diff --git a/.gitattributes b/.gitattributes index 4f1b7e8c42bbef6585a003eaae8483a47c7f007a..5b6d949b351acd57c1095cab8e7e528d5411c851 100644 --- a/.gitattributes +++ b/.gitattributes @@ -225,3 +225,9 @@ FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08037/src.xlsx filter FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08037/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08213/src.xlsx filter=lfs diff=lfs merge=lfs -text FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08213/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text +FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/src.xlsx filter=lfs diff=lfs merge=lfs -text +FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text +FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/src.xlsx filter=lfs diff=lfs merge=lfs -text +FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text +FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/src.xlsx filter=lfs diff=lfs merge=lfs -text +FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/mask_last.xlsx filter=lfs diff=lfs merge=lfs -text diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/audit.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..09f62a57b642bc4eafa644722f8b4d6fc51528df --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/audit.json @@ -0,0 +1,448 @@ +{ + "gate": { + "pre_nl_gate": { + "gate_label": "GATE_PASS", + "gate_pass": true, + "hard_fails": 0, + "warns": 0, + "checks": [ + { + "check": "final_target_gate", + "pass": true, + "detail": "final_target has 6 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=7202B, src=11810B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=2.0 (total=12, final=6)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "4 unique values across 12 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": true, + "detail": "contract=2, prompt=1, missing=0", + "missing_ranges": [], + "severity": "OK" + }, + { + "check": "cell_count_match", + "pass": true, + "detail": "no explicit total found; skipping (natural format)", + "severity": "OK" + }, + { + "check": "step_count_match", + "pass": true, + "detail": "contract=1, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": false, + "detail": "contract=['Data', 'Points Table'], missing=['Data']", + "severity": "INFO" + }, + { + "check": "no_formula_leak", + "pass": true, + "detail": "0 formula leaks", + "severity": "OK" + }, + { + "check": "no_value_leak", + "pass": true, + "detail": "0 value leaks out of 6 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": false, + "detail": "referenced=1 mentioned=0 missing=1 [Data]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 2 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['SUM']", + "severity": "OK" + }, + { + "check": "unmatched_default_rule", + "pass": true, + "detail": "no default-rule phrase found in NL", + "severity": "OK" + }, + { + "check": "volatile_function_freeze", + "pass": true, + "detail": "volatile_cells=0", + "severity": "OK" + }, + { + "check": "direct_answer_leakage", + "pass": true, + "detail": "0 leaks out of 12 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": 12, + "total_non_none": 12, + "block_reasons": [], + "warnings": [], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "int": 12 + }, + "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": 12 + } + }, + "solver_visibility": { + "contract_cells": 12, + "total_masked": 12, + "total_visible": 44, + "depth": 2, + "block_reasons": [ + "broken_chains:6/12=50.0%" + ], + "warnings": [], + "checks": { + "broken_chains": { + "count": 6, + "checked": 12, + "details": [ + { + "cell": "Data!K6", + "missing_dep": "Data!F6", + "formula": "=SUM(B6,D6,F6,H6)" + }, + { + "cell": "Data!K5", + "missing_dep": "Data!F5", + "formula": "=SUM(B5,D5,F5,H5)" + }, + { + "cell": "Data!K7", + "missing_dep": "Data!F7", + "formula": "=SUM(B7,D7,F7,H7)" + }, + { + "cell": "Data!K8", + "missing_dep": "Data!F8", + "formula": "=SUM(B8,D8,F8,H8)" + }, + { + "cell": "Data!K3", + "missing_dep": "Data!F3", + "formula": "=SUM(B3,D3,F3,H3)" + }, + { + "cell": "Data!K4", + "missing_dep": "Data!F4", + "formula": "=SUM(B4,D4,F4,H4)" + } + ] + }, + "orphan_masks": { + "count": 0, + "details": [] + }, + "self_contained": { + "missing_sheets": [] + } + } + }, + "exemplar": { + "soft_block": true, + "block_reasons": [ + "zero_exemplar:1_patterns" + ], + "checks": { + "pattern_coverage": { + "pass": false, + "total_gt_patterns": 2, + "total_src_patterns": 3, + "zero_exemplar_count": 1, + "low_exemplar_count": 0 + }, + "zero_exemplar_patterns": { + "pass": false, + "patterns": [ + { + "pattern": "=SUM(REF,REF,REF,REF)", + "total_in_src": 6, + "sample_formula": "=SUM(B3,D3,F3,H3)" + } + ] + }, + "low_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "func_coverage": { + "SUM": { + "total_masked": 6, + "visible_exemplars": 0 + }, + "reference": { + "total_masked": 6, + "visible_exemplars": 12 + } + } + } + }, + "shortcut": { + "shortcut_risk": 0.0, + "flags": [] + }, + "release_audit": { + "surface_single_sheet": false, + "surface_sheets": [ + "Data", + "Points Table" + ], + "cross_sheet_actual": true, + "cross_sheet_ref_count": 6, + "referenced_sheets": [ + "Data" + ], + "target_shape": "summary_block", + "layer_sizes": [ + 6, + 6 + ], + "mask_last_total_cells": 12, + "layer_growth_ratios": [ + 1.0 + ], + "pattern_dominance_ratio": 0.5, + "visible_clone_regions": 0, + "nearby_visible_clone_regions": 0, + "nearby_visible_clone_rows": 0, + "nearby_visible_clone_ratio": 0.0, + "promptability_score": 1.0, + "release_reasons": [], + "release_verdict": "KEEP" + } + }, + "difficulty": { + "task_id": "cross_sheet__dag_aaf1b0ccb29b", + "difficulty_score": 53.7, + "difficulty": "medium", + "depth": 2, + "total_masked": 12, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 6.0, + "cross_refs": 6, + "visible_exemplar_ratio": 0.143, + "score_breakdown": { + "depth": 7, + "cross_sheet": 10, + "cell_count": 7.2, + "patterns": 6, + "complexity": 9.0, + "cross_refs": 6, + "vis_penalty": 8.6 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_full.json new file mode 100644 index 0000000000000000000000000000000000000000..d1d9e8059cec2e80358a87ca9d6c6c3a241ccb13 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_full.json @@ -0,0 +1,110 @@ +[ + { + "sheet": "Points Table", + "col": "E", + "row": 5, + "formula": "=Data!K3", + "cached_value": 150, + "pattern_id": "pf_0003", + "layer": 1 + }, + { + "sheet": "Points Table", + "col": "E", + "row": 6, + "formula": "=Data!K4", + "cached_value": 150, + "pattern_id": "pf_0003", + "layer": 1 + }, + { + "sheet": "Points Table", + "col": "E", + "row": 7, + "formula": "=Data!K5", + "cached_value": 140, + "pattern_id": "pf_0003", + "layer": 1 + }, + { + "sheet": "Points Table", + "col": "E", + "row": 8, + "formula": "=Data!K6", + "cached_value": 140, + "pattern_id": "pf_0003", + "layer": 1 + }, + { + "sheet": "Points Table", + "col": "E", + "row": 9, + "formula": "=Data!K7", + "cached_value": 130, + "pattern_id": "pf_0003", + "layer": 1 + }, + { + "sheet": "Points Table", + "col": "E", + "row": 10, + "formula": "=Data!K8", + "cached_value": 90, + "pattern_id": "pf_0003", + "layer": 1 + }, + { + "sheet": "Data", + "col": "K", + "row": 3, + "formula": "=SUM(B3,D3,F3,H3)", + "cached_value": 150, + "pattern_id": "pf_0000", + "layer": 2 + }, + { + "sheet": "Data", + "col": "K", + "row": 4, + "formula": "=SUM(B4,D4,F4,H4)", + "cached_value": 150, + "pattern_id": "pf_0000", + "layer": 2 + }, + { + "sheet": "Data", + "col": "K", + "row": 5, + "formula": "=SUM(B5,D5,F5,H5)", + "cached_value": 140, + "pattern_id": "pf_0000", + "layer": 2 + }, + { + "sheet": "Data", + "col": "K", + "row": 6, + "formula": "=SUM(B6,D6,F6,H6)", + "cached_value": 140, + "pattern_id": "pf_0000", + "layer": 2 + }, + { + "sheet": "Data", + "col": "K", + "row": 7, + "formula": "=SUM(B7,D7,F7,H7)", + "cached_value": 130, + "pattern_id": "pf_0000", + "layer": 2 + }, + { + "sheet": "Data", + "col": "K", + "row": 8, + "formula": "=SUM(B8,D8,F8,H8)", + "cached_value": 90, + "pattern_id": "pf_0000", + "layer": 2 + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_target.json new file mode 100644 index 0000000000000000000000000000000000000000..ef4560d90e947c8f683c71926e111595bf603f6d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_target.json @@ -0,0 +1,50 @@ +[ + { + "sheet": "Points Table", + "col": "E", + "row": 5, + "formula": "=Data!K3", + "cached_value": 150, + "pattern_id": "pf_0003" + }, + { + "sheet": "Points Table", + "col": "E", + "row": 6, + "formula": "=Data!K4", + "cached_value": 150, + "pattern_id": "pf_0003" + }, + { + "sheet": "Points Table", + "col": "E", + "row": 7, + "formula": "=Data!K5", + "cached_value": 140, + "pattern_id": "pf_0003" + }, + { + "sheet": "Points Table", + "col": "E", + "row": 8, + "formula": "=Data!K6", + "cached_value": 140, + "pattern_id": "pf_0003" + }, + { + "sheet": "Points Table", + "col": "E", + "row": 9, + "formula": "=Data!K7", + "cached_value": 130, + "pattern_id": "pf_0003" + }, + { + "sheet": "Points Table", + "col": "E", + "row": 10, + "formula": "=Data!K8", + "cached_value": 90, + "pattern_id": "pf_0003" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/nl_task.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..0d963071e699c88f8b9e51867d3d2e6edc44d2f9 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_aaf1b0ccb29b", + "prompt_en": "The Points Table sheet is set up to track people’s Points Total alongside names like Wayne and Fred, with other visible fields in the workbook such as Name, Points, Place, Total, and Weeks Played. Please complete the blank entries in the Points Total column on the Points Table sheet, specifically E5:E10. Some of the other blank columns in the workbook support the Points Table, so the related player and points information needs to be in place before the Points Total entries are complete. Save the completed workbook as an .xlsx file.", + "prompt_cn": "“Points Table”工作表用于记录各个人员的“Points Total”，表中还能看到 Wayne、Fred 等姓名，工作簿里也有 Name、Points、Place、Total、Weeks Played 等字段。