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  1. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/audit.json +411 -0
  2. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/ground_truth_full.json +182 -0
  3. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/ground_truth_target.json +130 -0
  4. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/layers.json +127 -0
  5. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/mask_last.xlsx +0 -0
  6. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/nl_task.json +26 -0
  7. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/release_qc.json +58 -0
  8. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/target_contract.json +102 -0
  9. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/task_meta.json +64 -0
  10. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/audit.json +432 -0
  11. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/ground_truth_full.json +668 -0
  12. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/ground_truth_target.json +514 -0
  13. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/layers.json +266 -0
  14. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/mask_last.xlsx +0 -0
  15. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/nl_task.json +26 -0
  16. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/release_qc.json +58 -0
  17. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/src.xlsx +0 -0
  18. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/target_contract.json +123 -0
  19. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/task_meta.json +73 -0
  20. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/audit.json +415 -0
  21. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/ground_truth_full.json +272 -0
  22. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/ground_truth_target.json +234 -0
  23. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/layers.json +95 -0
  24. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/nl_task.json +26 -0
  25. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/release_qc.json +58 -0
  26. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/target_contract.json +79 -0
  27. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02540/task_meta.json +82 -0
  28. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/audit.json +426 -0
  29. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/ground_truth_full.json +119 -0
  30. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/ground_truth_target.json +50 -0
  31. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/layers.json +78 -0
  32. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/mask_last.xlsx +0 -0
  33. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/nl_task.json +26 -0
  34. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/release_qc.json +58 -0
  35. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/src.xlsx +0 -0
  36. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/target_contract.json +61 -0
  37. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02549/task_meta.json +95 -0
  38. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/audit.json +410 -0
  39. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/ground_truth_full.json +299 -0
  40. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/ground_truth_target.json +242 -0
  41. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/layers.json +135 -0
  42. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/mask_last.xlsx +0 -0
  43. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/nl_task.json +26 -0
  44. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/release_qc.json +58 -0
  45. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/src.xlsx +0 -0
  46. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/target_contract.json +80 -0
  47. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/task_meta.json +46 -0
  48. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02577/audit.json +418 -0
  49. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02577/ground_truth_full.json +92 -0
  50. FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02577/ground_truth_target.json +42 -0
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/audit.json ADDED
@@ -0,0 +1,411 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ "pass": true,
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FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/ground_truth_full.json ADDED
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+ "reason": "The NL sounds like a plausible workplace request about completing a sales pipeline view. It avoids benchmark jargon and gives practical instructions about the relevant sheet, range, and output format."
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+ "total": 29,
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+ "verdict_reason": "High-quality task: clean masking, correct GT, clear enough prompt, and sufficient visible structural evidence for reconstructing the shallow dependency chain.",
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+ "publish_decision": "YES",
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+ "release_tier": "GOLD",
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+ "hard_block_reasons": []
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+ "first_row_label": "Total New Products",
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+ "last_row_label": ""
67
+ },
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+ {
