: formulas are regular, references stay in range, no circularity or broken links are signaled, and headers/row categories are coherent for a finance workbook. Automated quality flags report clean data and zero chain errors." + }, + "D6": { + "score": 4, + "reason": "The request sounds mostly like a real workplace spreadsheet task, with finance context and save instructions. It is slightly benchmark-ish in phrasing ('using the visible workbook data', 'connected set of finance sheets') and a bit verbose compared with a natural coworker request." + }, + "total": 28, + "verdict": "RELEASE", + "verdict_reason": "High-quality cross-sheet chain task: exact masking, correct GT, no extra removals, and strong visible evidence for reconstructing both prerequisite and final formulas.", + "frontier_hardness": { + "score": 3, + "reason": "This is genuinely nontrivial because the model must reconstruct a two-layer cross-sheet chain over hundreds of cells and infer masked aggregation on prereq sheets before applying the final difference pattern. However, the visible neighboring-column exemplars and repeated rowwise structure make the formula family quite regular, so a frontier model should often succeed.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "task_id": "cross_sheet__dag_b85e1263af93", + "elapsed": 19.2, + "prompt_chars": 769008, + "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-02646/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..7dc38834488740ec4ed3b644c9f7aa28b79af5a5 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/target_contract.json @@ -0,0 +1,589 @@ +{ + "task_id": "cross_sheet__dag_b85e1263af93", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": 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"n/a", + "last_row_label": "n/a" + }, + { + "sheet": "FY16 Tax Bill", + "column": "H", + "column_header": "Aid", + "cell_range": "H6, H8:H16", + "cell_count": 10, + "rows": [ + 6, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16 + ], + "first_row_label": "n/a", + "last_row_label": "n/a" + } + ], + "cell_count": 20 + } + ], + "total_prerequisite_cells": 20, + "total_masked_cells": 527, + "ratio_total_vs_final": 1.0, + "sheets_involved": [ + "FY16 Change", + "FY16 Feb Forecast", + "FY16 Tax Bill" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..5134b426bccf63635f452cbb8c79064069a0c119 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02646/task_meta.json @@ -0,0 +1,162 @@ +{ + "fcb_id": "FCB-02646", + "task_id": "cross_sheet__dag_b85e1263af93", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 527, + "is_cross_sheet": true, + "prompt_en": "The FY16 Change sheet is part of the finance workbook comparing the FY 2016 February Forecast with the 2014 Tax Bill changes, alongside sheets such as FY16 Feb Forecast and Tax Bill Summary. On FY16 Change, the Aid column is incomplete for the location rows shown in H6, H8:H16, and H18:H514. Please fill in those blank Aid entries using the visible workbook data, including the related fiscal-year and revenue information across the sheets. Some supporting fields in the workbook need to be in place before the Aid entries make sense, so treat the workbook as a connected set of finance sheets rather than a single isolated column. When finished, save the completed workbook as an .xlsx file.", + "prompt_cn": "FY16 Change 工作表属于这个财务工作簿的一部分，用来对照 FY 2016 February Forecast 与 2014 Tax Bill changes，工作簿中还包含 FY16 Feb Forecast 和 Tax Bill Summary 等工作表。在 FY16 Change 中，Aid 列有一些地点行尚未完成，位置在 H6、H8:H16 和 H18:H514。请根据工作簿中可见的数据，包括各工作表里的相关财年和收入信息，把这些空白的 Aid 项目补齐。工作簿里有些相关字段需要先完整，Aid 列的内容才会合理，因此请把这些工作表作为相互关联的财务表来处理，而不是只看单独一列。完成后，请将补全的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 28, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 5, + "D5": 5, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": null + }, + "source_file_id": "065157a3-d4c4-48b9-8a10-cc8a43f848eb", + "inferred_domain": "finance", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "Dist Region Table", + "used_range": "A1:D507", + "row_count": 507, + "col_count": 4, + "has_header": false, + "title_hint": "Dist Region Table", + "header_info": null + }, + { + "name": "FY16 Feb Forecast", + "used_range": "A1:W519", + "row_count": 519, + 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a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/layers.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..6e6f4e6e53dc0a48477bbe86142c1769c1e96575 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/layers.json @@ -0,0 +1,127 @@ +{ + "dag_id": "dag_e6f3e588a9d0", + "file_id": "182529d1348516273-adding-up-values-per-team-alltime", + "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_00006" + ], + "sheet": "All-Time", + "col": "D", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20 + ], + "row_ranges": "5-20", + "row_count": 16, + "pattern_id": 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0000000000000000000000000000000000000000..2ac7d7c2d89374f643af29ca4a58480062da163d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_e6f3e588a9d0", + "prompt_en": "The All-Time sheet is a RANK table for teams and names such as Kelly's Heroes, Newer England Patriots, and Carolina Foresters, with Wins and Losses shown alongside the ranking. Please complete the blank entries in the Wins column on the All-Time sheet, specifically D5:D20. The game-result information elsewhere in the workbook, with fields like Year, Week, Away Team, Score, Home Team, and Winner, provides the context that this All-Time table depends on, so those related entries need to be in place before the Wins column is meaningful. Save the completed workbook as an .xlsx file.", + "prompt_cn": "All-Time 工作表是一张按 RANK 排列的表，里面有 Kelly's Heroes、Newer England Patriots、Carolina Foresters 等球队或名称，并列出了 Wins 和 Losses。请补全 All-Time 工作表中 Wins 列的空白项，位置是 D5:D20。工作簿其他位置的比赛结果信息包含 Year、Week、Away Team、Score、Home Team、Winner 等字段，这些内容是 All-Time 表的基础，因此相关条目需要先完整，Wins 列才有意义。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the workbook context, target sheet, semantic column, and range without giving any formula or operational method. It also mentions the natural dependency on related game-result fields while avoiding explicit computation 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": 11.1, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..b97690e8d153ea4d1d57a8e536fbd97143d2fa70 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "Well-designed chain-masked cross-sheet task with clean mask boundaries and sufficient visible evidence to reconstruct the Wins/rank dependency chain.", + "D1": { + "score": 5, + "reason": "All 48 contract cells are real in-range cells, all are truly masked, there are no extra masked cells, and no phantom references. Visible adjacent/related formulas provide structural clues but do not make the entire chain trivially copyable because the solver still must infer the All-Time (2) Wins calculation and rank-based ordering." + }, + "D2": { + "score": 5, + "reason": "Ground-truth formulas are consistent with the source structure: All-Time Wins are pulled from All-Time (2) by rank using INDEX/MATCH, All-Time (2) Wins count occurrences in the Data Winner column, and ranks are deterministic with a tie-breaker. Cached values align with the expected sorted wins." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the target sheet, column, and range D5:D20, and it explains that game-result data provides the context. It is slightly vague about the intermediate All-Time (2) sheet and rank dependency, but not misleading." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the NL alone, the solver can see the target Wins column, team names, Data headers including Winner, and visible Losses formulas on All-Time (2) that strongly imply the analogous Wins COUNTIF pattern. The RANK column and the sorted All-Time table provide enough evidence to reconstruct the ranking/order dependency, though the exact rank tie-break/range boundaries require some inference.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook appears structurally sound: formulas are coherent, cross-sheet references resolve, headers are meaningful, and no circular/broken formulas are indicated. Minor oddities such as anonymized/person-placeholder headers and non-full-column COUNTIF ranges are acceptable but slightly reduce confidence." + }, + "D6": { + "score": 5, + "reason": "The NL reads like a natural workplace-style request, avoids benchmark jargon, and gives a plausible business context for completing a ranked all-time wins table." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task: clean masking, correct deterministic GT, sufficient visible evidence, and genuine cross-sheet chain reasoning without fundamental ambiguity.", + "frontier_hardness": { + "score": 3, + "reason": "A frontier model would need to reconstruct a multi-hop cross-sheet chain involving COUNTIF-based wins, rank/tie handling, and INDEX/MATCH-based final ordering. The formulas are not extremely complex, but simultaneous reconstruction across two sheets adds meaningful difficulty.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 24700, + "_timing_load_workbooks": 0.22, + "_timing_context": 0.09, + "_timing_api": 59.41, + "local_difficulty": { + "difficulty_score": 68.6, + "difficulty": "hard", + "depth": 2, + "total_masked": 48, + "is_cross_sheet": true, + "unique_patterns": 3, + "avg_complexity": 8, + "cross_refs": 48, + "visible_exemplar_ratio": 0.059 + }, + "task_id": "cross_sheet__dag_e6f3e588a9d0", + "elapsed": 59.7, + "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-04393/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..f2df9fa8d28b213566e8ca0a1d986242a0c5b0b9 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/target_contract.json @@ -0,0 +1,109 @@ +{ + "task_id": "cross_sheet__dag_e6f3e588a9d0", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "All-Time", + "column": "D", + "column_header": "Wins", + "cell_range": "D5:D20", + "cell_count": 16, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20 + ], + "first_row_label": "Kelly's Heroes", + "last_row_label": "[Person_3]" + } + ], + "cell_count": 16, + "formula_families": [ + "lookup" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "All-Time (2)", + "column": "D", + "column_header": "Wins", + "cell_range": "D5:D20", + "cell_count": 16, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20 + ], + "first_row_label": "Carolina Foresters", + "last_row_label": "Titan-ic Mission" + }, + { + "sheet": "All-Time (2)", + "column": "F", + "column_header": "RANK", + "cell_range": "F5:F20", + "cell_count": 16, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20 + ], + "first_row_label": "Carolina Foresters", + "last_row_label": "Titan-ic Mission" + } + ], + "cell_count": 32 + } + ], + "total_prerequisite_cells": 32, + "total_masked_cells": 48, + "ratio_total_vs_final": 3.0, + "sheets_involved": [ + "All-Time", + "All-Time (2)" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..fd57e7e5d39a66bfd6feba235a9c42704ec2544d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04393/task_meta.json @@ -0,0 +1,88 @@ +{ + "fcb_id": "FCB-04393", + "task_id": "cross_sheet__dag_e6f3e588a9d0", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 48, + "is_cross_sheet": true, + "prompt_en": "The All-Time sheet is a RANK table for teams and names such as Kelly's Heroes, Newer England Patriots, and Carolina Foresters, with Wins and Losses shown alongside the ranking. Please complete the blank entries in the Wins column on the All-Time sheet, specifically D5:D20. The game-result information elsewhere in the workbook, with fields like Year, Week, Away Team, Score, Home Team, and Winner, provides the context that this All-Time table depends on, so those related entries need to be in place before the Wins column is meaningful. Save the completed workbook as an .xlsx file.", + "prompt_cn": "All-Time 工作表是一张按 RANK 排列的表，里面有 Kelly's Heroes、Newer England Patriots、Carolina Foresters 等球队或名称，并列出了 Wins 和 Losses。请补全 All-Time 工作表中 Wins 列的空白项，位置是 D5:D20。工作簿其他位置的比赛结果信息包含 Year、Week、Away Team、Score、Home Team、Winner 等字段，这些内容是 All-Time 表的基础，因此相关条目需要先完整，Wins 列才有意义。