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a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..0c52c970176b4fdda5e56603913e073ff55e387a Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..d7f8e9d48670e3554da73dd80e50a80f66d44f0c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "cross_sheet__dag_c2bab03fc9f0", + "prompt_en": "The \"Example\" sheet is an education records view tied to the workbook's DATA fields such as Date, Time, States, Cities, Languages, Headers, Values, Criteria, Original#, Start date, and Green. In this academic records update, the blank entries that need attention are in the \"Red%\" column on the Example sheet: E18:E19, E21:E22, E24:E26, E28:E30, E32:E34, E36:E39, E41:E48, and E50:E57. Some supporting blank areas in the workbook feed into these Red% entries, so those related fields need to be in place before the Red% column can be completed confidently. Please fill in the missing Red% entries and save the completed file as an .xlsx workbook.", + "prompt_cn": "“Example”工作表是一个教育记录视图，对应工作簿中的 DATA 字段，例如 Date、Time、States、Cities、Languages、Headers、Values、Criteria、Original#、Start date 和 Green。在这份学籍记录更新中，需要补全的是 Example 工作表里“Red%”列的空白项：E18:E19、E21:E22、E24:E26、E28:E30、E32:E34、E36:E39、E41:E48 和 E50:E57。工作簿中还有一些相关的空白区域会影响这些 Red% 项，因此这些相关字段需要先整理到位，Red% 列才能完整填写。请补全缺失的 Red% 项，并将完成后的文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt identifies the workbook context, sheet, target column, and exact ranges while avoiding formulas, calculation language, and operational hints. It mentions the cross-sheet dependency only in a natural, high-level way.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 25, + "level": "medium", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 25, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 8 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 48.2, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..4c96e88f40938e650985a5a50815c2a491503509 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "Well-designed overall: the mask is clean, cells are real, GT formulas are consistent, and the dependency chain is reconstructible from visible workbook structure despite being hard.", + "D1": { + "score": 5, + "reason": "All 68 contract cells are truly masked, there are no phantom cells beyond the Example sheet range, no extra masking outside the contract, and no contract cells left unmasked. Visible D-column percentage formulas and headers provide structural clues but do not make the whole task trivially copyable because F totals and the TX Green/Red prerequisites still require dependency reconstruction." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas consistently compute Red% as IFERROR(Red/Total,\"0\") using C/F row references, matching the surrounding Green% pattern and cached values. The prerequisite formulas in src.xlsx are deterministic COUNTIFS/SUM constructions with no apparent ambiguity or volatility." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the Red% target ranges to fill and mentions that supporting blank areas feed those entries. It is somewhat generic and does not explicitly enumerate the supporting B/C/F cells or formulas, but it is understandable and aligned with the workbook task." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL, the solver can see headers Green, Red, Green%, Red%, and Total; visible Green% formulas in column D establish the percentage structure; visible Green/Red values plus the Total header support F as Green+Red; and the Data sheet/criteria layout plus notes about the TX example provide enough root evidence to reconstruct the missing TX Green/Red counts. The main gap is that the exact COUNTIFS pattern for B18/C18 is not directly visible, so it requires substantial inference from the workbook layout rather than simple copying.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook appears sound: formulas reference valid ranges, no broken or circular references are indicated, headers and criteria fields are meaningful for the intended cross-sheet counting task, and cached values are consistent with the formulas shown." + }, + "D6": { + "score": 4, + "reason": "The NL sounds mostly like a realistic workplace request about updating an education records view, though it is slightly verbose and generic in its references to workbook fields." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality hard chain-masked task with clean masking, valid GT, and sufficient visible evidence. Minor prompt vagueness does not undermine solvability.", + "frontier_hardness": { + "score": 3, + "reason": "A frontier model would need to reason through a masked dependency chain, infer Total and Red% formulas, and reconstruct the cross-sheet TX count logic from visible criteria and Data fields. However most rows expose strong structural clues, and the main formulas are regular, so a strong model with spreadsheet reasoning might succeed.", + "fail_reason": "cross_sheet_multi_hop", + "is_valid_hardness": true + }, + "_prompt_chars": 47066, + "_timing_load_workbooks": 0.27, + "_timing_context": 0.01, + "_timing_api": 46.36, + "local_difficulty": { + "difficulty_score": 81.9, + "difficulty": "hard", + "depth": 3, + "total_masked": 68, + "is_cross_sheet": true, + "unique_patterns": 4, + "avg_complexity": 34, + "cross_refs": 46, + "visible_exemplar_ratio": 0.132 + }, + "task_id": "cross_sheet__dag_c2bab03fc9f0", + "elapsed": 46.6, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..f815b793363ffd201602a9fe981619b736d90c39 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/target_contract.json @@ -0,0 +1,145 @@ +{ + "task_id": "cross_sheet__dag_c2bab03fc9f0", + "category": "cross_sheet", + "depth": 3, + "final_target": { + "regions": [ + { + "sheet": "Example", + "column": "E", + "column_header": "Red%", + "cell_range": "E18:E19, E21:E22, E24:E26, E28:E30, E32:E34, E36:E39, E41:E48, E50:E57", + "cell_count": 33, + "rows": [ + 18, + 19, + 21, + 22, + 24, + 25, + 26, + 28, + 29, + 30, + 32, + 33, + 34, + 36, + 37, + 38, + 39, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57 + ], + "first_row_label": "TX", + "last_row_label": "None" + } + ], + "cell_count": 33, + "formula_families": [ + "conditional" + ] + }, + "prerequisite_steps": [ + { + "layer": 3, + "regions": [ + { + "sheet": "Example", + "column": "B", + "column_header": "Green", + "cell_range": "B18", + "cell_count": 1, + "rows": [ + 18 + ], + "first_row_label": "TX", + "last_row_label": "" + } + ], + "cell_count": 1 + }, + { + "layer": 2, + "regions": [ + { + "sheet": "Example", + "column": "C", + "column_header": "Red", + "cell_range": "C18", + "cell_count": 1, + "rows": [ + 18 + ], + "first_row_label": "TX", + "last_row_label": "" + }, + { + "sheet": "Example", + "column": "F", + "column_header": "Total", + "cell_range": "F18:F19, F21:F22, F24:F26, F28:F30, F32:F34, F36:F39, F41:F48, F50:F57", + "cell_count": 33, + "rows": [ + 18, + 19, + 21, + 22, + 24, + 25, + 26, + 28, + 29, + 30, + 32, + 33, + 34, + 36, + 37, + 38, + 39, + 41, + 42, + 43, + 44, + 45, + 46, + 47, + 48, + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57 + ], + "first_row_label": "TX", + "last_row_label": "None" + } + ], + "cell_count": 34 + } + ], + "total_prerequisite_cells": 35, + "total_masked_cells": 68, + "ratio_total_vs_final": 2.1, + "sheets_involved": [ + "Example" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..eea933085268052a3a87225ab0a17c609ca3e6f0 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01430/task_meta.json @@ -0,0 +1,46 @@ +{ + "fcb_id": "FCB-01430", + "task_id": "cross_sheet__dag_c2bab03fc9f0", + "tier": "T2_HARD", + "category": "cross_sheet", + "depth": 3, + "total_masked": 68, + "is_cross_sheet": true, + "prompt_en": "The \"Example\" sheet is an education records view tied to the workbook's DATA fields such as Date, Time, States, Cities, Languages, Headers, Values, Criteria, Original#, Start date, and Green. In this academic records update, the blank entries that need attention are in the \"Red%\" column on the Example sheet: E18:E19, E21:E22, E24:E26, E28:E30, E32:E34, E36:E39, E41:E48, and E50:E57. Some supporting blank areas in the workbook feed into these Red% entries, so those related fields need to be in place before the Red% column can be completed confidently. Please fill in the missing Red% entries and save the completed file as an .xlsx workbook.", + "prompt_cn": "“Example”工作表是一个教育记录视图，对应工作簿中的 DATA 字段，例如 Date、Time、States、Cities、Languages、Headers、Values、Criteria、Original#、Start date 和 Green。在这份学籍记录更新中，需要补全的是 Example 工作表里“Red%”列的空白项：E18:E19、E21:E22、E24:E26、E28:E30、E32:E34、E36:E39、E41:E48 和 E50:E57。工作簿中还有一些相关的空白区域会影响这些 Red% 项，因此这些相关字段需要先整理到位，Red% 列才能完整填写。请补全缺失的 Red% 项，并将完成后的文件保存为 .xlsx 工作簿。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": 81.9 + }, + "source_file_id": "843439d1695278376-help-with-formula-for-countiifs-index-match-multiple-criteria-same-column-countif_index_match-hd_2", + "inferred_domain": "education", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "Data", + "used_range": "A1:U253", + "row_count": 253, + "col_count": 21, + "has_header": false, + "title_hint": "Data", + "header_info": null + }, + { + "name": "Example", + "used_range": "A1:X57", + "row_count": 57, + "col_count": 24, + "has_header": false, + "title_hint": "Example", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..10c7c51ed14ff9f4ca9dd3aadb9186b9cc5c44d2 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/audit.json @@ -0,0 +1,432 @@ +{ + "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 9 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=26834B, src=39719B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=1.7 (total=15, final=9)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "6 unique values across 15 cells" + }, + { + "check": "tail_artifact", + "pass": true, + "detail": "0 bad values" + }, + { + "check": "unrecoverable_leaf", + "pass": true, + "detail": "hidden_const=2 hidden:[L2:CPI-based on Jun14!R26[5124], L2:CPI-based on Jun14!R34[5831]]", + "hidden_const_cells": [ + "L2:CPI-based on Jun14!R26[5124]", + "L2:CPI-based on Jun14!R34[5831]" + ] + }, + { + "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=5, prompt=2, 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=2, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": true, + "detail": "contract=['CPI-based on Jun14'], 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 9 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": true, + "detail": "no cross-sheet refs in GT", + "severity": "OK" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 1 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: []", + "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 15 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": 15, + "total_non_none": 15, + "block_reasons": [], + "warnings": [ + "mixed_gt_types:{'float': 7, 'int': 8}" + ], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "float": 7, + "int": 8 + }, + "mixed": true + }, + "empty_gt": { + "count": 0, + "details": [] + } + } + }, + "src_chain": { + "hard_block": false, + "block_reasons": [], + "checks": { + "error_cells": { + "pass": true, + "count": 