请补全“Points Table”工作表中“Points Total”列的空白项，具体是 E5:E10。工作簿中其他一些空白列会支撑“Points Table”的内容，因此相关的人员和积分信息需要先补齐，Points Total 才算完整。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the relevant sheet, column, and range, frames the workbook using only visible labels, mentions the natural prerequisite relationship without giving operational hints, and avoids formulas or masked-answer values.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 72.4, + "attempt": 3 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/release_qc.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..837c5fbca11bc6bf7c232807333529c6c6074eaa --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "Well-designed overall: clean chain mask, valid cross-sheet dependency, and enough visible structure to reconstruct the target formulas.", + "D1": { + "score": 5, + "reason": "All masked cells are real in-range cells, the contract cells are fully masked, and there is no extra masking outside the contract. The preserved formula/cache-loss entries are openpyxl artifacts, not additional masking. Visible formulas in Points Table B and H provide structural clues but do not make the full task trivially copyable because Data!K totals still need to be reconstructed." + }, + "D2": { + "score": 5, + "reason": "The final target formulas correctly reference the corresponding Data!K total cells row-by-row, and the cached values are consistent with the intended Data totals. The formulas are deterministic and unambiguous." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the final cells to fill, Points Table!E5:E10, and explains that supporting blank columns elsewhere need to be completed. It is slightly vague because it does not explicitly name the Data sheet or describe the exact Total calculation, but the requested output range is unambiguous." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL prompt, the task appears solvable. The Points Table has visible formulas in the Name and Weeks Played columns mapping rows to Data!A and Data!L, which gives a strong clue that Points Total should map to Data!K. Data!K is visibly headed Total, and nearby headers show repeated Place/Points structure plus Weeks Played formulas, supporting the inference that Total aggregates the visible Points columns. There is no direct visible exemplar for Data!K, so one minor inferential gap remains, but the root evidence is largely present.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook appears structurally sound: no evidence of broken formulas, circular references, corrupted values, or phantom ranges. Headers are somewhat sparse and repetitive, but they are meaningful enough for the dataset’s purpose." + }, + "D6": { + "score": 4, + "reason": "The NL sounds reasonably like a workplace request and avoids explicit benchmark jargon. It is a bit verbose and slightly artificial in phrasing such as specifying the exact range and mentioning workbook fields generically, but it remains natural enough." + }, + "total": 26, + "verdict": "RELEASE", + "verdict_reason": "High-quality task with clean masking, correct ground truth, and sufficient visible evidence for a solver to reconstruct the cross-sheet dependency chain. Minor vagueness in the NL and lack of a direct Data!K exemplar do not prevent solvability.", + "frontier_hardness": { + "score": 2, + "reason": "This is a short depth-2 cross-sheet chain with two simple formula patterns. A frontier model should likely infer that Points Table totals reference Data totals and that Data totals aggregate the Points columns. It requires some reasoning but is not especially difficult.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 11831, + "_timing_load_workbooks": 0.07, + "_timing_context": 0.0, + "_timing_api": 23.8, + "local_difficulty": { + "difficulty_score": 53.7, + "difficulty": "medium", + "depth": 2, + "total_masked": 12, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 6, + "cross_refs": 6, + "visible_exemplar_ratio": 0.143 + }, + "task_id": "cross_sheet__dag_aaf1b0ccb29b", + "elapsed": 23.9, + "publish_decision": "YES", + "release_tier": "SILVER", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/target_contract.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..7c9dadb76dfe43e008bc05fc014021d99885894b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/target_contract.json @@ -0,0 +1,60 @@ +{ + "task_id": "cross_sheet__dag_aaf1b0ccb29b", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Points Table", + "column": "E", + "column_header": "Points Total", + "cell_range": "E5:E10", + "cell_count": 6, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10 + ], + "first_row_label": "[Person_1]", + "last_row_label": "Fred" + } + ], + "cell_count": 6, + "formula_families": [] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Data", + "column": "K", + "column_header": "Total", + "cell_range": "K3:K8", + "cell_count": 6, + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8 + ], + "first_row_label": "[Person_1]", + "last_row_label": "Fred" + } + ], + "cell_count": 6 + } + ], + "total_prerequisite_cells": 6, + "total_masked_cells": 12, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "Data", + "Points Table" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/audit.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..5ff171b82e9a8e830b5c811b08bc71fb9fb0cb21 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/audit.json @@ -0,0 +1,416 @@ +{ + "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 507 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=536661B, src=796101B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + 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Unfudged'!$A$2:$A$498, 'Tax Bill Summary'!$A21, 'GE16FEB14 Tax Bill Unfudged'!F$2:F$498)" + }, + { + "region_ids": [ + "rg_00216" + ], + "sheet": "Tax Bill Summary", + "col": "V", + "rows": [ + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19 + ], + "row_ranges": "11-19", + "row_count": 9, + "pattern_id": "pf_0013", + "normalized_pattern": "=SUMIF([$D,$21]:[$D,$517],[$D,R],[C,$21]:[C,$517])", + "sample_formula": "=SUMIF($D$21:$D$517,$D11,V$21:V$517)" + }, + { + "region_ids": [ + "rg_00265" + ], + "sheet": "Tax Bill Summary", + "col": "V", + "rows": [ + 9 + ], + "row_ranges": "9", + "row_count": 1, + "pattern_id": "pf_0014", + "normalized_pattern": "=SUM([C,R+12]:[C,R+508])", + "sample_formula": "=SUM(V21:V517)" + } + ], + "new_eval_cells": 1014, + "total_masked_cells": 1521 + } + ], + "sink": { + "region_id": "rg_00048", + "sheet": "Tax Bill Summary", + "col": "AK", + "pattern_id": "pf_0001", + "row_count": 1, + "family_size": 507 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..90647fbd012d31c88d9abd1d88d3c0bbae634678 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/mask_last.xlsx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ee8f57aca472e913e0e2bc30af1267b27ba995b83320939cf51b0d12fa77eea +size 536661 diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/nl_task.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..34cec91ab28144808faf412066c3aa6e7308b22c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_bb21b1f1dcf8", + "prompt_en": "On the Tax Bill Summary sheet, the FY 2016 tax bill view is organized by Location entries such as MPLS & ST PAUL, OTHER METRO, INNER, OUTER, and the NONMET categories, alongside revenue-related fields from the FY16 Feb Forecast and the 2014Tax Bill Changes section. For the fiscal year close-out review, please fill in the blank entries in the Equity column on Tax Bill Summary: AK9, AK11:AK19, and AK21:AK517. The workbook also includes related forecast material, so any supporting blank fields that the Equity entries rely on should be in place before the Equity column is finalized. Save the completed workbook as an .xlsx file.", + "prompt_cn": "在“Tax Bill Summary”工作表中，这份 FY 2016 税单视图按 Location 条目整理，包括 MPLS & ST PAUL、OTHER METRO、INNER、OUTER 以及各类 NONMET 分类，并包含来自 “FY16 Feb Forecast” 和 “2014Tax Bill Changes” 部分的 Revenue 相关字段。为了 fiscal year close-out review，请填写“Tax Bill Summary”工作表中 Equity 列的空白项：AK9、AK11:AK19 和 AK21:AK517。工作簿里还包含相关的 forecast 内容，因此在最终完成 Equity 列之前，凡是这些 Equity 条目需要依赖的其他空白字段也应先补齐。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt is minimal and business-context focused, names the exact target sheet, column, and ranges, and avoids formulas or operational hints. It mentions the natural cross-sheet dependency without describing any method.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 9, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 9, + "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": 12.0, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/release_qc.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..2662915aad04cbb9e5d489b9c75f4ce0f31e2e8a --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/release_qc.json @@ -0,0 +1,44 @@ +{ + "binary": true, + "binary_reason": "CORRECT — mask contract is clean, GT pattern is consistent, and the dependency chain is reconstructible from visible structure plus workbook data.", + "D1": { + "score": 5, + "reason": "All 1521 contract cells are real in-range cells on Tax Bill Summary, exactly all are truly masked, and there is no extra masking outside contract. No phantom references appear in the masked coordinates. Visible neighboring formulas give structural clues, but not trivial copyability: AK depends on masked G/V, and G/V themselves require cross-sheet reconstruction, so zero-reason copying is not possible." + }, + "D2": { + "score": 5, + "reason": "GT formulas for the final targets are internally consistent and match the visible src pattern: AK is uniformly V-G. Sample cached values are plausible against that rule, and no contradictory or non-deterministic formula behavior is indicated." + }, + "D3": { + "score": 3, + "reason": "The NL clearly names the target sheet, column, and exact cells to fill, but it does not explicitly mention that Equity is computed as a difference between two other masked Equity columns, nor does it name the supporting sheets actually needed. Usable but under-informative." + }, + "D4": { + "score": 4, + "reason": "Judging only from mask_last.xlsx + NL: root evidence is mostly present. The solver can see AK sits between analogous visible columns AJ and AL with formulas U-F and W-H, strongly suggesting AK should be V-G. For layer-2 columns, top rows show aggregation patterns (SUM, SUMIF) across rows 21:517, and row-level visible formulas in adjacent columns show that G/V are cross-sheet SUMIF pulls from the Unfudged sheets into the Equity measure position. The referenced source sheets and their headers are visible, and row-level data/keys are present. The main gap is that the NL does not mention the two source sheets, so the solver must infer them from workbook structure and adjacent formulas; still, the chain is reconstructible with effort.