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a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/ground_truth_target.json new file mode 100644 index 0000000000000000000000000000000000000000..fcc425b007f7911970ea23004c93e8137f53d243 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/ground_truth_target.json @@ -0,0 +1,194 @@ +[ + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 6, + "formula": "=RANK(F6,F$6:F$29)", + "cached_value": 11, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 7, + "formula": "=RANK(F7,F$6:F$29)", + "cached_value": 2, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 8, + "formula": "=RANK(F8,F$6:F$29)", + "cached_value": 16, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 9, + "formula": "=RANK(F9,F$6:F$29)", + "cached_value": 4, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 10, + "formula": "=RANK(F10,F$6:F$29)", + "cached_value": 7, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 11, + "formula": "=RANK(F11,F$6:F$29)", + "cached_value": 14, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 12, + "formula": "=RANK(F12,F$6:F$29)", + "cached_value": 1, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 13, + "formula": "=RANK(F13,F$6:F$29)", + "cached_value": 13, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 14, + "formula": "=RANK(F14,F$6:F$29)", + "cached_value": 18, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 15, + "formula": "=RANK(F15,F$6:F$29)", + "cached_value": 3, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 16, + "formula": "=RANK(F16,F$6:F$29)", + "cached_value": 8, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 17, + "formula": "=RANK(F17,F$6:F$29)", + "cached_value": 10, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 18, + "formula": "=RANK(F18,F$6:F$29)", + "cached_value": 15, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 19, + "formula": "=RANK(F19,F$6:F$29)", + "cached_value": 9, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 20, + "formula": "=RANK(F20,F$6:F$29)", + "cached_value": 19, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 21, + "formula": "=RANK(F21,F$6:F$29)", + "cached_value": 12, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 22, + "formula": "=RANK(F22,F$6:F$29)", + "cached_value": 6, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 23, + "formula": "=RANK(F23,F$6:F$29)", + "cached_value": 5, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 24, + "formula": "=RANK(F24,F$6:F$29)", + "cached_value": 17, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 25, + "formula": "=RANK(F25,F$6:F$29)", + "cached_value": 19, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 26, + "formula": "=RANK(F26,F$6:F$29)", + "cached_value": 19, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 27, + "formula": "=RANK(F27,F$6:F$29)", + "cached_value": 19, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 28, + "formula": "=RANK(F28,F$6:F$29)", + "cached_value": 19, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sylvain Mercier", + "col": "E", + "row": 29, + "formula": "=RANK(F29,F$6:F$29)", + "cached_value": 19, + "pattern_id": "pf_0001" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/nl_task.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..471a9d8e85b95192fb42789ac4fa520449c0d988 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_f92cb6ba3add", + "prompt_en": "The workbook is for the Ligue de Billard De Cowansville, with player/result sheets such as \"Sylvain Mercier\" and league labels like Points, Mon pointage, Pos., and Résultats. On the \"Sylvain Mercier\" sheet, please complete the blank entries in the \"Avant Noël\" column, specifically E6:E29. Those pre-Christmas entries need to be in place before the related results and position summaries elsewhere in the workbook are meaningful. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "这个工作簿是 Ligue de Billard De Cowansville 的台球联赛记录，里面有像“寰Sylvain Mercier”这样的选手/结果工作表，也能看到 Points、Mon pointage、Pos. 和 Résultats 等联赛相关标签。请在“Sylvain Mercier”工作表中补全“Avant Noël”列里的空白内容，位置是 E6:E29。这些圣诞节前的记录需要先填写好，工作簿中相关的结果和排名汇总才有意义。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the workbook context, sheet, target column, and range without giving calculation or lookup hints. It mentions the natural dependency on later summaries without detailing the operation. The Chinese version is a natural translation and keeps the same constraints.", + "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": 34.3, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/release_qc.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..0ce392dcb18d76304e01f7746f693891f4787c50 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: the mask is clean, cells are real, GT formulas are consistent, and the dependency chain is reconstructible from visible workbook structure despite being hard.", + "D1": { + "score": 4, + "reason": "All masked cells are within real sheet ranges and the diff summary shows exactly 75 truly masked contract cells with no extra masking. Formula-cache loss is only the known openpyxl artifact. There is useful adjacent-pattern leakage via visible Pos./Résultats columns, but not trivially copyable because the solver must still infer the cross-sheet F-to-Player DATA R dependency and the R total-points formulas. Minor concern: some masked prerequisite cells such as Sylvain Mercier!F5 / Player DATA!R3 and Player DATA!R28 appear not strictly necessary for final E6:E29, but they are real, in-pattern cells and do not break the task." + }, + "D2": { + "score": 5, + "reason": "The GT formulas are coherent with the source workbook: E6:E29 rank the corresponding F-row result against F$6:F$29, F rows pull Player DATA totals, and Player DATA R rows compute visible pre-Christmas point totals. The formulas are deterministic and the cached rank values shown are plausible and consistent with the described formulas." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the final sheet, column, and exact range E6:E29 to complete. It provides relevant workbook context and labels. However, it does not explicitly mention the masked prerequisite blanks in Sylvain Mercier!F5:F29 or Player DATA!R3:R28, so the full chain requirement must be inferred from the workbook rather than the prompt." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the NL alone, the chain is reconstructible. The Sylvain Mercier sheet visibly shows paired Pos./Résultats structures: G/H and I/J contain visible formulas, giving strong evidence that E ranks F results. The visible G formulas also reveal the row-6 boundary pattern using H$6:H$29, supporting E6:E29 as RANK(Frow,F$6:F$29). The F column is blank, but B-row player references and the Résultats/Avant Noël layout indicate it should pull from Player DATA. On Player DATA, R is headed 'Total de points' and adjacent S visibly counts C:Q, while the date columns and point values provide enough evidence that R should total C:Q. The main gap is that the NL does not explicitly name Player DATA, so the solver must infer that dependency from visible workbook structure.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook data appears structurally sound: formulas are consistent across rows and sheets, headers are meaningful for the league/statistics context, and there is no evidence of corrupted values, broken references, circularity, or inconsistent column semantics in the provided source windows." + }, + "D6": { + "score": 5, + "reason": "The NL reads like a natural workplace-style spreadsheet request. It avoids benchmark jargon, references the real workbook context, and gives a practical save instruction." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality hard cross-sheet chain task. The masking is clean, the formulas are deterministic, and the evidence is visible enough for reconstruction. Minor prompt incompleteness around prerequisites is acceptable because the workbook structure exposes the chain.", + "frontier_hardness": { + "score": 4, + "reason": "This is genuinely hard: the solver must reconstruct a three-layer chain across sheets, infer total-points formulas in Player DATA, map those totals into Sylvain Mercier results, then rank the resulting values with the correct row-boundary convention. Adjacent visible formulas provide evidence, so it is not hidden-rule unsolvable, but the multi-hop dependency and many masked cells would likely challenge even a strong frontier model.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 40215, + "_timing_load_workbooks": 0.27, + "_timing_context": 0.01, + "_timing_api": 82.63, + "local_difficulty": { + "difficulty_score": 70.3, + "difficulty": "hard", + "depth": 3, + "total_masked": 75, + "is_cross_sheet": true, + "unique_patterns": 3, + "avg_complexity": 4, + "cross_refs": 25, + "visible_exemplar_ratio": 0.111 + }, + "task_id": "cross_sheet__dag_f92cb6ba3add", + "elapsed": 82.9, + "publish_decision": "YES", + "release_tier": "FRONTIER_HARD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/target_contract.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..ce23fdcef487ad8193a36de39a83a4047dcb6400 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/target_contract.json @@ -0,0 +1,142 @@ +{ + "task_id": "cross_sheet__dag_f92cb6ba3add", + "category": "cross_sheet", + "depth": 3, + "final_target": { + "regions": [ + { + "sheet": "Sylvain Mercier", + "column": "E", + "column_header": "Avant Noël", + "cell_range": "E6:E29", + "cell_count": 24, + "rows": [ + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29 + ], + "first_row_label": "[Person_4]", + "last_row_label": "Spare 2" + } + ], + "cell_count": 24, + "formula_families": [ + "ranking" + ] + }, + "prerequisite_steps": [ + { + "layer": 3, + "regions": [ + { + "sheet": "Player DATA", + "column": "R", + "column_header": "Total de points", + "cell_range": "R3:R28", + "cell_count": 26, + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28 + ], + "first_row_label": "Alain Piette", + "last_row_label": "Total Possible" + } + ], + "cell_count": 26 + }, + { + "layer": 2, + "regions": [ + { + "sheet": "Sylvain Mercier", + "column": "F", + "column_header": "Résultats", + "cell_range": "F5:F29", + "cell_count": 25, + "rows": [ + 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 + ], + "first_row_label": "Alain Piette", + "last_row_label": "Spare 2" + } + ], + "cell_count": 25 + } + ], + "total_prerequisite_cells": 51, + "total_masked_cells": 75, + "ratio_total_vs_final": 3.1, + "sheets_involved": [ + "Player DATA", + "Sylvain Mercier" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/task_meta.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..5a7b75551ad1d809d72310e39efcdccd3c1b0952 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00657/task_meta.json @@ -0,0 +1,64 @@ +{ + "fcb_id": "FCB-00657", + "task_id": "cross_sheet__dag_f92cb6ba3add", + "tier": "T1_FRONTIER", + "category": "cross_sheet", + "depth": 3, + "total_masked": 75, + "is_cross_sheet": true, + "prompt_en": "The workbook is for the Ligue de Billard De Cowansville, with player/result sheets such as \"Sylvain Mercier\" and league labels like Points, Mon pointage, Pos., and Résultats. On the \"Sylvain Mercier\" sheet, please complete the blank entries in the \"Avant Noël\" column, specifically E6:E29. Those pre-Christmas entries need to be in place before the related results and position summaries elsewhere in the workbook are meaningful. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "这个工作簿是 Ligue de Billard De Cowansville 的台球联赛记录，里面有像“寰Sylvain Mercier”这样的选手/结果工作表，也能看到 Points、Mon pointage、Pos. 和 Résultats 等联赛相关标签。请在“Sylvain Mercier”工作表中补全“Avant Noël”列里的空白内容，位置是 E6:E29。这些圣诞节前的记录需要先填写好，工作簿中相关的结果和排名汇总才有意义。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 4, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 5, + "frontier_hardness": 4, + "local_difficulty": 70.3 + }, + "source_file_id": "63033d1264001379-auto-sort-pool-league-player-data", + "inferred_domain": "general", + "domain_confidence": 0.0, + "sheet_profiles": [ + { + "name": "Sylvain Mercier", + "used_range": "A1:M30", + "row_count": 30, + "col_count": 13, + "has_header": false, + "title_hint": "Sylvain Mercier", + "header_info": null + }, + { + "name": "Player DATA", + "used_range": "A1:AM29", + "row_count": 29, + "col_count": 39, + "has_header": false, + "title_hint": "Player DATA", + "header_info": null + }, + { + "name": "Fax", + "used_range": "A1:M30", + "row_count": 30, + "col_count": 13, + "has_header": false, + "title_hint": "Fax", + "header_info": null + }, + { + "name": "Calculations", + "used_range": "A1:CN29", + "row_count": 29, + "col_count": 92, + "has_header": false, + "title_hint": "Calculations", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/audit.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..707e81a64498c3ce3f2497cfff624207f0e61c0d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/audit.json @@ -0,0 +1,420 @@ +{ + "gate": { + "pre_nl_gate": { + "gate_label": "GATE_PASS", + "gate_pass": true, + "hard_fails": 0, + "warns": 0, + "checks": [ + { + "check": "final_target_gate", + "pass": true, + "detail": "final_target has 36 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=50556B, src=72846B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=1.9 (total=68, final=36)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "68 unique values across 68 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, 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0000000000000000000000000000000000000000..444f8b47ca7f603ac98372aacccc003fc6f0585b Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/nl_task.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..3a7d858ac9fbad4bc18bb74cdb4a0c29ce8acd94 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_37ca2b16a643", + "prompt_en": "The Shed-2 sheet is part of a workbook labeled “Minimum Ventilation Rate : Broilers,” with shed details such as Shed No., No. of Birds, Fan Capacity, Placement Date, and the day-by-day fields for Age, Weight, On Floor, M3/Hr, Manual, Cycle, On Time, and Off Time. Please fill in the blank entries in the On Floor column on Sheet “Shed-2”, specifically C8:C43. Those On Floor figures need to be in place before the surrounding ventilation timing fields on the sheet are complete. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "“Shed-2”工作表属于一个标注为“Minimum Ventilation Rate : Broilers”的工作簿，里面包含 Shed No.、No. of Birds、Fan Capacity、Placement Date，以及按天记录的 Age、Weight、On Floor、M3/Hr、Manual、Cycle、On Time 和 Off Time 等字段。请把“Shed-2”工作表中 On Floor 列的空白项补齐，位置是 C8:C43。On Floor 这些数据需要先补完整，周围的通风时间相关字段才算完整。完成后，请将文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt names the workbook context, sheet, target column, and range clearly while avoiding formulas, operational hints, and invented business details. It also mentions the natural dependency without spelling out any method.", + "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": 44.0, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/release_qc.