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 4, + "D6": 5, + "frontier_hardness": 3, + "local_difficulty": 68.6 + }, + "source_file_id": "182529d1348516273-adding-up-values-per-team-alltime", + "inferred_domain": "data_analysis", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "Data", + "used_range": "A1:M517", + "row_count": 517, + "col_count": 13, + "has_header": true, + "title_hint": "Data", + "header_info": { + "sheet": "Data", + "header_row": 1, + "headers": { + "A": "#", + "B": "Year", + "C": "Week", + "D": "Away Team", + "E": "Score", + "F": "Home Team", + "G": "Score", + "H": "Winner", + "I": "[Person_1]", + "J": "Win Score", + "K": "Loss Score", + "L": "Total Score", + "M": "Margin" + } + } + }, + { + "name": "All-Time", + "used_range": "C4:E20", + "row_count": 17, + "col_count": 3, + "has_header": true, + "title_hint": "All Time", + "header_info": { + "sheet": "All-Time", + "header_row": 4, + "headers": { + "D": "Wins", + "E": "Losses" + } + } + }, + { + "name": "All-Time (2)", + "used_range": "C4:F20", + "row_count": 17, + "col_count": 4, + "has_header": true, + "title_hint": "All Time (2)", + "header_info": { + "sheet": "All-Time (2)", + "header_row": 4, + "headers": { + "D": "Wins", + "E": "Losses", + "F": "RANK" + } + } + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..d4bbb149c7b94b1dd508ebe3a53be48299c7f438 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/audit.json @@ -0,0 +1,532 @@ +{ + "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 23 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=11908B, src=18213B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=7.0 (total=161, final=23)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "4 unique values across 161 cells [WARN: low_discrimination layer_1_ground_truth: 21/23=91%; layer_2_ground_truth: 132/138=96%]" + }, + { + "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: Sheet1!O→P(21/23)" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "severity": null, + "detail": "138 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": 3, + "checks": [ + { + "check": "cell_range_match", + "pass": false, + "detail": "contract=7, prompt=1, missing=6", + "missing_ranges": [ + "C5:C27", + "E5:E27", + "G5:G27", + "I5:I27", + "K5:K27", + "M5:M27" + ], + "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": true, + "detail": "contract=['Sheet1'], 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 23 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 [Sheet2]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 7 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": false, + "detail": "GT funcs: ['COUNTIF', 'SUMPRODUCT', 'VLOOKUP']; MISMATCHES: GT uses COUNTIF but NL doesn't mention any of: condition, count, criteria, how many; GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match", + "severity": "SOFT_WARN" + }, + { + "check": "unmatched_default_rule", + "pass": true, + "detail": "no default-rule phrase found in NL", + "severity": "OK" + }, + { + "check": "volatile_function_freeze", + "pass": true, + "detail": "volatile_cells=0", + "severity": "OK" + }, + { + "check": "direct_answer_leakage", + "pass": true, + "detail": "0 leaks out of 161 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": 161, + "total_non_none": 161, + "block_reasons": [], + "warnings": [], + 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"depth": 2, + "block_reasons": [ + "broken_chains:138/161=85.7%" + ], + "warnings": [], + "checks": { + "broken_chains": { + "count": 138, + "checked": 161, + "details": [ + { + "cell": "Sheet1!E20", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(D20,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!I9", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(H9,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!I18", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(H18,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!G12", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(F12,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!C12", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(B12,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!I27", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(H27,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!G21", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(F21,Sheet2!A$4:$B$28,2,FALSE)" + }, + { 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"formula": "=VLOOKUP(F14,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!M16", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(L16,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!M25", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(L25,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!E6", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(D6,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "cell": "Sheet1!C26", + "missing_dep": "Sheet2!A26", + "formula": "=VLOOKUP(B26,Sheet2!A$4:$B$28,2,FALSE)" + } + ] + }, + "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": 2, + "zero_exemplar_count": 0, + "low_exemplar_count": 0 + }, + "zero_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "low_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "func_coverage": { + "SUMPRODUCT": { + "total_masked": 23, + "visible_exemplars": 23 + }, + "VLOOKUP": { + "total_masked": 138, + "visible_exemplars": 184 + } + } + } + }, + "shortcut": { + "shortcut_risk": 1.0, + "flags": [ + { + "code": "SC1", + "description": "Constant fill: 95% of GT cells = 0", + "affected_cells": 153, + "severity": "high" + }, + { + "code": "SC4", + "description": "All-zero: 153/161 GT cells are 0", + "affected_cells": 153, + "severity": "high" + } + ] + }, + "release_audit": { + "surface_single_sheet": true, + "surface_sheets": [ + "Sheet1" + ], + "cross_sheet_actual": true, + "cross_sheet_ref_count": 7866, + "referenced_sheets": [ + "Sheet2" + ], + "target_shape": "single_column_series", + "layer_sizes": [ + 23, + 138 + ], + "mask_last_total_cells": 161, + "layer_growth_ratios": [ + 6.0 + ], + "pattern_dominance_ratio": 0.1429, + "visible_clone_regions": 0, + "nearby_visible_clone_regions": 0, + "nearby_visible_clone_rows": 0, + "nearby_visible_clone_ratio": 0.0, + "promptability_score": 0.92, + "release_reasons": [ + "cross_sheet_metadata_mismatch" + ], + "release_verdict": "KEEP_WITH_FIXES" + } + }, + "difficulty": { + "task_id": "cross_sheet__dag_fbae0f41d594", + "difficulty_score": 65.2, + "difficulty": "hard", + "depth": 2, + "total_masked": 161, + "is_cross_sheet": true, + "unique_patterns": 7, + "avg_complexity": 6.0, + "cross_refs": 0, + "visible_exemplar_ratio": 0.042, + "score_breakdown": { + "depth": 7, + "cross_sheet": 10, + "cell_count": 14.7, + "patterns": 15, + "complexity": 9.0, + "cross_refs": 0, + "vis_penalty": 9.6 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/ground_truth_full.json new file mode 100644 index 0000000000000000000000000000000000000000..239ea3b0a778b4a4000a6e5e6346dfe584d3b028 --- /dev/null +++ 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/dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/layers.json @@ -0,0 +1,296 @@ +{ + "dag_id": "dag_fbae0f41d594", + "file_id": "734455d1622177244-vlookup-sum-ifsum-im-in-too-deep-test-schedule-ans", + "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_00007" + ], + "sheet": "Sheet1", + "col": "P", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "row_ranges": "5-27", + "row_count": 23, + "pattern_id": "pf_0007", + "normalized_pattern": "=SUMPRODUCT(COUNTIF([$B,R]:[$N,R],SHEET2![$A,$4]:[$A,$24])*SHEET2![$B,$4]:[$B,$24])", + "sample_formula": "=SUMPRODUCT(COUNTIF($B5:$N5,Sheet2!$A$4:$A$24)*Sheet2!$B$4:$B$24)" + } + ], + "new_eval_cells": 23, + "total_masked_cells": 23 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00000" + ], + "sheet": "Sheet1", + "col": "C", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "row_ranges": "5-27", + "row_count": 23, + "pattern_id": "pf_0000", + "normalized_pattern": "=VLOOKUP([C-1,R],SHEET2![C-2,$4]:[$B,$28],2,FALSE)", + "sample_formula": "=VLOOKUP(B5,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "region_ids": [ + "rg_00001" + ], + "sheet": "Sheet1", + "col": "E", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "row_ranges": "5-27", + "row_count": 23, + "pattern_id": "pf_0001", + "normalized_pattern": "=VLOOKUP([C-1,R],SHEET2![C-4,$4]:[$B,$28],2,FALSE)", + "sample_formula": "=VLOOKUP(D5,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "region_ids": [ + "rg_00002" + ], + "sheet": "Sheet1", + "col": "G", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "row_ranges": "5-27", + "row_count": 23, + "pattern_id": "pf_0002", + "normalized_pattern": "=VLOOKUP([C-1,R],SHEET2![C-6,$4]:[$B,$28],2,FALSE)", + "sample_formula": "=VLOOKUP(F5,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "region_ids": [ + "rg_00003" + ], + "sheet": "Sheet1", + "col": "I", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "row_ranges": "5-27", + "row_count": 23, + "pattern_id": "pf_0003", + "normalized_pattern": "=VLOOKUP([C-1,R],SHEET2![C-8,$4]:[$B,$28],2,FALSE)", + "sample_formula": "=VLOOKUP(H5,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "region_ids": [ + "rg_00004" + ], + "sheet": "Sheet1", + "col": "K", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "row_ranges": "5-27", + "row_count": 23, + "pattern_id": "pf_0004", + "normalized_pattern": "=VLOOKUP([C-1,R],SHEET2![C-10,$4]:[$B,$28],2,FALSE)", + "sample_formula": "=VLOOKUP(J5,Sheet2!A$4:$B$28,2,FALSE)" + }, + { + "region_ids": [ + "rg_00005" + ], + "sheet": "Sheet1", + "col": "M", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "row_ranges": "5-27", + "row_count": 23, + "pattern_id": "pf_0005", + "normalized_pattern": "=VLOOKUP([C-1,R],SHEET2![C-12,$4]:[$B,$28],2,FALSE)", + "sample_formula": "=VLOOKUP(L5,Sheet2!A$4:$B$28,2,FALSE)" + } + ], + "new_eval_cells": 138, + "total_masked_cells": 161 + } + ], + "sink": { + "region_id": "rg_00007", + "sheet": "Sheet1", + "col": "P", + "pattern_id": "pf_0007", + "row_count": 23, + "family_size": 23 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..6f572ff8c96ba5e57c55ede54e7a355a71104b7e Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..6e937897964b9f3df81f83821c12b5b4be8653bf --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_fbae0f41d594", + "prompt_en": "Sheet1 is an employee list laid out by SUN through THURS with Time and Hours fields for shifts such as 8a-8:30p, 8p-8:30a, 9:30a-10:00p, and SL 12. The blank cells to fill are in the Total Hours column on Sheet1, specifically P5:P27, for the employee rows. The daily Time and Hours entries need to be in place before the Total Hours column makes sense, so make sure the completed values fit the visible schedule information on the sheet. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "Sheet1 是一张员工列表，按 SUN 到 THURS 排列，并包含 Time 和 Hours 字段，班次标签包括 8a-8:30p、8p-8:30a、9:30a-10:00p 和 SL 12。需要填写的空白单元格在 Sheet1 的 Total Hours 列，也就是员工行对应的 P5:P27。每日的 Time 和 Hours 信息需要先完整，Total Hours 列才有意义，所以请确保填入的内容与表中可见的排班信息一致。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt is minimal and scenario-focused, identifies the sheet, visible labels, and target range, and avoids formulas or operational instructions. It mentions prerequisite context naturally without detailing a dependency chain.", + "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": 12.4, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..e4f109017e92c46a72be8eba8d4b0828c0e324c5 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/release_qc.json @@ -0,0 +1,57 @@ +{ + "binary": true, + "binary_reason": "CORRECT — mask boundary is clean, GT formulas are consistent, and the dependency chain is reconstructible from visible schedule structure and visible lookup-formula exemplars.", + "D1": { + "score": 5, + "reason": "All 161 contract cells are truly masked, all are within the real Sheet1 data range, and the diff summary reports no unmasked contract cells or extra masking. Visible VLOOKUP exemplars exist in adjacent HIDE columns, but the full task is not purely trivial because the solver must still infer the Total Hours aggregation and dependency chain." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas are deterministic and consistent with the shown source context. The SUMPRODUCT/COUNTIF pattern correctly totals shift hours using Sheet2’s shift-to-hours table; sample cached values such as P5=8 and P8=44 match the visible shift entries." + }, + "D3": { + "score": 4, + "reason": "The prompt clearly identifies the final target range P5:P27 and describes the schedule/time-hours context. It is somewhat under-specific because it does not explicitly mention Sheet2 or the hidden HIDE columns that must be restored, but it gives enough workplace-level guidance." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the NL prompt, the solver can see the schedule layout, the Total Hours column, the paired Time/HIDE Hours columns, and visible VLOOKUP formulas in unmasked HIDE columns such as O, R, T, V, and X referencing Sheet2. This provides clear root evidence for reconstructing the masked C/E/G/I/K/M hour formulas. The Total Hours logic is inferable as totaling the daily hours across the week before P, although the exact GT implementation as SUMPRODUCT/COUNTIF rather than a direct SUM of restored hour columns is not explicitly signposted.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook appears structurally sound: formulas are consistent, deterministic, and not circular or corrupted. Headers and paired time/hour columns are understandable. Minor roughness remains because employee names are blank in the shown rows and formula ranges are not perfectly uniform across Sheet2 references, but no substantive data-quality failure is evident." + }, + "D6": { + "score": 5, + "reason": "The NL prompt sounds like a plausible workplace instruction about completing an employee schedule workbook and avoids benchmark jargon." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task overall: clean masking, correct GT, and sufficient visible evidence for the chain. The NL could be more explicit about Sheet2 and HIDE columns, but the workbook itself supplies the needed clues.", + "frontier_hardness": { + "score": 2, + "reason": "A frontier model should likely solve this. The chain has many cells but only simple repeated VLOOKUP patterns plus a straightforward weekly total; visible exemplars and schedule headers provide strong guidance. The cross-sheet dependency is visible through existing formulas.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 104826, + "local_difficulty": { + "difficulty_score": 65.2, + "difficulty": "hard", + "depth": 2, + "total_masked": 161, + "is_cross_sheet": true, + "unique_patterns": 7, + "avg_complexity": 6, + "cross_refs": 0, + "visible_exemplar_ratio": 0.042 + }, + "_timing_context": 180.4, + "_timing_api": 79.1, + "task_id": "cross_sheet__dag_fbae0f41d594", + "elapsed": 259.5, + "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-04440/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..790be116e01d5c5fd6309b1e3765577a189dfd41 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..b9e91c149ab56e378069e1242439b8a813a80202 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/target_contract.json @@ -0,0 +1,265 @@ +{ + "task_id": "cross_sheet__dag_fbae0f41d594", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Sheet1", + "column": "P", + "column_header": "Total Hours", + "cell_range": "P5:P27", + "cell_count": 23, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "first_row_label": "3:30p-MN", + "last_row_label": "-" + } + ], + "cell_count": 23, + "formula_families": [ + "aggregation" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Sheet1", + "column": "C", + "column_header": "HIDE", + "cell_range": "C5:C27", + "cell_count": 23, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "first_row_label": "3:30p-MN", + "last_row_label": "-" + }, + { + "sheet": "Sheet1", + "column": "E", + "column_header": "HIDE", + "cell_range": "E5:E27", + "cell_count": 23, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "first_row_label": "3:30p-MN", + "last_row_label": "-" + }, + { + "sheet": "Sheet1", + "column": "G", + "column_header": "HIDE", + "cell_range": "G5:G27", + "cell_count": 23, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "first_row_label": "3:30p-MN", + "last_row_label": "-" + }, + { + "sheet": "Sheet1", + "column": "I", + "column_header": "HIDE", + "cell_range": "I5:I27", + "cell_count": 23, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "first_row_label": "3:30p-MN", + "last_row_label": "-" + }, + { + "sheet": "Sheet1", + "column": "K", + "column_header": "HIDE", + "cell_range": "K5:K27", + "cell_count": 23, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "first_row_label": "3:30p-MN", + "last_row_label": "-" + }, + { + "sheet": "Sheet1", + "column": "M", + "column_header": "HIDE", + "cell_range": "M5:M27", + "cell_count": 23, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27 + ], + "first_row_label": "3:30p-MN", + "last_row_label": "-" + } + ], + "cell_count": 138 + } + ], + "total_prerequisite_cells": 138, + "total_masked_cells": 161, + "ratio_total_vs_final": 7.0, + "sheets_involved": [ + "Sheet1" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..08b6eaeb5427c1f690313769b6d72a35ce5bf951 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04440/task_meta.json @@ -0,0 +1,46 @@ +{ + "fcb_id": "FCB-04440", + "task_id": "cross_sheet__dag_fbae0f41d594", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 161, + "is_cross_sheet": true, + "prompt_en": "Sheet1 is an employee list laid out by SUN through THURS with Time and Hours fields for shifts such as 8a-8:30p, 8p-8:30a, 9:30a-10:00p, and SL 12. The blank cells to fill are in the Total Hours column on Sheet1, specifically P5:P27, for the employee rows. The daily Time and Hours entries need to be in place before the Total Hours column makes sense, so make sure the completed values fit the visible schedule information on the sheet. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "Sheet1 是一张员工列表，按 SUN 到 THURS 排列，并包含 Time 和 Hours 字段，班次标签包括 8a-8:30p、8p-8:30a、9:30a-10:00p 和 SL 12。需要填写的空白单元格在 Sheet1 的 Total Hours 列，也就是员工行对应的 P5:P27。每日的 Time 和 Hours 信息需要先完整，Total Hours 列才有意义，所以请确保填入的内容与表中可见的排班信息一致。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": 4, + "D6": 5, + "frontier_hardness": 2, + "local_difficulty": 65.2 + }, + "source_file_id": "734455d1622177244-vlookup-sum-ifsum-im-in-too-deep-test-schedule-ans", + "inferred_domain": "operations", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Sheet1", + "used_range": "A1:AI39", + "row_count": 39, + "col_count": 35, + "has_header": false, + "title_hint": "Sheet1", + "header_info": null + }, + { + "name": "Sheet2", + "used_range": "A2:B25", + "row_count": 24, + "col_count": 2, + "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-04448/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..8d474f017ad84258b32434ab02ddbf279d3afb09 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/audit.json @@ -0,0 +1,413 @@ +{ + "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 12 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=406180B, src=567855B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=2.0 (total=24, final=12)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "12 unique values across 24 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: Januar!M→August!M(12/12), Februar!M→August!M(12/12), Marts!M→August!M(12/12), April!M→August!M(12/12), Maj!M→August!M(12/12)" + }, + { + "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": "CLEAN", + "validate_pass": true, + "hard_fails": 0, + "soft_warns": 0, + "checks": [ + { + "check": "cell_range_match", + "pass": true, + "detail": "contract=2, prompt=0, 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=['August', 'Stamdata'], 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 12 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": true, + "detail": "referenced=1 mentioned=1 missing=0", + "severity": "OK" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 2 col groups; CONFLICTS: August!M59: visible='=IF(Stamdata!$F$80=\"\",\"\",Stamd' vs GT pattern='=IF(Stamdata!$F#=\"\",\"\",Stamdat'; August!M60: visible='=IF($AM$1=1,\"\",IF(OFFSET(Juli!' vs GT pattern='=IF(Stamdata!$F#=\"\",\"\",Stamdat'" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['IF']", + "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 24 GT cells (0%)", + "severity": "OK" + } + ] + }, + "pre_nl_local": { + "local_total": 58, + "local_label": "PENDING_NL", + "hard_fail_flags": [], + "warnings": [ + "release_verdict_not_keep", + "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": 24, + "total_non_none": 24, + "block_reasons": [], + "warnings": [], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "str": 24 + }, + "mixed": false + }, + "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": 24 + } + }, + "solver_visibility": { + "contract_cells": 24, + "total_masked": 24, + "total_visible": 24947, + "depth": 2, + "block_reasons": [], + "warnings": [], + "checks": { + "broken_chains": { + "count": 0, + "checked": 24, + "details": [] + }, + "orphan_masks": { + "count": 0, + "details": [] + }, + "self_contained": { + "missing_sheets": [] + } + } + }, + "exemplar": { + "soft_block": false, + "block_reasons": [], + "checks": { + "pattern_coverage": { + "pass": true, + "total_gt_patterns": 1, + "total_src_patterns": 57, + "zero_exemplar_count": 0, + "low_exemplar_count": 0 + }, + "zero_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "low_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "func_coverage": { + "IF": { + "total_masked": 24, + "visible_exemplars": 22514 + } + } + } + }, + "shortcut": { + "shortcut_risk": 1.0, + "flags": [ + { + "code": "SC3", + "description": "Copy-from-visible: 12/24 GT cells have nearby visible formula clones", + "affected_cells": 12, + "severity": "high" + } + ] + }, + "release_audit": { + "surface_single_sheet": false, + "surface_sheets": [ + "August", + "Stamdata" + ], + "cross_sheet_actual": true, + "cross_sheet_ref_count": 24, + "referenced_sheets": [ + "Stamdata" + ], + "target_shape": "single_column_series", + "layer_sizes": [ + 12, + 12 + ], + "mask_last_total_cells": 24, + "layer_growth_ratios": [ + 1.0 + ], + "pattern_dominance_ratio": 0.5, + "visible_clone_regions": 1, + "nearby_visible_clone_regions": 1, + "nearby_visible_clone_rows": 12, + "nearby_visible_clone_ratio": 1.0, + "promptability_score": 0.6, + "release_reasons": [ + "parallel_block_leakage" + ], + "release_verdict": "REBUILD_REQUIRED" + } + }, + "difficulty": { + "task_id": "cross_sheet__dag_ff4dc2d42e11", + "difficulty_score": 54.5, + "difficulty": "medium", + "depth": 2, + "total_masked": 24, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 5.0, + "cross_refs": 24, + "visible_exemplar_ratio": 0.52, + "score_breakdown": { + "depth": 7, + "cross_sheet": 10, + "cell_count": 9.2, + "patterns": 6, + "complexity": 7.5, + "cross_refs": 10, + "vis_penalty": 4.8 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/ground_truth_full.json new file mode 100644 index 0000000000000000000000000000000000000000..a3deae5002eff740f3bd6088288c03d905f908ec --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/ground_truth_full.json @@ -0,0 +1,218 @@ +[ + { + "sheet": "August", + "col": "M", + "row": 18, + "formula": "=IF(Stamdata!$F57=\"\",\"\",Stamdata!F57)", + "cached_value": "Vd", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 19, + "formula": "=IF(Stamdata!$F58=\"\",\"\",Stamdata!F58)", + "cached_value": "Vn", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 20, + "formula": "=IF(Stamdata!$F59=\"\",\"\",Stamdata!F59)", + "cached_value": "/", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 21, + "formula": "=IF(Stamdata!$F60=\"\",\"\",Stamdata!F60)", + "cached_value": "Vdw", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 22, + "formula": "=IF(Stamdata!$F61=\"\",\"\",Stamdata!F61)", + "cached_value": "[Person_6]", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 23, + "formula": "=IF(Stamdata!$F62=\"\",\"\",Stamdata!F62)", + "cached_value": "Drl", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 24, + "formula": "=IF(Stamdata!$F63=\"\",\"\",Stamdata!F63)", + "cached_value": "Dr", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 25, + "formula": "=IF(Stamdata!$F64=\"\",\"\",Stamdata!F64)", + "cached_value": "Df", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 26, + "formula": "=IF(Stamdata!$F65=\"\",\"\",Stamdata!F65)", + "cached_value": "E1", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 27, + "formula": "=IF(Stamdata!$F66=\"\",\"\",Stamdata!F66)", + "cached_value": "E2", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 28, + "formula": "=IF(Stamdata!$F67=\"\",\"\",Stamdata!F67)", + "cached_value": "E3", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "August", + "col": "M", + "row": 29, + "formula": "=IF(Stamdata!