0, + "cells": [] + }, + "external_refs": { + "pass": true, + "count": 0, + "cells": [] + }, + "volatile_funcs": { + "pass": true, + "count": 0, + "cells": [] + }, + "missing_sheets": { + "pass": true, + "count": 0, + "sheets": [] + }, + "circular_refs": { + "pass": true, + "cycle_cells": [] + } + }, + "required_chain_scope": { + "external_ref_in_required_chain": 0, + "external_ref_in_other": 0, + "error_cells_in_required_chain": 0, + "error_cells_in_other": 0, + "required_chain_cells": 15 + } + }, + "solver_visibility": { + "contract_cells": 15, + "total_masked": 15, + "total_visible": 1832, + "depth": 3, + "block_reasons": [], + "warnings": [], + "checks": { + "broken_chains": { + "count": 0, + "checked": 15, + "details": [] + }, + "orphan_masks": { + "count": 0, + "details": [] + }, + "self_contained": { + "missing_sheets": [] + } + } + }, + "exemplar": { + "soft_block": true, + "block_reasons": [ + "zero_exemplar:2_patterns" + ], + "checks": { + "pattern_coverage": { + "pass": false, + "total_gt_patterns": 3, + "total_src_patterns": 29, + "zero_exemplar_count": 2, + "low_exemplar_count": 0 + }, + "zero_exemplar_patterns": { + "pass": false, + "patterns": [ + { + "pattern": "=REF+(0.25*(5124/5074-1))", + "total_in_src": 1, + "sample_formula": "=R$25+(0.25*(5124/5074-1))" + }, + { + "pattern": "=REF+(0.25*(5831/5831-1))", + "total_in_src": 1, + "sample_formula": "=R$33+(0.25*(5831/5831-1))" + } + ] + }, + "low_exemplar_patterns": { + "pass": true, + "patterns": [] + }, + "func_coverage": { + "reference": { + "total_masked": 0, + "visible_exemplars": 0 + }, + "arithmetic": { + "total_masked": 15, + "visible_exemplars": 996 + } + } + } + }, + "shortcut": { + "shortcut_risk": 0.2, + "flags": [ + { + "code": "SC3", + "description": "Copy-from-visible: 2/15 GT cells have nearby visible formula clones", + "affected_cells": 2, + "severity": "low" + } + ] + }, + "release_audit": { + "surface_single_sheet": true, + "surface_sheets": [ + "CPI-based on Jun14" + ], + "cross_sheet_actual": false, + "cross_sheet_ref_count": 0, + "referenced_sheets": [], + "target_shape": "summary_block", + "layer_sizes": [ + 9, + 2, + 4 + ], + "mask_last_total_cells": 15, + "layer_growth_ratios": [ + 0.2222, + 2.0 + ], + "pattern_dominance_ratio": 0.6, + "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": "single_sheet__dag_04c96d2238b2", + "difficulty_score": 41.2, + "difficulty": "medium", + "depth": 3, + "total_masked": 15, + "is_cross_sheet": false, + "unique_patterns": 3, + "avg_complexity": 5.0, + "cross_refs": 0, + "visible_exemplar_ratio": 0.71, + "score_breakdown": { + "depth": 14, + "cross_sheet": 0, + "cell_count": 7.8, + "patterns": 9, + "complexity": 7.5, + "cross_refs": 0, + "vis_penalty": 2.9 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/ground_truth_full.json new file mode 100644 index 0000000000000000000000000000000000000000..8d5f6be34ec93d99a635c9c50340ffa90300ed41 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/ground_truth_full.json @@ -0,0 +1,137 @@ +[ + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 27, + "formula": "=R26", + "cached_value": 1.1400635396137169, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 28, + "formula": "=R27", + "cached_value": 1.1400635396137169, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 35, + "formula": "=R34", + "cached_value": 1, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 36, + "formula": "=R35", + "cached_value": 1, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 37, + "formula": "=R36", + "cached_value": 1, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 38, + "formula": "=R37", + "cached_value": 1, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 39, + "formula": "=R38", + "cached_value": 1, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 40, + "formula": "=R39", + "cached_value": 1, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 41, + "formula": "=R40", + "cached_value": 1, + "pattern_id": "pf_0010", + "layer": 1 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 26, + "formula": "=R$25+(0.25*(5124/5074-1))", + "cached_value": 1.1400635396137169, + "pattern_id": "pf_0055", + "layer": 2 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 34, + "formula": "=R$33+(0.25*(5831/5831-1))", + "cached_value": 1, + "pattern_id": "pf_0090", + "layer": 2 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 22, + "formula": "=M22", + "cached_value": 1.0301, + "pattern_id": "pf_0016", + "layer": 3 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 23, + "formula": "=M23", + "cached_value": 1.0693, + "pattern_id": "pf_0016", + "layer": 3 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 24, + "formula": "=M24", + "cached_value": 1.0973, + "pattern_id": "pf_0016", + "layer": 3 + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 25, + "formula": "=M25", + "cached_value": 1.1376, + "pattern_id": "pf_0016", + "layer": 3 + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/ground_truth_target.json new file mode 100644 index 0000000000000000000000000000000000000000..82360a764523cb4d6f99fb19f74dd49da5778c78 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/ground_truth_target.json @@ -0,0 +1,74 @@ +[ + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 27, + "formula": "=R26", + "cached_value": 1.1400635396137169, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 28, + "formula": "=R27", + "cached_value": 1.1400635396137169, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 35, + "formula": "=R34", + "cached_value": 1, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 36, + "formula": "=R35", + "cached_value": 1, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 37, + "formula": "=R36", + "cached_value": 1, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 38, + "formula": "=R37", + "cached_value": 1, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 39, + "formula": "=R38", + "cached_value": 1, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 40, + "formula": "=R39", + "cached_value": 1, + "pattern_id": "pf_0010" + }, + { + "sheet": "CPI-based on Jun14", + "col": "R", + "row": 41, + "formula": "=R40", + "cached_value": 1, + "pattern_id": "pf_0010" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..3e0feb516e12c9217db40cc92c5bd15d15ed8f12 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/layers.json @@ -0,0 +1,116 @@ +{ + "dag_id": "dag_04c96d2238b2", + "file_id": "00a75851-75cd-405b-9217-809b75aa6f44", + "category": "single_sheet", + "surface_category": "single_sheet", + "effective_category": "single_sheet", + "depth": 3, + "quality": { + "chain_error_cells": 0, + "chain_external_cells": 0, + "is_clean": true + }, + "layers": [ + { + "layer_index": 1, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00021", + "rg_00022" + ], + "sheet": "CPI-based on Jun14", + "col": "R", + "rows": [ + 27, + 28, + 35, + 36, + 37, + 38, + 39, + 40, + 41 + ], + "row_ranges": "27-28,35-41", + "row_count": 9, + "pattern_id": "pf_0010", + "normalized_pattern": "=[C,R-1]", + "sample_formula": "=R26" + } + ], + "new_eval_cells": 9, + "total_masked_cells": 9 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00077" + ], + "sheet": "CPI-based on Jun14", + "col": "R", + "rows": [ + 26 + ], + "row_ranges": "26", + "row_count": 1, + "pattern_id": "pf_0055", + "normalized_pattern": "=[C,$25]+(0.25*(5124/5074-1))", + "sample_formula": "=R$25+(0.25*(5124/5074-1))" + }, + { + "region_ids": [ + "rg_00112" + ], + "sheet": "CPI-based on Jun14", + "col": "R", + "rows": [ + 34 + ], + "row_ranges": "34", + "row_count": 1, + "pattern_id": "pf_0090", + "normalized_pattern": "=[C,$33]+(0.25*(5831/5831-1))", + "sample_formula": "=R$33+(0.25*(5831/5831-1))" + } + ], + "new_eval_cells": 2, + "total_masked_cells": 11 + }, + { + "layer_index": 3, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00035" + ], + "sheet": "CPI-based on Jun14", + "col": "R", + "rows": [ + 22, + 23, + 24, + 25 + ], + "row_ranges": "22-25", + "row_count": 4, + "pattern_id": "pf_0016", + "normalized_pattern": "=[C-5,R]", + "sample_formula": "=M22" + } + ], + "new_eval_cells": 4, + "total_masked_cells": 15 + } + ], + "sink": { + "region_id": "rg_00021", + "sheet": "CPI-based on Jun14", + "col": "R", + "pattern_id": "pf_0010", + "row_count": 2, + "family_size": 9 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..16a1c3dd7a3274ea5d6433c2d60ec7025e92de67 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..54ea50721eca06a7dc655c661da7051c6f6e6839 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "single_sheet__dag_04c96d2238b2", + "prompt_en": "The sheet \"CPI-based on Jun14\" is part of an engineering technical data compilation for \"Revised Referendum Cap Inflation Estimates, FY 2005 - FY 2023,\" with visible CPI-related fields like \"obs,\" \"CPI,\" \"previous,\" \"diff,\" \"df-current,\" and \"df-previous.\" Please complete the blank entries in the \"n/a\" column, specifically R27:R28 and R35:R41. The surrounding CPI fields should be in place so that the entries in this column fit with the rest of the table. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "“CPI-based on Jun14”工作表是工程技术数据汇编的一部分，主题是“Revised Referendum Cap Inflation Estimates, FY 2005 - FY 2023”，表中可以看到与 CPI 相关的字段，例如“obs”、“CPI”、“previous”、“diff”、“df-current”和“df-previous”。请补全“n/a”列中的空白项，具体位置是 R27:R28 和 R35:R41。周围的 CPI 字段需要保持完整，这样该列的内容才能与表格其余部分相吻合。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, references only visible sheet names and headers, identifies the target column and ranges, avoids formulas and operation hints, and includes a simple .xlsx saving instruction.", + "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": 2 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 63.8, + "attempt": 2 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..9fa96329629666e9c223c8a00bc4604babb786a8 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: The masked cells are real and cleanly bounded, GT is consistent, and the dependency chain is reconstructible from visible structure with some nontrivial inference.", + "D1": { + "score": 5, + "reason": "All 15 contract cells are within the actual sheet range and are truly masked; there are no extra masked cells and no contract cells left unmasked. The visible same-column formulas/values provide structural clues, but they do not make the whole task trivially copyable because the solver must still reconstruct the prerequisite chain and boundary behavior across R22:R28 and R34:R41." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas match the source formulas and cached values. R27 and R28 correctly carry forward R26; R35:R41 correctly carry forward the prior row from R34 onward. The formulas are deterministic and contain no volatile or ambiguous behavior." + }, + "D3": { + "score": 4, + "reason": "The NL description clearly identifies the sheet and the final target ranges R27:R28 and R35:R41 in the n/a column. It is understandable, but it does not explicitly tell the solver that prerequisite blanks in the same dependency chain must also be reconstructed, so there is a small clarity gap inherent to the chained masking setup." + }, + "D4": { + "score": 4, + "reason": "From mask_last.xlsx and the NL prompt, the relevant column, headers, adjacent columns, and surrounding visible rows provide enough evidence to reconstruct the chain. Visible neighboring rows such as R29:R31 and R43 provide the structural pattern for the alternative ratio calculations, while the M-column ratios and carry-forward structure provide clues for R22:R25 and the repeated values in the later block. There is some inference required for the masked prerequisite bases and the carry-forward rows, but no critical hidden constant appears necessary beyond values visible in the surrounding table.