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..9efca435f1ff92acf59623d6d4c06bcbf06c65e5 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "Well-designed overall: masks are clean and real, GT is consistent, and the dependency chain appears reconstructible from visible workbook structure despite limited NL mention of prerequisites.", + "D1": { + "score": 5, + "reason": "All 68 contract cells are truly masked, with no contract misses and no extra masking outside the contract. The ranges are within the actual Shed-2 sheet dimensions, so there are no phantom cells. Formula-cache loss is correctly identified as an openpyxl artifact and not additional masking. Visible formulas in adjacent columns and likely analogous sheets provide structural clues, but not a same-range trivially copyable leak within the target mask." + }, + "D2": { + "score": 5, + "reason": "The ground-truth target formulas are deterministic and internally consistent: C rows compute On Floor / Total Kgs as $J$3 multiplied by the row's weight in column B. Cached values align with the formulas, e.g. C8 = 25205 * 0.042 = 1058.61 and C9 = 25205 * 0.057 = 1436.685. No inconsistencies or non-deterministic formulas are evident." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the target sheet and target range, Shed-2!C8:C43, and describes the column as On Floor / Total Kgs in the broiler ventilation context. However, it does not mention that prerequisite blanks in Gms and No. of Birds also need reconstruction, nor does it point toward the Information sheet, so it is slightly under-specified for the full chain-masked task." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx plus the prompt, the task appears solvable with effort. The target C formula can be inferred from visible headers and surrounding formulas: column B is Weight/Gms, J3 is No. of Birds, and visible D-row formulas use $J$3*Brow*Erow, implying total kg/on-floor mass is $J$3*Brow. The blank J3 is labeled No. of Birds and the workbook contains Information and parallel Shed sheets, which should provide cross-sheet structural evidence for the J3 dependency. The masked B-column weights have arbitrary-looking schedule increments, so they require discovering the pattern from visible workbook structure or analogous sheets rather than simple local inference; this is a real reasoning burden but not a fatal evidence gap. Minor issue: the NL does not mention the Information sheet or prerequisite blanks.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source spreadsheet appears structurally sound: headers are meaningful and consistent, formulas reference valid cells/sheets, no chain errors are reported, and the dependency structure is coherent for the ventilation calculation. No evidence of corruption, circularity, broken formulas, or malformed ranges is present." + }, + "D6": { + "score": 5, + "reason": "The NL request sounds natural and workplace-like. It describes the workbook context, the sheet, the target column, and the expected save format without benchmark jargon or unnatural formula-reconstruction language." + }, + "total": 28, + "verdict": "RELEASE", + "verdict_reason": "High-quality chain-masked task with clean masking, correct GT, and sufficient workbook evidence for a difficult but solvable cross-sheet reconstruction. The only minor weakness is that the NL does not explicitly mention prerequisite blanks or the Information sheet.", + "frontier_hardness": { + "score": 4, + "reason": "This is hard for a frontier model because it requires reconstructing a simultaneous dependency chain: target On Floor formulas depend on both masked weights and a masked bird-count cell, and the bird-count/weight schedule evidence must be inferred from surrounding formulas and cross-sheet workbook structure. It is not just a direct local copy operation, especially for J3 and the B-column schedule.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 44076, + "_timing_load_workbooks": 0.83, + "_timing_context": 0.02, + "_timing_api": 76.05, + "local_difficulty": { + "difficulty_score": 74.6, + "difficulty": "hard", + "depth": 2, + "total_masked": 68, + "is_cross_sheet": true, + "unique_patterns": 4, + "avg_complexity": 11, + "cross_refs": 9, + "visible_exemplar_ratio": 0.053 + }, + "task_id": "cross_sheet__dag_37ca2b16a643", + "elapsed": 76.9, + "publish_decision": "YES", + "release_tier": "FRONTIER_HARD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/src.xlsx b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..1ab5e33192fb0a3280f0930f7730e48be88a9c7a Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/target_contract.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..13806f6892ca2ef1115ea639e888f1855c404149 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/target_contract.json @@ -0,0 +1,128 @@ +{ + "task_id": "cross_sheet__dag_37ca2b16a643", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Shed-2", + "column": "C", + "column_header": "On Floor", + "cell_range": "C8:C43", + "cell_count": 36, + "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 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 36, + "formula_families": [ + "arithmetic" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Shed-2", + "column": "B", + "column_header": "Gms", + "cell_range": "B9:B10, B15:B43", + "cell_count": 31, + "rows": [ + 9, + 10, + 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 + ], + "first_row_label": "", + "last_row_label": "" + }, + { + "sheet": "Shed-2", + "column": "J", + "column_header": "Two", + "cell_range": "J3", + "cell_count": 1, + "rows": [ + 3 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 32 + } + ], + "total_prerequisite_cells": 32, + "total_masked_cells": 68, + "ratio_total_vs_final": 1.9, + "sheets_involved": [ + "Shed-2" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/task_meta.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..d9f611707a90ea2978f1413bb42e2f4e4a51e84c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00762/task_meta.json @@ -0,0 +1,73 @@ +{ + "fcb_id": "FCB-00762", + "task_id": "cross_sheet__dag_37ca2b16a643", + "tier": "T1_FRONTIER", + "category": "cross_sheet", + "depth": 2, + "total_masked": 68, + "is_cross_sheet": true, + "prompt_en": "The Shed-2 sheet is part of a workbook labeled “Minimum Ventilation Rate : Broilers,” with shed details such as Shed No., No. of Birds, Fan Capacity, Placement Date, and the day-by-day fields for Age, Weight, On Floor, M3/Hr, Manual, Cycle, On Time, and Off Time. Please fill in the blank entries in the On Floor column on Sheet “Shed-2”, specifically C8:C43. Those On Floor figures need to be in place before the surrounding ventilation timing fields on the sheet are complete. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "“Shed-2”工作表属于一个标注为“Minimum Ventilation Rate : Broilers”的工作簿，里面包含 Shed No.、No. of Birds、Fan Capacity、Placement Date，以及按天记录的 Age、Weight、On Floor、M3/Hr、Manual、Cycle、On Time 和 Off Time 等字段。请把“Shed-2”工作表中 On Floor 列的空白项补齐，位置是 C8:C43。On Floor 这些数据需要先补完整，周围的通风时间相关字段才算完整。完成后，请将文件保存为 .xlsx 工作簿。", + "qc": { + "total": 28, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 5, + "frontier_hardness": 4, + "local_difficulty": 74.6 + }, + "source_file_id": "182352d1348448399-getting-info-from-one-tab-to-another-as-per-date-day-copy-of-vent-matford", + "inferred_domain": "general", + "domain_confidence": 0.0, + "sheet_profiles": [ + { + "name": "Shed-1", + "used_range": "A1:BE45", + "row_count": 45, + "col_count": 57, + "has_header": false, + "title_hint": "Shed 1", + "header_info": null + }, + { + "name": "Shed-2", + "used_range": "A1:BE45", + "row_count": 45, + "col_count": 57, + "has_header": false, + "title_hint": "Shed 2", + "header_info": null + }, + { + "name": "Shed-3", + "used_range": "A1:BE45", + "row_count": 45, + "col_count": 57, + "has_header": false, + "title_hint": "Shed 3", + "header_info": null + }, + { + "name": "Shed-4", + "used_range": "A1:BE45", + "row_count": 45, + "col_count": 57, + "has_header": false, + "title_hint": "Shed 4", + "header_info": null + }, + { + "name": "Information", + "used_range": "A1:BL40", + "row_count": 40, + "col_count": 64, + "has_header": false, + "title_hint": "Information", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/audit.