$F68=\"\",\"\",Stamdata!F68)", + "cached_value": "E4", + "pattern_id": "pf_0035", + "layer": 1 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 57, + "formula": "=IF(F31=\"\",\"\",F31)", + "cached_value": "Vd", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 58, + "formula": "=IF(F32=\"\",\"\",F32)", + "cached_value": "Vn", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 59, + "formula": "=IF(F33=\"\",\"\",F33)", + "cached_value": "/", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 60, + "formula": "=IF(F34=\"\",\"\",F34)", + "cached_value": "Vdw", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 61, + "formula": "=IF(F35=\"\",\"\",F35)", + "cached_value": "[Person_6]", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 62, + "formula": "=IF(F36=\"\",\"\",F36)", + "cached_value": "Drl", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 63, + "formula": "=IF(F37=\"\",\"\",F37)", + "cached_value": "Dr", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 64, + "formula": "=IF(F38=\"\",\"\",F38)", + "cached_value": "Df", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 65, + "formula": "=IF(F39=\"\",\"\",F39)", + "cached_value": "E1", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 66, + "formula": "=IF(F40=\"\",\"\",F40)", + "cached_value": "E2", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 67, + "formula": "=IF(F41=\"\",\"\",F41)", + "cached_value": "E3", + "pattern_id": "pf_0061", + "layer": 2 + }, + { + "sheet": "Stamdata", + "col": "F", + "row": 68, + "formula": "=IF(F42=\"\",\"\",F42)", + "cached_value": "E4", + "pattern_id": "pf_0061", + "layer": 2 + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/ground_truth_target.json new file mode 100644 index 0000000000000000000000000000000000000000..59111b5a3d18bb73b73c55fa3d0e754be6d21936 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/ground_truth_target.json @@ -0,0 +1,98 @@ +[ + { + "sheet": "August", + "col": "M", + "row": 18, + "formula": "=IF(Stamdata!$F57=\"\",\"\",Stamdata!F57)", + "cached_value": "Vd", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 19, + "formula": "=IF(Stamdata!$F58=\"\",\"\",Stamdata!F58)", + "cached_value": "Vn", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 20, + "formula": "=IF(Stamdata!$F59=\"\",\"\",Stamdata!F59)", + "cached_value": "/", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 21, + "formula": "=IF(Stamdata!$F60=\"\",\"\",Stamdata!F60)", + "cached_value": "Vdw", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 22, + "formula": "=IF(Stamdata!$F61=\"\",\"\",Stamdata!F61)", + "cached_value": "[Person_6]", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 23, + "formula": "=IF(Stamdata!$F62=\"\",\"\",Stamdata!F62)", + "cached_value": "Drl", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 24, + "formula": "=IF(Stamdata!$F63=\"\",\"\",Stamdata!F63)", + "cached_value": "Dr", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 25, + "formula": "=IF(Stamdata!$F64=\"\",\"\",Stamdata!F64)", + "cached_value": "Df", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 26, + "formula": "=IF(Stamdata!$F65=\"\",\"\",Stamdata!F65)", + "cached_value": "E1", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 27, + "formula": "=IF(Stamdata!$F66=\"\",\"\",Stamdata!F66)", + "cached_value": "E2", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 28, + "formula": "=IF(Stamdata!$F67=\"\",\"\",Stamdata!F67)", + "cached_value": "E3", + "pattern_id": "pf_0035" + }, + { + "sheet": "August", + "col": "M", + "row": 29, + "formula": "=IF(Stamdata!$F68=\"\",\"\",Stamdata!F68)", + "cached_value": "E4", + "pattern_id": "pf_0035" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/layers.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..e20ca9f0202d8364d4808e1fc6443c562c258afa --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/layers.json @@ -0,0 +1,89 @@ +{ + "dag_id": "dag_ff4dc2d42e11", + "file_id": "135196d1325864918-conditional-formatting-2003-more-that-three-conditions-not-vba-vapla-help", + "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_01365" + ], + "sheet": "August", + "col": "M", + "rows": [ + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29 + ], + "row_ranges": "18-29", + "row_count": 12, + "pattern_id": "pf_0035", + "normalized_pattern": "=IF(STAMDATA![$F,R+39]=\"\",\"\",STAMDATA![C-7,R+39])", + "sample_formula": "=IF(Stamdata!$F57=\"\",\"\",Stamdata!F57)" + } + ], + "new_eval_cells": 12, + "total_masked_cells": 12 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_01613" + ], + "sheet": "Stamdata", + "col": "F", + "rows": [ + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68 + ], + "row_ranges": "57-68", + "row_count": 12, + "pattern_id": "pf_0061", + "normalized_pattern": "=IF([C,R-26]=\"\",\"\",[C,R-26])", + "sample_formula": "=IF(F31=\"\",\"\",F31)" + } + ], + "new_eval_cells": 12, + "total_masked_cells": 24 + } + ], + "sink": { + "region_id": "rg_01365", + "sheet": "August", + "col": "M", + "pattern_id": "pf_0035", + "row_count": 12, + "family_size": 12 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..0be0f0d2f2407905d59f57c7dbbcefb1eb5b6286 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_ff4dc2d42e11", + "prompt_en": "The workbook is a Danish duty-planning file with a Stamdata sheet and monthly sheets like Januar, Februar, Marts, and August, using labels such as Vagttyper, Vagttype, Betegnelse, timer, Dagvagt, Vd, and Fri. On the August sheet, the Vagttype entries in column M are still missing for rows 18 through 29, and those need to be filled in so the August vagtplan is complete. Some of the schedule details in the workbook naturally depend on the monthly entries being in place, so please make sure the August Vagttype column is completed consistently with the visible workbook content. Please save the completed file as an .xlsx workbook.", + "prompt_cn": "这个工作簿是一个丹麦语的排班文件，里面有 Stamdata 工作表，以及 Januar、Februar、Marts、August 等按月份划分的工作表，能看到 Vagttyper、Vagttype、Betegnelse、timer、Dagvagt、Vd、Fri 等标签。August 工作表中，M 列的 Vagttype 在第 18 到第 29 行还缺少内容，需要补齐，才能让 August 的 vagtplan 完整。工作簿里有些排班明细会自然依赖各月份的条目是否已经填写好，所以请根据可见内容把 August 的 Vagttype 列补完整并保持一致。请将完成后的文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt identifies the workbook context, sheet, target column, and exact row range while avoiding formulas, operations, answer values, and explicit dependency logic. It includes a natural note about related monthly entries needing to be in place and ends with the required .xlsx save instruction.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 0, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 0, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 0 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 13.4, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..11cfdb55d5aa6c257114c7c138b9fdf8248675f0 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: clean depth-2 cross-sheet chain with real masked cells, correct GT, and enough visible workbook structure to reconstruct the formulas.", + "D1": { + "score": 4, + "reason": "All 24 contract cells are real in-sheet cells, all are truly masked, there are no unmasked contract cells and no extra masked cells. The mask boundary is clean. There are strong visible exemplars, especially the adjacent Stamdata E57:E68 pattern and related monthly-table structures, making the task relatively easy, but not invalid because the solver still must connect the Stamdata prerequisite to August column M." + }, + "D2": { + "score": 5, + "reason": "The GT formulas for August M18:M29 consistently pull Stamdata F57:F68 with the expected blank guard. The cached values listed match the referenced Stamdata Betegnelse values, and the formulas are deterministic and internally consistent." + }, + "D3": { + "score": 4, + "reason": "The NL description clearly identifies the final target as August column M Vagttype rows 18 through 29 and gives relevant workbook context. It does not explicitly mention that the Stamdata Betegnelse prerequisite cells are also missing, but that omission is acceptable for chain-masked tasks and does not make the request incomprehensible." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the prompt, the solver can see the August target header Vagttype, the surrounding weekday requirement columns, and visible cross-sheet references to Stamdata. In Stamdata, the adjacent E57:E68 formulas show the same row-offset pattern from rows 31:42, giving a direct structural clue for F57:F68. The August table also has visible neighboring structure and analogous cross-sheet references, so the chain is reconstructible. The main minor gap is that the NL only asks for August M, so the solver must infer that Stamdata F57:F68 must also be restored for the final formulas to work.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook appears structurally sound: sheet ranges are valid, formulas are consistent, headers are meaningful for the Danish duty-planning context, and no circular references, corrupt values, or broken formula patterns are evident in the provided source context." + }, + "D6": { + "score": 5, + "reason": "The NL prompt sounds like a natural workplace request about completing a Danish duty-planning workbook. It avoids benchmark jargon and uses plausible domain terms." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task with clean masking, correct GT, and sufficient visible evidence for a depth-2 cross-sheet dependency reconstruction. It is somewhat easy due to strong exemplars, but still valid.", + "frontier_hardness": { + "score": 2, + "reason": "A frontier model would likely succeed. The task is cross-sheet and has a masked prerequisite layer, but the formula patterns are simple and strongly signposted by adjacent formulas and repeated monthly-table structure.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 32779, + "_timing_load_workbooks": 3.57, + "_timing_context": 0.15, + "_timing_api": 74.8, + "local_difficulty": { + "difficulty_score": 54.5, + "difficulty": "medium", + "depth": 2, + "total_masked": 24, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 5, + "cross_refs": 24, + "visible_exemplar_ratio": 0.52 + }, + "task_id": "cross_sheet__dag_ff4dc2d42e11", + "elapsed": 78.5, + "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-04448/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..cffb199e523872c1828782a881e27e8e85c49c9c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/target_contract.json @@ -0,0 +1,74 @@ +{ + "task_id": "cross_sheet__dag_ff4dc2d42e11", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "August", + "column": "M", + "column_header": "Vagttype", + "cell_range": "M18:M29", + "cell_count": 12, + "rows": [ + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29 + ], + "first_row_label": "Dagvagt", + "last_row_label": "<[Person_11]>" + } + ], + "cell_count": 12, + "formula_families": [ + "conditional" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Stamdata", + "column": "F", + "column_header": "Betegnelse", + "cell_range": "F57:F68", + "cell_count": 12, + "rows": [ + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 12 + } + ], + "total_prerequisite_cells": 12, + "total_masked_cells": 24, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "August", + "Stamdata" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..83c153b1469d57bbac38109191dee9a43ede7519 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04448/task_meta.json @@ -0,0 +1,154 @@ +{ + "fcb_id": "FCB-04448", + "task_id": "cross_sheet__dag_ff4dc2d42e11", + "tier": "T3_MEDIUM", + "category": "cross_sheet", + "depth": 2, + "total_masked": 24, + "is_cross_sheet": true, + "prompt_en": "The workbook is a Danish duty-planning file with a Stamdata sheet and monthly sheets like Januar, Februar, Marts, and August, using labels such as Vagttyper, Vagttype, Betegnelse, timer, Dagvagt, Vd, and Fri. On the August sheet, the Vagttype entries in column M are still missing for rows 18 through 29, and those need to be filled in so the August vagtplan is complete. Some of the schedule details in the workbook naturally depend on the monthly entries being in place, so please make sure the August Vagttype column is completed consistently with the visible workbook content. Please save the completed file as an .xlsx workbook.", + "prompt_cn": "这个工作簿是一个丹麦语的排班文件，里面有 Stamdata 工作表，以及 Januar、Februar、Marts、August 等按月份划分的工作表，能看到 Vagttyper、Vagttype、Betegnelse、timer、Dagvagt、Vd、Fri 等标签。