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "Source workbook appears sound: no chain errors, no extra masking issues, no sign of circularity or broken formulas, and the supporting sheets have coherent headers and aligned data structures. Cross-sheet references are numerous but consistent." + }, + "D6": { + "score": 4, + "reason": "The request sounds mostly like a real spreadsheet completion task, with fiscal-year and review context. It is a bit generic and slightly stitched together, but not overtly benchmark-like." + }, + "total": 26, + "verdict": "RELEASE", + "verdict_reason": "High-quality task: clean masking, correct GT, solid source workbook, and solvable from visible structural evidence despite substantial difficulty. NL could be more explicit, but not enough to block release.", + "frontier_hardness": { + "score": 4, + "reason": "This is hard for a frontier model because it requires reconstructing a 2-layer chain over 1500 masked cells, with multi-hop reasoning from final AK to masked V/G and then to two cross-sheet SUMIF pull patterns plus top-level rollups. The evidence is present, so difficulty is genuine rather than defective, but the solver must integrate multiple formula families and sheet relationships simultaneously.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "task_id": "cross_sheet__dag_bb21b1f1dcf8", + "elapsed": 28.9, + "prompt_chars": 878884, + "publish_decision": "YES", + "release_tier": "SILVER", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/src.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..a3be2fc2ab5ad1670f848bbe5e9722c0e9a2cea3 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/src.xlsx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28741c012d9c25ecc9cd9e5734aa24c63b860d8ebb65d58da8de4234f344d45c +size 796101 diff --git 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a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/task_meta.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..00ed38d4d786d4c292655b8399202ed853fe54d7 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/task_meta.json @@ -0,0 +1,162 @@ +{ + "fcb_id": "FCB-08269", + "task_id": "cross_sheet__dag_bb21b1f1dcf8", + "tier": "T4_STANDARD", + "category": "cross_sheet", + "depth": 2, + "total_masked": 1521, + "is_cross_sheet": true, + "prompt_en": "On the Tax Bill Summary sheet, the FY 2016 tax bill view is organized by Location entries such as MPLS & ST PAUL, OTHER METRO, INNER, OUTER, and the NONMET categories, alongside revenue-related fields from the FY16 Feb Forecast and the 2014Tax Bill Changes section. For the fiscal year close-out review, please fill in the blank entries in the Equity column on Tax Bill Summary: AK9, AK11:AK19, and AK21:AK517. The workbook also includes related forecast material, so any supporting blank fields that the Equity entries rely on should be in place before the Equity column is finalized. Save the completed workbook as an .xlsx file.", + "prompt_cn": "在“Tax Bill Summary”工作表中，这份 FY 2016 税单视图按 Location 条目整理，包括 MPLS & ST PAUL、OTHER METRO、INNER、OUTER 以及各类 NONMET 分类，并包含来自 “FY16 Feb Forecast” 和 “2014Tax Bill Changes” 部分的 Revenue 相关字段。为了 fiscal year close-out review，请填写“Tax Bill Summary”工作表中 Equity 列的空白项：AK9、AK11:AK19 和 AK21:AK517。工作簿里还包含相关的 forecast 内容，因此在最终完成 Equity 列之前，凡是这些 Equity 条目需要依赖的其他空白字段也应先补齐。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 26, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 3, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 4, + "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": 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"U": "Column left blank intentionally", + "V": "Column left blank intentionally", + "W": "Column left blank intentionally" + } + } + }, + { + "name": "FY16 Change", + "used_range": "A1:W515", + "row_count": 515, + "col_count": 23, + "has_header": false, + "title_hint": "FY16 Change", + "header_info": null + }, + { + "name": "Tax Bill Summary", + "used_range": "A1:AX517", + "row_count": 517, + "col_count": 50, + "has_header": false, + "title_hint": "Tax Bill Summary", + "header_info": null + }, + { + "name": "GE16FEB14 Unfudged", + "used_range": "A1:J502", + "row_count": 502, + "col_count": 10, + "has_header": true, + "title_hint": "GE16FEB14 Unfudged", + "header_info": { + "sheet": "GE16FEB14 Unfudged", + "header_row": 1, + "headers": { + "A": "DIST", + "B": "TYPE", + "C": "NAME", + "D": "AADM16N", + "E": "EQREV16N", + "F": "EQLVY16N", + "G": "LOCREV16N", + "H": "LOCLVY16N", + "I": "REFREV16N", + "J": "RFLVYN16N" + } + } + }, + { + "name": "GE16FEB14 Tax Bill Unfudged", + "used_range": "A1:J502", + "row_count": 502, + "col_count": 10, + "has_header": true, + "title_hint": "GE16FEB14 Tax Bill Unfudged", + "header_info": { + "sheet": "GE16FEB14 Tax Bill Unfudged", + "header_row": 1, + "headers": { + "A": "DIST", + "B": "TYPE", + "C": "NAME", + "D": "AADM16N", + "E": "EQREV16N", + "F": "EQLVY16N", + "G": "LOCREV16N", + "H": "LOCLVY16N", + "I": "REFREV16N", + "J": "RFLVYN16N" + } + } + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/audit.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..1d5d76401223e7deb7b15bc6c6e16c8b4efbbb27 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/audit.json @@ -0,0 +1,411 @@ +{ + "gate": { + "pre_nl_gate": { + "gate_label": "GATE_PASS", + "gate_pass": true, + "hard_fails": 0, + "warns": 0, + "checks": [ + { + "check": "final_target_gate", + 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0000000000000000000000000000000000000000..33dca6b9e8e398a5f90a64136b490f5c126fcf77 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/nl_task.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..7c5a69997e00e255f6db90576d83e5d7b1cd5240 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_c0b653783433", + "prompt_en": "The Power West Price Off-Peak sheet is part of an engineering price compilation with labels such as MID-COLUMBIA, COB, NP15, Cal-00, Cal-01, Cal-02, and the quarterly headings Q1-01 through Q4-01. In that sheet, please fill in the blank entries in the Q1 column, located in N16:N22. Some related blank period fields elsewhere in the workbook feed into this section, so those entries need to be in place before the Q1 column is meaningful. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "“Power West Price Off-Peak”工作表是一个工程价格数据整理表的一部分，里面能看到 MID-COLUMBIA、COB、NP15、Cal-00、Cal-01、Cal-02，以及 Q1-01 到 Q4-01 等季度标题。请在这个工作表中补全 Q1 列里的空白项，位置是 N16:N22。工作簿其他位置的一些相关期间字段会影响这里的内容，因此这些条目需要先保持完整，Q1 列才有意义。请将补全后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the relevant sheet, column, and range, frames the workbook as an engineering technical data compilation using only visible labels, and mentions the natural cross-sheet dependency without giving operational hints or formulas.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 7, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 7, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 23.0, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/release_qc.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..1641ddb2e0cd3d713bc1967e273c852352aa91cc --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/release_qc.json @@ -0,0 +1,57 @@ +{ + "binary": true, + "binary_reason": "Well-designed: clean chain mask, real cells, correct target/prerequisite structure, and visible evidence is sufficient to reconstruct both formula patterns.", + "D1": { + "score": 5, + "reason": "All 14 contract cells are truly masked, no contract cells were missed, and there is no extra masking outside the contract. The cells are within the actual sheet range. Although adjacent formulas provide strong exemplars, the overall task is not zero-reasoning copy/paste because the prerequisite N4:N10 formulas require inferring the Q1 cross-sheet P2 ranges from neighboring quarterly patterns." + }, + "D2": { + "score": 5, + "reason": "The layer-1 ground-truth formulas follow the visible row/column subtraction pattern exactly: N16:N22 subtract N27:N33 from N4:N10 respectively. The cached values are consistent with those formulas, and the formulas are deterministic with no volatile or ambiguous logic." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the sheet, the Q1 column, and the final target range N16:N22. It also hints that related blank fields feed the result. Minor weakness: it does not explicitly name the prerequisite range N4:N10 or the P2 cross-sheet source, so the solver must discover that structure from the workbook." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the prompt, the task is reconstructible. The final target formulas are strongly indicated by adjacent row formulas such as O16=O4-O27, P16=P4-P27, etc., implying N16=N4-N27 and the analogous rows. The prerequisite formulas N4:N10 are also inferable from surrounding H:M and O:Q formulas: N is the Q1 column, and adjacent Q2/Q3/Q4 formulas expose the repeating P2 quarterly range structure. The main gap is that the exact long P2 range list for Q1 must be inferred by pattern from neighboring columns rather than directly shown, but the evidence is present.