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..48bdfe33028682c52d9df273359a218064edb1c2 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/audit.json @@ -0,0 +1,574 @@ +{ + "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 50 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=24548B, src=32019B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=2.1 (total=106, final=50)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "41 unique values across 106 cells" + }, + { + "check": "tail_artifact", + "pass": true, + "detail": "0 bad values" + }, + { + "check": "unrecoverable_leaf", + "pass": true, + "detail": "hidden_const=50 hidden:[L1:French Mock Results!W7[2018], L1:French Mock Results!W8[2018], L1:French Mock Results!W9[2018]]", + "hidden_const_cells": [ + "L1:French Mock Results!W7[2018]", + "L1:French Mock Results!W8[2018]", + "L1:French Mock Results!W9[2018]", + "L1:French Mock Results!W10[2018]", + "L1:French Mock Results!W11[2018]", + "L1:French Mock Results!W12[2018]", + "L1:French Mock Results!W13[2018]", + "L1:French Mock Results!W14[2018]", + "L1:French Mock Results!W15[2018]", + "L1:French Mock Results!W16[2018]", + "L1:French Mock Results!W17[2018]", + "L1:French Mock Results!W18[2018]", + "L1:French Mock Results!W19[2018]", + "L1:French Mock Results!W20[2018]", + "L1:French Mock Results!W21[2018]", + "L1:French Mock Results!W22[2018]", + "L1:French Mock Results!W23[2018]", + "L1:French Mock Results!W24[2018]", + "L1:French Mock Results!W25[2018]", + "L1:French Mock Results!W26[2018]", + "L1:French Mock Results!W27[2018]", + "L1:French Mock Results!W28[2018]", + "L1:French Mock Results!W29[2018]", + "L1:French Mock Results!W30[2018]", + "L1:French Mock Results!W31[2018]", + "L1:French Mock Results!W32[2018]", + "L1:French Mock Results!W33[2018]", + "L1:French Mock Results!W34[2018]", + "L1:French Mock Results!W35[2018]", + "L1:French Mock Results!W36[2018]", + "L1:French Mock Results!W37[2018]", + "L1:French Mock Results!W38[2018]", + "L1:French Mock Results!W39[2018]", + "L1:French Mock Results!W40[2018]", + "L1:French Mock Results!W41[2018]", + "L1:French Mock Results!W42[2018]", + "L1:French Mock Results!W43[2018]", + "L1:French Mock Results!W44[2018]", + "L1:French Mock Results!W45[2018]", + "L1:French Mock Results!W46[2018]", + "L1:French Mock Results!W47[2018]", + "L1:French Mock Results!W48[2018]", + "L1:French Mock Results!W49[2018]", + "L1:French Mock Results!W50[2018]", + "L1:French Mock Results!W51[2018]", + "L1:French Mock Results!W52[2018]", + "L1:French Mock Results!W53[2018]", + "L1:French Mock Results!W54[2018]", + "L1:French Mock Results!W55[2018]", + "L1:French Mock Results!W56[2018]" + ] + }, + { + "check": "adjacent_column_leak", + "pass": true, + "detail": "leaked: French Mock Results!U→V(41/50)" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "severity": null, + "detail": "50 lookups" + }, + { + "check": "src_chain_integrity", + "pass": true, + "severity": "ok", + "detail": "clean", + "sub_checks": { + "error_cells": { + "pass": true, + "count": 0, + "cells": [] + }, + "external_refs": { + "pass": true, + "count": 0, + "cells": [] + }, + "volatile_funcs": { + "pass": true, + "count": 0, + "cells": [] + }, + "missing_sheets": { + "pass": true, + "count": 0, + "sheets": [] + }, + "circular_refs": { + "pass": true, + "cycle_cells": [] + } + } + }, + { + "check": "uniqueness_deep", + "pass": true, + "severity": "ok", + "detail": "clean" + } + ] + }, + "post_nl_validate": { + "validate_label": "SOFT_WARN", + "validate_pass": true, + "hard_fails": 0, + "soft_warns": 2, + "checks": [ + { + "check": "cell_range_match", + "pass": true, + "detail": "contract=3, prompt=1, missing=0", + "missing_ranges": [], + "severity": "OK" + }, + { + "check": "cell_count_match", + "pass": true, + "detail": "no explicit total found; skipping (natural format)", + "severity": "OK" + }, + { + "check": "step_count_match", + "pass": true, + "detail": "contract=1, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": false, + "detail": "contract=['French Mock Results', 'French Summer 2018'], missing=['French Summer 2018']", + "severity": "INFO" + }, + { + "check": "no_formula_leak", + "pass": true, + "detail": "0 formula leaks", + "severity": "OK" + }, + { + "check": "no_value_leak", + "pass": true, + "detail": "0 value leaks out of 50 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 [French Summer 2018]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 3 col groups; CONFLICTS: French Summer 2018!S12: visible='=IF(S$13=\"\",\"\",S$13)' vs GT pattern='=ROUND(R#*#/#,#)'" + }, + { + "check": "nl_gt_operation_consistency", + "pass": false, + "detail": "GT funcs: ['IF', 'INDEX', 'MATCH', 'ROUND', 'XLFN.IFNA']; MISMATCHES: GT uses INDEX but NL doesn't mention any of: find, index, look up, lookup; GT uses MATCH but NL doesn't mention any of: find, match, position", + "severity": "SOFT_WARN" + }, + { + "check": "unmatched_default_rule", + "pass": true, + "detail": "no default-rule phrase found in NL", + "severity": "OK" + }, + { + "check": "volatile_function_freeze", + "pass": true, + "detail": "volatile_cells=0", + "severity": "OK" + }, + { + "check": "direct_answer_leakage", + "pass": true, + "detail": "0 leaks out of 106 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": 106, + "total_non_none": 106, + "block_reasons": [], + "warnings": [], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "int": 106 + }, + "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": 106 + } + }, + "solver_visibility": { + "contract_cells": 106, + "total_masked": 106, + "total_visible": 877, + "depth": 2, + "block_reasons": [ + "broken_chains:100/106=94.3%" + ], + "warnings": [], + "checks": { + "broken_chains": { + "count": 100, + "checked": 106, + "details": [ + { + "cell": "French Mock Results!W7", + "missing_dep": "French Mock Results!T7", + "formula": "=_xlfn.IFNA(IF(T7&U7=\"\",\"\",IF($G7=\"F\",INDEX('French Summer 2018'!$Q$6:$Q$11,MATC" + }, + { + "cell": "French Mock Results!W16", + "missing_dep": "French Mock Results!T16", + "formula": "=_xlfn.IFNA(IF(T16&U16=\"\",\"\",IF($G16=\"F\",INDEX('French Summer 2018'!$Q$6:$Q$11,M" + }, + { + "cell": "French Mock Results!W25", + "missing_dep": "French Mock Results!T25", + "formula": "=_xlfn.IFNA(IF(T25&U25=\"\",\"\",IF($G25=\"F\",INDEX('French Summer 2018'!$Q$6:$Q$11,M" + }, + { + "cell": "French Mock Results!V53", + "missing_dep": "French Mock Results!T53", + "formula": "=IF(T53&U53=\"\",\"\",IF(G53=\"F\",IF(T53>$T$5,\"!!!\",ROUND(T53*$V$5/$T$5,0)),IF(U53>$U" + }, + { + "cell": "French Mock Results!W34", + "missing_dep": "French Mock Results!T34", + "formula": 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"rg_00009", + "sheet": "French Mock Results", + "col": "W", + "pattern_id": "pf_0008", + "row_count": 50, + "family_size": 50 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..7174ad67d7dee5842b6ec7c309102f898d15e1a0 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/nl_task.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..d40edfd603f5fc0e96c5143185327e0b9bdd08d0 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_50402b53b584", + "prompt_en": "The French Mock Results sheet is the GCSE French mock results record, with student rows under [Person_1] alongside TG, Tier, SM, and GRADE, and the workbook also includes the AQA GCSE French Boundaries Summer 2018 sheet with boundary labels such as LF, LH, RF, RH, and RM. Please fill in the blank entries in column W on the French Mock Results sheet, specifically W7:W56. Some related blank result or boundary fields in the workbook may need to be in place before the W column entries are meaningful. Once the missing entries are filled in, save the completed file as .xlsx.", + "prompt_cn": "“French Mock Results”工作表是 GCSE 法语模拟考试成绩记录，学生行位于 [Person_1] 下方，并包含 TG、Tier、SM 和 GRADE 等字段；工作簿中还包括 “AQA GCSE French Boundaries Summer 2018” 工作表，里面有 LF、LH、RF、RH、RM 等分数线标签。