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+ "sheet": "Program 2",
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+ "column": "E",
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+ "column_header": "",
72
+ "cell_range": "E17",
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+ "cell_count": 1,
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+ "rows": [
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+ ],
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+ "first_row_label": "Total New Products",
78
+ "last_row_label": ""
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+ },
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+ {
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+ "sheet": "Program 2",
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+ "column": "F",
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+ "column_header": "",
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+ "cell_range": "F17",
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+ "rows": [
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+ "first_row_label": "Total New Products",
90
+ "last_row_label": ""
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+ ],
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+ "cell_count": 4
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+ }
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+ ],
96
+ "total_prerequisite_cells": 4,
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98
+ "ratio_total_vs_final": 1.2,
99
+ "sheets_involved": [
100
+ "Program 2"
101
+ ]
102
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02413/task_meta.json ADDED
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+ {
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+ "fcb_id": "FCB-02413",
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+ "task_id": "single_sheet__dag_eac019a86f69",
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+ "tier": "T3_MEDIUM",
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+ "category": "single_sheet",
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+ "prompt_en": "The Program 2 sheet is a sales pipeline view organized by FULL Program and project lines such as Program 1 - Projet AAA through Program 3 - Projet CCC, with a multi-year column labeled “total 2016/2019.” Please fill in the blank values in that “total 2016/2019” column on Sheet “Program 2,” specifically M2:M17. Some of the supporting year/project figures in the sheet need to be in place before this multi-year column is meaningful, so keep the surrounding Program and Projet rows consistent with the visible data. When you’re done, please save the completed file as an .xlsx workbook.",
10
+ "prompt_cn": "“Program 2”工作表是一个销售管道视图,按 FULL Program 和项目行整理,例如 Program 1 - Projet AAA 到 Program 3 - Projet CCC,并包含一个名为“total 2016/2019”的多年列。请补全“Program 2”工作表中“total 2016/2019”这一列的空白值,位置是 M2:M17。表中有些按年份或项目列出的支持性数据需要先保持完整,这样这个多年列才有意义;请让这些 Program 和 Projet 行与周围可见数据保持一致。完成后,请将文件保存为 .xlsx 工作簿。",
11
+ "qc": {
12
+ "total": 29,
13
+ "verdict": "RELEASE",
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+ "D1": 5,
15
+ "D2": 5,
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+ "D4": 5,
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+ "D6": 5,
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+ "frontier_hardness": 2,
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+ "local_difficulty": 46.1
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+ },
23
+ "source_file_id": "475833d1471473685-fil-an-excel-sheet-automatically-ef958_subsid_sheets_to_master",
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+ "inferred_domain": "sales",
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+ "domain_confidence": 0.25,
26
+ "sheet_profiles": [
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+ {
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+ "name": "FULL PROGRAM",
29
+ "used_range": "A1:Y19",
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+ "row_count": 19,
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+ "col_count": 25,
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+ "has_header": false,
33
+ "title_hint": "FULL PROGRAM",
34
+ "header_info": null
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+ },
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+ {
37
+ "name": "Program 1",
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+ "used_range": "A1:V19",
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+ "row_count": 19,
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+ "col_count": 22,
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+ "has_header": false,
42
+ "title_hint": "Program 1",
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+ "header_info": null
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+ },
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+ {
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+ "name": "Program 2",
47
+ "used_range": "A1:V19",
48
+ "row_count": 19,
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+ "col_count": 22,
50
+ "has_header": false,
51
+ "title_hint": "Program 2",
52
+ "header_info": null
53
+ },
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+ {
55
+ "name": "Program 3",
56
+ "used_range": "A1:V19",
57
+ "row_count": 19,
58
+ "col_count": 22,
59
+ "has_header": false,
60
+ "title_hint": "Program 3",
61
+ "header_info": null
62
+ }
63
+ ]
64
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/audit.json ADDED
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1
+ {