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook appears broadly sound for the audited task: formulas are consistent, sheet dimensions are valid, and the relevant headers/sections are coherent. Minor data-quality concern: the overview shows #REF! headers on unrelated Tim sheets, suggesting some workbook-level broken references or artifacts, though they do not affect this dependency chain." + }, + "D6": { + "score": 4, + "reason": "The NL sounds mostly like a realistic workplace request and avoids benchmark jargon. It is slightly verbose and generic, especially the long label list and the vague phrase about related blank period fields, but remains natural enough." + }, + "total": 26, + "verdict": "RELEASE", + "verdict_reason": "High-quality task with clean masking, correct GT, and sufficient visible structural evidence. Minor issues are limited to NL specificity and unrelated workbook #REF! artifacts.", + "frontier_hardness": { + "score": 3, + "reason": "Medium difficulty. A frontier model must reconstruct a two-step dependency chain and infer a long cross-sheet Q1 averaging formula from adjacent quarterly P2-reference patterns before applying the final subtraction formulas. However, there are only two formula patterns and strong local exemplars, so a strong model should often succeed with careful reasoning.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 39047, + "local_difficulty": { + "difficulty_score": 59.7, + "difficulty": "medium", + "depth": 2, + "total_masked": 14, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 35, + "cross_refs": 77, + "visible_exemplar_ratio": 0.588 + }, + "_timing_context": 122.0, + "_timing_api": 28.9, + "task_id": "cross_sheet__dag_c0b653783433", + "elapsed": 150.8, + "publish_decision": "YES", + "release_tier": "SILVER", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/src.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..b0692e3a15e7f0f9e36fef54138c8fc5432dbf74 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/target_contract.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..fec77db1f09e7f0a094821c3f3a1b818e007a5d5 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/target_contract.json @@ -0,0 +1,63 @@ +{ + "task_id": "cross_sheet__dag_c0b653783433", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Power West Price Off-Peak", + "column": "N", + "column_header": "Q1", + "cell_range": "N16:N22", + "cell_count": 7, + "rows": [ + 16, + 17, + 18, + 19, + 20, + 21, + 22 + ], + "first_row_label": "MID-COLUMBIA", + "last_row_label": "ROCKIES" + } + ], + "cell_count": 7, + "formula_families": [ + "arithmetic" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Power West Price Off-Peak", + "column": "N", + "column_header": "Q1", + "cell_range": "N4:N10", + "cell_count": 7, + "rows": [ + 4, + 5, + 6, + 7, + 8, + 9, + 10 + ], + "first_row_label": "MID-COLUMBIA", + "last_row_label": "ROCKIES" + } + ], + "cell_count": 7 + } + ], + "total_prerequisite_cells": 7, + "total_masked_cells": 14, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "Power West Price Off-Peak" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/task_meta.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..85c0b98ea79f223c31486e0dd44ba979ec06725d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/task_meta.json @@ -0,0 +1,73 @@ +{ + "fcb_id": "FCB-08277", + "task_id": "cross_sheet__dag_c0b653783433", + "tier": "T4_STANDARD", + "category": "cross_sheet", + "depth": 2, + "total_masked": 14, + "is_cross_sheet": true, + "prompt_en": "The Power West Price Off-Peak sheet is part of an engineering price compilation with labels such as MID-COLUMBIA, COB, NP15, Cal-00, Cal-01, Cal-02, and the quarterly headings Q1-01 through Q4-01. In that sheet, please fill in the blank entries in the Q1 column, located in N16:N22. Some related blank period fields elsewhere in the workbook feed into this section, so those entries need to be in place before the Q1 column is meaningful. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "“Power West Price Off-Peak”工作表是一个工程价格数据整理表的一部分，里面能看到 MID-COLUMBIA、COB、NP15、Cal-00、Cal-01、Cal-02，以及 Q1-01 到 Q4-01 等季度标题。请在这个工作表中补全 Q1 列里的空白项，位置是 N16:N22。工作簿其他位置的一些相关期间字段会影响这里的内容，因此这些条目需要先保持完整，Q1 列才有意义。请将补全后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 26, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 4, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": 59.7 + }, + "source_file_id": "mark_guzman__24549__west prices1006", + "inferred_domain": "engineering", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "P2", + "used_range": "A3:HC310", + "row_count": 308, + "col_count": 211, + "has_header": false, + "title_hint": "P2", + "header_info": null + }, + { + "name": "Power West Price Peak", + "used_range": "A1:R41", + "row_count": 41, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Peak", + "header_info": null + }, + { + "name": "Power West Price Off-Peak", + "used_range": "A1:R42", + "row_count": 42, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Off Peak", + "header_info": null + }, + { + "name": "Power West Price Peak-Tim", + "used_range": "A1:R1096", + "row_count": 1096, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Peak Tim", + "header_info": null + }, + { + "name": "Power West Price Off Peak-Tim", + "used_range": "A1:R1096", + "row_count": 1096, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Off Peak Tim", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/audit.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..c542cd5dc36905f04d1d0b2e948b9f06d68e5601 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/audit.json @@ -0,0 +1,408 @@ +{ + "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 7 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=71869B, src=95859B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=2.0 (total=14, final=7)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "12 unique values across 14 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": "CLEAN", + "validate_pass": true, + "hard_fails": 0, + "soft_warns": 0, + "checks": [ + { + "check": "cell_range_match", + "pass": true, + "detail": "contract=2, prompt=7, 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=['Power West Price Off-Peak'], 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 7 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 1 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['AVERAGE']", + "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 14 GT cells (0%)", + "severity": "OK" + } + ] + }, + "pre_nl_local": { + "local_total": 55, + "local_label": "PENDING_NL", + "hard_fail_flags": [], + "warnings": [ + "nl_missing" + ], + "local_subscores": { + "family_clean": 25, + "target_integrity": 15, + "taxonomy": 10, + "semantic_signal": 5, + "nl_schema": 0, + "target_alignment": 0, + "business_specificity": 0, + "nl_risk": 0 + } + } + }, + "verify": { + "uniqueness": { + "total_gt_cells": 14, + "total_non_none": 14, + "block_reasons": [], + "warnings": [], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "float": 14 + }, + "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": 14 + } + }, + "solver_visibility": { + "contract_cells": 14, + "total_masked": 14, + "total_visible": 4874, + "depth": 2, + "block_reasons": [], + "warnings": [], + "checks": { + "broken_chains": { + "count": 0, + "checked": 14, + "details": [] + }, + "orphan_masks": { + "count": 0, + "details": [] + }, + "self_contained": { + "missing_sheets": [] + } + } + }, + "exemplar": { + "soft_block": false, + "block_reasons": [], + "checks": { + "pattern_coverage": { + "pass": true, + "total_gt_patterns": 2, + "total_src_patterns": 9, + "zero_exemplar_count": 0, + "low_exemplar_count": 0 + }, + "zero_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "low_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "func_coverage": { + "AVERAGE": { + "total_masked": 7, + "visible_exemplars": 203 + }, + "arithmetic": { + "total_masked": 7, + "visible_exemplars": 929 + } + } + } + }, + "shortcut": { + "shortcut_risk": 0.0, + "flags": [] + }, + "release_audit": { + "surface_single_sheet": true, + "surface_sheets": [ + "Power West Price Off-Peak" + ], + "cross_sheet_actual": true, + "cross_sheet_ref_count": 840, + "referenced_sheets": [ + "P2" + ], + "target_shape": "summary_block", + "layer_sizes": [ + 7, + 7 + ], + "mask_last_total_cells": 14, + "layer_growth_ratios": [ + 1.0 + ], + "pattern_dominance_ratio": 0.5, + "visible_clone_regions": 6, + "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_c2e4fa9318b6", + "difficulty_score": 49.2, + "difficulty": "medium", + "depth": 2, + "total_masked": 14, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 5.0, + "cross_refs": 7, + "visible_exemplar_ratio": 0.588, + "score_breakdown": { + "depth": 7, + "cross_sheet": 10, + "cell_count": 7.6, + "patterns": 6, + "complexity": 7.5, + "cross_refs": 7, + "vis_penalty": 4.1 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_full.json new file mode 100644 index 0000000000000000000000000000000000000000..2c43ff8bd797a2061b4288cb761885f946c97e73 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_full.json @@ -0,0 +1,128 @@ +[ + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 16, + "formula": "=W4-W27", + "cached_value": -1.653283410138222, + "pattern_id": "pf_0002", + "layer": 1 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 17, + "formula": "=W5-W28", + "cached_value": 2.197964669738873, + "pattern_id": "pf_0002", + "layer": 1 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 18, + "formula": "=W6-W29", + "cached_value": 0.5969549499443616, + "pattern_id": "pf_0002", + "layer": 1 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 19, + "formula": "=W7-W30", + "cached_value": 