请填写 “French Mock Results” 工作表 W 列中的空白项，范围是 W7:W56。工作簿里一些相关的成绩或分数线空白字段可能需要先补齐，W 列的内容才会完整有意义。补齐缺失内容后，请将完成的文件保存为 .xlsx 格式。", + "quality_notes": "The prompt is minimal and business-context focused, references only visible sheet names and labels, identifies the target range clearly, mentions dependencies naturally, and avoids formulas or operation hints.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 9, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 6, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 101.7, + "attempt": 3 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/release_qc.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..7dd538c085ab3fa7b5a22a1fe4d8dfacbcd7b605 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "Well-designed chain-masked cross-sheet task: masks are clean, formulas are reconstructible from visible analogous columns and boundary-table structure, with no phantom or extra-masked cells.", + "D1": { + "score": 5, + "reason": "All 106 contract cells are real in-sheet cells and the mask diff shows exactly 106 truly masked cells, no contract misses, and no extra masked cells. The formula-cache losses are explicitly artifact-only. Visible analogous formulas exist in nearby result columns and boundary tables, but they require adapting references and reconstructing the V and Summer S prerequisite chain, so this is not trivially copyable." + }, + "D2": { + "score": 5, + "reason": "The ground-truth W formulas are consistent across W7:W56, deterministic, and match the visible workbook structure: compute the writing grade from V using the appropriate French Summer 2018 foundation/higher boundary tables, wrapped with IFNA/blank handling. Cached sample outputs are plausible and consistent with the formulas and prerequisite values." + }, + "D3": { + "score": 4, + "reason": "The NL clearly names the workbook context and explicitly asks for French Mock Results!W7:W56. It also warns that related blank result or boundary fields may need to be filled first. It is somewhat high-level and does not name the prerequisite cells or describe the exact boundary lookup logic, but it is understandable and not contradictory." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL, the task is hard but reconstructible. The solver can see analogous grade formulas in O/S/Y that use IFNA, INDEX, MATCH, tier branching, and French Summer 2018 boundary tables. The masked W formulas can be inferred by adapting those visible patterns to the writing columns T:W and the French Summer 2018 WF/WH boundary area. The masked V SM values can be inferred from visible headers/max scores and analogous SM formulas, especially the visible R formula and the T5/U5/V5 maximum-score row. The masked French Summer 2018 S6:S11 values can be inferred from the visible R6:R11 raw-mark boundary values, S13=60, R13=50, and the table structure showing converted SM boundaries. The main gap is that some prerequisite formulas are not directly exemplified in the same exact cells, so it requires substantial inference rather than direct copying.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook appears structurally sound: formulas are consistent across student rows, cross-sheet references resolve to existing boundary ranges, headers are meaningful, and no circular references, broken formulas, or corrupted source values are indicated by the provided checks." + }, + "D6": { + "score": 5, + "reason": "The NL sounds like a realistic spreadsheet completion request, avoids benchmark jargon, and naturally describes the workbook and the required output file." + }, + "total": 28, + "verdict": "RELEASE", + "verdict_reason": "High-quality benchmark item with clean masking, valid GT, meaningful cross-sheet dependency reconstruction, and sufficient visible evidence. The task is challenging but solvable as intended.", + "frontier_hardness": { + "score": 4, + "reason": "This is genuinely hard: the model must reconstruct three formula patterns across 106 masked cells, infer prerequisite SM conversions, and connect the French Mock Results sheet to the French Summer 2018 boundary tables. Visible exemplars prevent it from being impossible, but the multi-hop cross-sheet dependency and adapted lookup logic make it likely to challenge even a frontier model.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 224152, + "_timing_load_workbooks": 0.1, + "_timing_context": 0.01, + "_timing_api": 60.64, + "local_difficulty": { + "difficulty_score": 73.9, + "difficulty": "hard", + "depth": 2, + "total_masked": 106, + "is_cross_sheet": true, + "unique_patterns": 3, + "avg_complexity": 20, + "cross_refs": 200, + "visible_exemplar_ratio": 0.057 + }, + "task_id": "cross_sheet__dag_50402b53b584", + "elapsed": 60.8, + "publish_decision": "YES", + "release_tier": "FRONTIER_HARD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/src.xlsx b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..d3a6f12aaa294b055b95300b2efae61c39f71b5e Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/target_contract.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..6230b48649fde509b1bead92971f0a46b783f9dd --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/target_contract.json @@ -0,0 +1,167 @@ +{ + "task_id": "cross_sheet__dag_50402b53b584", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "French Mock Results", + "column": "W", + "column_header": "W", + "cell_range": "W7:W56", + "cell_count": 50, + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56 + ], + "first_row_label": "Pupil 1", + "last_row_label": "Pupil 50" + } + ], + "cell_count": 50, + "formula_families": [ + "aggregation" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "French Mock Results", + "column": "V", + "column_header": "SM", + "cell_range": "V7:V56", + "cell_count": 50, + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 49, + 50, + 51, + 52, + 53, + 54, + 55, + 56 + ], + "first_row_label": "Pupil 1", + "last_row_label": "Pupil 50" + }, + { + "sheet": "French Summer 2018", + "column": "S", + "column_header": "SM", + "cell_range": "S6:S11", + "cell_count": 6, + "rows": [ + 6, + 7, + 8, + 9, + 10, + 11 + ], + "first_row_label": "U", + "last_row_label": "" + } + ], + "cell_count": 56 + } + ], + "total_prerequisite_cells": 56, + "total_masked_cells": 106, + "ratio_total_vs_final": 2.1, + "sheets_involved": [ + "French Mock Results", + "French Summer 2018" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/task_meta.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..1926b58075a4899322e3e8ce6d53fe8f9731f82b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00763/task_meta.json @@ -0,0 +1,46 @@ +{ + "fcb_id": "FCB-00763", + "task_id": "cross_sheet__dag_50402b53b584", + "tier": "T1_FRONTIER", + "category": "cross_sheet", + "depth": 2, + "total_masked": 106, + "is_cross_sheet": true, + "prompt_en": "The French Mock Results sheet is the GCSE French mock results record, with student rows under [Person_1] alongside TG, Tier, SM, and GRADE, and the workbook also includes the AQA GCSE French Boundaries Summer 2018 sheet with boundary labels such as LF, LH, RF, RH, and RM. Please fill in the blank entries in column W on the French Mock Results sheet, specifically W7:W56. Some related blank result or boundary fields in the workbook may need to be in place before the W column entries are meaningful. Once the missing entries are filled in, save the completed file as .xlsx.", + "prompt_cn": "“French Mock Results”工作表是 GCSE 法语模拟考试成绩记录，学生行位于 [Person_1] 下方，并包含 TG、Tier、SM 和 GRADE 等字段；工作簿中还包括 “AQA GCSE French Boundaries Summer 2018” 工作表，里面有 LF、LH、RF、RH、RM 等分数线标签。