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FormulaCascade_Benchmark

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  1. .gitattributes +4 -0
  2. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/audit.json +449 -0
  3. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/ground_truth_full.json +128 -0
  4. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/ground_truth_target.json +58 -0
  5. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/nl_task.json +26 -0
  6. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/release_qc.json +57 -0
  7. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/target_contract.json +63 -0
  8. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/audit.json +505 -0
  9. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/ground_truth_full.json +596 -0
  10. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/ground_truth_target.json +522 -0
  11. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/layers.json +131 -0
  12. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/mask_last.xlsx +3 -0
  13. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/nl_task.json +26 -0
  14. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/release_qc.json +58 -0
  15. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/src.xlsx +3 -0
  16. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/target_contract.json +116 -0
  17. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/task_meta.json +80 -0
  18. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/audit.json +432 -0
  19. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/ground_truth_full.json +218 -0
  20. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/ground_truth_target.json +98 -0
  21. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/layers.json +89 -0
  22. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/mask_last.xlsx +3 -0
  23. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/nl_task.json +26 -0
  24. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/release_qc.json +58 -0
  25. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/src.xlsx +3 -0
  26. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/target_contract.json +74 -0
  27. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08362/task_meta.json +154 -0
  28. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/audit.json +481 -0
  29. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/ground_truth_full.json +110 -0
  30. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/ground_truth_target.json +50 -0
  31. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/layers.json +77 -0
  32. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/mask_last.xlsx +0 -0
  33. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/nl_task.json +26 -0
  34. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/release_qc.json +58 -0
  35. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/src.xlsx +0 -0
  36. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/target_contract.json +61 -0
  37. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/task_meta.json +55 -0
  38. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/audit.json +513 -0
  39. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/ground_truth_full.json +506 -0
  40. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/ground_truth_target.json +58 -0
  41. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/layers.json +205 -0
  42. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/mask_last.xlsx +0 -0
  43. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/nl_task.json +26 -0
  44. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/release_qc.json +58 -0
  45. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/src.xlsx +0 -0
  46. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/target_contract.json +171 -0
  47. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/task_meta.json +73 -0
  48. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/layers.json +266 -0
  49. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/mask_last.xlsx +0 -0
  50. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08496/src.xlsx +0 -0
.gitattributes CHANGED
@@ -231,3 +231,7 @@ FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/src.xlsx filter
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/audit.json ADDED
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/ground_truth_target.json ADDED
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/nl_task.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task_id": "cross_sheet__dag_d3d8551a5b78",
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+ "prompt_en": "The \"Power West Price Peak\" sheet sits alongside curve summary tabs like \"Curve Summary Temp\" and \"Curve Summary ALBERTA,\" with labels such as Report Date, West Peak Prices, Oct 01, Nov 01, Dec 01, West Off-Peak Prices, 2001 Total, Jan-Feb '02, Mar-Apr '02, MID-COLUMBIA, TenMinSpin, and West Daily Peak Prices. Please fill in the blank entries in the \"Cal-01\" column on \"Power West Price Peak,\" specifically M15:M21. Some of the monthly or period price fields elsewhere in the workbook may need to be in place before the Cal-01 entries are meaningful, so make sure the relevant visible workbook context is complete enough to support those cells. Save the completed file as an .xlsx file.",
4
+ "prompt_cn": "“Power West Price Peak”工作表与“Curve Summary Temp”和“Curve Summary ALBERTA”等曲线汇总页放在同一个工作簿中，表内可见的标签包括 Report Date、West Peak Prices、Oct 01、Nov 01、Dec 01、West Off-Peak Prices、2001 Total、Jan-Feb '02、Mar-Apr '02、MID-COLUMBIA、TenMinSpin 和 West Daily Peak Prices。请补齐“Power West Price Peak”工作表中“Cal-01”列的空白项，位置是 M15:M21。工作簿中其他月度或期间价格字段可能需要先补全，Cal-01 里的这些条目才有完整的上下文依据，因此请根据可见内容把相关信息补到足以支持这些单元格。完成后请将文件保存为 .xlsx 格式。",
5
+ "quality_notes": "The prompt identifies the relevant workbook context, sheet, column, and target range without giving formulas or operational hints. It mentions prerequisite context only in a natural, non-procedural way and avoids revealing any masked values.",
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+ "post_check_issues": [],
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+ "prompt_mode": "minimal",
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+ "operation_words_found": [],
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+ "version": "v7",
23
+ "model": "gpt-5.5",
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+ "elapsed": 84.0,
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+ "attempt": 3
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+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/release_qc.json ADDED
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1
+ {
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+ "binary": true,
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+ "binary_reason": "Well-designed overall: real in-range chained masks with visible structural evidence, though there are minor extra-masked cells outside the contract.",
4
+ "D1": {
5
+ "score": 4,
6
+ "reason": "All contract masked cells are real cells within the sheet range, and the depth-2 prerequisite masking is intentional. The needed patterns are visible through adjacent columns and surrounding rows, but not so trivially copyable that no chain reasoning is needed for the prerequisite M4:M10 average formulas. However, the diff summary reports 3 extra truly removed cells outside the contract, which is a mask-boundary cleanliness issue."
7
+ },
8
+ "D2": {
9
+ "score": 5,
10
+ "reason": "The GT layer-1 formulas M15:M21 consistently follow the visible row pattern of subtracting the off-peak/second block values from the upper block values, e.g. M15=M4-M26 through M21=M10-M32. The cached values align with those formulas, and the formulas are deterministic and unambiguous."