0.12089292397215701, + "pattern_id": "pf_0002", + "layer": 1 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 20, + "formula": "=W8-W31", + "cached_value": -1.25, + "pattern_id": "pf_0002", + "layer": 1 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 21, + "formula": "=W9-W32", + "cached_value": 0.14928534414378447, + "pattern_id": "pf_0002", + "layer": 1 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 22, + "formula": "=W10-W33", + "cached_value": 0.14928534414378447, + "pattern_id": "pf_0002", + "layer": 1 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 4, + "formula": "=AVERAGE('P2'!BG5:FV5)", + "cached_value": 31.714499487967238, + "pattern_id": "pf_0027", + "layer": 2 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 5, + "formula": "=AVERAGE('P2'!BG7:FV7)", + "cached_value": 33.79094982078853, + "pattern_id": "pf_0042", + "layer": 2 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 6, + "formula": "=AVERAGE('P2'!BG9:FV9)", + "cached_value": 34.62534699048323, + "pattern_id": "pf_0057", + "layer": 2 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 7, + "formula": "=AVERAGE('P2'!BG11:FV11)", + "cached_value": 31.189140847239976, + "pattern_id": "pf_0072", + "layer": 2 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 8, + "formula": "=AVERAGE('P2'!BG13:FV13)", + "cached_value": 31.44597551737474, + "pattern_id": "pf_0087", + "layer": 2 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 9, + "formula": "=AVERAGE('P2'!BG15:FV15)", + "cached_value": 31.990155369080824, + "pattern_id": "pf_0102", + "layer": 2 + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 10, + "formula": "=AVERAGE('P2'!BG17:FV17)", + "cached_value": 31.990155369080824, + "pattern_id": "pf_0138", + "layer": 2 + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_target.json new file mode 100644 index 0000000000000000000000000000000000000000..e166809bb63ebbc1c0f6fe1362ecf23a129a843b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_target.json @@ -0,0 +1,58 @@ +[ + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 16, + "formula": "=W4-W27", + "cached_value": -1.653283410138222, + "pattern_id": "pf_0002" + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 17, + "formula": "=W5-W28", + "cached_value": 2.197964669738873, + "pattern_id": "pf_0002" + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 18, + "formula": "=W6-W29", + "cached_value": 0.5969549499443616, + "pattern_id": "pf_0002" + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 19, + "formula": "=W7-W30", + "cached_value": 0.12089292397215701, + "pattern_id": "pf_0002" + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 20, + "formula": "=W8-W31", + "cached_value": -1.25, + "pattern_id": "pf_0002" + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 21, + "formula": "=W9-W32", + "cached_value": 0.14928534414378447, + "pattern_id": "pf_0002" + }, + { + "sheet": "Power West Price Off-Peak", + "col": "W", + "row": 22, + "formula": "=W10-W33", + "cached_value": 0.14928534414378447, + "pattern_id": "pf_0002" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/layers.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..3e7d7812afd3c7f5d84671727e644d4335f14ace --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/layers.json @@ -0,0 +1,163 @@ +{ + "dag_id": "dag_c2e4fa9318b6", + "file_id": "matthew_lenhart__26352__West Prices0530-01", + "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_00061" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 16, + 17, + 18, + 19, + 20, + 21, + 22 + ], + "row_ranges": "16-22", + "row_count": 7, + "pattern_id": "pf_0002", + "normalized_pattern": "=[C,R-12]-[C,R+11]", + "sample_formula": "=W4-W27" + } + ], + "new_eval_cells": 7, + "total_masked_cells": 7 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00180" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 4 + ], + "row_ranges": "4", + "row_count": 1, + "pattern_id": "pf_0027", + "normalized_pattern": "=AVERAGE('P2'![C+36,R+1]:[C+155,R+1])", + "sample_formula": "=AVERAGE('P2'!BG5:FV5)" + }, + { + "region_ids": [ + "rg_00210" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 5 + ], + "row_ranges": "5", + "row_count": 1, + "pattern_id": "pf_0042", + "normalized_pattern": "=AVERAGE('P2'![C+36,R+2]:[C+155,R+2])", + "sample_formula": "=AVERAGE('P2'!BG7:FV7)" + }, + { + "region_ids": [ + "rg_00240" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 6 + ], + "row_ranges": "6", + "row_count": 1, + "pattern_id": "pf_0057", + "normalized_pattern": "=AVERAGE('P2'![C+36,R+3]:[C+155,R+3])", + "sample_formula": "=AVERAGE('P2'!BG9:FV9)" + }, + { + "region_ids": [ + "rg_00270" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 7 + ], + "row_ranges": "7", + "row_count": 1, + "pattern_id": "pf_0072", + "normalized_pattern": "=AVERAGE('P2'![C+36,R+4]:[C+155,R+4])", + "sample_formula": "=AVERAGE('P2'!BG11:FV11)" + }, + { + "region_ids": [ + "rg_00300" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 8 + ], + "row_ranges": "8", + "row_count": 1, + "pattern_id": "pf_0087", + "normalized_pattern": "=AVERAGE('P2'![C+36,R+5]:[C+155,R+5])", + "sample_formula": "=AVERAGE('P2'!BG13:FV13)" + }, + { + "region_ids": [ + "rg_00330" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 9 + ], + "row_ranges": "9", + "row_count": 1, + "pattern_id": "pf_0102", + "normalized_pattern": "=AVERAGE('P2'![C+36,R+6]:[C+155,R+6])", + "sample_formula": "=AVERAGE('P2'!BG15:FV15)" + }, + { + "region_ids": [ + "rg_00368" + ], + "sheet": "Power West Price Off-Peak", + "col": "W", + "rows": [ + 10 + ], + "row_ranges": "10", + "row_count": 1, + "pattern_id": "pf_0138", + "normalized_pattern": "=AVERAGE('P2'![C+36,R+7]:[C+155,R+7])", + "sample_formula": "=AVERAGE('P2'!BG17:FV17)" + } + ], + "new_eval_cells": 7, + "total_masked_cells": 14 + } + ], + "sink": { + "region_id": "rg_00061", + "sheet": "Power West Price Off-Peak", + "col": "W", + "pattern_id": "pf_0002", + "row_count": 7, + "family_size": 7 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..df44be0e276eccefa622c0025177c86fdd461665 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/nl_task.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..0649d05f7be59aaeb5ad25e146c212da56e7720a --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_c2e4fa9318b6", + "prompt_en": "The Power West Price Off-Peak sheet is an engineering price compilation with off-peak market labels such as MID-COLUMBIA, NP15, SP15, ZP26, COB, and Palo Verde, alongside period headers like Q3-01, Q4-01, Cal-01, and Q1-02. Please complete the blank entries in the Cal 05-14 column on that sheet, specifically the cells in W16:W22. Some blank period columns in the workbook feed into later period fields, so those related entries need to be in place before the Cal 05-14 column is finalized. Save the completed workbook as an .xlsx file.", + "prompt_cn": "“Power West Price Off-Peak”工作表是一份工程价格汇编，里面包含 MID-COLUMBIA、NP15、SP15、ZP26、COB、Palo Verde 等离峰市场标签，也有 Q3-01、Q4-01、Cal-01、Q1-02 等期间标题。请补全该工作表中 “Cal 05-14” 列的空白项，具体位置是 W16:W22。工作簿里有些空白期间列会影响后面的期间字段，所以相关条目需要先补齐，Cal 05-14 列才完整。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the relevant sheet, column, and cell range, uses only visible workbook labels, frames the task as an engineering price compilation, and avoids formulas or operational hints.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 8, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 8, + "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": 22.3, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/release_qc.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..176a7d6800bab4051c33fba258c26ad96425a3bf --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: clean depth-2 chain mask with real cells, valid GT, and sufficient visible structure to reconstruct the cross-sheet prerequisite formulas and final differences.", + "D1": { + "score": 5, + "reason": "All 14 contract cells are truly masked, there are no phantom cells, no extra masked cells, and the mask boundary is clean. The many formula-cache-missing entries are an openpyxl artifact and not masking. Visible neighboring formulas provide structural clues, but the task is not purely zero-reasoning copy/paste because W4:W10 require inferring the Cal 05-14 cross-sheet aggregation from adjacent period patterns." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas W16:W22 follow the visible row-wise variance/difference pattern, e.g. W16=W4-W27 through W22=W10-W33. The formulas are deterministic and consistent with the supplied cached results." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the sheet, column, and final target cells W16:W22. It also hints that related blank period entries feed later fields. The prerequisite range W4:W10 is not explicitly named, so the solver must discover it from workbook structure, but this is acceptable for the chain-masking design." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL prompt, the necessary evidence is mostly visible. The final W16:W22 pattern is inferable from adjacent columns O:V, where each row subtracts the lower benchmark row from the corresponding upper period row. The prerequisite W4:W10 formulas are inferable from adjacent period formulas in Q:V and the Cal 05-14 header: earlier Cal columns use contiguous annual P2 ranges, while quarterly columns S:V show the 2005-2014 quarterly source blocks. The solver must infer the combined Cal 05-14 range over P2 rather than copy a visible W formula, but the root evidence is present. Minor gap: the exact annual aggregation boundary requires careful pattern synthesis rather than being directly shown.