请填写 “French Mock Results” 工作表 W 列中的空白项，范围是 W7:W56。工作簿里一些相关的成绩或分数线空白字段可能需要先补齐，W 列的内容才会完整有意义。补齐缺失内容后，请将完成的文件保存为 .xlsx 格式。", + "qc": { + "total": 28, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 5, + "frontier_hardness": 4, + "local_difficulty": 73.9 + }, + "source_file_id": "740630d1626431066-using-multiple-if-functions-with-vlookup-aqa-gcse-mock-mfl-results", + "inferred_domain": "education", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "French Mock Results", + "used_range": "A1:AF58", + "row_count": 58, + "col_count": 32, + "has_header": false, + "title_hint": "French Mock Results", + "header_info": null + }, + { + "name": "French Summer 2018", + "used_range": "A1:Z31", + "row_count": 31, + "col_count": 26, + "has_header": false, + "title_hint": "French Summer 2018", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/audit.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..b0ac8c7ae21c2b715d30eeec579e88d693c57629 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/audit.json @@ -0,0 +1,543 @@ +{ + "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 19 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=18199B, src=30656B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=3.0 (total=57, final=19)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "48 unique values across 57 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": false, + "count": 1, + "sheets": [ + "s Fashion" + ] + }, + "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=3, prompt=1, missing=1", + "missing_ranges": [ + "K10:K28" + ], + "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=[\"Men's Fashion\"], 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 19 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": false, + "detail": "referenced=2 mentioned=1 missing=1 [MF Dump]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 3 col groups; CONFLICTS: Men's Fashion!Y6: visible='=L6/S6' vs GT pattern='=AG#/K#'; Men's Fashion!Y7: visible='=L7/S7' vs GT pattern='=AG#/K#'" + }, + { + "check": "nl_gt_operation_consistency", + "pass": false, + "detail": "GT funcs: ['SUM', 'SUMIF']; MISMATCHES: GT uses SUMIF but NL doesn't mention any of: condition, criteria, meet, sum", + "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 57 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": 57, + "total_non_none": 57, + "block_reasons": [], + "warnings": [ + "mixed_gt_types:{'int': 44, 'float': 13}" + ], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "int": 44, + "float": 13 + }, + "mixed": true + }, + "empty_gt": { + "count": 0, + "details": [] + } + } + }, + "src_chain": { + "hard_block": false, + "block_reasons": [], + "checks": { + "error_cells": { + "pass": true, + "count": 0, + "cells": [] + }, + "external_refs": { + "pass": true, + "count": 0, + "cells": [] + }, + "volatile_funcs": { + "pass": true, + "count": 0, + "cells": [] + }, + "missing_sheets": { + "pass": false, + "count": 1, + "sheets": [ + "s Fashion" + ] + }, + "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": 57 + } + }, + "solver_visibility": { + "contract_cells": 57, + "total_masked": 57, + "total_visible": 999, + "depth": 2, + "block_reasons": [ + "broken_chains:29/57=50.9%" + ], + "warnings": [ + "missing_sheets:['s Fashion']" + ], + "checks": { + "broken_chains": { + "count": 29, + "checked": 57, + "details": [ + { + "cell": "Men's Fashion!AG10", + "missing_dep": "s Fashion!A10", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A10,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!AG16", + "missing_dep": "s Fashion!A16", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A16,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!AG19", + "missing_dep": "s Fashion!A19", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A19,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!K10", + "missing_dep": "s Fashion!A10", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A10,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!AG22", + "missing_dep": "s Fashion!A22", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A22,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!K19", + "missing_dep": "s Fashion!A19", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A19,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!K16", + "missing_dep": "s Fashion!A16", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A16,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!K22", + "missing_dep": "s Fashion!A22", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A22,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!K28", + "missing_dep": "Men's Fashion!K9", + "formula": "=K25+K21+K17+K13+K9+K26+K27" + }, + { + "cell": "Men's Fashion!AG12", + "missing_dep": "s Fashion!A12", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A12,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!AG18", + "missing_dep": "s Fashion!A18", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A18,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!AG15", + "missing_dep": "s Fashion!A15", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A15,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!K12", + "missing_dep": "s Fashion!A12", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A12,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!K15", + "missing_dep": "s Fashion!A15", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A15,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!AG24", + "missing_dep": "s Fashion!A24", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A24,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!K18", + "missing_dep": "s Fashion!A18", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A18,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!AG27", + "missing_dep": "s Fashion!A27", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A27,'MF Dump'!P:P)" + }, + { + "cell": "Men's Fashion!K24", + "missing_dep": "s Fashion!A24", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A24,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!K27", + "missing_dep": "s Fashion!A27", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A27,'MF Dump'!J:J)" + }, + { + "cell": "Men's Fashion!AG11", + "missing_dep": "s Fashion!A11", + "formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A11,'MF Dump'!P:P)" + } + ] + }, + "orphan_masks": { + "count": 0, + "details": [] + }, + "self_contained": { + "missing_sheets": [ + "s Fashion" + ] + } + } + }, + "exemplar": { + "soft_block": true, + "block_reasons": [ + "zero_exemplar:2_patterns" + ], + "checks": { + "pattern_coverage": { + "pass": false, + "total_gt_patterns": 7, + "total_src_patterns": 94, + "zero_exemplar_count": 2, + "low_exemplar_count": 0 + }, + "zero_exemplar_patterns": { + "pass": false, + "patterns": [ + { + "pattern": "=SUMIF(B:B,'MEN'REF,J:J)", + "total_in_src": 14, + "sample_formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A10,'MF Dump'!J:J)" + }, + { + "pattern": "=SUMIF(B:B,'MEN'REF,P:P)", + "total_in_src": 14, + "sample_formula": "=SUMIF('MF Dump'!B:B,'Men''s Fashion'!A10,'MF Dump'!P:P)" + } + ] + }, + "low_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "func_coverage": { + "SUMIF": { + "total_masked": 28, + "visible_exemplars": 98 + }, + "arithmetic": { + "total_masked": 21, + "visible_exemplars": 335 + }, + "SUM": { + "total_masked": 8, + "visible_exemplars": 35 + } + } + } + }, + "shortcut": { + "shortcut_risk": 0.0, + "flags": [] + }, + "release_audit": { + "surface_single_sheet": true, + "surface_sheets": [ + "Men's