11
+ },
12
+ "D3": {
13
+ "score": 4,
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+ "reason": "The prompt clearly identifies the target sheet, column, and final target range M15:M21. It also hints that other period price fields may need to be completed first, which is compatible with the masked prerequisite cells. It is somewhat verbose and does not explicitly name M4:M10 or the P2 dependency, but it is not contradictory."
15
+ },
16
+ "D4": {
17
+ "score": 5,
18
+ "reason": "Using only mask_last.xlsx and the NL prompt, the task is reconstructible. For M15:M21, adjacent visible formulas in the same rows show the subtraction pattern, e.g. neighboring columns use current column upper-block value minus current column row 26:32 value. For M4:M10, surrounding visible formulas show the row-to-P2 mapping and the Cal-01 header sits between the monthly Sep-Dec columns; the adjacent monthly formulas reference P2 S:V, and other period columns show AVERAGE formulas, giving sufficient evidence to infer M4:M10 as averages over P2 S:V for the corresponding rows. Cross-sheet references to P2 are visible in surrounding cells, so no hidden constants or missing root evidence are required.",
19
+ "d4_type": "ok"
20
+ },
21
+ "D5": {
22
+ "score": 4,
23
+ "reason": "The relevant source data and formulas for this task appear sound, deterministic, and internally consistent. The workbook overview does show some #REF!-like headers on unrelated Tim sheets and generally sparse/legacy workbook structure, so the source is not perfectly clean globally, but there is no evidence of corruption or broken formulas affecting the target chain."
24
+ },
25
+ "D6": {
26
+ "score": 4,
27
+ "reason": "The NL request sounds broadly like a workplace spreadsheet completion request and avoids benchmark jargon. It is a bit overstuffed with workbook-context labels and slightly indirect about prerequisites, but still natural enough."
28
+ },
29
+ "total": 26,
30
+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality chained cross-sheet task with correct GT and sufficient visible evidence. Minor issues are the 3 extra masked cells outside the contract and somewhat verbose/vague NL, but neither undermines publishability.",
32
+ "frontier_hardness": {
33
+ "score": 2,
34
+ "reason": "This is a short depth-2 chain with only two formula patterns. A frontier model should likely infer the subtraction pattern for M15:M21 from adjacent formulas and reconstruct the Cal-01 average formulas from visible P2 references and neighboring period columns. Cross-sheet reasoning is present but straightforward.",
35
+ "fail_reason": "easy",
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+ "is_valid_hardness": false
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+ "_prompt_chars": 30757,
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+ "local_difficulty": {
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+ "elapsed": 432.2,
54
+ "publish_decision": "YES",
55
+ "release_tier": "SILVER",
56
+ "hard_block_reasons": []
57
+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/target_contract.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "task_id": "cross_sheet__dag_d3d8551a5b78",
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+ "category": "cross_sheet",
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+ "depth": 2,
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+ "final_target": {
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+ "regions": [
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+ "sheet": "Power West Price Peak",
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+ "cell_count": 7,
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+ "first_row_label": "MID-COLUMBIA",
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+ "last_row_label": "Mead"
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+ "cell_count": 7,
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+ "formula_families": [
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+ "arithmetic"
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+ "prerequisite_steps": [
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+ {
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+ "layer": 2,
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+ "sheet": "Power West Price Peak",
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+ ],
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+ "first_row_label": "MID-COLUMBIA",
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+ ],
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+ "cell_count": 7
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+ ],
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+ "total_prerequisite_cells": 7,
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+ "ratio_total_vs_final": 2.0,
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+ "sheets_involved": [
61
+ "Power West Price Peak"
62
+ ]
63
+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08340/audit.json ADDED
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1
+ {
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13
+ },
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+ {
15
+ "check": "header_grounding",
16
+ "pass": true,
17
+ "severity": "pass",
18
+ "detail": "1/1 final regions have column_header"
19
+ },
20
+ {
21
+ "check": "mask_consistency",
22
+ "pass": true,
23
+ "detail": "mask_last=166067B, src=213598B"
24
+ },
25
+ {
26
+ "check": "dirty_family",
27
+ "pass": true,
28
+ "detail": "0 dirty cells"
29
+ },
30
+ {
31
+ "check": "ratio_gate",
32
+ "pass": true,
33
+ "detail": "ratio=1.0 (total=66, final=65)"
34
+ },
35
+ {
36
+ "check": "dedup_gate",
37
+ "pass": true,
38
+ "detail": "0 duplicate cells across layers"
39
+ },
40
+ {
41
+ "check": "gt_uniqueness",
42
+ "pass": true,
43
+ "detail": "51 unique values across 65 cells"
44
+ },
45
+ {
46
+ "check": "tail_artifact",
47
+ "pass": true,
48
+ "detail": "0 bad values"
49
+ },
50
+ {
51
+ "check": "unrecoverable_leaf",
52
+ "pass": true,
53
+ "detail": "clean",
54
+ "hidden_const_cells": []
55
+ },
56
+ {
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+ "check": "adjacent_column_leak",
58
+ "pass": true,
59
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61
+ {
62
+ "check": "header_name_accuracy",
63
+ "pass": true,
64
+ "detail": "clean"
65
+ },
66
+ {
67
+ "check": "duplicate_lookup_tie_break",
68
+ "pass": true,
69
+ "detail": "no lookup formulas"
70
+ },
71
+ {
72
+ "check": "src_chain_integrity",
73
+ "pass": true,
74
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75
+ "detail": "clean",
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+ "sub_checks": {
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78
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80
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+ },
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+ "external_refs": {
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84
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+ },
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+ "volatile_funcs": {
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89
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90