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source spreadsheet appears internally sound for this task: formulas are consistent, cached values align with the formulas, there are no indicated circular references or broken dependencies, and the relevant table structure is coherent despite several generic/anonymized n/a-style headers." + }, + "D6": { + "score": 4, + "reason": "The NL prompt sounds mostly like a realistic workplace request involving completion of a technical data compilation. It is slightly verbose and benchmark-like in its explicit cell-range targeting, but still natural enough." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task overall: clean masking, correct GT, adequate NL, and solvable chain evidence. The only minor weakness is that the prompt names only the final target cells rather than explicitly mentioning prerequisite blanks, but that is acceptable under the chain-masking design.", + "frontier_hardness": { + "score": 3, + "reason": "This is a medium-difficulty task. A frontier model would need to reconstruct a depth-3 same-column dependency chain, infer base/carry-forward behavior, and use nearby formula patterns rather than simply copying a single visible exemplar. However, there are no cross-sheet dependencies and the formula diversity is limited, so a strong model would have a reasonable chance of success.", + "fail_reason": "deep_chain", + "is_valid_hardness": true + }, + "_prompt_chars": 26932, + "_timing_load_workbooks": 0.15, + "_timing_context": 0.01, + "_timing_api": 48.8, + "local_difficulty": { + "difficulty_score": 41.2, + "difficulty": "medium", + "depth": 3, + "total_masked": 15, + "is_cross_sheet": false, + "unique_patterns": 3, + "avg_complexity": 5, + "cross_refs": 0, + "visible_exemplar_ratio": 0.71 + }, + "task_id": "single_sheet__dag_04c96d2238b2", + "elapsed": 48.9, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..5b22b7e6a1f631b41546408c777e88b39916d33d Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..df429c5060fc5fc72200c9e25d51ed39a5a27efe --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/target_contract.json @@ -0,0 +1,79 @@ +{ + "task_id": "single_sheet__dag_04c96d2238b2", + "category": "single_sheet", + "depth": 3, + "final_target": { + "regions": [ + { + "sheet": "CPI-based on Jun14", + "column": "R", + "column_header": "n/a", + "cell_range": "R27:R28, R35:R41", + "cell_count": 9, + "rows": [ + 27, + 28, + 35, + 36, + 37, + 38, + 39, + 40, + 41 + ], + "first_row_label": "", + "last_row_label": "e" + } + ], + "cell_count": 9, + "formula_families": [] + }, + "prerequisite_steps": [ + { + "layer": 3, + "regions": [ + { + "sheet": "CPI-based on Jun14", + "column": "R", + "column_header": "n/a", + "cell_range": "R22:R25", + "cell_count": 4, + "rows": [ + 22, + 23, + 24, + 25 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 4 + }, + { + "layer": 2, + "regions": [ + { + "sheet": "CPI-based on Jun14", + "column": "R", + "column_header": "n/a", + "cell_range": "R26, R34", + "cell_count": 2, + "rows": [ + 26, + 34 + ], + "first_row_label": "", + "last_row_label": "e" + } + ], + "cell_count": 2 + } + ], + "total_prerequisite_cells": 6, + "total_masked_cells": 15, + "ratio_total_vs_final": 1.7, + "sheets_involved": [ + "CPI-based on Jun14" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..a7987c7dd506086cff1f62cecce0e0a556ab8ae0 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01456/task_meta.json @@ -0,0 +1,60 @@ +{ + "fcb_id": "FCB-01456", + "task_id": "single_sheet__dag_04c96d2238b2", + "tier": "T2_HARD", + "category": "single_sheet", + "depth": 3, + "total_masked": 15, + "is_cross_sheet": false, + "prompt_en": "The sheet \"CPI-based on Jun14\" is part of an engineering technical data compilation for \"Revised Referendum Cap Inflation Estimates, FY 2005 - FY 2023,\" with visible CPI-related fields like \"obs,\" \"CPI,\" \"previous,\" \"diff,\" \"df-current,\" and \"df-previous.\" Please complete the blank entries in the \"n/a\" column, specifically R27:R28 and R35:R41. The surrounding CPI fields should be in place so that the entries in this column fit with the rest of the table. Please save the completed workbook as an .xlsx file.", + "prompt_cn": "“CPI-based on Jun14”工作表是工程技术数据汇编的一部分，主题是“Revised Referendum Cap Inflation Estimates, FY 2005 - FY 2023”，表中可以看到与 CPI 相关的字段，例如“obs”、“CPI”、“previous”、“diff”、“df-current”和“df-previous”。请补全“n/a”列中的空白项，具体位置是 R27:R28 和 R35:R41。周围的 CPI 字段需要保持完整，这样该列的内容才能与表格其余部分相吻合。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": 41.2 + }, + "source_file_id": "00a75851-75cd-405b-9217-809b75aa6f44", + "inferred_domain": "engineering", + "domain_confidence": 0.25, + "sheet_profiles": [ + { + "name": "CPI-based on Jun14", + "used_range": "A1:R50", + "row_count": 50, + "col_count": 18, + "has_header": false, + "title_hint": "CPI based on Jun14", + "header_info": null + }, + { + "name": "CPI-Jun2014", + "used_range": "A1:I262", + "row_count": 262, + "col_count": 9, + "has_header": true, + "title_hint": "CPI Jun2014", + "header_info": { + "sheet": "CPI-Jun2014", + "header_row": 1, + "headers": { + "A": "obs", + "B": "obs", + "C": "CPI", + "D": "previous", + "E": "diff", + "F": "df-current", + "G": "df-previous", + "H": "n/a", + "I": "n/a" + } + } + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..318c4277bbd29f8585150f74bb583ebe9553065d --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/audit.json @@ -0,0 +1,454 @@ +{ + "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=6138B, src=10716B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=3.0 (total=21, final=7)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "11 unique values across 21 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=3, prompt=1, missing=0", + "missing_ranges": [], + "severity": "OK" + }, + { + "check": "cell_count_match", + "pass": true, + "detail": "no explicit total found; skipping (natural format)", + "severity": "OK" + }, + { + "check": "step_count_match", + "pass": true, + "detail": "contract=2, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": true, + "detail": "contract=['Sheet1'], missing=[]", + "severity": "OK" + }, + { + "check": "no_formula_leak", + "pass": true, + "detail": "0 formula leaks", + "severity": "OK" + }, + { + "check": "no_value_leak", + "pass": true, + "detail": "0 value leaks out of 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": "no cross-sheet refs in GT", + "severity": "OK" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 3 col groups" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: ['IF', '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 21 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": 21, + "total_non_none": 21, + "block_reasons": [], + "warnings": [ + "mixed_gt_types:{'int': 7, 'float': 14}" + ], + "checks": { + "rank_tie_risk": { + "rank_cells": 0, + "tie_issues": 0, + "details": [] + }, + "trivial_gt": { + "issues": [] + }, + "gt_type_consistency": { + "types": { + "int": 7, + "float": 14 + }, + "mixed": true + }, + "empty_gt": { + "count": 0, + "details": [] + } + } + }, + "src_chain": { + "hard_block": false, + "block_reasons": [], + "checks": { + "error_cells": { + "pass": true, + "count": 0, + "cells": [] + }, + "external_refs": { + "pass": true, + "count": 0, + "cells": [] + }, + "volatile_funcs": { + "pass": true, + "count": 0, + "cells": [] + }, + "missing_sheets": { + "pass": true, + "count": 0, + "sheets": [] + }, + "circular_refs": { + "pass": true, + "cycle_cells": [] + } + }, + "required_chain_scope": { + "external_ref_in_required_chain": 0, + "external_ref_in_other": 0, + "error_cells_in_required_chain": 0, + "error_cells_in_other": 0, + "required_chain_cells": 21 + } + }, + "solver_visibility": { + "contract_cells": 21, + "total_masked": 21, + "total_visible": 39, + "depth": 3, + "block_reasons": [], + "warnings": [ + "broken_chains:2/21" + ], + "checks": { + "broken_chains": { + "count": 2, + "checked": 21, + "details": [ + { + "cell": "Sheet1!D5", + "missing_dep": "Sheet1!C5", + "formula": "=((C5-B5)+(C540,REF-40,0)", + "total_in_src": 7, + "sample_formula": "=IF(E2>40,E2-40,0)" + }, + { + "pattern": "=REF", + "total_in_src": 1, + "sample_formula": "=D2" + } + ] + }, + "low_exemplar_patterns": { + "pass": false, + "patterns": [ + { + "pattern": "=REF+REF", + "total_in_src": 6, + "sample_formula": "=D3+E2" + } + ] + }, + "func_coverage": { + "SUM": { + "total_masked": 1, + "visible_exemplars": 2 + }, + "reference": { + "total_masked": 1, + "visible_exemplars": 0 + }, + "IF": { + "total_masked": 7, + "visible_exemplars": 12 + }, + "arithmetic": { + "total_masked": 12, + "visible_exemplars": 6 + } + } + } + }, + "shortcut": { + "shortcut_risk": 0.0, + "flags": [] + }, + "release_audit": { + "surface_single_sheet": true, + "surface_sheets": [ + "Sheet1" + ], + "cross_sheet_actual": false, + "cross_sheet_ref_count": 0, + "referenced_sheets": [], + "target_shape": "summary_block", + "layer_sizes": [ + 7, + 7, + 7 + ], + "mask_last_total_cells": 21, + "layer_growth_ratios": [ + 1.0, + 1.0 + ], + "pattern_dominance_ratio": 0.3333, + "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": "single_sheet__dag_36fa8cd941df", + "difficulty_score": 60.0, + "difficulty": "hard", + "depth": 3, + "total_masked": 21, + "is_cross_sheet": false, + "unique_patterns": 5, + "avg_complexity": 9.0, + "cross_refs": 0, + "visible_exemplar_ratio": 0.125, + "score_breakdown": { + "depth": 14, + "cross_sheet": 0, + "cell_count": 8.8, + "patterns": 15, + "complexity": 13.5, + "cross_refs": 0, + "vis_penalty": 8.8 + } + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/ground_truth_full.