August 工作表中，M 列的 Vagttype 在第 18 到第 29 行还缺少内容，需要补齐，才能让 August 的 vagtplan 完整。工作簿里有些排班明细会自然依赖各月份的条目是否已经填写好，所以请根据可见内容把 August 的 Vagttype 列补完整并保持一致。请将完成后的文件保存为 .xlsx 工作簿。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 4, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 5, + "frontier_hardness": 2, + "local_difficulty": 54.5 + }, + "source_file_id": "135196d1325864918-conditional-formatting-2003-more-that-three-conditions-not-vba-vapla-help", + "inferred_domain": "general", + "domain_confidence": 0.0, + "sheet_profiles": [ + { + "name": "Stamdata", + "used_range": "A1:BK110", + "row_count": 110, + "col_count": 63, + "has_header": false, + "title_hint": "Stamdata", + "header_info": null + }, + { + "name": "Januar", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "Januar", + "header_info": null + }, + { + "name": "Februar", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "Februar", + "header_info": null + }, + { + "name": "Marts", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "Marts", + "header_info": null + }, + { + "name": "April", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "April", + "header_info": null + }, + { + "name": "Maj", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "Maj", + "header_info": null + }, + { + "name": "Juni", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "Juni", + "header_info": null + }, + { + "name": "Juli", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "Juli", + "header_info": null + }, + { + "name": "August", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "August", + "header_info": null + }, + { + "name": "September", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "September", + "header_info": null + }, + { + "name": "Oktober", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "Oktober", + "header_info": null + }, + { + "name": "November", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "November", + "header_info": null + }, + { + "name": "December", + "used_range": "A1:BU100", + "row_count": 100, + "col_count": 73, + "has_header": false, + "title_hint": "December", + "header_info": null + }, + { + "name": "Kalender", + "used_range": "A1:AL3658", + "row_count": 3658, + "col_count": 38, + "has_header": false, + "title_hint": "Kalender", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..389098d7ba841ed2f502cb4d542c8cf0abefdbed --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/audit.json @@ -0,0 +1,633 @@ +{ + "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 33 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=17373B, src=26889B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=8.6 (total=283, final=33) [WARN: high mask ratio]" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "131 unique values across 283 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, + "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": 1, + "checks": [ + { + "check": "cell_range_match", + "pass": false, + "detail": "contract=13, prompt=1, missing=12", + "missing_ranges": [ + "K10:K46", + "K137:K138", + "K141:K169", + "K172:K204", + "K207:K231", + "K234:K240", + "K243:K279", + "K49:K57", + "K5:K7", + "K63:K89" + ], + "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": true, + "detail": "contract=['pointscore1'], 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 33 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": true, + "detail": "no cross-sheet refs in GT", + "severity": "OK" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 2 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['RANK', '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 283 GT cells (0%)", + "severity": "OK" + } + ] + }, + "pre_nl_local": { + "local_total": 58, + "local_label": "PENDING_NL", + "hard_fail_flags": [], + "warnings": [ + "release_verdict_not_keep", + "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": 283, + "total_non_none": 283, + "block_reasons": [], + "warnings": [ + "rank_ties:33" + ], + "checks": { + "rank_tie_risk": { + "rank_cells": 33, + "tie_issues": 33, + "details": [ + { + "cell": "pointscore1!B172", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B173", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B174", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B175", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B176", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B177", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B178", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B179", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B180", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + }, + { + "cell": "pointscore1!B181", + "tied_values": { + "101": 2, + "65": 2, + "48": 3, + "43": 2, + "33": 2 + } + } + ] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "int": 283 + }, + "mixed": false + }, + "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": 283 + } + }, + "solver_visibility": { + "contract_cells": 283, + "total_masked": 283, + "total_visible": 1070, + "depth": 2, + "block_reasons": [ + "broken_chains:250/283=88.3%" + ], + "warnings": [], + "checks": { + "broken_chains": { + "count": 250, + "checked": 283, + "details": [ + { + "cell": "pointscore1!K14", + "missing_dep": "pointscore1!G14", + "formula": "=SUM(E14:J14)" + }, + { + "cell": "pointscore1!K78", + "missing_dep": "pointscore1!F78", + "formula": "=SUM(E78:J78)" + }, + { + "cell": "pointscore1!K23", + "missing_dep": "pointscore1!E23", + "formula": "=SUM(E23:J23)" + }, + { + "cell": "pointscore1!K142", + "missing_dep": "pointscore1!I142", + "formula": "=SUM(E142:J142)" + }, + { + "cell": "pointscore1!K87", + "missing_dep": "pointscore1!E87", + "formula": "=SUM(E87:J87)" + }, + { + "cell": "pointscore1!K32", + "missing_dep": "pointscore1!E32", + "formula": "=SUM(E32:J32)" + }, + { + "cell": "pointscore1!K151", + "missing_dep": "pointscore1!I151", + "formula": "=SUM(E151:J151)" + }, + { + "cell": "pointscore1!K270", + "missing_dep": "pointscore1!E270", + "formula": "=SUM(E270:J270)" + }, + { + "cell": "pointscore1!K96", + "missing_dep": "pointscore1!E96", + "formula": "=SUM(E96:J96)" + }, + { + "cell": "pointscore1!K41", + "missing_dep": "pointscore1!G41", + "formula": "=SUM(E41:J41)" + }, + { + "cell": "pointscore1!K160", + "missing_dep": "pointscore1!E160", + "formula": "=SUM(E160:J160)" + }, + { + "cell": "pointscore1!K215", + "missing_dep": "pointscore1!F215", + "formula": "=SUM(E215:J215)" + }, + { + "cell": "pointscore1!K105", + "missing_dep": "pointscore1!E105", + "formula": "=SUM(E105:J105)" + }, + { + "cell": "pointscore1!K224", + "missing_dep": 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"category": "single_sheet", + "surface_category": "single_sheet", + "effective_category": "single_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_00015" + ], + "sheet": "pointscore1", + "col": "B", + "rows": [ + 172, + 173, + 174, + 175, + 176, + 177, + 178, + 179, + 180, + 181, + 182, + 183, + 184, + 185, + 186, + 187, + 188, + 189, + 190, + 191, + 192, + 193, + 194, + 195, + 196, + 197, + 198, + 199, + 200, + 201, + 202, + 203, + 204 + ], + "row_ranges": "172-204", + "row_count": 33, + "pattern_id": "pf_0004", + "normalized_pattern": "=RANK([C+9,R],[$K,$172]:[$K,$204])", + "sample_formula": "=RANK(K172,$K$172:$K$204)" + } + ], + "new_eval_cells": 33, + "total_masked_cells": 33 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00000", + "rg_00001", + "rg_00002", + "rg_00003", + "rg_00004", + "rg_00005", + "rg_00006", + "rg_00007", + "rg_00008", + "rg_00009", + "rg_00010", + "rg_00011" + ], + "sheet": "pointscore1", + "col": "K", + "rows": [ + 5, + 6, + 7, + 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, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 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, + 92, + 93, + 96, + 97, + 98, + 99, + 100, + 101, + 102, + 103, + 104, + 105, + 106, + 107, + 108, + 109, + 110, + 111, + 112, + 113, + 114, + 115, + 116, + 117, + 118, + 119, + 120, + 121, + 122, + 123, + 124, + 125, + 126, + 127, + 128, + 129, + 130, + 131, + 132, + 133, + 134, + 137, + 138, + 141, + 142, + 143, + 144, + 145, + 146, + 147, + 148, + 149, + 150, + 151, + 152, + 153, + 154, + 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"=SUM([C-6,R]:[C-1,R])", + "sample_formula": "=SUM(E5:J5)" + } + ], + "new_eval_cells": 250, + "total_masked_cells": 283 + } + ], + "sink": { + "region_id": "rg_00015", + "sheet": "pointscore1", + "col": "B", + "pattern_id": "pf_0004", + "row_count": 33, + "family_size": 33 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..93185aed36e6d9b9db490b7e463f64d26a3848c8 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..623b07382ef75d915ed42eb9fd8ef6fa8a805efe --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "single_sheet__dag_3382b3007e7e", + "prompt_en": "The pointscore1 sheet is laid out as a 2019 Pointscore record, with columns such as club and the round columns for Straight to Hell, Boomerang Farm, and the later named rounds. Please complete the blank entries in the Masters 1/2 Male column, specifically B172:B204. Some blank areas in the sheet are related to other blank areas, so the category entries need to be in place before the connected pointscore sections make sense. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "pointscore1 工作表是一份 2019 Pointscore 记录，里面有 club 以及 Straight to Hell、Boomerang Farm 和后面以人名标注的轮次等列。请补全 Masters 1/2 Male 列中的空白内容，具体位置是 B172:B204。表里有些空白区域彼此相关，因此这些组别条目需要先补齐，相关的 pointscore 部分才完整。完成后，请将文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt is minimal and scenario-based, references only visible workbook labels and the specified target range, avoids formulas and operational hints, and includes the required save instruction.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 4, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 4, + "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": 51.7, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..96d7ad55353223f83182375c4cfa5fba36bb2bf7 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: The task has clean chain masking, valid formulas, and enough visible structure to reconstruct totals and ranks.", + "D1": { + "score": 5, + "reason": "All masked cells are within the actual sheet range, and the mask boundary is clean: 283 contract cells are truly masked, no contract cells are left unmasked, and there is no extra masking outside the contract. Although there are visible same-pattern rank and total-related exemplars, the target is not purely zero-reasoning copyable because the solver must reconstruct the K total prerequisite and use the correct category rank range for B172:B204." + }, + "D2": { + "score": 5, + "reason": "The ground-truth formulas are consistent with the source: B172:B204 rank each row's K total against the category-specific range K172:K204. The cached rank values shown are consistent with descending RANK behavior including ties. The formulas are deterministic and non-volatile." + }, + "D3": { + "score": 4, + "reason": "The NL prompt clearly identifies the final target range B172:B204 and the relevant category, Masters 1/2 Male. It also hints that other blank areas are prerequisite/connected, though it does not explicitly name column K as Total or state that totals must be reconstructed first. Overall it is understandable with a minor clarity gap." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL prompt, the task is solvable. The K column is visibly labeled Total, the E:J columns are visible round scores, and visible formulas in neighboring club pointscore columns reference SUM($E:$J), providing strong evidence that K should be row totals over E:J. The B column has visible rank-like outputs in adjacent category blocks and visible category boundaries, making it inferable that B172:B204 should rank the reconstructed K172:K204 totals within the Masters 1/2 Male block. The main minor gap is that the NL prompt does not explicitly describe the K prerequisite, so the solver must infer it from sheet structure.