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The relevant source sheets and formulas appear coherent, with consistent period headers and deterministic cross-sheet references into P2. There are some #REF! header indicators on ancillary Tim sheets, which slightly reduces overall workbook data-quality confidence, but they do not appear to affect the target chain." + }, + "D6": { + "score": 4, + "reason": "The NL reads like a plausible workplace spreadsheet completion request and avoids explicit benchmark jargon. It is somewhat verbose and generic, but natural enough." + }, + "total": 26, + "verdict": "RELEASE", + "verdict_reason": "High-quality task: clean masking, valid GT, clear target, and enough visible workbook evidence to reconstruct the dependency chain. Minor issues are limited to slightly vague prerequisite wording and unrelated #REF indicators in ancillary sheets.", + "frontier_hardness": { + "score": 2, + "reason": "This is a shallow depth-2 task with only two formula patterns. A frontier model should likely infer the final difference formulas from adjacent columns and reconstruct the prerequisite Cal 05-14 averages from visible quarterly/yearly cross-sheet patterns, though it still requires some careful range reasoning.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 34049, + "_timing_load_workbooks": 0.4, + "_timing_context": 0.11, + "_timing_api": 32.87, + "local_difficulty": { + "difficulty_score": 49.2, + "difficulty": "medium", + "depth": 2, + "total_masked": 14, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 5, + "cross_refs": 7, + "visible_exemplar_ratio": 0.588 + }, + "task_id": "cross_sheet__dag_c2e4fa9318b6", + "elapsed": 33.4, + "publish_decision": "YES", + "release_tier": "SILVER", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/src.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..090f36be97158e0ebfbd27d91b1fcb827dafa69d Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/target_contract.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..a6b19616a7a7598fe3f3be045711edcff6ba7f1d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/target_contract.json @@ -0,0 +1,63 @@ +{ + "task_id": "cross_sheet__dag_c2e4fa9318b6", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Power West Price Off-Peak", + "column": "W", + "column_header": "Cal 05-14", + "cell_range": "W16:W22", + "cell_count": 7, + "rows": [ + 16, + 17, + 18, + 19, + 20, + 21, + 22 + ], + "first_row_label": "MID-COLUMBIA", + "last_row_label": "ROCKIES" + } + ], + "cell_count": 7, + "formula_families": [ + "arithmetic" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Power West Price Off-Peak", + "column": "W", + "column_header": "Cal 05-14", + "cell_range": "W4:W10", + "cell_count": 7, + "rows": [ + 4, + 5, + 6, + 7, + 8, + 9, + 10 + ], + "first_row_label": "MID-COLUMBIA", + "last_row_label": "ROCKIES" + } + ], + "cell_count": 7 + } + ], + "total_prerequisite_cells": 7, + "total_masked_cells": 14, + "ratio_total_vs_final": 2.0, + "sheets_involved": [ + "Power West Price Off-Peak" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/task_meta.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..f44eb2565e10a7f3422ba2cb615ca9652950059d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/task_meta.json @@ -0,0 +1,73 @@ +{ + "fcb_id": "FCB-08288", + "task_id": "cross_sheet__dag_c2e4fa9318b6", + "tier": "T4_STANDARD", + "category": "cross_sheet", + "depth": 2, + "total_masked": 14, + "is_cross_sheet": true, + "prompt_en": "The Power West Price Off-Peak sheet is an engineering price compilation with off-peak market labels such as MID-COLUMBIA, NP15, SP15, ZP26, COB, and Palo Verde, alongside period headers like Q3-01, Q4-01, Cal-01, and Q1-02. Please complete the blank entries in the Cal 05-14 column on that sheet, specifically the cells in W16:W22. Some blank period columns in the workbook feed into later period fields, so those related entries need to be in place before the Cal 05-14 column is finalized. Save the completed workbook as an .xlsx file.", + "prompt_cn": "“Power West Price Off-Peak”工作表是一份工程价格汇编，里面包含 MID-COLUMBIA、NP15、SP15、ZP26、COB、Palo Verde 等离峰市场标签，也有 Q3-01、Q4-01、Cal-01、Q1-02 等期间标题。请补全该工作表中 “Cal 05-14” 列的空白项，具体位置是 W16:W22。工作簿里有些空白期间列会影响后面的期间字段，所以相关条目需要先补齐，Cal 05-14 列才完整。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 26, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 4, + "D6": 4, + "frontier_hardness": 2, + "local_difficulty": 49.2 + }, + "source_file_id": "matthew_lenhart__26352__West Prices0530-01", + "inferred_domain": "engineering", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "P2", + "used_range": "A3:HJ310", + "row_count": 308, + "col_count": 218, + "has_header": false, + "title_hint": "P2", + "header_info": null + }, + { + "name": "Power West Price Peak", + "used_range": "A1:W41", + "row_count": 41, + "col_count": 23, + "has_header": false, + "title_hint": "Power West Price Peak", + "header_info": null + }, + { + "name": "Power West Price Off-Peak", + "used_range": "A1:W42", + "row_count": 42, + "col_count": 23, + "has_header": false, + "title_hint": "Power West Price Off Peak", + "header_info": null + }, + { + "name": "Power West Price Peak-Tim", + "used_range": "A1:R1096", + "row_count": 1096, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Peak Tim", + "header_info": null + }, + { + "name": "Power West Price Off Peak-Tim", + "used_range": "A1:R1096", + "row_count": 1096, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Off Peak Tim", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/audit.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..50f9dd580e139e382b558203478d823a038aeab0 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/audit.json @@ -0,0 +1,447 @@ +{ + "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 7 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=119514B, src=168513B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=5.0 (total=35, final=7)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "31 unique values across 35 cells" + }, + { + "check": "tail_artifact", + "pass": true, + "detail": "0 bad values" + }, + { + "check": "unrecoverable_leaf", + "pass": true, + "detail": "clean", + "hidden_const_cells": [] + }, + { + "check": "adjacent_column_leak", + "pass": true, + "detail": "clean" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "severity": null, + "detail": "28 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=5, prompt=1, missing=2", + "missing_ranges": [ + "F5:F11", + "I5:I11" + ], + "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=['Time Sheet'], 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 7 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": false, + "detail": "referenced=1 mentioned=0 missing=1 [Data]", + "severity": "SOFT_WARN" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 5 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": false, + "detail": "GT funcs: ['SUM', 'VLOOKUP']; MISMATCHES: 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 35 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": 35, + "total_non_none": 35, + "block_reasons": [], + "warnings": [], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "str": 35 + }, + "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": 35 + } + }, + "solver_visibility": { + "contract_cells": 35, + "total_masked": 35, + "total_visible": 10970, + "depth": 2, + "block_reasons": [], + "warnings": [], + "checks": { + "broken_chains": { + "count": 0, + "checked": 35, + "details": [] + }, + "orphan_masks": { + "count": 0, + "details": [] + }, + "self_contained": { + "missing_sheets": [] + } + } + }, + "exemplar": { + "soft_block": true, + 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a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/layers.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..aabe98984ca3def0b5ddafaa26aa2da55b6f6acc --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/layers.json @@ -0,0 +1,142 @@ +{ + "dag_id": "dag_d1a33a594f39", + "file_id": "775335d1649036437-calculate-pay-rate-depending-on-the-time-of-day-weekly-time-sheet-help", + "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_03342" + ], + "sheet": "Time Sheet", + "col": "J", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "row_ranges": "5-11", + "row_count": 7, + "pattern_id": "pf_0008", + "normalized_pattern": "=SUM([C-4,R]-[C-5,R])+([C-1,R]-[C-2,R])", + "sample_formula": "=SUM(F5-E5)+(I5-H5)" + } + ], + "new_eval_cells": 7, + "total_masked_cells": 7 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_03337" + ], + "sheet": "Time Sheet", + "col": "E", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "row_ranges": "5-11", + "row_count": 7, + "pattern_id": "pf_0003", + "normalized_pattern": "=VLOOKUP([C-2,R],DATA![$A,$3]:[$W,$667],6,FALSE)", + "sample_formula": "=VLOOKUP(C5,Data!$A$3:$W$667,6,FALSE)" + }, + { + "region_ids": [ + "rg_03338" + ], + "sheet": "Time Sheet", + "col": "F", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "row_ranges": "5-11", + "row_count": 7, + "pattern_id": "pf_0004", + "normalized_pattern": "=VLOOKUP([C-3,R],DATA![$A,$3]:[$W,$667],11,FALSE)", + "sample_formula": "=VLOOKUP(C5,Data!$A$3:$W$667,11,FALSE)" + }, + { + "region_ids": [ + "rg_03340" + ], + "sheet": "Time Sheet", + "col": "H", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "row_ranges": "5-11", + "row_count": 7, + "pattern_id": "pf_0006", + "normalized_pattern": "=VLOOKUP([C-5,R],DATA![$A,$3]:[$W,$667],14,FALSE)", + "sample_formula": "=VLOOKUP(C5,Data!$A$3:$W$667,14,FALSE)" + }, + { + "region_ids": [ + "rg_03341" + ], + "sheet": "Time Sheet", + "col": "I", + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "row_ranges": "5-11", + "row_count": 7, + "pattern_id": "pf_0007", + "normalized_pattern": "=VLOOKUP([C-6,R],DATA![$A,$3]:[$W,$667],19,FALSE)", + "sample_formula": "=VLOOKUP(C5,Data!$A$3:$W$667,19,FALSE)" + } + ], + "new_eval_cells": 28, + "total_masked_cells": 35 + } + ], + "sink": { + "region_id": "rg_03342", + "sheet": "Time Sheet", + "col": "J", + "pattern_id": "pf_0008", + "row_count": 7, + "family_size": 7 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..4816a7efa98c7b71bb99e6c8ec84973958d65e6c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/mask_last.xlsx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ae87f9ca43d302360a80951b5b8884957f48d7cbedd48ca6e9e6637919d14c2 +size 119514 diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/nl_task.