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/ground_truth_full.json new file mode 100644 index 0000000000000000000000000000000000000000..6ec190aa7a271bdbebe70d3c1daf9d57685b133e --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/ground_truth_full.json @@ -0,0 +1,191 @@ +[ + { + "sheet": "Sheet1", + "col": "G", + "row": 2, + "formula": "=IF(E2>40,E2-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001", + "layer": 1 + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 3, + "formula": "=IF(E3>40,E3-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001", + "layer": 1 + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 4, + "formula": "=IF(E4>40,E4-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001", + "layer": 1 + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 5, + "formula": "=IF(E5>40,E5-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001", + "layer": 1 + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 6, + "formula": "=IF(E6>40,E6-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001", + "layer": 1 + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 7, + "formula": "=IF(E7>40,E7-40,0)", + "cached_value": 6.383333333333333, + "pattern_id": "pf_0001", + "layer": 1 + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 8, + "formula": "=IF(E8>40,E8-40,0)", + "cached_value": 18.53333333333333, + "pattern_id": "pf_0001", + "layer": 1 + }, + { + "sheet": "Sheet1", + "col": "E", + "row": 3, + "formula": "=D3+E2", + "cached_value": 24.233333333333334, + "pattern_id": "pf_0003", + "layer": 2 + }, + { + "sheet": "Sheet1", + "col": "E", + "row": 4, + "formula": "=D4+E3", + "cached_value": 24.233333333333334, + "pattern_id": "pf_0003", + "layer": 2 + }, + { + "sheet": "Sheet1", + "col": "E", + "row": 5, + "formula": "=D5+E4", + "cached_value": 24.233333333333334, + "pattern_id": "pf_0003", + "layer": 2 + }, + { + "sheet": "Sheet1", + "col": "E", + "row": 6, + "formula": "=D6+E5", + "cached_value": 34.25, + "pattern_id": "pf_0003", + "layer": 2 + }, + { + "sheet": "Sheet1", + "col": "E", + "row": 7, + "formula": "=D7+E6", + "cached_value": 46.38333333333333, + "pattern_id": "pf_0003", + "layer": 2 + }, + { + "sheet": "Sheet1", + "col": "E", + "row": 8, + "formula": "=SUM(D2:D8)", + "cached_value": 58.53333333333333, + "pattern_id": "pf_0005", + "layer": 2 + }, + { + "sheet": "Sheet1", + "col": "E", + "row": 2, + "formula": "=D2", + "cached_value": 12.133333333333333, + "pattern_id": "pf_0006", + "layer": 2 + }, + { + "sheet": "Sheet1", + "col": "D", + "row": 2, + "formula": "=((C2-B2)+(C240,E2-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 3, + "formula": "=IF(E3>40,E3-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 4, + "formula": "=IF(E4>40,E4-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 5, + "formula": "=IF(E5>40,E5-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 6, + "formula": "=IF(E6>40,E6-40,0)", + "cached_value": 0, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 7, + "formula": "=IF(E7>40,E7-40,0)", + "cached_value": 6.383333333333333, + "pattern_id": "pf_0001" + }, + { + "sheet": "Sheet1", + "col": "G", + "row": 8, + "formula": "=IF(E8>40,E8-40,0)", + "cached_value": 18.53333333333333, + "pattern_id": "pf_0001" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..db3b5c9305a6b58c9ae7850b3bfbbe237a640d94 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/layers.json @@ -0,0 +1,135 @@ +{ + "dag_id": "dag_36fa8cd941df", + "file_id": "732838d1621265636-regular-ot-double-time-and-40-hrs-week-ot-sample", + "category": "single_sheet", + "surface_category": "single_sheet", + "effective_category": "single_sheet", + "depth": 3, + "quality": { + "chain_error_cells": 0, + "chain_external_cells": 0, + "is_clean": true + }, + "layers": [ + { + "layer_index": 1, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00001" + ], + "sheet": "Sheet1", + "col": "G", + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8 + ], + "row_ranges": "2-8", + "row_count": 7, + "pattern_id": "pf_0001", + "normalized_pattern": "=IF([C-2,R]>40,[C-2,R]-40,0)", + "sample_formula": "=IF(E2>40,E2-40,0)" + } + ], + "new_eval_cells": 7, + "total_masked_cells": 7 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00003" + ], + "sheet": "Sheet1", + "col": "E", + "rows": [ + 3, + 4, + 5, + 6, + 7 + ], + "row_ranges": "3-7", + "row_count": 5, + "pattern_id": "pf_0003", + "normalized_pattern": "=[C-1,R]+[C,R-1]", + "sample_formula": "=D3+E2" + }, + { + "region_ids": [ + "rg_00005" + ], + "sheet": "Sheet1", + "col": "E", + "rows": [ + 8 + ], + "row_ranges": "8", + "row_count": 1, + "pattern_id": "pf_0005", + "normalized_pattern": "=SUM([C-1,R-6]:[C-1,R])", + "sample_formula": "=SUM(D2:D8)" + }, + { + "region_ids": [ + "rg_00007" + ], + "sheet": "Sheet1", + "col": "E", + "rows": [ + 2 + ], + "row_ranges": "2", + "row_count": 1, + "pattern_id": "pf_0006", + "normalized_pattern": "=[C-1,R]", + "sample_formula": "=D2" + } + ], + "new_eval_cells": 7, + "total_masked_cells": 14 + }, + { + "layer_index": 3, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00000" + ], + "sheet": "Sheet1", + "col": "D", + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8 + ], + "row_ranges": "2-8", + "row_count": 7, + "pattern_id": "pf_0000", + "normalized_pattern": "=(([C-1,R]-[C-2,R])+([C-1,R]<[C-2,R]))*24", + "sample_formula": "=((C2-B2)+(C2 40 Hours column. Please complete the blank entries in the OT > 40 Hours column for rows 2 through 8 (G2:G8). The daily and weekly hour fields are part of the same record, so those figures need to be in place for the overtime-over-40 entries to make sense. When you’re done, please save the completed file as an .xlsx.", + "prompt_cn": "Sheet1 是一张工时记录表，包含 Date、Punch In、Punch Out、Daily Hours、Weekly Hours、Daily OT Hours，以及 OT > 40 Hours 列。请补全 OT > 40 Hours 列中第 2 行到第 8 行的空白项（G2:G8）。Daily Hours 和 Weekly Hours 这些字段属于同一份记录，因此这些工时信息到位后，OT > 40 Hours 的内容才会完整。完成后，请将文件保存为 .xlsx 格式。", + "quality_notes": "The prompt identifies the single sheet, visible headers, and the exact target range while avoiding formulas, computation terms, and explicit operational hints. It mentions the dependency context only in natural business terms and ends with the required save instruction.", + "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": 5.5, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..dfba8eeb92d36445c5a553dba67d801ef9d5922c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: clean chain mask over real cells, GT is consistent, and the task is solvable from visible time-entry structure despite some minor inference required.", + "D1": { + "score": 5, + "reason": "All 21 contract cells are real cells within the sheet range and are truly masked. The mask boundary is clean with no extra masked cells and no contract misses. There is no trivially copyable same-column exemplar for G, D, or E; visible adjacent formulas in F/K/H provide structural clues but do not make the answer zero-reasoning copyable." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas =IF(E>40,E-40,0) are deterministic and match the cached values when the weekly-hours chain is evaluated. The cached overtime values for rows 7 and 8 are consistent with cumulative weekly hours exceeding 40." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the target range G2:G8 and explains that daily and weekly hour fields are part of the same record. It is mostly unambiguous, though it does not explicitly state the exact daily-hours or weekly cumulative formulas, leaving some reconstruction to the solver." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the prompt, the dependency chain is reconstructible: Date/Punch In/Punch Out plus the Daily Hours header support deriving D; the Weekly Hours header and one-week daily record support cumulative weekly hours in E; and the 'OT > 40 Hours' header directly exposes the 40-hour threshold for G. Visible formulas in F, K, H, J, and L confirm that D is numeric hours and that weekly/daily overtime columns interact with these masked fields. Minor ambiguity remains around exact boundary handling for blank punches or overnight punches, but the root evidence for the current rows is largely present.", + "d4_type": "ok" + }, + "D5": { + "score": 4, + "reason": "The source sheet is generally sound: headers are meaningful, formulas are deterministic, and there are no apparent circular or broken references in the relevant chain. There are some odd or inconsistent formulas/hardcoded values in adjacent Daily OT Hours cells, but they do not corrupt the D/E/G target chain." + }, + "D6": { + "score": 5, + "reason": "The NL prompt sounds like a plausible workplace request, avoids benchmark jargon, and naturally describes the spreadsheet and desired completion." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality single-sheet chain task with clean masking, correct GT, and sufficient visible evidence. Minor inferential ambiguity does not undermine solvability.", + "frontier_hardness": { + "score": 2, + "reason": "Although the task has a three-layer chain, it is single-sheet and uses familiar time-entry logic with clear headers and visible structural clues. A frontier model should likely reconstruct the daily hours, cumulative weekly hours, and over-40 overtime calculation successfully.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 17335, + "_timing_load_workbooks": 0.02, + "_timing_context": 0.0, + "_timing_api": 77.8, + "local_difficulty": { + "difficulty_score": 60.0, + "difficulty": "hard", + "depth": 3, + "total_masked": 21, + "is_cross_sheet": false, + "unique_patterns": 5, + "avg_complexity": 9, + "cross_refs": 0, + "visible_exemplar_ratio": 0.125 + }, + "task_id": "single_sheet__dag_36fa8cd941df", + "elapsed": 77.8, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..5d54b02d2fffc3ba28f1623edd92c925cc8e2732 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..f4ca4533e8571ace997e870a5ccdf612b6819c1c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/target_contract.json @@ -0,0 +1,87 @@ +{ + "task_id": "single_sheet__dag_36fa8cd941df", + "category": "single_sheet", + "depth": 3, + "final_target": { + "regions": [ + { + "sheet": "Sheet1", + "column": "G", + "column_header": "OT > 40 Hours", + "cell_range": "G2:G8", + "cell_count": 7, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 7, + "formula_families": [ + "conditional" + ] + }, + "prerequisite_steps": [ + { + "layer": 3, + "regions": [ + { + "sheet": "Sheet1", + "column": "D", + "column_header": "Daily Hours", + "cell_range": "D2:D8", + "cell_count": 7, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 7 + }, + { + "layer": 2, + "regions": [ + { + "sheet": "Sheet1", + "column": "E", + "column_header": "Weekly Hours", + "cell_range": "E2:E8", + "cell_count": 7, + "rows": [ + 2, + 3, + 4, + 5, + 6, + 7, + 8 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 7 + } + ], + "total_prerequisite_cells": 14, + "total_masked_cells": 21, + "ratio_total_vs_final": 3.0, + "sheets_involved": [ + "Sheet1" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..57d2844af6a9891e9241d69657ee20297ccd40fb --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01534/task_meta.json @@ -0,0 +1,60 @@ +{ + "fcb_id": "FCB-01534", + "task_id": "single_sheet__dag_36fa8cd941df", + "tier": "T2_HARD", + "category": "single_sheet", + "depth": 3, + "total_masked": 21, + "is_cross_sheet": false, + "prompt_en": "Sheet1 is a time-entry record with Date, Punch In, Punch Out, Daily Hours, Weekly Hours, Daily OT Hours, and an OT > 40 Hours column. Please complete the blank entries in the OT > 40 Hours column for rows 2 through 8 (G2:G8). The daily and weekly hour fields are part of the same record, so those figures need to be in place for the overtime-over-40 entries to make sense. When you’re done, please save the completed file as an .xlsx.", + "prompt_cn": "Sheet1 是一张工时记录表，包含 Date、Punch In、Punch Out、Daily Hours、Weekly Hours、Daily OT Hours，以及 OT > 40 Hours 列。请补全 OT > 40 Hours 列中第 2 行到第 8 行的空白项（G2:G8）。Daily Hours 和 Weekly Hours 这些字段属于同一份记录，因此这些工时信息到位后，OT > 40 Hours 的内容才会完整。完成后，请将文件保存为 .xlsx 格式。