2
+ "gate": {
3
+ "pre_nl_gate": {
4
+ "gate_label": "GATE_PASS",
5
+ "gate_pass": true,
6
+ "hard_fails": 0,
7
+ "warns": 0,
8
+ "checks": [
9
+ {
10
+ "check": "final_target_gate",
11
+ "pass": true,
12
+ "detail": "final_target has 64 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=71546B, src=95878B"
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=1.2 (total=74, final=64)"
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": "43 unique values across 74 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
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56
+ {
57
+ "check": "adjacent_column_leak",
58
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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",
76
+ "sub_checks": {
77
+ "error_cells": {
78
+ "pass": true,
79
+ "count": 0,
80
+ "cells": []
81
+ },
82
+ "external_refs": {
83
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84
+ "count": 0,
85
+ "cells": []
86
+ },
87
+ "volatile_funcs": {
88
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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": "SOFT_WARN",
113
+ "validate_pass": true,
114
+ "hard_fails": 0,
115
+ "soft_warns": 1,
116
+ "checks": [
117
+ {
118
+ "check": "cell_range_match",
119
+ "pass": true,
120
+ "detail": "contract=3, prompt=5, 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=['Power West Price Off Peak-Tim'], 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 64 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": false,
175
+ "detail": "issues: use the visible",
176
+ "severity": "SOFT_WARN"
177
+ },
178
+ {
179
+ "check": "evidence_scope",
180
+ "pass": true,
181
+ "detail": "referenced=1 mentioned=1 missing=0",
182
+ "severity": "OK"
183
+ },
184
+ {
185
+ "check": "exemplar_consistency",
186
+ "pass": true,
187
+ "severity": "OK",
188
+ "detail": "checked 2 col groups"
189
+ },
190
+ {
191
+ "check": "nl_gt_operation_consistency",
192
+ "pass": true,
193
+ "detail": "GT funcs: ['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 74 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
+ "nl_missing"
222
+ ],
223
+ "local_subscores": {
224
+ "family_clean": 25,
225
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226
+ "taxonomy": 10,
227
+ "semantic_signal": 8,
228
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229
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230
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231
+ "nl_risk": 0
232
+ }
233
+ }
234
+ },
235
+ "verify": {
236
+ "uniqueness": {
237
+ "total_gt_cells": 74,
238
+ "total_non_none": 74,
239
+ "block_reasons": [],
240
+ "warnings": [
241
+ "mixed_gt_types:{'int': 38, 'float': 36}"
242
+ ],
243
+ "checks": {
244
+ "rank_tie_risk": {
245
+ "rank_cells": 0,
246
+ "tie_issues": 0,
247
+ "details": []
248
+ },
249
+ "trivial_gt": {
250
+ "issues": []
251
+ },
252
+ "gt_type_consistency": {
253
+ "types": {
254
+ "int": 38,
255
+ "float": 36
256
+ },
257
+ "mixed": true
258
+ },
259
+ "empty_gt": {
260
+ "count": 0,
261
+ "details": []
262
+ }
263
+ }
264
+ },
265
+ "src_chain": {
266
+ "hard_block": false,
267
+ "block_reasons": [],
268
+ "checks": {
269
+ "error_cells": {
270
+ "pass": true,
271
+ "count": 0,
272
+ "cells": []
273
+ },
274
+ "external_refs": {
275
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276
+ "count": 0,
277
+ "cells": []
278
+ },
279
+ "volatile_funcs": {
280
+ "pass": true,
281
+ "count": 0,
282
+ "cells": []
283
+ },
284
+ "missing_sheets": {
285
+ "pass": true,
286
+ "count": 0,
287
+ "sheets": []
288
+ },
289
+ "circular_refs": {
290
+ "pass": true,
291
+ "cycle_cells": []
292
+ }
293
+ },
294
+ "required_chain_scope": {
295
+ "external_ref_in_required_chain": 0,
296
+ "external_ref_in_other": 0,
297
+ "error_cells_in_required_chain": 0,
298
+ "error_cells_in_other": 0,
299
+ "required_chain_cells": 74
300
+ }
301
+ },
302
+ "solver_visibility": {
303
+ "contract_cells": 74,
304
+ "total_masked": 74,
305
+ "total_visible": 4889,
306
+ "depth": 2,
307
+ "block_reasons": [],
308
+ "warnings": [
309
+ "broken_chains:2/74"
310
+ ],
311
+ "checks": {
312
+ "broken_chains": {
313
+ "count": 2,
314
+ "checked": 74,
315
+ "details": [
316
+ {
317
+ "cell": "Power West Price Off Peak-Tim!E58",
318
+ "missing_dep": "P2!K13",
319
+ "formula": "=SUM('P2'!K13:V13)/12"
320
+ },
321
+ {
322
+ "cell": "Power West Price Off Peak-Tim!K3",
323
+ "missing_dep": "Power West Price Off Peak-Tim!E3",
324
+ "formula": "=E3-Q3"
325
+ }
326
+ ]
327
+ },
328
+ "orphan_masks": {
329
+ "count": 0,
330
+ "details": []
331
+ },
332
+ "self_contained": {
333
+ "missing_sheets": []
334
+ }
335
+ }
336
+ },
337
+ "exemplar": {
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+ "soft_block": false,
339
+ "block_reasons": [],
340
+ "checks": {
341
+ "pattern_coverage": {
342
+ "pass": true,
343
+ "total_gt_patterns": 2,
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+ "total_src_patterns": 9,
345
+ "zero_exemplar_count": 0,
346
+ "low_exemplar_count": 0
347
+ },
348
+ "zero_exemplar_patterns": {
349
+ "pass": true,
350
+ "patterns": []
351
+ },
352
+ "low_exemplar_patterns": {
353
+ "pass": true,
354
+ "patterns": []
355
+ },
356
+ "func_coverage": {
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+ "SUM": {
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+ "total_masked": 10,
359
+ "visible_exemplars": 90
360
+ },
361
+ "arithmetic": {
362
+ "total_masked": 64,
363
+ "visible_exemplars": 879
364
+ }
365
+ }
366
+ }
367
+ },
368
+ "shortcut": {
369
+ "shortcut_risk": 0.2,
370