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+ },
92
+ "missing_sheets": {
93
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94
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95
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96
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97
+ "circular_refs": {
98
+ "pass": true,
99
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100
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101
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102
+ },
103
+ {
104
+ "check": "uniqueness_deep",
105
+ "pass": true,
106
+ "severity": "ok",
107
+ "detail": "clean"
108
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109
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110
+ },
111
+ "post_nl_validate": {
112
+ "validate_label": "SOFT_WARN",
113
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114
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+ {
118
+ "check": "cell_range_match",
119
+ "pass": true,
120
+ "detail": "contract=2, prompt=1, missing=0",
121
+ "missing_ranges": [],
122
+ "severity": "OK"
123
+ },
124
+ {
125
+ "check": "cell_count_match",
126
+ "pass": true,
127
+ "detail": "no explicit total found; skipping (natural format)",
128
+ "severity": "OK"
129
+ },
130
+ {
131
+ "check": "step_count_match",
132
+ "pass": true,
133
+ "detail": "contract=1, no explicit steps found (v5 natural format)",
134
+ "severity": "OK"
135
+ },
136
+ {
137
+ "check": "sheet_name_match",
138
+ "pass": false,
139
+ "detail": "contract=['download platform', 'test working'], missing=['download platform']",
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+ "severity": "INFO"
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+ },
142
+ {
143
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144
+ "pass": true,
145
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147
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+ {
149
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155
+ "check": "final_target_first",
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161
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167
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169
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171
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173
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175
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179
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181
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183
+ },
184
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185
+ "check": "exemplar_consistency",
186
+ "pass": true,
187
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188
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195
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197
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201
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209
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214
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216
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+ "prompt_en": "The sales workbook has a \"test working\" sheet with UNITS lines organized around labels like Customer, Vehicle, Platform, Yosan, Actual, player, Quantity, Dollars, and the Summary- Variance context. Please fill in the missing entries in the Actual column on that sheet, specifically D4:D68. Some related blank fields in the workbook may need to be in place so the Actual column fits with the surrounding sales detail and variance summary. When you’re done, save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "这个销售工作簿里的“test working”工作表按 UNITS 展示了 Customer、Vehicle、Platform、Yosan、Actual、player、Quantity、Dollars 以及 Summary- Variance 等相关内容。请补全该工作表中 Actual 列缺失的内容，位置是 D4:D68。工作簿里有些相关的空白字段可能也需要先补齐，这样 Actual 列才能和周围的销售明细及差异汇总保持一致。完成后，请将补全后的工作簿保存为 .xlsx 文件。",
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+ "binary_reason": "CORRECT: the mask is clean and the cross-sheet dependency chain is reconstructible from visible workbook structure, though the NL prompt is somewhat vague about the download-platform dependency.",
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+ "reason": "All 66 contract cells are real cells within the workbook range, and the diff summary shows exactly 66 truly masked cells with no extra masking and no unmasked contract cells. The prerequisite D53 is intentionally masked under the chain design. There is some visible structural evidence, such as C53=SUM(C2:C52), but this does not create a trivial zero-reasoning copy solution for the full D4:D68 target range."
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+ "reason": "Using src.xlsx as reference, the target formulas are deterministic and internally consistent: test working!D4:D68 follow the row-offset cross-sheet reference pattern to download platform!D2:D66 with an IF guard on column A, and the prerequisite D53 is a straightforward SUM(D2:D52). The shown cached values are consistent with those referenced source values, including blanks yielding zero through the target formulas."
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+ "reason": "The NL description clearly identifies the sheet, column, and exact range to fill: test working Actual column D4:D68. It also hints that related blank fields may need to be completed. However, it does not explicitly mention the download platform sheet or the cross-sheet dependency, so the dependency path must be inferred from the workbook rather than the prompt."
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+ "reason": "From mask_last.xlsx and the NL prompt alone, there is sufficient root evidence to reconstruct the task with effort. The target range is explicitly identified, download platform is visible as a relevant sheet with Quantity/Dollars headers, and visible formulas in download platform column A reference corresponding test working rows, giving a row-offset structural clue. The prerequisite D53 can be inferred from the adjacent visible C53=SUM(C2:C52) and the Dollars header as SUM(D2:D52). The main minor gap is that the exact IF(Arow,ref,FALSE) wrapper for D4:D68 is not directly exemplified in the visible target column, so a solver must infer the guard pattern rather than simply copy it.",
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+ "reason": "The source workbook appears structurally sound: no extra masking, no chain errors, and no apparent broken or circular formulas in the provided context. Headers are sparse but meaningful enough for the involved columns, especially download platform Quantity/Dollars and test working Actual. Some formulas and labels are idiosyncratic, such as download platform column A returning a text reference in one branch, but this does not appear to corrupt the task-relevant data."
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+ "reason": "The prompt sounds mostly like a plausible workplace request and avoids benchmark jargon. It is slightly awkward and generic, especially the phrase about UNITS lines being organized around labels and the vague note about related blank fields, but it remains natural enough."