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 4, + "D6": 5, + "frontier_hardness": 2, + "local_difficulty": 60.0 + }, + "source_file_id": "732838d1621265636-regular-ot-double-time-and-40-hrs-week-ot-sample", + "inferred_domain": "general", + "domain_confidence": 0.0, + "sheet_profiles": [ + { + "name": "Sheet1", + "used_range": "A1:R8", + "row_count": 8, + "col_count": 18, + "has_header": true, + "title_hint": "Sheet1", + "header_info": { + "sheet": "Sheet1", + "header_row": 1, + "headers": { + "A": "Date", + "B": "Punch\nIn", + "C": "Punch\nOut", + "D": "Daily Hours", + "E": "Weekly Hours", + "F": "Daily\nOT Hours", + "G": "OT > 40 Hours", + "H": "Weekly Regular OT Hours", + "I": "Paid OT Hours", + "J": "Weekly Unpaid \nOT Hours", + "K": "Daily \nDouble OT Hours", + "L": "OT Hours \n> 12 \n(2x Regular Hourly Rate)", + "M": "[Person_1]", + "N": "OT \nRate", + "O": "Double \nOT Rate", + "P": "Daily OT\nOwed", + "Q": "Daily Double OT Owed", + "R": "Total \nOT Owed" + } + } + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..a31dc932422d7abfb376fc236ee4b7c4c75a18c9 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/audit.json @@ -0,0 +1,438 @@ +{ + "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 11 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=6023B, src=10508B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=3.8 (total=42, final=11)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "18 unique values across 42 cells" + }, + { + "check": "tail_artifact", + "pass": true, + "detail": "0 bad values" + }, + { + "check": "unrecoverable_leaf", + "pass": true, + "detail": "clean", + "hidden_const_cells": [] + }, + { + "check": "adjacent_column_leak", + "pass": true, + "detail": "clean" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": 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"2024-03-30 00:00:00", + "pattern_id": "pf_0001", + "layer": 3 + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/ground_truth_target.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/ground_truth_target.json new file mode 100644 index 0000000000000000000000000000000000000000..61cf9e11cfb7a3841d102959c179410b83398395 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/ground_truth_target.json @@ -0,0 +1,90 @@ +[ + { + "sheet": "Blad1", + "col": "E", + "row": 3, + "formula": "=D3-B3", + "cached_value": 64, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 4, + "formula": "=D4-B4", + "cached_value": 57, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 5, + "formula": "=D5-B5", + "cached_value": 50, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 6, + "formula": "=D6-B6", + "cached_value": 43, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 7, + "formula": "=D7-B7", + "cached_value": 36, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 8, + "formula": "=D8-B8", + "cached_value": 57, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 9, + "formula": "=D9-B9", + "cached_value": 50, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 10, + "formula": "=D10-B10", + "cached_value": 43, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 11, + "formula": "=D11-B11", + "cached_value": 36, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 12, + "formula": "=D12-B12", + "cached_value": 57, + "pattern_id": "pf_0002" + }, + { + "sheet": "Blad1", + "col": "E", + "row": 13, + "formula": "=D13-B13", + "cached_value": 50, + "pattern_id": "pf_0002" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..585004ac00bbb5b25c14fed7c09b4c2bbe3b6da5 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/layers.json @@ -0,0 +1,144 @@ +{ + "dag_id": "dag_49b13df92378", + "file_id": "862338d1710090967-calculating-dates-for-invoices-eomonth-paymentcond", + "category": "single_sheet", + "surface_category": "single_sheet", + "effective_category": "single_sheet", + "depth": 3, + "quality": { + "chain_error_cells": 0, + "chain_external_cells": 0, + "is_clean": true + }, + "layers": [ + { + "layer_index": 1, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00005" + ], + "sheet": "Blad1", + "col": "E", + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13 + ], + "row_ranges": "3-13", + "row_count": 11, + "pattern_id": "pf_0002", + "normalized_pattern": "=[C-1,R]-[C-3,R]", + "sample_formula": "=D3-B3" + } + ], + "new_eval_cells": 11, + "total_masked_cells": 11 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00008" + ], + "sheet": "Blad1", + "col": "B", + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13 + ], + "row_ranges": "7-13", + "row_count": 7, + "pattern_id": "pf_0005", + "normalized_pattern": "=+[C,R-1]+7", + "sample_formula": "=+B6+7" + }, + { + "region_ids": [ + "rg_00000", + "rg_00001" + ], + "sheet": "Blad1", + "col": "D", + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 15 + ], + "row_ranges": "3-13,15", + "row_count": 12, + "pattern_id": "pf_0000", + "normalized_pattern": "=+[C-1,R]-WEEKDAY([C-1,R],16)+7", + "sample_formula": "=+C3-WEEKDAY(C3,16)+7" + } + ], + "new_eval_cells": 19, + "total_masked_cells": 30 + }, + { + "layer_index": 3, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00003", + "rg_00004" + ], + "sheet": "Blad1", + "col": "C", + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 15 + ], + "row_ranges": "3-13,15", + "row_count": 12, + "pattern_id": "pf_0001", + "normalized_pattern": "=+EOMONTH([C-1,R],0)+30", + "sample_formula": "=+EOMONTH(B3,0)+30" + } + ], + "new_eval_cells": 12, + "total_masked_cells": 42 + } + ], + "sink": { + "region_id": "rg_00005", + "sheet": "Blad1", + "col": "E", + "pattern_id": "pf_0002", + "row_count": 11, + "family_size": 11 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..2b19ff169cb13946e998ee4cc2577185ef1f6a56 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..e94102824b289b31ae21e65210cca950c18a8afa --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "single_sheet__dag_49b13df92378", + "prompt_en": "The finance schedule on Blad1 is laid out around Date, EOM + 30, pay sub cont, actual days, and EOM + 45 for the fiscal year close-out review. Please fill in the missing entries in the actual days column, located in E3:E13. Those actual days entries sit among the other payment-timing fields, so the related timing information needs to be in place for the later columns to make sense. Save the completed file as an .xlsx workbook.", + "prompt_cn": "Blad1 上的这张财务进度表围绕 Date、EOM + 30、pay sub cont、actual days 和 EOM + 45 展开，用于财政年度收尾 review。请补全 actual days 列中缺失的内容，位置是 E3:E13。actual days 位于其他付款时间字段之间，因此相关的时间信息需要填写完整，后面的列才会有意义。请将完成后的文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt identifies the sheet, visible headers, business context, and target range without giving calculation or formula hints. It also mentions the dependency context naturally and ends with the required save instruction.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 7.9, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..8edfc531e7ce1ddeb8d88f0c3c9ea96e1400447c --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT: Masking is clean, GT is consistent, and the dependency chain is reconstructible from visible analogous timing columns and headers.", + "D1": { + "score": 5, + "reason": "All 42 contract cells are real cells within the 15-row sheet, all were truly masked, no contract cells were missed, and there is no extra masking outside the contract. Visible formulas in G:I provide analogous structural clues, but the EOM+30 side still requires adapting the EOM+45 pattern and reconstructing dependencies rather than blindly copying a same-column formula." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas E3:E13 consistently compute actual days as pay sub cont minus Date using =Drow-Brow. Cached values align with the visible source formulas for dates, EOM+30, and payment adjustment logic. The formulas are deterministic and contain no volatile or ambiguous behavior." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the final target range E3:E13 and the relevant fields. It is understandable, though it only indirectly signals that related timing fields need to be restored for the target calculations, rather than explicitly saying that prerequisite blanks must also be reconstructed." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the prompt, the task is solvable. Headers expose Date, EOM + 30, pay sub cont, actual days, and the parallel EOM + 45 block. Visible formulas in G:I provide strong exemplars for EOMONTH-based dates, pay-sub-cont adjustment, and actual-days subtraction. B3:B6 show a weekly date cadence, allowing B7:B13 to be inferred. The main minor gap is that the missing Date continuation formula is not explicitly visible, so the solver must infer the weekly sequence from existing dates and layout.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source spreadsheet appears structurally sound: formulas are coherent, references are internal and valid, there are no circular or broken references indicated, and headers are meaningful and consistent across the two timing blocks." + }, + "D6": { + "score": 4, + "reason": "The request sounds mostly natural for a finance workflow and avoids benchmark jargon. It is slightly generic and somewhat indirect about prerequisite fields, but still reads like a plausible workplace instruction." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task with clean masking, correct GT, and sufficient visible evidence for reconstructing the dependency chain. The only minor weakness is that the NL does not explicitly mention filling prerequisite blanks, but the chain is still inferable from the sheet structure.", + "frontier_hardness": { + "score": 2, + "reason": "A frontier model should likely succeed. The task has a depth-3 chain and several formulas to reconstruct, but the parallel EOM + 45 block provides very strong visible exemplars, and the weekly Date sequence is straightforward from B3:B6.