+ "flags": [
371
+ {
372
+ "code": "SC3",
373
+ "description": "Copy-from-visible: 10/74 GT cells have nearby visible formula clones",
374
+ "affected_cells": 10,
375
+ "severity": "low"
376
+ }
377
+ ]
378
+ },
379
+ "release_audit": {
380
+ "surface_single_sheet": true,
381
+ "surface_sheets": [
382
+ "Power West Price Off Peak-Tim"
383
+ ],
384
+ "cross_sheet_actual": true,
385
+ "cross_sheet_ref_count": 120,
386
+ "referenced_sheets": [
387
+ "P2"
388
+ ],
389
+ "target_shape": "summary_block",
390
+ "layer_sizes": [
391
+ 64,
392
+ 10
393
+ ],
394
+ "mask_last_total_cells": 74,
395
+ "layer_growth_ratios": [
396
+ 0.1562
397
+ ],
398
+ "pattern_dominance_ratio": 0.8649,
399
+ "visible_clone_regions": 0,
400
+ "nearby_visible_clone_regions": 0,
401
+ "nearby_visible_clone_rows": 0,
402
+ "nearby_visible_clone_ratio": 0.0,
403
+ "promptability_score": 0.8,
404
+ "release_reasons": [
405
+ "pattern_dominance_high",
406
+ "cross_sheet_metadata_mismatch"
407
+ ],
408
+ "release_verdict": "KEEP_WITH_FIXES"
409
+ }
410
+ },
411
+ "difficulty": {
412
+ "task_id": "cross_sheet__dag_18604ac425f5",
413
+ "difficulty_score": 73.3,
414
+ "difficulty": "hard",
415
+ "depth": 2,
416
+ "total_masked": 74,
417
+ "is_cross_sheet": true,
418
+ "unique_patterns": 11,
419
+ "avg_complexity": 6.0,
420
+ "cross_refs": 10,
421
+ "visible_exemplar_ratio": 0.015,
422
+ "score_breakdown": {
423
+ "depth": 7,
424
+ "cross_sheet": 10,
425
+ "cell_count": 12.4,
426
+ "patterns": 15,
427
+ "complexity": 9.0,
428
+ "cross_refs": 10,
429
+ "vis_penalty": 9.8
430
+ }
431
+ }
432
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02476/ground_truth_full.json ADDED
@@ -0,0 +1,668 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "sheet": "Power West Price Off Peak-Tim",
4
+ "col": "K",
5
+ "row": 3,
6
+ "formula": "=E3-Q3",
7
+ "cached_value": 0,
8
+ "pattern_id": "pf_0000",
9
+ "layer": 1
10
+ },
11
+ {
12
+ "sheet": "Power West Price Off Peak-Tim",
13
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+ "prompt_cn": "这份 CREST Solar version 1.2 工作簿用于光伏项目的财务输入,里面包括 Performance、Cost、Operating、Tax & Financing Inputs、Summary Results、Outputs Summary、Annual Project Cash Flows、Returns & Other Metrics、Tariff or Market Value 和 Operating Expenses 等部分。为了季度预算审核 / 财年收尾文件,请补全 Complex Inputs 工作表中 Project Year 列的空白项,位置是 C130:C158。相关的项目年份需要先填写好,后面的现金流和指标部分才便于查看。请将完成后的工作簿保存为 .xlsx 文件。",
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119
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123
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124
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125
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126
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127
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128
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129
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130
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131
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132
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133
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135
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147
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160
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167
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168
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169
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170
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+ {
48
+ "sheet": "RESULTS 1",
49
+ "col": "C",
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56
+ {
57
+ "sheet": "CALCS",
58
+ "col": "D",
59
+ "row": 3,
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+ "formula": "=COUNTIFS(Table1[TIME],\">=\"&A3,Table1[TIME],\"<\"&B3)",
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64
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65
+ {
66
+ "sheet": "CALCS",
67
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68
+ "row": 4,
69
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73
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74
+ {
75
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+ "col": "D",
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+ "prompt_en": "The academic records sheet \"Total Hours and Weeks\" lays out weekly class scheduling details, with columns such as Week, Class, Room, Class start, Non-teaching, Public holiday, and Class 1 through Class 5. Please complete the blank entries in the \"Number of classes\" column on that sheet, specifically J14:J16, J25:J27, J36:J38, J47:J49, J58:J60, J69:J71, J80:J82, J91:J93, J102:J104, and J113:J115. The class-session columns need to be in place for each week before the Number of classes entries are meaningful. Please save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "“Total Hours and Weeks” 这张学籍记录表按周列出了课程安排信息,包含 Week、Class、Room、Class start、Non-teaching、Public holiday,以及 Class 1 到 Class 5 等列。请补全该工作表中 “Number of classes” 列的空白项,位置是 J14:J16、J25:J27、J36:J38、J47:J49、J58:J60、J69:J71、J80:J82、J91:J93、J102:J104 和 J113:J115。每周的课程节次列需要先对应完整,这样 Number of classes 中的内容才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
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+ "reason": "The ground-truth formulas are deterministic and consistent with the source workbook: J3:J5 pull the corresponding entries from the 2023 sheet, and the layer-1 targets propagate those values through the repeated weekly Number of classes blocks. Cached values match the referenced formulas shown."