Fashion" + ], + "cross_sheet_actual": true, + "cross_sheet_ref_count": 28, + "referenced_sheets": [ + "s Fashion" + ], + "target_shape": "single_column_series", + "layer_sizes": [ + 19, + 38 + ], + "mask_last_total_cells": 57, + "layer_growth_ratios": [ + 2.0 + ], + "pattern_dominance_ratio": 0.3333, + "visible_clone_regions": 41, + "nearby_visible_clone_regions": 37, + "nearby_visible_clone_rows": 37, + "nearby_visible_clone_ratio": 0.9737, + "promptability_score": 0.52, + "release_reasons": [ + "parallel_block_leakage", + "cross_sheet_metadata_mismatch" + ], + "release_verdict": "REBUILD_REQUIRED" + } + }, + "difficulty": { + "task_id": "cross_sheet__dag_3522524b10a3", + "difficulty_score": 67.3, + "difficulty": "hard", + "depth": 2, + "total_masked": 57, + "is_cross_sheet": true, + "unique_patterns": 8, + "avg_complexity": 4.0, + "cross_refs": 84, + "visible_exemplar_ratio": 0.24, + "score_breakdown": { + "depth": 7, + "cross_sheet": 10, + "cell_count": 11.7, + "patterns": 15, + "complexity": 6.0, + "cross_refs": 10, + "vis_penalty": 7.6 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/ground_truth_full.json 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a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..69be37f05099bb78e04f8dd5032d7a9354d6caf6 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/nl_task.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..e98470b8dbbfb3986a64280f70f61f76eb59426b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_3522524b10a3", + "prompt_en": "The Men's Fashion sheet is laid out as a season-code view for BOP and sales, with visible sections such as OH Units, Sales Units, Delivery, Metrics, Reg OH Units, Mkdn OH Units, and Tot Sales Units. In this sales forecast workbook, the blank entries that need attention are in the Reg column on the Men's Fashion sheet, specifically Y10:Y28. Please fill in those regular sales figures using the surrounding season and metrics information already present in the workbook; the related blank columns need to be in place for the rest of the sheet to read correctly. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "“Men's Fashion”工作表是按季节代码整理的 BOP 和销售视图，表里能看到 OH Units、Sales Units、Delivery、Metrics、Reg OH Units、Mkdn OH Units 和 Tot Sales Units 等栏目。在这个销售预测工作簿里，需要补齐的是 “Men's Fashion” 工作表中 Reg 列的空白项，位置是 Y10:Y28。请根据工作簿中已有的季节和指标信息，把这些常规销售数据填好；相关的空白列补齐后，整张表才能正常呈现。完成后，请将文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt identifies the workbook context, sheet, target column, and range while avoiding formula or method hints. It also mentions the natural dependency between related blank columns without spelling out any step sequence.", + "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": 11.4, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/release_qc.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..59c203eab6d2334497692a0add20e61783fa6ae4 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: mask boundary is clean, GT is consistent, and the masked dependency chain is reconstructible from visible workbook structure.", + "D1": { + "score": 5, + "reason": "All 57 contract cells are real in-sheet cells and all were truly masked. The mask diff shows no unmasked contract cells and no extra removed cells. Visible adjacent formulas provide structural clues but do not make the whole task trivially copyable because the solver must reconstruct masked prerequisites in K and AG before filling Y." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas are deterministic and consistent with the source pattern: Y rows compute regular AUC as REG cost dollars divided by regular sales units, i.e. AG/K. Cached values shown are compatible with those formulas, and the formulas align with surrounding X/Z AUC formulas." + }, + "D3": { + "score": 4, + "reason": "The prompt clearly identifies the target range Y10:Y28 on Men's Fashion and gives useful workbook context. It is somewhat vague about the prerequisite blank columns and does not mention the MF Dump/SUMIF dependency explicitly, but the requested target cells are unambiguous." + }, + "D4": { + "score": 5, + "reason": "Using only mask_last.xlsx and the prompt, the task is reconstructible. The Y column sits between visible X and Z AUC formulas, with headers showing Total/Reg/Mark and cost-dollar columns AF/AG/AH plus sales-unit columns I/K/M, making Y=AG/K inferable. K can be inferred from visible Sales Units structure, adjacent M formulas, I=K+M totals, L ratios, and cross-sheet SUMIF patterns. AG can be inferred from the cost-dollar section using visible AF totals, AH formulas, and adjacent SUMIF patterns. Summary rows have parallel visible SUM/SUMIF structures in neighboring columns. No hidden constants are required.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook appears structurally sound for the relevant task: meaningful headers, coherent cross-sheet formulas, and no mask-chain errors or circular-reference signals. There are some messy legacy spreadsheet artifacts and odd formulas/references in surrounding areas, but they do not appear to corrupt the target chain." + }, + "D6": { + "score": 4, + "reason": "The NL request sounds mostly like a realistic workplace spreadsheet instruction, with natural business context. It is slightly verbose and somewhat generic in phrasing, especially around 'related blank columns,' but not benchmark-jargon-like." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality chain-masked task: clean masking, correct GT, and sufficient visible evidence for reconstructing the dependency chain. Minor NL vagueness and source-sheet messiness do not undermine publishability.", + "frontier_hardness": { + "score": 4, + "reason": "This is hard because it requires reconstructing two masked prerequisite columns across a cross-sheet workbook, recognizing parallel Total/Reg/Mark sections, using adjacent SUMIF/SUM patterns, and then applying the final AG/K relation. It is not trivially copyable, but all evidence is visible.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 55843, + "_timing_load_workbooks": 0.1, + "_timing_context": 0.01, + "_timing_api": 53.48, + "local_difficulty": { + "difficulty_score": 76.3, + "difficulty": "hard", + "depth": 2, + "total_masked": 57, + "is_cross_sheet": true, + "unique_patterns": 8, + "avg_complexity": 14, + "cross_refs": 84, + "visible_exemplar_ratio": 0.24 + }, + "task_id": "cross_sheet__dag_3522524b10a3", + "elapsed": 53.6, + "publish_decision": "YES", + "release_tier": "FRONTIER_HARD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/src.xlsx b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..72ece77e41b01cdb4c378401c212229e03bd3927 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/target_contract.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..468657ec0b742e445ab421b8cdc025e5d50ce729 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/target_contract.json @@ -0,0 +1,117 @@ +{ + "task_id": "cross_sheet__dag_3522524b10a3", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Men's Fashion", + "column": "Y", + "column_header": "Reg", + "cell_range": "Y10:Y28", + "cell_count": 19, + "rows": [ + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28 + ], + "first_row_label": "SUMMER 1 2011", + "last_row_label": "Grand Total" + } + ], + "cell_count": 19, + "formula_families": [ + "arithmetic" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Men's Fashion", + "column": "AG", + "column_header": "REG", + "cell_range": "AG10:AG28", + "cell_count": 19, + "rows": [ + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28 + ], + "first_row_label": "SUMMER 1 2011", + "last_row_label": "Grand Total" + }, + { + "sheet": "Men's Fashion", + "column": "K", + "column_header": "Reg Sales Units", + "cell_range": "K10:K28", + "cell_count": 19, + "rows": [ + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28 + ], + "first_row_label": "SUMMER 1 2011", + "last_row_label": "Grand Total" + } + ], + "cell_count": 38 + } + ], + "total_prerequisite_cells": 38, + "total_masked_cells": 57, + "ratio_total_vs_final": 3.0, + "sheets_involved": [ + "Men's Fashion" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/task_meta.