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 23681, + "_timing_load_workbooks": 0.02, + "_timing_context": 0.0, + "_timing_api": 124.27, + "local_difficulty": { + "difficulty_score": 56.5, + "difficulty": "medium", + "depth": 3, + "total_masked": 42, + "is_cross_sheet": false, + "unique_patterns": 4, + "avg_complexity": 7, + "cross_refs": 0, + "visible_exemplar_ratio": 0.083 + }, + "task_id": "single_sheet__dag_49b13df92378", + "elapsed": 124.3, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..2cd51b1d2d53f6611a6b2ea10b4dac7a167ec293 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..5fcfcbe55faefdb3581c09393e9b471adfd3bdfd --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/target_contract.json @@ -0,0 +1,119 @@ +{ + "task_id": "single_sheet__dag_49b13df92378", + "category": "single_sheet", + "depth": 3, + "final_target": { + "regions": [ + { + "sheet": "Blad1", + "column": "E", + "column_header": "actual days", + "cell_range": "E3:E13", + "cell_count": 11, + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 11, + "formula_families": [ + "arithmetic" + ] + }, + "prerequisite_steps": [ + { + "layer": 3, + "regions": [ + { + "sheet": "Blad1", + "column": "C", + "column_header": "EOM + 30", + "cell_range": "C3:C13, C15", + "cell_count": 12, + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 15 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 12 + }, + { + "layer": 2, + "regions": [ + { + "sheet": "Blad1", + "column": "B", + "column_header": "Date", + "cell_range": "B7:B13", + "cell_count": 7, + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13 + ], + "first_row_label": "", + "last_row_label": "" + }, + { + "sheet": "Blad1", + "column": "D", + "column_header": "pay sub cont", + "cell_range": "D3:D13, D15", + "cell_count": 12, + "rows": [ + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 15 + ], + "first_row_label": "", + "last_row_label": "" + } + ], + "cell_count": 19 + } + ], + "total_prerequisite_cells": 31, + "total_masked_cells": 42, + "ratio_total_vs_final": 3.8, + "sheets_involved": [ + "Blad1" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..dc49ad9e6a1ac067ab2e3687e96d53e9e3e15f7b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01562/task_meta.json @@ -0,0 +1,49 @@ +{ + "fcb_id": "FCB-01562", + "task_id": "single_sheet__dag_49b13df92378", + "tier": "T2_HARD", + "category": "single_sheet", + "depth": 3, + "total_masked": 42, + "is_cross_sheet": false, + "prompt_en": "The finance schedule on Blad1 is laid out around Date, EOM + 30, pay sub cont, actual days, and EOM + 45 for the fiscal year close-out review. Please fill in the missing entries in the actual days column, located in E3:E13. Those actual days entries sit among the other payment-timing fields, so the related timing information needs to be in place for the later columns to make sense. Save the completed file as an .xlsx workbook.", + "prompt_cn": "Blad1 上的这张财务进度表围绕 Date、EOM + 30、pay sub cont、actual days 和 EOM + 45 展开，用于财政年度收尾 review。请补全 actual days 列中缺失的内容，位置是 E3:E13。actual days 位于其他付款时间字段之间，因此相关的时间信息需要填写完整，后面的列才会有意义。请将完成后的文件保存为 .xlsx 工作簿。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 2, + "local_difficulty": 56.5 + }, + "source_file_id": "862338d1710090967-calculating-dates-for-invoices-eomonth-paymentcond", + "inferred_domain": "finance", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "Blad1", + "used_range": "B2:I15", + "row_count": 14, + "col_count": 8, + "has_header": true, + "title_hint": "Blad1", + "header_info": { + "sheet": "Blad1", + "header_row": 2, + "headers": { + "B": "Date", + "C": "EOM + 30", + "D": "pay sub cont", + "E": "actual days", + "G": "EOM + 45", + "H": "pay sub cont", + "I": "actual days" + } + } + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..068fb2309e7671417679d08c27205d34773aed77 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/audit.json @@ -0,0 +1,432 @@ +{ + "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 240 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=234435B, src=333088B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=3.0 (total=719, final=240)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "251 unique values across 719 cells" + }, + { + "check": "tail_artifact", + "pass": true, + "detail": "0 bad values" + }, + { + "check": "unrecoverable_leaf", + "pass": true, + "detail": "clean", + "hidden_const_cells": [] + }, + { + "check": "adjacent_column_leak", + "pass": true, + "detail": "clean" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "detail": "no lookup formulas" + }, + { + "check": "src_chain_integrity", + "pass": true, + "severity": "ok", + "detail": "clean", + "sub_checks": { + "error_cells": { + "pass": true, + "count": 0, + "cells": [] + }, + "external_refs": { + "pass": true, + "count": 0, + "cells": [] + }, + "volatile_funcs": { + "pass": true, + "count": 0, + "cells": [] + }, + "missing_sheets": { + "pass": true, + "count": 0, + "sheets": [] + }, + "circular_refs": { + "pass": true, + "cycle_cells": [] + } + } + }, + { + "check": "uniqueness_deep", + "pass": true, + "severity": "ok", + "detail": "clean" + } + ] + }, + "post_nl_validate": { + "validate_label": "SOFT_WARN", + "validate_pass": true, + "hard_fails": 0, + "soft_warns": 1, + "checks": [ + { + "check": "cell_range_match", + "pass": false, + "detail": "contract=3, prompt=3, missing=2", + "missing_ranges": [ + "A19:A257", + "C18:C257" + ], + "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=2, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": true, + "detail": "contract=['CALC'], 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 240 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": true, + "detail": "no cross-sheet refs in GT", + "severity": "OK" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 3 col groups; CONFLICTS: CALC!A14: visible='=TODAY()' vs GT pattern='=EDATE(A#,#)'" + }, + { + "check": 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0000000000000000000000000000000000000000..b104075fd3b4618f36d7d214667f4f108e3726c3 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "single_sheet__dag_8953b32abda2", + "prompt_en": "The CALC sheet is an operations workbook with sections labeled Int Rates Curve, Forward Power Price Curves, Volatilities and Price Profile, and power market labels like REGION 11, SP15, REGION 10, NP15, PEAK, and OFF-PEAK. The blank entries that need attention are in the Qtr column on CALC, specifically D18:D257, alongside the existing curve and pricing fields such as Bid, Mid, Offer, and ($/MWH). Some of the related blank fields in the sheet may need to be in place before the Qtr entries are meaningful, so please complete the workbook consistently with the visible layout and labels. Save the completed file as an .xlsx workbook.", + "prompt_cn": "CALC 工作表是一份运营相关的工作簿，里面有 Int Rates Curve、Forward Power Price Curves、Volatilities and Price Profile 等区块，也包含 REGION 11、SP15、REGION 10、NP15、PEAK、OFF-PEAK 等电力市场标签。需要补全的是 CALC 表中的 Qtr 列，范围是 D18:D257，这些单元格位于 Bid、Mid、Offer、($/MWH) 等曲线和价格字段旁边。表中有些相关的空白字段可能需要先补齐，Qtr 列的内容才会完整合理，所以请根据可见的版式和标签把工作簿补充一致。请将完成后的文件保存为 .xlsx 工作簿。", + "quality_notes": "The prompt identifies the sheet, target column, and range while staying within the visible workbook labels. It avoids formulas, operational hints, and explicit calculation language, and includes a natural note about related blanks feeding into the final entries.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 5, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 5, + "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": 28.3, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..3073476652ed7ad12c03bdcdcbcbd4466a7c88f3 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "CORRECT — clean chain-masked task with real cells, correct GT, and sufficient visible structure to reconstruct the month-to-quarter chain.", + "D1": { + "score": 5, + "reason": "All 719 contract cells are real in-sheet cells within CALC's populated range. The mask diff is clean: all contract cells truly masked, no contract misses, and no extra masked cells. The formula-cache-missing entries are preserved formulas/caches and not additional masking. There is no trivial same-column formula leakage for the final D target; visible structure provides clues but not a zero-reasoning copy operation." + }, + "D2": { + "score": 5, + "reason": "The layer-1 GT formulas are consistent and correct: each D row maps the numeric month in C to calendar quarter using the standard <4/<7/<10 thresholds. Cached values shown for sampled rows match the corresponding month sequence. The formulas are deterministic for the target cells." + }, + "D3": { + "score": 4, + "reason": "The NL clearly identifies the final target range D18:D257 in the Qtr column on CALC and indicates that related blanks may need to be completed. It is somewhat vague about the prerequisite A and C columns, which are not explicitly named as required, but the instruction is understandable in context." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the prompt, the dependency chain is reconstructible. The visible headers show Delivery Month, Year, Month, and Qtr; A18 contains the starting date; B shows the year progression; and surrounding visible formulas/values provide strong structural evidence that the rows represent a monthly sequence. From that, C can be inferred as the month number and D as the calendar quarter. The main gap is that the prerequisite ranges A and C are not explicitly described in the NL and no direct D formula exemplar remains visible, so some inference is required, but no hidden constant or impossible dependency is present.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source workbook appears internally consistent for this task. The relevant CALC section has coherent headers, a regular monthly date series, year/month/quarter derivations, and adjacent operational fields. No evidence of corrupted values, phantom references, circularity, or broken formulas is present in the provided source context." + }, + "D6": { + "score": 4, + "reason": "The NL sounds mostly like a realistic workbook-cleanup request and avoids benchmark jargon. It is a bit over-descriptive and generic in listing workbook labels, but still natural enough for a workplace setting." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task: clean masking, correct GT, real cells, and solvable dependency reconstruction. Minor NL vagueness around prerequisite columns does not prevent solving.", + "frontier_hardness": { + "score": 2, + "reason": "Despite the large number of cells and depth-3 chain, the actual logic is simple: build a monthly date sequence, derive month number, then derive quarter. A frontier model should likely infer the pattern from headers, A18, visible year progression, and surrounding table structure.", + "fail_reason": "easy", + "is_valid_hardness": false + }, + "_prompt_chars": 285392, + "_timing_load_workbooks": 1.53, + "_timing_context": 0.52, + "_timing_api": 60.55, + "local_difficulty": { + "difficulty_score": 62.6, + "difficulty": "hard", + "depth": 3, + "total_masked": 719, + "is_cross_sheet": false, + "unique_patterns": 3, + "avg_complexity": 10, + "cross_refs": 0, + "visible_exemplar_ratio": 0.036 + }, + "task_id": "single_sheet__dag_8953b32abda2", + "elapsed": 62.6, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/target_contract.json new file mode 100644 index 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3.0, + "sheets_involved": [ + "CALC" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..64baf9e2beda16fc381ff8d035da606394c90b0b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01668/task_meta.json @@ -0,0 +1,91 @@ +{ + "fcb_id": "FCB-01668", + "task_id": "single_sheet__dag_8953b32abda2", + "tier": "T2_HARD", + "category": "single_sheet", + "depth": 3, + "total_masked": 719, + "is_cross_sheet": false, + "prompt_en": "The CALC sheet is an operations workbook with sections labeled Int Rates Curve, Forward Power Price Curves, Volatilities and Price Profile, and power market labels like REGION 11, SP15, REGION 10, NP15, PEAK, and OFF-PEAK. The blank entries that need attention are in the Qtr column on CALC, specifically D18:D257, alongside the existing curve and pricing fields such as Bid, Mid, Offer, and ($/MWH). Some of the related blank fields in the sheet may need to be in place before the Qtr entries are meaningful, so please complete the workbook consistently with the visible layout and labels. Save the completed file as an .xlsx workbook.", + "prompt_cn": "CALC 工作表是一份运营相关的工作簿，里面有 Int Rates Curve、Forward Power Price Curves、Volatilities and Price Profile 等区块，也包含 REGION 11、SP15、REGION 10、NP15、PEAK、OFF-PEAK 等电力市场标签。