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+ },
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+ "total": 26,
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+ "verdict": "RELEASE",
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+ "verdict_reason": "The task is publishable as-is: masking is clean, ground truth is correct, and the dependency chain is solvable from visible workbook evidence. The only notable weakness is that the NL prompt does not explicitly name the download platform sheet, but the workbook provides enough structural clues.",
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+ "reason": "This is a medium-difficulty task for a frontier model. It requires cross-sheet reasoning, recognizing the row-offset relationship from download platform back to test working, and filling a masked prerequisite aggregate D53 before completing the dependent Actual range. However, the chain is only depth 2, there are only two formula patterns, and the prerequisite SUM pattern is strongly suggested by the adjacent visible Quantity formula.",
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/mask_last.xlsx ADDED
Binary file (22 kB). View file
 
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/nl_task.json ADDED
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+ "prompt_en": "The Champs sheet is part of an education workbook that includes football league-table material such as Championship Table, League Tables, Stats, and Search sections. Please complete the missing GA values on the Champs sheet in column K, specifically the GA entries in K11:K16. A few related blank table fields elsewhere in the workbook feed into the Champs table, so make sure those entries are in place before finalizing the GA column. When you’re done, save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "Champs 工作表属于这个教育类工作簿的一部分，里面包含与足球联赛表相关的内容，例如 Championship Table、League Tables、Stats 和 Search 等栏目。请补全 Champs 工作表中 K 列的 GA 缺失值，具体是 K11:K16 这些 GA 条目。工作簿中其他位置还有一些相关的空白表格字段会影响 Champs 表中的内容，所以请先把这些相关条目补齐，再确认 GA 列。完成后，请将补全后的工作簿保存为 .xlsx 文件。",
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/release_qc.json ADDED
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+ "reason": "All 12 contract cells are real cells within the Champs sheet range, and the mask boundary is clean: 12 truly masked, 0 contract cells missed, and 0 extra masked outside the contract. The formula-cache-loss entries are an openpyxl artifact and not additional masking. Visible related formulas provide structural clues but do not make the whole task purely zero-reasoning copy/paste because the solver must connect the hidden Position cells to the GA lookup."
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+ },
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+ "reason": "The GT formulas consistently use INDEX over the Import League table with the row determined by the corresponding Position cell and column 8 for GA. The cached values are plausible and consistent with the visible league-table structure and adjacent stats. The formulas are deterministic and contain no volatile or ambiguous operations."
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+ },
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+ "D3": {
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+ "score": 4,
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+ "reason": "The NL clearly identifies the final target cells, Champs!K11:K16, and the requested field, GA. It also warns that related blank fields feed the Champs table. However, it does not explicitly name the prerequisite Position cells E11:E16 or the Import League sheet, so the dependency reconstruction is left somewhat implicit."
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+ "D4": {
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+ "score": 4,
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+ "reason": "Using only mask_last.xlsx and the prompt, the task is solvable. The target column is clearly labeled GA, the adjacent Champs table has visible headers and team names, and the blank Position column is visibly part of the same table. The workbook exposes structural clues for the needed lookup pattern: visible cross-sheet MATCH/INDEX formulas in nearby columns, table-start helper formulas around B20/C20/F5/K5, and visible Import League references. A solver can infer that Position is obtained by matching the home team in the Import League table and that GA is then indexed from that same league table. The main weakness is that the NL does not explicitly mention Import League or Position, so the solver must infer the dependency from workbook structure.",
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+ "d4_type": "ok"
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+ },
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+ "D5": {
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+ "score": 4,
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+ "reason": "The source workbook appears structurally sound: formulas are coherent, no chain errors are reported, and the relevant league-table references are valid. Column headers such as Position, Played, Won, Lost, GF, and GA are meaningful. Minor quality issues include messy instructional notes and anonymized placeholder labels, but these do not corrupt the formula logic."
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+ },
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+ "D6": {
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+ "score": 4,
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+ "reason": "The NL reads like a plausible user request and avoids benchmark-specific wording. It is slightly generic and somewhat vague in the phrase 'a few related blank table fields elsewhere,' but overall it sounds natural enough for a workplace-style spreadsheet completion task."