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..c830554f0c69f6c488eed6a7073f7e9d515dcae4 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_d1a33a594f39", + "prompt_en": "The Time Sheet workbook is set up for finance review, with entries like Date, Start Time, End Time, Break, Total Hours, Pay Rate, Income Tax, National insurance Contribution, and the WEEKLY breakdown alongside YEARLY BANDS. On the \"Time Sheet\" sheet, please fill in the blank values in the \"Regular hrs\" column, specifically J5:J11. The surrounding time and pay fields need to be in place so the Regular hrs entries fit correctly with the rest of the sheet. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "这个 Time Sheet 工作簿是用于财务复核的，里面有 Date、Start Time、End Time、Break、Total Hours、Pay Rate、Income Tax、National insurance Contribution，以及 WEEKLY breakdown 和 YEARLY BANDS 等内容。请在 “Time Sheet” 工作表中补全 “Regular hrs” 列里的空白值，位置是 J5:J11。周围的工时和薪资相关字段需要保持完整，这样 Regular hrs 的内容才能与表里的其他信息一致。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt identifies the business context, sheet, target column, and range without giving formulas or operational hints. It naturally notes that related fields support the target values while avoiding dependency details.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 38.6, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/release_qc.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..c63446e1145f3a0279a76824f1ec8114ce64bc0a --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: The mask is clean and the dependency chain is reconstructible from visible workbook structure, adjacent formulas, and the Data sheet references, though the NL prompt is somewhat vague about prerequisite blanks.", + "D1": { + "score": 5, + "reason": "All 35 contract cells are real in-sheet cells and were truly masked; no contract cells were left unmasked and there is no extra masking outside the contract. The visible formulas in adjacent pay-breakdown columns expose the Regular hrs arithmetic pattern, and visible D/G VLOOKUP formulas expose the cross-sheet lookup structure, but this is not purely trivial copy-paste because the solver still must reconstruct the hidden time lookup columns and dependency order." + }, + "D2": { + "score": 5, + "reason": "The ground-truth J5:J11 formulas consistently compute total regular hours as the first work interval plus the second work interval, i.e. (Out-In)+(Out-In). Cached values are plausible and consistent with time-duration outputs, including the 00:00:00 rest-day row. The formulas are deterministic and row-consistent." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the target sheet and target range J5:J11 in the Regular hrs column. It is somewhat under-specific because it does not explicitly say that the blank In/Out prerequisite cells E/F/H/I also need to be restored from the Data sheet, but it hints that surrounding time fields need to be in place." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the prompt, the solver can see the target headers, the blank prerequisite time columns, visible D and G formulas using VLOOKUP into Data, and visible N:R formulas that repeatedly use the same ((F-E)+(I-H)) structure for hours. This provides root evidence for both needed patterns: reconstructing E/F/H/I as Data lookups and J as the sum of two intervals. The main gap is that the exact Data lookup indices for the hidden time fields are not stated in the NL and must be inferred by inspecting the Data sheet and surrounding lookup structure, but this is a reasonable inference rather than a hidden constant.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source workbook appears structurally sound: formulas are consistent, cross-sheet references point to existing Data ranges, and no circular or broken formulas are evident from the provided context. The Data sheet headers are numeric rather than semantically descriptive, which slightly reduces clarity, but the workbook data itself appears usable." + }, + "D6": { + "score": 4, + "reason": "The request sounds mostly like a realistic finance-review workbook task and avoids benchmark jargon. It is a bit verbose and generic, with some broad workbook-description language, but still natural enough." + }, + "total": 26, + "verdict": "RELEASE", + "verdict_reason": "Publishable as-is: GT and masking are clean, the task is solvable with visible structural evidence, and the only notable weakness is mild NL vagueness around restoring prerequisite time fields and Data lookups.", + "frontier_hardness": { + "score": 3, + "reason": "A frontier model would need to reconstruct a small cross-sheet dependency chain: fill four prerequisite time columns via Data lookups, then compute Regular hrs from two time intervals. The visible adjacent formulas provide strong clues, so this is not likely to defeat a strong model, but it still requires nontrivial cross-sheet reasoning and dependency reconstruction.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 54160, + "_timing_load_workbooks": 0.97, + "_timing_context": 0.04, + "_timing_api": 84.23, + "local_difficulty": { + "difficulty_score": 65.5, + "difficulty": "hard", + "depth": 2, + "total_masked": 35, + "is_cross_sheet": true, + "unique_patterns": 2, + "avg_complexity": 9, + "cross_refs": 28, + "visible_exemplar_ratio": 0.125 + }, + "task_id": "cross_sheet__dag_d1a33a594f39", + "elapsed": 85.2, + "publish_decision": "YES", + "release_tier": "SILVER", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/src.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..d450bbe07481f6caaa52ea9df7c52a0785db0081 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/src.xlsx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c4569267f919b41ebe45726c1d4e200bf71ad9f3b44bdb1a1cce0609fc33806 +size 168513 diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/target_contract.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..c9d975c206eb351808f9b04e83b8dbd0c5733754 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/target_contract.json @@ -0,0 +1,117 @@ +{ + "task_id": "cross_sheet__dag_d1a33a594f39", + "category": "cross_sheet", + "depth": 2, + "final_target": { + "regions": [ + { + "sheet": "Time Sheet", + "column": "J", + "column_header": "Regular hrs", + "cell_range": "J5:J11", + "cell_count": 7, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "first_row_label": "", + "last_row_label": "RD" + } + ], + "cell_count": 7, + "formula_families": [ + "aggregation" + ] + }, + "prerequisite_steps": [ + { + "layer": 2, + "regions": [ + { + "sheet": "Time Sheet", + "column": "E", + "column_header": "In", + "cell_range": "E5:E11", + "cell_count": 7, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "first_row_label": "", + "last_row_label": "RD" + }, + { + "sheet": "Time Sheet", + "column": "F", + "column_header": "Out", + "cell_range": "F5:F11", + "cell_count": 7, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "first_row_label": "", + "last_row_label": "RD" + }, + { + "sheet": "Time Sheet", + "column": "H", + "column_header": "In", + "cell_range": "H5:H11", + "cell_count": 7, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "first_row_label": "", + "last_row_label": "RD" + }, + { + "sheet": "Time Sheet", + "column": "I", + "column_header": "Out", + "cell_range": "I5:I11", + "cell_count": 7, + "rows": [ + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "first_row_label": "", + "last_row_label": "RD" + } + ], + "cell_count": 28 + } + ], + "total_prerequisite_cells": 28, + "total_masked_cells": 35, + "ratio_total_vs_final": 5.0, + "sheets_involved": [ + "Time Sheet" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/task_meta.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..5d6a84c2330c2a88e9d6178826c0971905c055f8 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/task_meta.json @@ -0,0 +1,96 @@ +{ + "fcb_id": "FCB-08315", + "task_id": "cross_sheet__dag_d1a33a594f39", + "tier": "T4_STANDARD", + "category": "cross_sheet", + "depth": 2, + "total_masked": 35, + "is_cross_sheet": true, + "prompt_en": "The Time Sheet workbook is set up for finance review, with entries like Date, Start Time, End Time, Break, Total Hours, Pay Rate, Income Tax, National insurance Contribution, and the WEEKLY breakdown alongside YEARLY BANDS. On the \"Time Sheet\" sheet, please fill in the blank values in the \"Regular hrs\" column, specifically J5:J11. The surrounding time and pay fields need to be in place so the Regular hrs entries fit correctly with the rest of the sheet. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "这个 Time Sheet 工作簿是用于财务复核的，里面有 Date、Start Time、End Time、Break、Total Hours、Pay Rate、Income Tax、National insurance Contribution，以及 WEEKLY breakdown 和 YEARLY BANDS 等内容。请在 “Time Sheet” 工作表中补全 “Regular hrs” 列里的空白值，位置是 J5:J11。周围的工时和薪资相关字段需要保持完整，这样 Regular hrs 的内容才能与表里的其他信息一致。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 26, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 4, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": 65.5 + }, + "source_file_id": "775335d1649036437-calculate-pay-rate-depending-on-the-time-of-day-weekly-time-sheet-help", + "inferred_domain": "finance", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "Sheet1", + "used_range": "A2:J13", + "row_count": 12, + "col_count": 10, + "has_header": true, + "title_hint": "Sheet1", + "header_info": { + "sheet": "Sheet1", + "header_row": 2, + "headers": { + "B": "Date", + "C": "Start Time", + "D": "End Time", + "E": "Break", + "F": "Start Time", + "G": "End Time", + "H": "Total Hours", + "I": "Pay Rate", + "J": "Total Pay" + } + } + }, + { + "name": "Tax & NI", + "used_range": "B3:BE19", + "row_count": 17, + "col_count": 56, + "has_header": false, + "title_hint": "Tax & NI", + "header_info": null + }, + { + "name": "Time Sheet", + "used_range": "B2:AE102", + "row_count": 101, + "col_count": 30, + "has_header": false, + "title_hint": "Time Sheet", + "header_info": null + }, + { + "name": "Data", + "used_range": "A1:W670", + "row_count": 670, + "col_count": 23, + "has_header": false, + "title_hint": "Data", + "header_info": null + }, + { + "name": "Sheet3", + "used_range": "B1:X178", + "row_count": 178, + "col_count": 23, + "has_header": false, + "title_hint": "Sheet3", + "header_info": null + }, + { + "name": "Sheet6", + "used_range": "G2:I664", + "row_count": 663, + "col_count": 3, + "has_header": false, + "title_hint": "Sheet6", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/layers.