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source spreadsheet is generally sound: formulas are coherent, ranges are within bounds, headers are meaningful, and there are no evident circular or broken references in the audited areas. There are minor source-quality blemishes such as a typo-like header 'club pointsocore' and an anomalous visible non-contract Total value at K60, but these do not affect the target chain." + }, + "D6": { + "score": 5, + "reason": "The NL request sounds like a realistic spreadsheet-completion instruction, avoids benchmark jargon, and uses natural phrasing about completing blank entries and saving the workbook." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task with clean masking, correct ground truth, and sufficient visible evidence for reconstruction. Minor prompt vagueness and small source-data blemishes do not prevent publication.", + "frontier_hardness": { + "score": 2, + "reason": "A frontier model should likely solve this: there are only two formula patterns, both are strongly signaled by headers, adjacent data, and visible exemplars. The task is moderately tedious due to many masked K cells, but the reasoning is shallow and non-cross-sheet.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 84783, + "_timing_load_workbooks": 0.2, + "_timing_context": 0.04, + "_timing_api": 44.17, + "local_difficulty": { + "difficulty_score": 35.2, + "difficulty": "medium", + "depth": 2, + "total_masked": 283, + "is_cross_sheet": false, + "unique_patterns": 2, + "avg_complexity": 4, + "cross_refs": 0, + "visible_exemplar_ratio": 0.875 + }, + "task_id": "single_sheet__dag_3382b3007e7e", + "elapsed": 44.4, + "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-04743/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..fe388e9a04f1366ea01821f31f4953c7bffcd461 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..f8578a02389b90e31a31443bbeb1dad70f1579eb --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/target_contract.json @@ -0,0 +1,332 @@ +{ + "task_id": "single_sheet__dag_3382b3007e7e", + "category": "single_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "pointscore1", + "column": "B", + "column_header": "Masters 1/2 Male", + "cell_range": "B172:B204", + "cell_count": 33, + "rows": [ + 172, + 173, + 174, + 175, + 176, + 177, + 178, + 179, + 180, + 181, + 182, + 183, + 184, + 185, + 186, + 187, + 188, + 189, + 190, + 191, + 192, + 193, + 194, + 195, + 196, + 197, + 198, + 199, + 200, + 201, + 202, + 203, + 204 + ], + "first_row_label": "[Person_120]", + "last_row_label": "[Person_148]" + } + ], + "cell_count": 33, + "formula_families": [ + "ranking" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "pointscore1", + "column": "K", + "column_header": "Total", + "cell_range": "K5:K7, K10:K46, K49:K57, K63:K89, K92:K93, K96:K134, K137:K138, K141:K169, K172:K204, K207:K231, K234:K240, K243:K279", + "cell_count": 250, + "rows": [ + 5, + 6, + 7, + 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, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 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, + 92, + 93, + 96, + 97, + 98, + 99, + 100, + 101, + 102, + 103, + 104, + 105, + 106, + 107, + 108, + 109, + 110, + 111, + 112, + 113, + 114, + 115, + 116, + 117, + 118, + 119, + 120, + 121, + 122, + 123, + 124, + 125, + 126, + 127, + 128, + 129, + 130, + 131, + 132, + 133, + 134, + 137, + 138, + 141, + 142, + 143, + 144, + 145, + 146, + 147, + 148, + 149, + 150, + 151, + 152, + 153, + 154, + 155, + 156, + 157, + 158, + 159, + 160, + 161, + 162, + 163, + 164, + 165, + 166, + 167, + 168, + 169, + 172, + 173, + 174, + 175, + 176, + 177, + 178, + 179, + 180, + 181, + 182, + 183, + 184, + 185, + 186, + 187, + 188, + 189, + 190, + 191, + 192, + 193, + 194, + 195, + 196, + 197, + 198, + 199, + 200, + 201, + 202, + 203, + 204, + 207, + 208, + 209, + 210, + 211, + 212, + 213, + 214, + 215, + 216, + 217, + 218, + 219, + 220, + 221, + 222, + 223, + 224, + 225, + 226, + 227, + 228, + 229, + 230, + 231, + 234, + 235, + 236, + 237, + 238, + 239, + 240, + 243, + 244, + 245, + 246, + 247, + 248, + 249, + 250, + 251, + 252, + 253, + 254, + 255, + 256, + 257, + 258, + 259, + 260, + 261, + 262, + 263, + 264, + 265, + 266, + 267, + 268, + 269, + 270, + 271, + 272, + 273, + 274, + 275, + 276, + 277, + 278, + 279 + ], + "first_row_label": "[Person_3]", + "last_row_label": "[Person_203]" + } + ], + "cell_count": 250 + } + ], + "total_prerequisite_cells": 250, + "total_masked_cells": 283, + "ratio_total_vs_final": 8.6, + "sheets_involved": [ + "pointscore1" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..4ab2ab0a0e3617bb68ca53b7c02c69bad38b7b76 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-04743/task_meta.json @@ -0,0 +1,37 @@ +{ + "fcb_id": "FCB-04743", + "task_id": "single_sheet__dag_3382b3007e7e", + "tier": "T3_MEDIUM", + "category": "single_sheet", + "depth": 2, + "total_masked": 283, + "is_cross_sheet": false, + "prompt_en": "The pointscore1 sheet is laid out as a 2019 Pointscore record, with columns such as club and the round columns for Straight to Hell, Boomerang Farm, and the later named rounds. Please complete the blank entries in the Masters 1/2 Male column, specifically B172:B204. Some blank areas in the sheet are related to other blank areas, so the category entries need to be in place before the connected pointscore sections make sense. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "pointscore1 工作表是一份 2019 Pointscore 记录，里面有 club 以及 Straight to Hell、Boomerang Farm 和后面以人名标注的轮次等列。请补全 Masters 1/2 Male 列中的空白内容，具体位置是 B172:B204。表里有些空白区域彼此相关，因此这些组别条目需要先补齐，相关的 pointscore 部分才完整。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": 2, + "local_difficulty": 35.2 + }, + "source_file_id": "686969d1594894062-club-pointscore-pointscore1", + "inferred_domain": "data_analysis", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "pointscore1", + "used_range": "B1:X279", + "row_count": 279, + "col_count": 23, + "has_header": false, + "title_hint": "pointscore1", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..09f3607292c02406582492fceff063e197ce29ae --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/audit.json @@ -0,0 +1,421 @@ +{ + "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 37 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=256165B, src=278501B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=2.0 (total=74, final=37)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "62 unique values across 74 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, + "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": 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"803720d1667641661-connecting-vlookup-data-from-a-drop-down-menu-long-term-production-plan", + "category": "single_sheet", + "surface_category": "single_sheet", + "effective_category": "single_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_00042", + "rg_00043", + "rg_00044", + "rg_00045" + ], + "sheet": "Plan Master", + "col": "AK", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 36, + 37, + 38, + 39, + 41, + 42, + 43, + 44 + ], + "row_ranges": "5-22,24-34,36-39,41-44", + "row_count": 37, + "pattern_id": "pf_0018", + "normalized_pattern": "=IFERROR([C-4,R]/[C-23,R],\"-\")", + "sample_formula": "=IFERROR(AG5/N5,\"-\")" + } + ], + "new_eval_cells": 37, + "total_masked_cells": 37 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00034", + "rg_00035", + "rg_00036", + "rg_00037" + ], + "sheet": "Plan Master", + "col": "AG", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 36, + 37, + 38, + 39, + 41, + 42, + 43, + 44 + ], + "row_ranges": "5-22,24-34,36-39,41-44", + "row_count": 37, + "pattern_id": "pf_0016", + "normalized_pattern": "=SUM([C-3,R],[C-2,R],[C-1,R])", + "sample_formula": "=SUM(AD5,AE5,AF5)" + } + ], + "new_eval_cells": 37, + "total_masked_cells": 74 + } + ], + "sink": { + "region_id": "rg_00042", + "sheet": "Plan Master", + "col": "AK", + "pattern_id": "pf_0018", + "row_count": 18, + "family_size": 37 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..7d4ba60a89fe3685342e06411cda4ff2e799026f --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "single_sheet__dag_72dd5a6d923b", + "prompt_en": "The Plan Master sheet is a sales planning workbook for the next 6 months, with product and material details such as MKT Code, DBL Code, Product Name, Raw Material, Product Code, Material Code, Material Name, Type, UoM, and the coverage-related planning columns. Please complete the blank entries in the M/C Coverage Stock column on the Plan Master sheet, specifically AK5:AK22, AK24:AK34, AK36:AK39, and AK41:AK44. Some other blank planning fields in the sheet naturally support these coverage stock entries, so make sure the related monthly and material information is in place before finalizing the M/C Coverage Stock column. Save the completed file as an .xlsx workbook.", + "prompt_cn": "Plan Master 工作表是一份用于未来 6 个月销售计划的工作簿，里面包含 MKT Code、DBL Code、Product Name、Raw Material、Product Code、Material Code、Material Name、Type、UoM 以及与库存覆盖相关的计划栏位。请补完整个 Plan Master 工作表中 M/C Coverage Stock 列的空白项，具体位置是 AK5:AK22、AK24:AK34、AK36:AK39 和 AK41:AK44。表中还有一些空白的计划字段会自然影响这些库存覆盖数据，因此在最终填写 M/C Coverage Stock 列之前，请确保相关的月份和物料信息也已补齐。请将完成后的文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt is specific to the Plan Master sales planning sheet, names the target column and ranges, mentions prerequisite context only at a high level, and avoids formulas or operational hints.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 15, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 15, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 4 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 40.9, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..a8d334310159f9ec8f3c5c8b67e45d55857be273 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: the mask is clean, targets are real cells, formulas are deterministic, and the dependency chain is reconstructible from visible sheet structure and headers.", + "D1": { + "score": 5, + "reason": "All 74 contract cells are truly masked, there are no phantom cells beyond the sheet range, no contract cells left unmasked, and no extra removed cells. Visible formulas in nearby columns provide structural clues but do not make the target trivially copyable without reasoning through AG and AK dependencies." + }, + "D2": { + "score": 5, + "reason": "Ground-truth formulas are consistent with the source workbook: AG is the closing FG stock sum and AK computes coverage as AG divided by the corresponding Com. ROFO 6M value in column N. The formulas are deterministic and cached values align with the displayed source data." + }, + "D3": { + "score": 4, + "reason": "The prompt clearly identifies the final target column and exact AK ranges to complete. It also indicates that related blank planning fields support the final coverage values, though it does not explicitly name AG as the prerequisite column, making the supporting work slightly implicit." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the NL alone, the task is solvable with moderate reasoning. The headers show AG as 'Closing FG Stock Pack' under the commercial stock group, with visible component columns AD, AE, and AF. The analogous visible AJ formula sums AH and AI, supporting the inference that AG sums AD:AF. For AK, the header 'M/C Coverage Stock' plus visible month-stock formulas AP=AO/N and AS=AR/O provide a strong structural clue that coverage is closing stock divided by the relevant ROFO/monthly demand column N. The only minor gap is the exact IFERROR fallback string, but the numeric outputs are inferable for the given rows.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source spreadsheet appears structurally sound: formulas are consistent across rows, headers are meaningful enough for the planning context, and there are no signs of circular references, corrupted values, or broken dependencies in the provided context. Some headers are sparse or merged-style, but this does not indicate a data-quality defect." + }, + "D6": { + "score": 5, + "reason": "The NL request sounds like a plausible workplace instruction for completing a sales planning workbook. It avoids benchmark jargon and gives practical completion and saving instructions." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality chain-masked task with clean masking, correct ground truth, adequate natural-language guidance, and sufficient visible evidence for reconstructing both prerequisite and final formulas.", + "frontier_hardness": { + "score": 2, + "reason": "This is a short depth-2, single-sheet task with only two formula patterns. A strong frontier model should infer AG from adjacent stock-summing structure and AK from visible coverage/month-stock patterns. It requires some reasoning but is unlikely to cause failure.