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+ },
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+ "total": 26,
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+ "verdict": "RELEASE",
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+ "verdict_reason": "High-quality task with clean masking, correct GT, and sufficient visible evidence for reconstruction. The only notable issue is mild NL vagueness around the prerequisite cells, but that is acceptable for this chain-masking setup.",
32
+ "frontier_hardness": {
33
+ "score": 2,
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+ "reason": "This is a short depth-2 chain with only two formula patterns and strong nearby structural clues. A frontier model should likely infer the MATCH-based Position lookup and the INDEX-based GA retrieval from visible workbook patterns and headers.",
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+ "is_cross_sheet": true,
48
+ "unique_patterns": 2,
49
+ "avg_complexity": 7,
50
+ "cross_refs": 12,
51
+ "visible_exemplar_ratio": 0.333
52
+ },
53
+ "task_id": "cross_sheet__dag_ea9c2fa92611",
54
+ "elapsed": 148.4,
55
+ "publish_decision": "YES",
56
+ "release_tier": "SILVER",
57
+ "hard_block_reasons": []
58
+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/src.xlsx ADDED
Binary file (30.1 kB). View file
 
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/target_contract.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task_id": "cross_sheet__dag_ea9c2fa92611",
3
+ "category": "cross_sheet",
4
+ "depth": 2,
5
+ "final_target": {
6
+ "regions": [
7
+ {
8
+ "sheet": "Champs",
9
+ "column": "K",
10
+ "column_header": "GA",
11
+ "cell_range": "K11:K16",
12
+ "cell_count": 6,
13
+ "rows": [
14
+ 11,
15
+ 12,
16
+ 13,
17
+ 14,
18
+ 15,
19
+ 16
20
+ ],
21
+ "first_row_label": "Brentford",
22
+ "last_row_label": "Preston"
23
+ }
24
+ ],
25
+ "cell_count": 6,
26
+ "formula_families": [
27
+ "lookup"
28
+ ]
29
+ },
30
+ "prerequisite_steps": [
31
+ {
32
+ "layer": 2,
33
+ "regions": [
34
+ {
35
+ "sheet": "Champs",
36
+ "column": "E",
37
+ "column_header": "Position",
38
+ "cell_range": "E11:E16",
39
+ "cell_count": 6,
40
+ "rows": [
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+ 11,
42
+ 12,
43
+ 13,
44
+ 14,
45
+ 15,
46
+ 16
47
+ ],
48
+ "first_row_label": "Brentford",
49
+ "last_row_label": "Preston"
50
+ }
51
+ ],
52
+ "cell_count": 6
53
+ }
54
+ ],
55
+ "total_prerequisite_cells": 6,
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+ "total_masked_cells": 12,
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+ "ratio_total_vs_final": 2.0,
58
+ "sheets_involved": [
59
+ "Champs"
60
+ ]
61
+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08367/task_meta.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "fcb_id": "FCB-08367",
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+ "task_id": "cross_sheet__dag_ea9c2fa92611",
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+ "tier": "T4_STANDARD",
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+ "category": "cross_sheet",
6
+ "depth": 2,
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+ "total_masked": 12,
8
+ "is_cross_sheet": true,
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+ "prompt_en": "The Champs sheet is part of an education workbook that includes football league-table material such as Championship Table, League Tables, Stats, and Search sections. Please complete the missing GA values on the Champs sheet in column K, specifically the GA entries in K11:K16. A few related blank table fields elsewhere in the workbook feed into the Champs table, so make sure those entries are in place before finalizing the GA column. When you’re done, save the completed workbook as an .xlsx file.",
10
+ "prompt_cn": "Champs 工作表属于这个教育类工作簿的一部分，里面包含与足球联赛表相关的内容，例如 Championship Table、League Tables、Stats 和 Search 等栏目。请补全 Champs 工作表中 K 列的 GA 缺失值，具体是 K11:K16 这些 GA 条目。工作簿中其他位置还有一些相关的空白表格字段会影响 Champs 表中的内容，所以请先把这些相关条目补齐，再确认 GA 列。完成后，请将补全后的工作簿保存为 .xlsx 文件。",
11
+ "qc": {
12
+ "total": 26,
13
+ "verdict": "RELEASE",
14
+ "D1": 5,
15
+ "D2": 5,
16
+ "D3": 4,
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+ "D4": 4,
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+ "D5": 4,
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+ "D6": 4,
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+ "frontier_hardness": 2,
21
+ "local_difficulty": 57.3
22
+ },
23
+ "source_file_id": "705238d1605955641-using-match-with-data-from-another-sheet-match-example",
24
+ "inferred_domain": "education",
25
+ "domain_confidence": 0.5,
26
+ "sheet_profiles": [
27
+ {
28
+ "name": "Champs",
29
+ "used_range": "A3:AM43",
30
+ "row_count": 41,
31
+ "col_count": 39,
32
+ "has_header": false,
33
+ "title_hint": "Champs",
34
+ "header_info": null
35
+ },
36
+ {
37
+ "name": "Import League",
38
+ "used_range": "A1:K219",
39
+ "row_count": 219,
40
+ "col_count": 11,
41
+ "has_header": false,
42
+ "title_hint": "Import League",
43
+ "header_info": null
44
+ },
45
+ {
46
+ "name": "Import Stats",
47
+ "used_range": "A1:K227",
48
+ "row_count": 227,
49
+ "col_count": 11,
50
+ "has_header": false,
51
+ "title_hint": "Import Stats",
52
+ "header_info": null
53
+ }
54
+ ]
55
+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08415/audit.json ADDED
@@ -0,0 +1,513 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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+ "gate_pass": true,