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..bc58250839c4cc87d6c79b71edd35452f21cbdf0 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/layers.json @@ -0,0 +1,163 @@ +{ + "dag_id": "dag_d3d8551a5b78", + "file_id": "stacey_white__39016__West Daily Prices1016-01", + "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_02966" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 15, + 16, + 17, + 18, + 19, + 20, + 21 + ], + "row_ranges": "15-21", + "row_count": 7, + "pattern_id": "pf_0018", + "normalized_pattern": "=[C,R-11]-[C,R+11]", + "sample_formula": "=M4-M26" + } + ], + "new_eval_cells": 7, + "total_masked_cells": 7 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_05371" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 4 + ], + "row_ranges": "4", + "row_count": 1, + "pattern_id": "pf_0362", + "normalized_pattern": "=AVERAGE('P2'![C+6,R]:[C+9,R])", + "sample_formula": "=AVERAGE('P2'!S4:V4)" + }, + { + "region_ids": [ + "rg_05383" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 5 + ], + "row_ranges": "5", + "row_count": 1, + "pattern_id": "pf_0374", + "normalized_pattern": "=AVERAGE('P2'![C+6,R+1]:[C+9,R+1])", + "sample_formula": "=AVERAGE('P2'!S6:V6)" + }, + { + "region_ids": [ + "rg_05395" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 6 + ], + "row_ranges": "6", + "row_count": 1, + "pattern_id": "pf_0386", + "normalized_pattern": "=AVERAGE('P2'![C+6,R+2]:[C+9,R+2])", + "sample_formula": "=AVERAGE('P2'!S8:V8)" + }, + { + "region_ids": [ + "rg_05407" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 7 + ], + "row_ranges": "7", + "row_count": 1, + "pattern_id": "pf_0398", + "normalized_pattern": "=AVERAGE('P2'![C+6,R+3]:[C+9,R+3])", + "sample_formula": "=AVERAGE('P2'!S10:V10)" + }, + { + "region_ids": [ + "rg_05419" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 8 + ], + "row_ranges": "8", + "row_count": 1, + "pattern_id": "pf_0410", + "normalized_pattern": "=AVERAGE('P2'![C+6,R+4]:[C+9,R+4])", + "sample_formula": "=AVERAGE('P2'!S12:V12)" + }, + { + "region_ids": [ + "rg_05431" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 9 + ], + "row_ranges": "9", + "row_count": 1, + "pattern_id": "pf_0422", + "normalized_pattern": "=AVERAGE('P2'![C+6,R+5]:[C+9,R+5])", + "sample_formula": "=AVERAGE('P2'!S14:V14)" + }, + { + "region_ids": [ + "rg_05443" + ], + "sheet": "Power West Price Peak", + "col": "M", + "rows": [ + 10 + ], + "row_ranges": "10", + "row_count": 1, + "pattern_id": "pf_0434", + "normalized_pattern": "=AVERAGE('P2'![C+6,R+6]:[C+9,R+6])", + "sample_formula": "=AVERAGE('P2'!S16:V16)" + } + ], + "new_eval_cells": 7, + "total_masked_cells": 14 + } + ], + "sink": { + "region_id": "rg_02966", + "sheet": "Power West Price Peak", + "col": "M", + "pattern_id": "pf_0018", + "row_count": 7, + "family_size": 7 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..5e222914b5e0aed85b2296eaa69304e4c8c95942 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/mask_last.xlsx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ac8e3a9969be5da5609d0eb7b71794b8f6201fe8b90fdc26baa8395f8f95f8d9 +size 406509 diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/src.xlsx b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..da3ebea6b44ad5a885fbc6708ce9c40078b1dd0d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/src.xlsx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85db8e3ecdc0d557a9cfcc01cff42519d3f7cdff3b5ae01359fece724e603ef6 +size 522643 diff --git a/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/task_meta.json b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..b18ee82f3328e5dce11aee3bb4e0049d2833c15f --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/task_meta.json @@ -0,0 +1,229 @@ +{ + "fcb_id": "FCB-08320", + "task_id": "cross_sheet__dag_d3d8551a5b78", + "tier": "T4_STANDARD", + "category": "cross_sheet", + "depth": 2, + "total_masked": 14, + "is_cross_sheet": true, + "prompt_en": "The \"Power West Price Peak\" sheet sits alongside curve summary tabs like \"Curve Summary Temp\" and \"Curve Summary ALBERTA,\" with labels such as Report Date, West Peak Prices, Oct 01, Nov 01, Dec 01, West Off-Peak Prices, 2001 Total, Jan-Feb '02, Mar-Apr '02, MID-COLUMBIA, TenMinSpin, and West Daily Peak Prices. Please fill in the blank entries in the \"Cal-01\" column on \"Power West Price Peak,\" specifically M15:M21. Some of the monthly or period price fields elsewhere in the workbook may need to be in place before the Cal-01 entries are meaningful, so make sure the relevant visible workbook context is complete enough to support those cells. Save the completed file as an .xlsx file.", + "prompt_cn": "“Power West Price Peak”工作表与“Curve Summary Temp”和“Curve Summary ALBERTA”等曲线汇总页放在同一个工作簿中，表内可见的标签包括 Report Date、West Peak Prices、Oct 01、Nov 01、Dec 01、West Off-Peak Prices、2001 Total、Jan-Feb '02、Mar-Apr '02、MID-COLUMBIA、TenMinSpin 和 West Daily Peak Prices。请补齐“Power West Price Peak”工作表中“Cal-01”列的空白项，位置是 M15:M21。工作簿中其他月度或期间价格字段可能需要先补全，Cal-01 里的这些条目才有完整的上下文依据，因此请根据可见内容把相关信息补到足以支持这些单元格。完成后请将文件保存为 .xlsx 格式。", + "qc": { + "total": 26, + "verdict": "RELEASE", + "D1": 4, + "D2": 5, + "D3": 4, + "D4": 5, + "D5": 4, + "D6": 4, + "frontier_hardness": 2, + "local_difficulty": 49.2 + }, + "source_file_id": "stacey_white__39016__West Daily Prices1016-01", + "inferred_domain": "data_analysis", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "Curve Summary Temp", + "used_range": "A1:AV161", + "row_count": 161, + "col_count": 48, + "has_header": false, + "title_hint": "Curve Summary Temp", + "header_info": null + }, + { + "name": "Power Price", + "used_range": "A1:EJ123", + "row_count": 123, + "col_count": 140, + "has_header": false, + "title_hint": "Power Price", + "header_info": null + }, + { + "name": "Power Off-Peak Prices", + "used_range": "A1:EJ123", + "row_count": 123, + "col_count": 140, + "has_header": false, + "title_hint": "Power Off Peak Prices", + "header_info": null + }, + { + "name": "Power Desk Daily Price", + "used_range": "A1:BR121", + "row_count": 121, + "col_count": 70, + "has_header": false, + "title_hint": "Power Desk Daily Price", + "header_info": null + }, + { + "name": "OP.Power Desk Daily Price", + "used_range": "A1:BZ154", + "row_count": 154, + "col_count": 78, + "has_header": false, + "title_hint": "OP.Power Desk Daily Price", + "header_info": null + }, + { + "name": "Power West Price OP 6 by 8", + "used_range": "A1:AB42", + "row_count": 42, + "col_count": 28, + "has_header": false, + "title_hint": "Power West Price OP 6 by 8", + "header_info": null + }, + { + "name": "Power West Price Peak-Tim", + "used_range": "A1:R1096", + "row_count": 1096, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Peak Tim", + "header_info": null + }, + { + "name": "Power West Price Off Peak-Tim", + "used_range": "A1:R1096", + "row_count": 1096, + "col_count": 18, + "has_header": false, + "title_hint": "Power West Price Off Peak Tim", + "header_info": null + }, + { + "name": "Curve Summary ALBERTA", + "used_range": "A1:AU1592", + "row_count": 1592, + "col_count": 47, + "has_header": false, + "title_hint": "Curve Summary ALBERTA", + "header_info": null + }, + { + "name": "Sat Curve Sum", + "used_range": "A1:AJ199", + "row_count": 199, + "col_count": 36, + "has_header": true, + "title_hint": "Sat Curve Sum", + "header_info": { + "sheet": "Sat Curve Sum", + "header_row": 1, + "headers": { + "B": "R7", + "C": "R8", + "D": "R9", + "E": "R10", + "F": "R11", + "G": "B4", + "I": "R12", + "R": "R21", + "T": "R4", + "U": "B10", + "W": "B12", + "Y": "R4B", + "Z": "R4C", + "AB": "R3", + "AC": "R3A", + "AD": "R3B", + "AE": "R5", + "AF": "R5A", + "AG": "R6" + } + } + }, + { + "name": "Sun Curve Sum", + "used_range": "A1:AK199", + "row_count": 199, + "col_count": 37, + "has_header": true, + "title_hint": "Sun Curve Sum", + "header_info": { + "sheet": "Sun Curve Sum", + "header_row": 1, + "headers": { + "B": "R7", + "C": "R8", + "D": "R9", + "E": "R10", + "F": "R11", + "G": "B4", + "I": "R12", + "R": "R21", + "T": "R4", + "U": "B10", + "W": "B12", + "Y": "R4B", + "Z": "R4C", + "AB": "R3", + "AC": "R3A", + "AD": "R3B", + "AE": "R5", + "AF": "R5A", + "AG": "R6" + } + } + }, + { + "name": "Off Peak Curve Sum", + "used_range": "A1:AP1699", + "row_count": 1699, + "col_count": 42, + "has_header": false, + "title_hint": "Off Peak Curve Sum", + "header_info": null + }, + { + "name": "Power West Price Peak", + "used_range": "A1:AA41", + "row_count": 41, + "col_count": 27, + "has_header": false, + "title_hint": "Power West Price Peak", + "header_info": null + }, + { + "name": "Power West Price Off-Peak", + "used_range": "A1:AB42", + "row_count": 42, + "col_count": 28, + "has_header": false, + "title_hint": "Power West Price Off Peak", + "header_info": null + }, + { + "name": "P2", + "used_range": "A3:IH308", + "row_count": 306, + "col_count": 242, + "has_header": false, + "title_hint": "P2", + "header_info": null + }, + { + "name": "P2Sun", + "used_range": "A2:HL304", + "row_count": 303, + "col_count": 220, + "has_header": false, + "title_hint": "P2Sun", + "header_info": null + }, + { + "name": "Prices", + "used_range": "A2:IA309", + "row_count": 308, + "col_count": 235, + "has_header": false, + "title_hint": "Prices", + "header_info": null + } + ] +} \ No newline at end of file