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 52348, + "_timing_load_workbooks": 1.58, + "_timing_context": 0.04, + "_timing_api": 128.92, + "local_difficulty": { + "difficulty_score": 44.2, + "difficulty": "medium", + "depth": 2, + "total_masked": 74, + "is_cross_sheet": false, + "unique_patterns": 2, + "avg_complexity": 6, + "cross_refs": 0, + "visible_exemplar_ratio": 0.026 + }, + "task_id": "single_sheet__dag_72dd5a6d923b", + "elapsed": 130.5, + "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-05150/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..beb3926ad235080eed4c39d0f8ba115d0a7c90de --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/target_contract.json @@ -0,0 +1,123 @@ +{ + "task_id": "single_sheet__dag_72dd5a6d923b", + "category": "single_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Plan Master", + "column": "AK", + "column_header": "M/C Coverage Stock", + "cell_range": "AK5:AK22, AK24:AK34, AK36:AK39, AK41:AK44", + "cell_count": 37, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 36, + 37, + 38, + 39, + 41, + 42, + 43, + 44 + ], + "first_row_label": "A002", + "last_row_label": "P008" + } + ], + "cell_count": 37, + "formula_families": [ + "conditional" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Plan Master", + "column": "AG", + "column_header": "Closing FG Stock Pack 22 Oct'22", + "cell_range": "AG5:AG22, AG24:AG34, AG36:AG39, AG41:AG44", + "cell_count": 37, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 36, + 37, + 38, + 39, + 41, + 42, + 43, + 44 + ], + "first_row_label": "A002", + "last_row_label": "P008" + } + ], + "cell_count": 37 + } + ], + "total_prerequisite_cells": 37, + "total_masked_cells": 74, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "Plan Master" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..8e7a09a947403f532bfbc6c27ac2c9d22b56caba --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05150/task_meta.json @@ -0,0 +1,94 @@ +{ + "fcb_id": "FCB-05150", + "task_id": "single_sheet__dag_72dd5a6d923b", + "tier": "T3_MEDIUM", + "category": "single_sheet", + "depth": 2, + "total_masked": 74, + "is_cross_sheet": false, + "prompt_en": "The Plan Master sheet is a sales planning workbook for the next 6 months, with product and material details such as MKT Code, DBL Code, Product Name, Raw Material, Product Code, Material Code, Material Name, Type, UoM, and the coverage-related planning columns. Please complete the blank entries in the M/C Coverage Stock column on the Plan Master sheet, specifically AK5:AK22, AK24:AK34, AK36:AK39, and AK41:AK44. Some other blank planning fields in the sheet naturally support these coverage stock entries, so make sure the related monthly and material information is in place before finalizing the M/C Coverage Stock column. Save the completed file as an .xlsx workbook.", + "prompt_cn": "Plan Master 工作表是一份用于未来 6 个月销售计划的工作簿，里面包含 MKT Code、DBL Code、Product Name、Raw Material、Product Code、Material Code、Material Name、Type、UoM 以及与库存覆盖相关的计划栏位。请补完整个 Plan Master 工作表中 M/C Coverage Stock 列的空白项，具体位置是 AK5:AK22、AK24:AK34、AK36:AK39 和 AK41:AK44。表中还有一些空白的计划字段会自然影响这些库存覆盖数据，因此在最终填写 M/C Coverage Stock 列之前，请确保相关的月份和物料信息也已补齐。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": 4, + "D6": 5, + "frontier_hardness": 2, + "local_difficulty": 44.2 + }, + "source_file_id": "803720d1667641661-connecting-vlookup-data-from-a-drop-down-menu-long-term-production-plan", + "inferred_domain": "sales", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Plan Master", + "used_range": "A1:BS46", + "row_count": 46, + "col_count": 71, + "has_header": false, + "title_hint": "Plan Master", + "header_info": null + }, + { + "name": "BOM (ALL)", + "used_range": "A1:J645", + "row_count": 645, + "col_count": 10, + "has_header": false, + "title_hint": "BOM (ALL)", + "header_info": null + }, + { + "name": "RM-MRP", + "used_range": "A1:U270", + "row_count": 270, + "col_count": 21, + "has_header": false, + "title_hint": "RM MRP", + "header_info": null + }, + { + "name": "PM-MRP", + "used_range": "A1:U269", + "row_count": 269, + "col_count": 21, + "has_header": false, + "title_hint": "PM MRP", + "header_info": null + }, + { + "name": "STK 05-11-22", + "used_range": "A1:P797", + "row_count": 797, + "col_count": 16, + "has_header": true, + "title_hint": "STK 05 11 22", + "header_info": { + "sheet": "STK 05-11-22", + "header_row": 1, + "headers": { + "A": "Item Code", + "B": "Description", + "C": "Item Category", + "D": "Item Type", + "E": "Subinventory", + "F": "Locator", + "G": "Lot No", + "H": "Manufacture Date", + "I": "Expiration Date", + "J": "Supplier Lot", + "K": "Status Code", + "L": "On Hand", + "M": "Primary UOM", + "N": "Sec.", + "O": "No of Days", + "P": "Manufacture Name" + } + } + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..07a4962a3e46c15ba8412e356871965a2d758c72 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/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 168 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=150428B, src=181566B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty 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90, + 91, + 92, + 93, + 94, + 95, + 96, + 97, + 98, + 99, + 100, + 101, + 102, + 103, + 104, + 105, + 106, + 107, + 108, + 109, + 110, + 111, + 112, + 113, + 114, + 115, + 116, + 117, + 118, + 119, + 120, + 121, + 122, + 123, + 124, + 125, + 126, + 127, + 128, + 129, + 130, + 131, + 132, + 133, + 134, + 135, + 136, + 137, + 138, + 139, + 140, + 141, + 142, + 143, + 144, + 145, + 146, + 147, + 149, + 150, + 151, + 152, + 153, + 154, + 155, + 156, + 157, + 158, + 159, + 160, + 161, + 162, + 163, + 164, + 165, + 166, + 167, + 168, + 169, + 170, + 171, + 172, + 173, + 174, + 175, + 176 + ], + "row_ranges": "8-147,149-176", + "row_count": 168, + "pattern_id": "pf_0002", + "normalized_pattern": "=IF(OR([C-3,R]=0,[C-4,R]=0),\"-\",NETWORKDAYS([C-4,R],[C-3,R]))", + "sample_formula": "=IF(OR(H8=0,G8=0),\" - \",NETWORKDAYS(G8,H8))" + } + ], + "new_eval_cells": 168, + "total_masked_cells": 336 + } + ], + "sink": { + "region_id": "rg_00603", + "sheet": "GanttChart", + "col": "L", + "pattern_id": "pf_0003", + "row_count": 140, + "family_size": 168 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/nl_task.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..cfd3279c16c676fcf9e371c4e0a22256914e6192 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "single_sheet__dag_7e48bdc2fafa", + "prompt_en": "The GanttChart sheet is an operations schedule headed “[Person_1] Gantt,” with visible fields such as Assemble Communities, Display Week, WBS, LEAD, and ADDITIONAL INTERNAL RESOURCES. Please fill in the missing entries in the WEEKS column on that sheet, specifically L8:L147 and L149:L176. Some of the schedule fields in the workbook depend on other blanks being in place first, so make sure any supporting blank entries needed for the WEEKS column are completed in a sensible order. When finished, save the completed workbook as an .xlsx file.", + "prompt_cn": "GanttChart 工作表是一份运营排期表，标题为“[Person_1] Gantt”，表中能看到 Assemble Communities、Display Week、WBS、LEAD 和 ADDITIONAL INTERNAL RESOURCES 等字段。请补全该工作表中 WEEKS 列缺失的内容，位置是 L8:L147 和 L149:L176。工作簿里有些排期字段需要先把相关的空白内容补好，WEEKS 列才会完整合理，所以请按合适的顺序把所需的空白项填上。完成后，请将补全的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt frames the workbook using only visible sheet/header labels, identifies the target WEEKS column and required ranges, mentions prerequisite blanks naturally without explaining any operations, and ends with the required .xlsx save instruction.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 12, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 7, + "step_by_step": 5, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 2 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 10.0, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..01c1e77ae67c8202be438b58b12698aef22e676d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: The mask is clean and the task is reasonably reconstructible from visible schedule dates, headers, and the prompt, though the prerequisite formula is only implied rather than explicitly stated.", + "D1": { + "score": 5, + "reason": "All 336 contract cells are real cells within the GanttChart sheet range, and the diff summary shows all contract cells truly masked with no extra masking outside the contract. The preserved formula/cache-loss entries are openpyxl artifacts and not an issue. There is no problematic formula leakage making the task trivially copyable." + }, + "D2": { + "score": 5, + "reason": "The ground-truth final formulas are consistent and deterministic: each WEEKS cell is calculated as K row divided by 7 using =SUM(Kn/7). The cached values shown match the implied WORK DAYS values, e.g. L8 = 157/7 = 22.428571..., and the pattern is consistent across the target ranges." + }, + "D3": { + "score": 4, + "reason": "The NL prompt clearly identifies the sheet and final WEEKS ranges to fill. It also warns that supporting blanks must be completed first, which fits the masked K prerequisite column. However, it does not explicitly name the prerequisite WORK DAYS range, so there is a minor clarity gap." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL prompt, the solver can see the relevant headers START, END, DAYS, WORK DAYS, and WEEKS, with visible start/end dates for all masked rows. This gives enough structural evidence to infer that WORK DAYS should be computed from START/END as business days and WEEKS should derive from WORK DAYS by converting days to weeks. The dependency chain K before L is visible from the adjacent column layout and the prompt's warning about supporting blanks. The main weakness is that there is no visible same-column formula exemplar for K or L in the provided masked rows, so the exact Excel idiom NETWORKDAYS and the /7 conversion must be inferred from headers/context rather than copied.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source sheet appears internally sound: headers are meaningful, formulas are consistent across the schedule rows, dates and adjacent calculations align with the intended Gantt schedule structure, and there is no evidence of corrupted values, circular references, broken formulas, or cross-sheet dependency issues." + }, + "D6": { + "score": 4, + "reason": "The prompt sounds mostly like a realistic workplace request, describing the schedule and asking to fill missing WEEKS entries. The explicit cell ranges and file-saving instruction are somewhat benchmark-like, but still natural enough for an operational spreadsheet task." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task overall: clean masking, correct GT, clear final target, and solvable dependency reconstruction from visible schedule structure. The only notable limitation is that the prerequisite and final formulas are inferred from headers/context rather than supported by visible same-column exemplars.", + "frontier_hardness": { + "score": 2, + "reason": "This is a short single-sheet depth-2 chain with only two repeated formula patterns and no cross-sheet dependencies. A frontier model should likely infer WORK DAYS from START/END and WEEKS from WORK DAYS, then apply the formulas across the listed rows. The lack of visible formula exemplars adds some uncertainty but not enough to make it genuinely hard for a frontier model.