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10
+ "check": "final_target_gate",
11
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12
+ "detail": "final_target has 7 cells"
13
+ },
14
+ {
15
+ "check": "header_grounding",
16
+ "pass": true,
17
+ "severity": "pass",
18
+ "detail": "1/1 final regions have column_header"
19
+ },
20
+ {
21
+ "check": "mask_consistency",
22
+ "pass": true,
23
+ "detail": "mask_last=37077B, src=49628B"
24
+ },
25
+ {
26
+ "check": "dirty_family",
27
+ "pass": true,
28
+ "detail": "0 dirty cells"
29
+ },
30
+ {
31
+ "check": "ratio_gate",
32
+ "pass": true,
33
+ "detail": "ratio=8.0 (total=56, final=7)"
34
+ },
35
+ {
36
+ "check": "dedup_gate",
37
+ "pass": true,
38
+ "detail": "0 duplicate cells across layers"
39
+ },
40
+ {
41
+ "check": "gt_uniqueness",
42
+ "pass": true,
43
+ "detail": "13 unique values across 56 cells"
44
+ },
45
+ {
46
+ "check": "tail_artifact",
47
+ "pass": true,
48
+ "detail": "0 bad values"
49
+ },
50
+ {
51
+ "check": "unrecoverable_leaf",
52
+ "pass": true,
53
+ "detail": "clean",
54
+ "hidden_const_cells": []
55
+ },
56
+ {
57
+ "check": "adjacent_column_leak",
58
+ "pass": true,
59
+ "detail": "leaked: Site 1!AT→AS(4/7), Site 1!AS→AT(4/7), Site 1!AU→AT(4/7), Site 1!AT→AU(4/7), Site 1!AV→AU(5/7)"
60
+ },
61
+ {
62
+ "check": "header_name_accuracy",
63
+ "pass": true,
64
+ "detail": "clean"
65
+ },
66
+ {
67
+ "check": "duplicate_lookup_tie_break",
68
+ "pass": true,
69
+ "detail": "no lookup formulas"
70
+ },
71
+ {
72
+ "check": "src_chain_integrity",
73
+ "pass": true,
74
+ "severity": "ok",
75
+ "detail": "clean",
76
+ "sub_checks": {
77
+ "error_cells": {
78
+ "pass": true,
79
+ "count": 0,
80
+ "cells": []
81
+ },
82
+ "external_refs": {
83
+ "pass": true,
84
+ "count": 0,
85
+ "cells": []
86
+ },
87
+ "volatile_funcs": {
88
+ "pass": true,
89
+ "count": 0,
90
+ "cells": []
91
+ },
92
+ "missing_sheets": {
93
+ "pass": true,
94
+ "count": 0,
95
+ "sheets": []
96
+ },
97
+ "circular_refs": {
98
+ "pass": true,
99
+ "cycle_cells": []
100
+ }
101
+ }
102
+ },
103
+ {
104
+ "check": "uniqueness_deep",
105
+ "pass": true,
106
+ "severity": "ok",
107
+ "detail": "clean"
108
+ }
109
+ ]
110
+ },
111
+ "post_nl_validate": {
112
+ "validate_label": "CLEAN",
113
+ "validate_pass": true,
114
+ "hard_fails": 0,
115
+ "soft_warns": 0,
116
+ "checks": [
117
+ {
118
+ "check": "cell_range_match",
119
+ "pass": true,
120
+ "detail": "contract=8, prompt=1, missing=0",
121
+ "missing_ranges": [],
122
+ "severity": "OK"
123
+ },
124
+ {
125
+ "check": "cell_count_match",
126
+ "pass": true,
127
+ "detail": "no explicit total found; skipping (natural format)",
128
+ "severity": "OK"
129
+ },
130
+ {
131
+ "check": "step_count_match",
132
+ "pass": true,
133
+ "detail": "contract=1, no explicit steps found (v5 natural format)",
134
+ "severity": "OK"
135
+ },
136
+ {
137
+ "check": "sheet_name_match",
138
+ "pass": true,
139
+ "detail": "contract=['Site 1'], missing=[]",
140
+ "severity": "OK"
141
+ },
142
+ {
143
+ "check": "no_formula_leak",
144
+ "pass": true,
145
+ "detail": "0 formula leaks",
146
+ "severity": "OK"
147
+ },
148
+ {
149
+ "check": "no_value_leak",
150
+ "pass": true,
151
+ "detail": "0 value leaks out of 7 GT cells",
152
+ "severity": "OK"
153
+ },
154
+ {
155
+ "check": "final_target_first",
156
+ "pass": true,
157
+ "detail": "no explicit final target marker (natural format)",
158
+ "severity": "OK"
159
+ },
160
+ {
161
+ "check": "output_format",
162
+ "pass": true,
163
+ "detail": "output format found",
164
+ "severity": "OK"
165
+ },
166
+ {
167
+ "check": "header_in_prompt",
168
+ "pass": true,
169
+ "detail": "no column headers found in prompt",
170
+ "severity": "OK"
171
+ },
172
+ {
173
+ "check": "hint_specificity",
174
+ "pass": true,
175
+ "detail": "clean",
176
+ "severity": "OK"
177
+ },
178
+ {
179
+ "check": "evidence_scope",
180
+ "pass": true,
181
+ "detail": "no cross-sheet refs in GT",
182
+ "severity": "OK"
183
+ },
184
+ {
185
+ "check": "exemplar_consistency",
186
+ "pass": true,
187
+ "severity": "OK",
188
+ "detail": "checked 8 col groups"
189
+ },
190
+ {
191
+ "check": "nl_gt_operation_consistency",
192
+ "pass": true,
193
+ "detail": "GT funcs: ['CEILING', 'SUM']",
194
+ "severity": "OK"
195
+ },
196
+ {
197
+ "check": "unmatched_default_rule",
198
+ "pass": true,
199
+ "detail": "no default-rule phrase found in NL",
200
+ "severity": "OK"
201
+ },
202
+ {
203
+ "check": "volatile_function_freeze",
204
+ "pass": true,
205
+ "detail": "volatile_cells=0",
206
+ "severity": "OK"
207
+ },
208
+ {
209
+ "check": "direct_answer_leakage",
210
+ "pass": true,
211
+ "detail": "0 leaks out of 56 GT cells (0%)",
212
+ "severity": "OK"
213
+ }
214
+ ]
215
+ },
216
+ "pre_nl_local": {
217
+ "local_total": 58,
218
+ "local_label": "PENDING_NL",
219
+ "hard_fail_flags": [],
220
+ "warnings": [
221
+ "release_verdict_not_keep",
222
+ "nl_missing"
223
+ ],
224
+ "local_subscores": {
225
+ "family_clean": 25,
226
+ "target_integrity": 15,
227
+ "taxonomy": 10,
228
+ "semantic_signal": 8,
229
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230
+ "target_alignment": 0,
231
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232
+ "nl_risk": 0
233
+ }
234
+ }
235
+ },
236
+ "verify": {
237
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238
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239