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..8519a6bd8be8027a2f1be8b4f09a81c899bf399f --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00778/task_meta.json @@ -0,0 +1,46 @@ +{ + "fcb_id": "FCB-00778", + "task_id": "cross_sheet__dag_3522524b10a3", + "tier": "T1_FRONTIER", + "category": "cross_sheet", + "depth": 2, + "total_masked": 57, + "is_cross_sheet": true, + "prompt_en": "The Men's Fashion sheet is laid out as a season-code view for BOP and sales, with visible sections such as OH Units, Sales Units, Delivery, Metrics, Reg OH Units, Mkdn OH Units, and Tot Sales Units. In this sales forecast workbook, the blank entries that need attention are in the Reg column on the Men's Fashion sheet, specifically Y10:Y28. Please fill in those regular sales figures using the surrounding season and metrics information already present in the workbook; the related blank columns need to be in place for the rest of the sheet to read correctly. When you’re done, please save the completed file as an .xlsx workbook.", + "prompt_cn": "“Men's Fashion”工作表是按季节代码整理的 BOP 和销售视图，表里能看到 OH Units、Sales Units、Delivery、Metrics、Reg OH Units、Mkdn OH Units 和 Tot Sales Units 等栏目。在这个销售预测工作簿里，需要补齐的是 “Men's Fashion” 工作表中 Reg 列的空白项，位置是 Y10:Y28。请根据工作簿中已有的季节和指标信息，把这些常规销售数据填好；相关的空白列补齐后，整张表才能正常呈现。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": 5, + "D5": 4, + "D6": 4, + "frontier_hardness": 4, + "local_difficulty": 76.3 + }, + "source_file_id": "145154d1331323932-excel-2007-sumif-index-match-formula-bop-inventory-composition", + "inferred_domain": "sales", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Men's Fashion", + "used_range": "A1:AH45", + "row_count": 45, + "col_count": 34, + "has_header": false, + "title_hint": "Men's Fashion", + "header_info": null + }, + { + "name": "MF Dump", + "used_range": "A1:R65", + "row_count": 65, + "col_count": 18, + "has_header": 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a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..ae22432333a5658611e8840a7fb1139e86d0e477 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/nl_task.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..6c9e73d72b0b437f31a4d6d9a543ad30a2f84aa8 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_bdf2b6331315", + "prompt_en": "The Meyer Summary sheet is laid out as a pharmacy survey summary, with visible fields like Survey #'s, Facility ID, Facility Name, RSA, Division, Time Period, and Submitted By, alongside facility/group labels such as MEYER, BEEBER, D&R LEXINGTON, HOME CARE, OCR ASHLAND, and OCR MEMPHIS. Please complete the blank entries in the REGION AVE. column on the Meyer Summary sheet, specifically M21:M40. Some related summary fields in the workbook need to be in place for this column to make sense, so handle those naturally as you work through the report. When you’re done, please save the completed workbook as an .xlsx file.", + "prompt_cn": "“Meyer Summary” 工作表是一份药房调查汇总表，里面能看到 Survey #'s、Facility ID、Facility Name、RSA、Division、Time Period、Submitted By 等字段，也有 MEYER、BEEBER、D&R LEXINGTON、HOME CARE、OCR ASHLAND、OCR MEMPHIS 等机构或分组标签。请补全 “Meyer Summary” 工作表中 REGION AVE. 列的空白项，位置是 M21:M40。工作簿里有些相关的汇总字段需要先整理到位，这样这一列内容才完整，所以请在处理报表时一并注意。完成后，请将补好的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the relevant sheet, visible business context, target column, and exact range without giving calculation or formula hints. It mentions related summary fields only generally, as requested, and ends with the required .xlsx saving 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": 14.5, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/src.xlsx b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..75fc13eaea6e08c635a2b46c9207926af6ffb473 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/task_meta.json b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..2d6533f6bc4ccba3e2dcbb9732334e61929a326d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T1_FRONTIER/internal/FCB-00784/task_meta.json @@ -0,0 +1,92 @@ +{ + "fcb_id": "FCB-00784", + "task_id": "cross_sheet__dag_bdf2b6331315", + "tier": "T1_FRONTIER", + "category": "cross_sheet", + "depth": 2, + "total_masked": 240, + "is_cross_sheet": true, + "prompt_en": "The Meyer Summary sheet is laid out as a pharmacy survey summary, with visible fields like Survey #'s, Facility ID, Facility Name, RSA, Division, Time Period, and Submitted By, alongside facility/group labels such as MEYER, BEEBER, D&R LEXINGTON, HOME CARE, OCR ASHLAND, and OCR MEMPHIS. Please complete the blank entries in the REGION AVE. column on the Meyer Summary sheet, specifically M21:M40. Some related summary fields in the workbook need to be in place for this column to make sense, so handle those naturally as you work through the report. When you’re done, please save the completed workbook as an .xlsx file.", + "prompt_cn": "“Meyer Summary” 工作表是一份药房调查汇总表，里面能看到 Survey #'s、Facility ID、Facility Name、RSA、Division、Time Period、Submitted By 等字段，也有 MEYER、BEEBER、D&R LEXINGTON、HOME CARE、OCR ASHLAND、OCR MEMPHIS 等机构或分组标签。请补全 “Meyer Summary” 工作表中 REGION AVE. 列的空白项，位置是 M21:M40。工作簿里有些相关的汇总字段需要先整理到位，这样这一列内容才完整，所以请在处理报表时一并注意。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": 4, + "local_difficulty": 74.0 + }, + "source_file_id": "133229d1324300746-data-referencing-across-tabs-survey-input-example-forum-version-2", + "inferred_domain": "data_analysis", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "Inman Summary", + "used_range": "A1:S50", + "row_count": 50, + "col_count": 19, + "has_header": false, + "title_hint": "Inman Summary", + "header_info": null + }, + { + "name": "Data", + "used_range": "A1:AF124", + "row_count": 124, + "col_count": 32, + "has_header": true, + "title_hint": "Data", + "header_info": { + "sheet": "Data", + "header_row": 1, + "headers": { + "A": "Facility ID", + "B": "Facility Name", + "C": "Pharmacy", + "D": "RSA", + "E": "Division", + "F": "[Person_1]", + "G": "Time Period", + "H": "Submitted By", + "I": "Type", + "J": "Average Score", + "K": "Ease of ordering (e.g. fax, phone) process", + "L": "Medication accuracy (i.e. Right Drug/Right Patient", + "M": "Routine scheduled deliveries are on time", + "N": "Stats are delivered within an appropriate timefram", + "O": "Medical Records are accurate", + "P": "Medical Records are received by the agreed upon da", + "Q": "Pharmacy billing statements are accurate", + "R": "Overall rating of the pharmacy's ability to meet y", + "S": "Expertise of infusion (IV) services personnel", + "T": "Expertise of consultant pharmacist", + "U": "Expertise of other pharmacy services (ie: nursing,", + "V": "Staff education", + "W": "Drug information provided by Pharmacists is useful", + "X": "Assistance in resolving facility or patient concer", + "Y": "Timely response to facility or patient concerns", + "Z": "Understanding of facility or patient concerns", + "AA": "Courtesy of pharmacy staff", + "AB": "Clear explanation and timely communication about m", + "AC": "Overall rating of the pharmacy's ability to meet y", + "AD": "Compared to Last Year Service is", + "AE": "Recommend OCR", + "AF": "Comments in Survey" + } + } + }, + { + "name": "Meyer Summary", + "used_range": "A1:M44", + "row_count": 44, + "col_count": 13, + "has_header": false, + "title_hint": "Meyer Summary", + "header_info": null + } + ] +} \ No newline at end of file