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 162681, + "_timing_load_workbooks": 2.9, + "_timing_context": 0.08, + "_timing_api": 53.23, + "local_difficulty": { + "difficulty_score": 52.9, + "difficulty": "medium", + "depth": 2, + "total_masked": 336, + "is_cross_sheet": false, + "unique_patterns": 2, + "avg_complexity": 11, + "cross_refs": 0, + "visible_exemplar_ratio": 0.006 + }, + "task_id": "single_sheet__dag_7e48bdc2fafa", + "elapsed": 56.2, + "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-05230/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..845f85a5570b8794c597369deaae650e4580b2ec --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/target_contract.json @@ -0,0 +1,385 @@ +{ + "task_id": "single_sheet__dag_7e48bdc2fafa", + "category": "single_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "GanttChart", + "column": "L", + "column_header": "WEEKS", + "cell_range": "L8:L147, L149:L176", + "cell_count": 168, + "rows": [ + 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, + 102, + 103, + 104, + 105, + 106, + 107, + 108, + 109, + 110, + 111, + 112, + 113, + 114, + 115, + 116, + 117, + 118, + 119, + 120, + 121, + 122, + 123, + 124, + 125, + 126, + 127, + 128, + 129, + 130, + 131, + 132, + 133, + 134, + 135, + 136, + 137, + 138, + 139, + 140, + 141, + 142, + 143, + 144, + 145, + 146, + 147, + 149, + 150, + 151, + 152, + 153, + 154, + 155, + 156, + 157, + 158, + 159, + 160, + 161, + 162, + 163, + 164, + 165, + 166, + 167, + 168, + 169, + 170, + 171, + 172, + 173, + 174, + 175, + 176 + ], + "first_row_label": "t", + "last_row_label": "4.11" + } + ], + "cell_count": 168, + "formula_families": [ + "aggregation" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "GanttChart", + "column": "K", + "column_header": "WORK DAYS", + "cell_range": "K8:K147, K149:K176", + "cell_count": 168, + "rows": [ + 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, + 102, + 103, + 104, + 105, + 106, + 107, + 108, + 109, + 110, + 111, + 112, + 113, + 114, + 115, + 116, + 117, + 118, + 119, + 120, + 121, + 122, + 123, + 124, + 125, + 126, + 127, + 128, + 129, + 130, + 131, + 132, + 133, + 134, + 135, + 136, + 137, + 138, + 139, + 140, + 141, + 142, + 143, + 144, + 145, + 146, + 147, + 149, + 150, + 151, + 152, + 153, + 154, + 155, + 156, + 157, + 158, + 159, + 160, + 161, + 162, + 163, + 164, + 165, + 166, + 167, + 168, + 169, + 170, + 171, + 172, + 173, + 174, + 175, + 176 + ], + "first_row_label": "t", + "last_row_label": "4.11" + } + ], + "cell_count": 168 + } + ], + "total_prerequisite_cells": 168, + "total_masked_cells": 336, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "GanttChart" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..0af631da1823a2c84a51c9022e11358204d9c4cf --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05230/task_meta.json @@ -0,0 +1,37 @@ +{ + "fcb_id": "FCB-05230", + "task_id": "single_sheet__dag_7e48bdc2fafa", + "tier": "T3_MEDIUM", + "category": "single_sheet", + "depth": 2, + "total_masked": 336, + "is_cross_sheet": false, + "prompt_en": "The GanttChart sheet is an operations schedule headed “[Person_1] Gantt,” with visible fields such as Assemble Communities, Display Week, WBS, LEAD, and ADDITIONAL INTERNAL RESOURCES. Please fill in the missing entries in the WEEKS column on that sheet, specifically L8:L147 and L149:L176. Some of the schedule fields in the workbook depend on other blanks being in place first, so make sure any supporting blank entries needed for the WEEKS column are completed in a sensible order. When finished, save the completed workbook as an .xlsx file.", + "prompt_cn": "GanttChart 工作表是一份运营排期表，标题为“[Person_1] Gantt”，表中能看到 Assemble Communities、Display Week、WBS、LEAD 和 ADDITIONAL INTERNAL RESOURCES 等字段。请补全该工作表中 WEEKS 列缺失的内容，位置是 L8:L147 和 L149:L176。工作簿里有些排期字段需要先把相关的空白内容补好，WEEKS 列才会完整合理，所以请按合适的顺序把所需的空白项填上。完成后，请将补全的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 2, + "local_difficulty": 52.9 + }, + "source_file_id": "687152d1594998297-conditional-formatting-override-assemble-pms-ganntt-draft-template-mook-08-", + "inferred_domain": "operations", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "GanttChart", + "used_range": "A1:LV184", + "row_count": 184, + "col_count": 334, + "has_header": false, + "title_hint": "GanttChart", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/audit.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..c820fb52b8e619cc4d27e51e21e2ffa6d58c02f5 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/audit.json @@ -0,0 +1,413 @@ +{ + "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 12 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=19164B, src=34971B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=3.5 (total=42, final=12)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "31 unique values across 42 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: Sheet2!V→Sheet2 (2)!V(30/30)" + }, + { + "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": 1, + "checks": [ + { + "check": "cell_range_match", + "pass": false, + "detail": "contract=2, prompt=1, missing=1", + "missing_ranges": [ + "V4:V33" + ], + "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": true, + "detail": "contract=['Sheet2 (2)'], missing=[]", + "severity": "OK" + }, + { + "check": "no_formula_leak", + "pass": true, + "detail": "0 formula leaks", + "severity": "OK" + }, + { + "check": "no_value_leak", + "pass": true, + "detail": "0 value leaks out of 12 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": true, + "detail": "no cross-sheet refs in GT", + "severity": "OK" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 2 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['IFERROR', 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Please fill in the missing entries in that A column, specifically the blank cells in I3:I14. Some of the blank columns in this sheet are connected in the way the report is laid out, so the supporting entries need to be in place before the A column is fully meaningful. When you’re done, please save the completed workbook as an .xlsx file.", + "prompt_cn": "在 Sheet2 (2) 中，表格里有一列标为 A，目前该列正文部分还没有补完整。请填写 A 列中缺失的内容，也就是 I3:I14 这些空白单元格。这个工作表里有些空白列在报表结构上是相互关联的，因此相关的基础内容需要先补齐，A 列的内容才完整有意义。完成后，请将补好的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt stays minimal, references only the visible sheet name, column label, and target range, and avoids formulas or operational hints. It naturally mentions that some blank columns feed into others without specifying a dependency chain.", + "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": 7.9, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/release_qc.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..ebdf103008efc14717d322804bfe850f79a3fca3 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "Well-designed: masking is clean, ground truth is consistent, and the dependency chain is reconstructible from visible formulas and grid structure.", + "D1": { + "score": 5, + "reason": "All 42 contract cells are truly masked, with no extra masked cells and no phantom ranges beyond the 33-row sheet. The prerequisite masking of V4:V33 is intentional chain masking. There are visible formula exemplars in related A/B result columns, but the task is not trivially copyable because the masked V-column prerequisite must still be reconstructed." + }, + "D2": { + "score": 5, + "reason": "The layer-1 formulas are consistent with the source workbook pattern and cached values. The AGGREGATE formulas deterministically return the nth matching A-side value from V3:V33 where the W:BA grid equals the row's G value. Spot checks, such as G3=90 returning 1 and G9=225 returning 0, align with the visible arithmetic grid." + }, + "D3": { + "score": 4, + "reason": "The prompt clearly identifies the final target range I3:I14 in the A column and hints that supporting blank columns must be filled. It is somewhat vague about the prerequisite range V4:V33, but not contradictory or incomprehensible." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL prompt, the task is solvable. The final A-column formula pattern is visible in neighboring A result columns such as M/O/Q and in paired B columns, showing the AGGREGATE lookup structure. The prerequisite V column has visible seed V3=0, header 'A B', and adjacent W:AB arithmetic-grid values from which the increasing sequence in V4:V33 can be inferred. The main minor gap is that the prompt does not explicitly name V4:V33, so the solver must infer the supporting blank column from the workbook layout.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook appears structurally sound: formulas are consistent across the result table and arithmetic grid, no broken references or circularity are evident, and headers are terse but consistent with the layout." + }, + "D6": { + "score": 4, + "reason": "The NL request sounds mostly like a realistic workplace instruction and avoids benchmark jargon. It is slightly generic and indirect about supporting entries, but still natural." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task with clean masking, correct ground truth, and sufficient visible evidence for chain reconstruction. Minor prompt vagueness does not prevent solvability.", + "frontier_hardness": { + "score": 2, + "reason": "A frontier model should likely solve this. The task has a short depth-2 chain, no cross-sheet dependencies, only two formula patterns, and strong visible exemplars plus an obvious arithmetic grid for the prerequisite V column.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 46499, + "_timing_load_workbooks": 0.19, + "_timing_context": 0.01, + "_timing_api": 35.04, + "local_difficulty": { + "difficulty_score": 41.4, + "difficulty": "medium", + "depth": 2, + "total_masked": 42, + "is_cross_sheet": false, + "unique_patterns": 2, + "avg_complexity": 6, + "cross_refs": 0, + "visible_exemplar_ratio": 0.143 + }, + "task_id": "single_sheet__dag_aa400ae8a874", + "elapsed": 35.2, + "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-05499/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..2e7d828948899137b549c8c1837e9f49ac237d54 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/target_contract.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..3325e9fa60461bd8fd231ff6d738e7bf0ea68781 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/target_contract.json @@ -0,0 +1,91 @@ +{ + "task_id": "single_sheet__dag_aa400ae8a874", + "category": "single_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Sheet2 (2)", + "column": "I", + "column_header": "A", + "cell_range": "I3:I14", + "cell_count": 12, + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14 + ], + "first_row_label": "A", + "last_row_label": "A" + } + ], + "cell_count": 12, + "formula_families": [ + "conditional" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Sheet2 (2)", + "column": "V", + "column_header": "A B", + "cell_range": "V4:V33", + "cell_count": 30, + "rows": [ + 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 + ], + "first_row_label": "A", + "last_row_label": "" + } + ], + "cell_count": 30 + } + ], + "total_prerequisite_cells": 30, + "total_masked_cells": 42, + "ratio_total_vs_final": 3.5, + "sheets_involved": [ + "Sheet2 (2)" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/task_meta.json b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..fb37b7e6a942a34d4eb9f8feff7b778c4d93798a --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05499/task_meta.json @@ -0,0 +1,46 @@ +{ + "fcb_id": "FCB-05499", + "task_id": "single_sheet__dag_aa400ae8a874", + "tier": "T3_MEDIUM", + "category": "single_sheet", + "depth": 2, + "total_masked": 42, + "is_cross_sheet": false, + "prompt_en": "On Sheet2 (2), the table has a column labeled A that is still incomplete in the body of the sheet. Please fill in the missing entries in that A column, specifically the blank cells in I3:I14. Some of the blank columns in this sheet are connected in the way the report is laid out, so the supporting entries need to be in place before the A column is fully meaningful. When you’re done, please save the completed workbook as an .xlsx file.", + "prompt_cn": "在 Sheet2 (2) 中，表格里有一列标为 A，目前该列正文部分还没有补完整。请填写 A 列中缺失的内容，也就是 I3:I14 这些空白单元格。这个工作表里有些空白列在报表结构上是相互关联的，因此相关的基础内容需要先补齐，A 列的内容才完整有意义。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": 5, + "D6": 4, + "frontier_hardness": 2, + "local_difficulty": 41.4 + }, + "source_file_id": "877686d1724495421-finding-potential-values-for-x-and-y-linear-equation", + "inferred_domain": "general", + "domain_confidence": 0.0, + "sheet_profiles": [ + { + "name": "Sheet2", + "used_range": "A1:BA33", + "row_count": 33, + "col_count": 53, + "has_header": false, + "title_hint": "Sheet2", + "header_info": null + }, + { + "name": "Sheet2 (2)", + "used_range": "A1:BA33", + "row_count": 33, + "col_count": 53, + "has_header": false, + "title_hint": "Sheet2 (2)", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05604/src.xlsx b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05604/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..a15709225162add9985825f8577b342d2584fc84 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-05604/src.xlsx differ