+ "total_non_none": 56,
240
+ "block_reasons": [],
241
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242
+ "mixed_gt_types:{'float': 17, 'int': 39}"
243
+ ],
244
+ "checks": {
245
+ "rank_tie_risk": {
246
+ "rank_cells": 0,
247
+ "tie_issues": 0,
248
+ "details": []
249
+ },
250
+ "trivial_gt": {
251
+ "issues": []
252
+ },
253
+ "gt_type_consistency": {
254
+ "types": {
255
+ "float": 17,
256
+ "int": 39
257
+ },
258
+ "mixed": true
259
+ },
260
+ "empty_gt": {
261
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262
+ "details": []
263
+ }
264
+ }
265
+ },
266
+ "src_chain": {
267
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268
+ "block_reasons": [],
269
+ "checks": {
270
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271
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272
+ "count": 0,
273
+ "cells": []
274
+ },
275
+ "external_refs": {
276
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277
+ "count": 0,
278
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279
+ },
280
+ "volatile_funcs": {
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282
+ "count": 0,
283
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284
+ },
285
+ "missing_sheets": {
286
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287
+ "count": 0,
288
+ "sheets": []
289
+ },
290
+ "circular_refs": {
291
+ "pass": true,
292
+ "cycle_cells": []
293
+ }
294
+ },
295
+ "required_chain_scope": {
296
+ "external_ref_in_required_chain": 0,
297
+ "external_ref_in_other": 0,
298
+ "error_cells_in_required_chain": 0,
299
+ "error_cells_in_other": 0,
300
+ "required_chain_cells": 56
301
+ }
302
+ },
303
+ "solver_visibility": {
304
+ "contract_cells": 56,
305
+ "total_masked": 56,
306
+ "total_visible": 340,
307
+ "depth": 2,
308
+ "block_reasons": [
309
+ "broken_chains:33/56=58.9%"
310
+ ],
311
+ "warnings": [],
312
+ "checks": {
313
+ "broken_chains": {
314
+ "count": 33,
315
+ "checked": 56,
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+ "details": [
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+ {
318
+ "cell": "Site 1!AR10",
319
+ "missing_dep": "Site 1!AD10",
320
+ "formula": "=CEILING(AD10-AC10,1.25/60)/(2.5/60)"
321
+ },
322
+ {
323
+ "cell": "Site 1!AW10",
324
+ "missing_dep": "Site 1!AN10",
325
+ "formula": "=CEILING(AN10-AM10,1.25/60)/(2.5/60)"
326
+ },
327
+ {
328
+ "cell": "Site 1!AS12",
329
+ "missing_dep": "Site 1!AF12",
330
+ "formula": "=CEILING(AF12-AE12,1.25/60)/(2.5/60)"
331
+ },
332
+ {
333
+ "cell": "Site 1!AW7",
334
+ "missing_dep": "Site 1!AN7",
335
+ "formula": "=CEILING(AN7-AM7,1.25/60)/(2.5/60)"
336
+ },
337
+ {
338
+ "cell": "Site 1!AX7",
339
+ "missing_dep": "Site 1!AP7",
340
+ "formula": "=CEILING(AP7-AO7,1.25/60)/(2.5/60)"
341
+ },
342
+ {
343
+ "cell": "Site 1!AT11",
344
+ "missing_dep": "Site 1!AH11",
345
+ "formula": "=CEILING(AH11-AG11,1.25/60)/(2.5/60)"
346
+ },
347
+ {
348
+ "cell": "Site 1!AV7",
349
+ "missing_dep": "Site 1!AL7",
350
+ "formula": "=CEILING(AL7-AK7,1.25/60)/(2.5/60)"
351
+ },
352
+ {
353
+ "cell": "Site 1!AV10",
354
+ "missing_dep": "Site 1!AL10",
355
+ "formula": "=CEILING(AL10-AK10,1.25/60)/(2.5/60)"
356
+ },
357
+ {
358
+ "cell": "Site 1!AR12",
359
+ "missing_dep": "Site 1!AD12",
360
+ "formula": "=CEILING(AD12-AC12,1.25/60)/(2.5/60)"
361
+ },
362
+ {
363
+ "cell": "Site 1!AS8",
364
+ "missing_dep": "Site 1!AF8",
365
+ "formula": "=CEILING(AF8-AE8,1.25/60)/(2.5/60)"
366
+ },
367
+ {
368
+ "cell": "Site 1!AR9",
369
+ "missing_dep": "Site 1!AD9",
370
+ "formula": "=CEILING(AD9-AC9,1.25/60)/(2.5/60)"
371
+ },
372
+ {
373
+ "cell": "Site 1!AT10",
374
+ "missing_dep": "Site 1!AH10",
375
+ "formula": "=CEILING(AH10-AG10,1.25/60)/(2.5/60)"
376
+ },
377
+ {
378
+ "cell": "Site 1!AU11",
379
+ "missing_dep": "Site 1!AJ11",
380
+ "formula": "=CEILING(AJ11-AI11,1.25/60)/(2.5/60)"
381
+ },
382
+ {
383
+ "cell": "Site 1!AS11",
384
+ "missing_dep": "Site 1!AF11",
385
+ "formula": "=CEILING(AF11-AE11,1.25/60)/(2.5/60)"
386
+ },
387
+ {
388
+ "cell": "Site 1!AW6",
389
+ "missing_dep": "Site 1!AN6",
390
+ "formula": "=CEILING(AN6-AM6,1.25/60)/(2.5/60)"
391
+ },
392
+ {
393
+ "cell": "Site 1!AW12",
394
+ "missing_dep": "Site 1!AN12",
395
+ "formula": "=CEILING(AN12-AM12,1.25/60)/(2.5/60)"
396
+ },
397
+ {
398
+ "cell": "Site 1!AX12",
399
+ "missing_dep": "Site 1!AP12",
400
+ "formula": "=CEILING(AP12-AO12,1.25/60)/(2.5/60)"
401
+ },
402
+ {
403
+ "cell": "Site 1!AX8",
404
+ "missing_dep": "Site 1!AP8",
405
+ "formula": "=CEILING(AP8-AO8,1.25/60)/(2.5/60)"
406
+ },
407
+ {
408
+ "cell": "Site 1!AX6",
409
+ "missing_dep": "Site 1!AP6",
410
+ "formula": "=CEILING(AP6-AO6,1.25/60)/(2.5/60)"
411
+ },
412
+ {
413
+ "cell": "Site 1!AU12",
414
+ "missing_dep": "Site 1!AJ12",
415
+ "formula": "=CEILING(AJ12-AI12,1.25/60)/(2.5/60)"
416
+ }
417
+ ]
418
+ },
419
+ "orphan_masks": {
420
+ "count": 0,
421
+ "details": []
422
+ },
423
+ "self_contained": {
424
+ "missing_sheets": []
425
+ }
426
+ }
427
+ },
428
+ "exemplar": {
429
+ "soft_block": false,
430
+ "block_reasons": [],
431