需要补全的是 CALC 表中的 Qtr 列，范围是 D18:D257，这些单元格位于 Bid、Mid、Offer、($/MWH) 等曲线和价格字段旁边。表中有些相关的空白字段可能需要先补齐，Qtr 列的内容才会完整合理，所以请根据可见的版式和标签把工作簿补充一致。请将完成后的文件保存为 .xlsx 工作簿。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 2, + "local_difficulty": 62.6 + }, + "source_file_id": "jeff_dasovich__14133__LoadResource3", + "inferred_domain": "operations", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "SP-15", + "used_range": "A1:CD362", + "row_count": 362, + "col_count": 82, + "has_header": false, + "title_hint": "SP 15", + "header_info": null + }, + { + "name": "NP-15", + "used_range": "A1:CD362", + "row_count": 362, + "col_count": 82, + "has_header": false, + "title_hint": "NP 15", + "header_info": null + }, + { + "name": "CALC", + "used_range": "A2:U377", + "row_count": 376, + "col_count": 21, + "has_header": false, + "title_hint": "CALC", + "header_info": null + }, + { + "name": "PeakMonthlyAvg", + "used_range": "A7:AB84", + "row_count": 78, + "col_count": 28, + "has_header": false, + "title_hint": "PeakMonthlyAvg", + "header_info": null + }, + { + "name": "OffPeakMonthlyAvg", + "used_range": "A7:T84", + "row_count": 78, + "col_count": 20, + "has_header": false, + "title_hint": "OffPeakMonthlyAvg", + "header_info": null + }, + { + "name": "graphs", + "used_range": "A1:AC25", + "row_count": 25, + "col_count": 29, + "has_header": false, + "title_hint": "graphs", + "header_info": null + }, + { + "name": "_udcgen1999", + "used_range": "A2:AS59", + "row_count": 58, + "col_count": 45, + "has_header": false, + "title_hint": "udcgen1999", + "header_info": null + } + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/audit.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/audit.json new file mode 100644 index 0000000000000000000000000000000000000000..84148110f5abe132aba6371a93afa47ad921819f --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/audit.json @@ -0,0 +1,430 @@ +{ + "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 39 cells" + }, + { + "check": "header_grounding", + "pass": true, + "severity": "pass", + "detail": "1/1 final regions have column_header" + }, + { + "check": "mask_consistency", + "pass": true, + "detail": "mask_last=58340B, src=82410B" + }, + { + "check": "dirty_family", + "pass": true, + "detail": "0 dirty cells" + }, + { + "check": "ratio_gate", + "pass": true, + "detail": "ratio=4.0 (total=157, final=39)" + }, + { + "check": "dedup_gate", + "pass": true, + "detail": "0 duplicate cells across layers" + }, + { + "check": "gt_uniqueness", + "pass": true, + "detail": "156 unique values across 157 cells" + }, + { + "check": "tail_artifact", + "pass": true, + "detail": "0 bad values" + }, + { + "check": "unrecoverable_leaf", + "pass": true, + "detail": "clean", + "hidden_const_cells": [] + }, + { + "check": "adjacent_column_leak", + "pass": true, + "detail": "clean" + }, + { + "check": "header_name_accuracy", + "pass": true, + "detail": "clean" + }, + { + "check": "duplicate_lookup_tie_break", + "pass": true, + "detail": "no lookup formulas" + }, + { + "check": "src_chain_integrity", + "pass": true, + "severity": "ok", + "detail": "clean", + "sub_checks": { + "error_cells": { + "pass": true, + "count": 0, + "cells": [] + }, + "external_refs": { + "pass": true, + "count": 0, + "cells": [] + }, + "volatile_funcs": { + "pass": true, + "count": 0, + "cells": [] + }, + "missing_sheets": { + "pass": true, + "count": 0, + "sheets": [] + }, + "circular_refs": { + "pass": true, + "cycle_cells": [] + } + } + }, + { + "check": "uniqueness_deep", + "pass": true, + "severity": "ok", + "detail": "clean" + } + ] + }, + "post_nl_validate": { + "validate_label": "SOFT_WARN", + "validate_pass": true, + "hard_fails": 0, + "soft_warns": 1, + "checks": [ + { + "check": "cell_range_match", + "pass": false, + "detail": "contract=4, prompt=1, missing=1", + "missing_ranges": [ + "AV7:AV45" + ], + "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=2, no explicit steps found (v5 natural format)", + "severity": "OK" + }, + { + "check": "sheet_name_match", + "pass": true, + "detail": "contract=['DWR purchases'], 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 39 GT cells", + "severity": "OK" + }, + { + "check": "final_target_first", + "pass": true, + "detail": "no explicit final target marker (natural format)", + "severity": "OK" + }, + { + "check": "output_format", + "pass": true, + "detail": "output format found", + "severity": "OK" + }, + { + "check": "header_in_prompt", + "pass": true, + "detail": "no column headers found in prompt", + "severity": "OK" + }, + { + "check": "hint_specificity", + "pass": true, + "detail": "clean", + "severity": "OK" + }, + { + "check": "evidence_scope", + "pass": true, + "detail": "no cross-sheet refs in GT", + "severity": "OK" + }, + { + "check": "exemplar_consistency", + "pass": true, + "severity": "OK", + "detail": "checked 4 col groups; CONFLICTS: DWR purchases!I80: visible='=+I79+3' vs GT pattern='=+H#/G#*#'; DWR purchases!I81: visible='=+I80+3' vs GT pattern='=+H#/G#*#'" + }, + { + "check": "nl_gt_operation_consistency", + "pass": true, + "detail": "GT funcs: []", + "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 157 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": 157, + "total_non_none": 157, + "block_reasons": [], + "warnings": [], + "checks": { + "rank_tie_risk": { + 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"formula": "=(AW23*1.01625)+AV24", + "cached_value": -10275580.758736035, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 25, + "formula": "=(AW24*1.01625)+AV25", + "cached_value": -10497804.58793488, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 26, + "formula": "=(AW25*1.01625)+AV26", + "cached_value": -11157140.502218146, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 27, + "formula": "=(AW26*1.01625)+AV27", + "cached_value": -11703717.750763373, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 28, + "formula": "=(AW27*1.01625)+AV28", + "cached_value": -11976662.094013412, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 29, + "formula": "=(AW28*1.01625)+AV29", + "cached_value": -12404853.73318059, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 30, + "formula": "=(AW29*1.01625)+AV30", + "cached_value": -13044800.67609685, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 31, + "formula": "=(AW30*1.01625)+AV31", + "cached_value": -13578827.220450653, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 32, + "formula": "=(AW31*1.01625)+AV32", + "cached_value": -13867252.049973767, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 33, + "formula": "=(AW32*1.01625)+AV33", + "cached_value": -14309770.199272873, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 34, + "formula": "=(AW33*1.01625)+AV34", + "cached_value": -14941731.542446716, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 35, + "formula": "=(AW34*1.01625)+AV35", + "cached_value": -15499193.144770669, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 36, + "formula": "=(AW35*1.01625)+AV36", + "cached_value": -15834445.289756881, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 37, + "formula": "=(AW36*1.01625)+AV37", + "cached_value": -16312609.09038673, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 38, + "formula": "=(AW37*1.01625)+AV38", + "cached_value": -16924789.6520874, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 39, + "formula": "=(AW38*1.01625)+AV39", + "cached_value": -17494861.03057783, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 40, + "formula": "=(AW39*1.01625)+AV40", + "cached_value": -17857658.482017953, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 41, + "formula": "=(AW40*1.01625)+AV41", + "cached_value": -18350409.026626978, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 42, + "formula": "=(AW41*1.01625)+AV42", + "cached_value": -18819416.231238376, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 43, + "formula": "=(AW42*1.01625)+AV43", + "cached_value": -19386549.05158462, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 44, + "formula": "=(AW43*1.01625)+AV44", + "cached_value": -19775466.23347196, + "pattern_id": "pf_0008" + }, + { + "sheet": "DWR purchases", + "col": "AW", + "row": 45, + "formula": "=(AW44*1.01625)+AV45", + "cached_value": -20312203.943630807, + "pattern_id": "pf_0008" + } +] \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/layers.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/layers.json new file mode 100644 index 0000000000000000000000000000000000000000..f67e20e128305c47709d03ccc445427fb9637564 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/layers.json @@ -0,0 +1,257 @@ +{ + "dag_id": "dag_9514919a2a5f", + "file_id": "jeff_dasovich__14166__m010508i", + "category": "single_sheet", + "surface_category": "single_sheet", + "effective_category": "single_sheet", + "depth": 3, + "quality": { + "chain_error_cells": 0, + "chain_external_cells": 0, + "is_clean": true + }, + "layers": [ + { + "layer_index": 1, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00021" + ], + "sheet": "DWR purchases", + "col": "AW", + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "row_ranges": "7-45", + "row_count": 39, + "pattern_id": "pf_0008", + "normalized_pattern": "=([C,R-1]*1.01625)+[C-1,R]", + "sample_formula": "=(AW6*1.01625)+AV7" + } + ], + "new_eval_cells": 39, + "total_masked_cells": 39 + }, + { + "layer_index": 2, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00020" + ], + "sheet": "DWR purchases", + "col": "AV", + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "row_ranges": "7-45", + "row_count": 39, + "pattern_id": "pf_0007", + "normalized_pattern": "=+([C-45,R]*([C-43,R]-[C-39,R]))/1000", + "sample_formula": "=+(C7*(E7-I7))/1000" + } + ], + "new_eval_cells": 39, + "total_masked_cells": 78 + }, + { + "layer_index": 3, + "new_pattern_groups": [ + { + "region_ids": [ + "rg_00013" + ], + "sheet": "DWR purchases", + "col": "E", + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "row_ranges": "7-45", + "row_count": 39, + "pattern_id": "pf_0002", + "normalized_pattern": "=+[C-1,R]/[C-2,R]*1000", + "sample_formula": "=+D7/C7*1000" + }, + { + "region_ids": [ + "rg_00012" + ], + "sheet": "DWR purchases", + "col": "I", + "rows": [ + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "row_ranges": "6-45", + "row_count": 40, + "pattern_id": "pf_0002", + "normalized_pattern": "=+[C-1,R]/[C-2,R]*1000", + "sample_formula": "=+H6/G6*1000" + } + ], + "new_eval_cells": 79, + "total_masked_cells": 157 + } + ], + "sink": { + "region_id": "rg_00021", + "sheet": "DWR purchases", + "col": "AW", + "pattern_id": "pf_0008", + "row_count": 39, + "family_size": 39 + } +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/mask_last.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/mask_last.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..9def06acfb9e0adc2dda4ff387996c56bfec3e1e Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/mask_last.