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+ "prompt_en": "On the Site 1 sheet, the pay-period table for Jan 29th - Feb 11th, 2012 tracks Employee 1 and Employee 2 with EMP#, NAME, Week 1 and Week 2 day columns, and a Totals column. Please complete the blank entries in the Totals column for the employee rows shown in AY6:AY12. If any related period entries are blank, those need to be in place before the Totals column is meaningful. Please save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "在“Site 1”工作表中，Jan 29th - Feb 11th, 2012 这个支付周期表按 EMP#、NAME、Week 1 和 Week 2 的每日列以及 Totals 列来记录 Employee 1 和 Employee 2。请补全 AY6:AY12 中员工行对应的 Totals 列空白内容。如果相关的周期记录还有空白，需要先把这些内容补齐，Totals 列才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
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+ "reason": "All 56 contract cells are genuinely masked, there are no phantom cells, no contract misses, and no extra masked cells. The mask diff is clean. There is likely some visible analogous-week formula structure elsewhere in the same sheet, which makes the pattern fairly easy to infer/copy, but this appears to be normal exemplar leakage rather than an invalid mask."
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+ "reason": "The layer-1 GT formulas AY6:AY12 are straightforward row sums over AR:AX and match the provided cached totals. The formulas are deterministic and internally consistent."
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+ "reason": "The NL description clearly identifies the sheet and final target range AY6:AY12 and notes that related period entries must be completed first. It is slightly underspecified about the exact daily-hour calculation rule, but the workbook structure supplies that evidence."
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+ },
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+ "D4": {
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+ "reason": "Using mask_last plus the NL, the final Totals column is clearly indicated, and the blank prerequisite columns AR:AX are visibly the daily computed entries feeding the total. The surrounding pay-period layout, day headers, visible time-pair inputs, and likely analogous formulas in the unmasked Week 2 block provide enough root evidence to reconstruct the chain. The main minor gap is that the rounding/CEILING rule is not stated in NL, so solvability depends on recognizing the visible workbook pattern rather than deriving it from text alone.",
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+ "d4_type": "ok"
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+ "reason": "The source workbook appears structurally sound: formulas are consistent, references are local and valid, cached values are coherent, and there are no indicated circular references, broken formulas, or corrupted values. Headers and day/time layouts are consistent for the pay-period table."
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+ "score": 4,
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+ "reason": "The NL sounds like a plausible workplace request and avoids benchmark jargon. It is a little formula-benchmark-like in explicitly naming the target range, but still natural enough."
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+ },
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+ "total": 26,
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+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality task overall: clean masking, valid GT, coherent source data, and sufficient visible spreadsheet evidence. The task may be easier than the structural score suggests if the solver finds the analogous unmasked week formulas, but that does not make it invalid.",
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+ "frontier_hardness": {
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+ "score": 2,
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+ "reason": "A frontier model should likely succeed by identifying the blank daily computed-hour columns and Totals column, then using analogous visible formulas or the consistent table structure. The chain is shallow and local, with no cross-sheet dependencies.",
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+ "fail_reason": "easy",
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+ "is_valid_hardness": false
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+ "task_id": "single_sheet__dag_026fd0cbb912",
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+ "elapsed": 74.7,
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+ "publish_decision": "YES",
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+ "release_tier": "SILVER",
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+ "hard_block_reasons": []
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+ }
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+ "prompt_en": "On the Site 1 sheet, the pay-period table for Jan 29th - Feb 11th, 2012 tracks Employee 1 and Employee 2 with EMP#, NAME, Week 1 and Week 2 day columns, and a Totals column. Please complete the blank entries in the Totals column for the employee rows shown in AY6:AY12. If any related period entries are blank, those need to be in place before the Totals column is meaningful. Please save the completed workbook as an .xlsx file.",
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+ "name": "Site 2",
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+ "row_count": 789,
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+ "title_hint": "Site 2",
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+ "header_info": null
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+ }
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+ ]
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