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/nl_task.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/nl_task.json new file mode 100644 index 0000000000000000000000000000000000000000..610e72228e3fd62efb70a41d4263570559efbe51 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/nl_task.json @@ -0,0 +1,26 @@ +{ + "task_id": "single_sheet__dag_9514919a2a5f", + "prompt_en": "The DWR purchases sheet is a Summary Table for revenue and rate-class analysis, with labels like Annual, Current, Revenue, New Total, New Rates, CONTRACTED, NON CONTRACTED, Mwh, Cost (000), Avg. Price, and the PG&E/SCE toggle-switch area. Please fill in the blank entries in the Cumulative plus 6.5% pa column on this sheet, specifically AW7:AW45. Some blank columns in the workbook feed into other blank columns, so the related entries on the sheet should be in place before this cumulative column is finalized. Save the completed workbook as an .xlsx file.", + "prompt_cn": "“DWR purchases”工作表是一张用于收入和费率类别分析的 Summary Table，里面有 Annual、Current、Revenue、New Total、New Rates、CONTRACTED、NON CONTRACTED、Mwh、Cost (000)、Avg. Price，以及 PG&E/SCE 的 Toggle switch 区域等标签。请填写该工作表中 Cumulative plus 6.5% pa 列的空白项，具体位置是 AW7:AW45。工作簿里有些空白列会衔接到其他空白列，所以在最终确认这一累计列之前，表内相关条目也需要先就位。请将完成后的工作簿保存为 .xlsx 文件。", + "quality_notes": "The prompt names the sheet, business context, visible labels, and exact target range while avoiding formulas and operational hints.", + "post_check_issues": [], + "prompt_mode": "minimal", + "hint_leakage": { + "score": 3, + "level": "low", + "max_possible": 100, + "dimensions": { + "operation_words": 0, + "cell_range_density": 3, + "step_by_step": 0, + "column_operation_mapping": 0, + "formula_pattern_hints": 0 + }, + "operation_words_found": [], + "cell_ranges_found": 1 + }, + "version": "v7", + "model": "gpt-5.5", + "elapsed": 18.3, + "attempt": 1 +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/release_qc.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/release_qc.json new file mode 100644 index 0000000000000000000000000000000000000000..cd672d323f2213496d17f2a3962ce9d5efc0d137 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/release_qc.json @@ -0,0 +1,58 @@ +{ + "binary": true, + "binary_reason": "Well-designed: clean chain mask, correct deterministic formulas, and enough visible headers/values to reconstruct the dependency chain.", + "D1": { + "score": 5, + "reason": "All 157 contract cells are truly masked, no contract cells are left unmasked, and there is no extra masking outside the contract. The masked ranges are real cells within the DWR purchases sheet. Formula-cache loss is correctly identified as an openpyxl artifact. No trivially copyable visible exemplar appears for the target formulas." + }, + "D2": { + "score": 5, + "reason": "The ground-truth AW formulas are consistent with the source structure: each row compounds the prior cumulative value by 1.01625 and adds that row's AV cash flow. The cached values align with the visible dependency formulas, e.g. AV7 derives from C7*(E7-I7)/1000 and AW7 then equals blank/zero AW6 compounded plus AV7. Formulas are deterministic and internally consistent." + }, + "D3": { + "score": 4, + "reason": "The prompt clearly identifies the target sheet, column, and exact range AW7:AW45. It also warns that related blank columns feed the cumulative column. However, it does not explicitly name the prerequisite blank ranges E, I, and AV, so the solver must infer them from the sheet context." + }, + "D4": { + "score": 4, + "reason": "Using only mask_last.xlsx and the NL prompt, the task is reconstructible. Headers show Mwh, Cost (000), Avg. Price, Price delta, Cash Flow (000), and Cumulative plus 6.5% pa. From these, E and I can reasonably be inferred as Cost/Mwh*1000, AU visibly provides the price delta values, AV can be inferred as Mwh times price delta divided by 1000, and AW can be inferred as a quarterly cumulative balance growing at 6.5% pa, i.e. 1 + 0.065/4. The main gap is that the exact AW recurrence and zero starting value at AW6 are not explicitly shown, but they are strongly implied by the quarterly rows and column label.", + "d4_type": "ok" + }, + "D5": { + "score": 5, + "reason": "The source spreadsheet appears sound for this task: formulas are coherent, dependencies are local and non-circular, cached values are consistent with formulas, and headers are meaningful enough to support the calculations. Minor spelling inconsistencies in labels do not affect data quality." + }, + "D6": { + "score": 4, + "reason": "The NL request sounds mostly like a realistic spreadsheet completion instruction, with sheet and range specified and practical save instructions. It is slightly verbose and benchmark-like in its broad description of labels and blank dependency columns." + }, + "total": 27, + "verdict": "RELEASE", + "verdict_reason": "High-quality task with clean masking, correct ground truth, and sufficient visible evidence for a difficult but solvable dependency-chain reconstruction.", + "frontier_hardness": { + "score": 3, + "reason": "This is moderately hard because the solver must reconstruct several interacting formulas across E/I, AV, and AW, including a quarterly compounding interpretation of 6.5% pa. However, the dependencies are all on one sheet, headers are informative, AU price-delta values are visible, and there are no hidden cross-sheet hops.", + "fail_reason": "deep_chain", + "is_valid_hardness": true + }, + "_prompt_chars": 62823, + "_timing_load_workbooks": 0.27, + "_timing_context": 0.92, + "_timing_api": 220.84, + "local_difficulty": { + "difficulty_score": 62.3, + "difficulty": "hard", + "depth": 3, + "total_masked": 157, + "is_cross_sheet": false, + "unique_patterns": 4, + "avg_complexity": 8, + "cross_refs": 0, + "visible_exemplar_ratio": 0.025 + }, + "task_id": "single_sheet__dag_9514919a2a5f", + "elapsed": 222.0, + "publish_decision": "YES", + "release_tier": "GOLD", + "hard_block_reasons": [] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/src.xlsx b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/src.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..8e75019cc7b49a6feaf8f66cb8f2b89a928ac318 Binary files /dev/null and b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/src.xlsx differ diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/target_contract.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/target_contract.json new file mode 100644 index 0000000000000000000000000000000000000000..6a3395eaa92f3c0716592f457830299d49f6ac55 --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/target_contract.json @@ -0,0 +1,234 @@ +{ + "task_id": "single_sheet__dag_9514919a2a5f", + "category": "single_sheet", + "depth": 3, + "final_target": { + "regions": [ + { + "sheet": "DWR purchases", + "column": "AW", + "column_header": "Cumulative plus 6.5% pa", + "cell_range": "AW7:AW45", + "cell_count": 39, + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "first_row_label": "Q2", + "last_row_label": "Q4" + } + ], + "cell_count": 39, + "formula_families": [ + "arithmetic" + ] + }, + "prerequisite_steps": [ + { + "layer": 3, + "regions": [ + { + "sheet": "DWR purchases", + "column": "E", + "column_header": "Avg. Price", + "cell_range": "E7:E45", + "cell_count": 39, + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "first_row_label": "Q2", + "last_row_label": "Q4" + }, + { + "sheet": "DWR purchases", + "column": "I", + "column_header": "Avg. Price", + "cell_range": "I6:I45", + "cell_count": 40, + "rows": [ + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "first_row_label": "Q1", + "last_row_label": "Q4" + } + ], + "cell_count": 79 + }, + { + "layer": 2, + "regions": [ + { + "sheet": "DWR purchases", + "column": "AV", + "column_header": "Cash Flow (000)", + "cell_range": "AV7:AV45", + "cell_count": 39, + "rows": [ + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19, + 20, + 21, + 22, + 23, + 24, + 25, + 26, + 27, + 28, + 29, + 30, + 31, + 32, + 33, + 34, + 35, + 36, + 37, + 38, + 39, + 40, + 41, + 42, + 43, + 44, + 45 + ], + "first_row_label": "Q2", + "last_row_label": "Q4" + } + ], + "cell_count": 39 + } + ], + "total_prerequisite_cells": 118, + "total_masked_cells": 157, + "ratio_total_vs_final": 4.0, + "sheets_involved": [ + "DWR purchases" + ] +} \ No newline at end of file diff --git a/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/task_meta.json b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/task_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..be1e9b0087159f8d44653580493da6d9222b5e4b --- /dev/null +++ b/FormulaCascade_Benchmark_eval_200/T2_HARD/internal/FCB-01690/task_meta.json @@ -0,0 +1,82 @@ +{ + "fcb_id": "FCB-01690", + "task_id": "single_sheet__dag_9514919a2a5f", + "tier": "T2_HARD", + "category": "single_sheet", + "depth": 3, + "total_masked": 157, + "is_cross_sheet": false, + "prompt_en": "The DWR purchases sheet is a Summary Table for revenue and rate-class analysis, with labels like Annual, Current, Revenue, New Total, New Rates, CONTRACTED, NON CONTRACTED, Mwh, Cost (000), Avg. Price, and the PG&E/SCE toggle-switch area. Please fill in the blank entries in the Cumulative plus 6.5% pa column on this sheet, specifically AW7:AW45. Some blank columns in the workbook feed into other blank columns, so the related entries on the sheet should be in place before this cumulative column is finalized. Save the completed workbook as an .xlsx file.", + "prompt_cn": "“DWR purchases”工作表是一张用于收入和费率类别分析的 Summary Table，里面有 Annual、Current、Revenue、New Total、New Rates、CONTRACTED、NON CONTRACTED、Mwh、Cost (000)、Avg. Price，以及 PG&E/SCE 的 Toggle switch 区域等标签。请填写该工作表中 Cumulative plus 6.5% pa 列的空白项，具体位置是 AW7:AW45。工作簿里有些空白列会衔接到其他空白列，所以在最终确认这一累计列之前，表内相关条目也需要先就位。请将完成后的工作簿保存为 .xlsx 文件。", + "qc": { + "total": 27, + "verdict": "RELEASE", + "D1": 5, + "D2": 5, + "D3": 4, + "D4": 4, + "D5": 5, + "D6": 4, + "frontier_hardness": 3, + "local_difficulty": 62.3 + }, + "source_file_id": "jeff_dasovich__14166__m010508i", + "inferred_domain": "data_analysis", + "domain_confidence": 0.5, + "sheet_profiles": [ + { + "name": "SDGE", + "used_range": "A3:Q107", + "row_count": 105, + "col_count": 17, + "has_header": false, + "title_hint": "SDGE", + "header_info": null + }, + { + "name": "DWR purchases", + "used_range": "A1:AX350", + "row_count": 350, + "col_count": 50, + "has_header": false, + "title_hint": "DWR purchases", + "header_info": null + }, + { + "name": "Summary Table", + "used_range": "A1:V34", + "row_count": 34, + "col_count": 22, + "has_header": false, + "title_hint": "Summary Table", + "header_info": null + }, + { + "name": "Core & Non-core", + "used_range": "A1:J102", + "row_count": 102, + "col_count": 10, + "has_header": false, + "title_hint": "Core & Non core", + "header_info": null + }, + { + "name": "PGE - Core Analysis", + "used_range": "A2:K87", + "row_count": 86, + "col_count": 11, + "has_header": false, + "title_hint": "PGE Core Analysis", + "header_info": null + }, + { + "name": "DWR contracted", + "used_range": "A1:AD76", + "row_count": 76, + "col_count": 30, + "has_header": false, + "title_hint": "DWR contracted", + "header_info": null + } + ] +} \ No newline at end of file