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+ "reason": "The NL description clearly names the workbook sheet, the column to complete, and the exact target ranges. It also gives enough domain context about weekly class scheduling to orient the solver."
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+ "reason": "The relevant source data and formulas for this task appear sound, with meaningful repeated scheduling blocks and no evidence of corruption affecting the masked targets. There are some broader workbook quirks in later formulas, such as references near or beyond the apparent used range, but they do not affect this task’s target chain."
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+ "reason": "The prompt sounds like a plausible spreadsheet-completion request and avoids benchmark jargon. It is slightly formal and generic, but still natural enough for a workplace setting."
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+ "verdict": "RELEASE",
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+ "verdict_reason": "High-quality task: clean mask, correct GT, explicit target ranges, and sufficient visible evidence for chain reconstruction. Minor source-workbook quirks are unrelated to the target chain.",
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+ "publish_decision": "YES",
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+ "release_tier": "GOLD",
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44
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+ "first_row_label": "Class 1",
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+ "last_row_label": "End time"
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+ ],
49
+ "cell_count": 30,
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+ "formula_families": []
51
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+ "prerequisite_steps": [
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+ {
54
+ "layer": 2,
55
+ "regions": [
56
+ {
57
+ "sheet": "Total Hours and Weeks",
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+ "column": "J",
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+ "column_header": "Number of classes",
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+ "sheets_involved": [
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+ "Total Hours and Weeks"
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+ ]
80
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02551/task_meta.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "fcb_id": "FCB-02551",
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+ "task_id": "cross_sheet__dag_68901fe2da82",
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+ "tier": "T3_MEDIUM",
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+ "prompt_en": "The academic records sheet \"Total Hours and Weeks\" lays out weekly class scheduling details, with columns such as Week, Class, Room, Class start, Non-teaching, Public holiday, and Class 1 through Class 5. Please complete the blank entries in the \"Number of classes\" column on that sheet, specifically J14:J16, J25:J27, J36:J38, J47:J49, J58:J60, J69:J71, J80:J82, J91:J93, J102:J104, and J113:J115. The class-session columns need to be in place for each week before the Number of classes entries are meaningful. Please save the completed workbook as an .xlsx file.",
10
+ "prompt_cn": "“Total Hours and Weeks” 这张学籍记录表按周列出了课程安排信息,包含 Week、Class、Room、Class start、Non-teaching、Public holiday,以及 Class 1 到 Class 5 等列。请补全该工作表中 “Number of classes” 列的空白项,位置是 J14:J16、J25:J27、J36:J38、J47:J49、J58:J60、J69:J71、J80:J82、J91:J93、J102:J104 和 J113:J115。每周的课程节次列需要先对应完整,这样 Number of classes 中的内容才有意义。请将完成后的工作簿保存为 .xlsx 文件。",
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+ "D1": 5,
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+ "frontier_hardness": 2,
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+ },
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+ "source_file_id": "812427d1673137618-roster-calculations-trying-to-count-number-of-weeks-worked-calendar-hd",
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+ "inferred_domain": "education",
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+ "domain_confidence": 0.25,
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+ "name": "2023",
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+ "header_info": null
35
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+ {
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+ "name": "Total Hours and Weeks",
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+ "used_range": "A1:P122",
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+ "col_count": 16,
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+ "has_header": false,
42
+ "title_hint": "Total Hours and Weeks",
43
+ "header_info": null
44
+ }
45
+ ]
46
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02577/audit.json ADDED
@@ -0,0 +1,418 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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18
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+ "detail": "mask_last=80720B, src=98096B"
24
+ },
25
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26
+ "check": "dirty_family",
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+ {
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32
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33
+ "detail": "ratio=2.0 (total=10, final=5)"
34
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35
+ {
36
+ "check": "dedup_gate",
37
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38
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39
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+ "check": "gt_uniqueness",
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43
+ "detail": "5 unique values across 10 cells"
44
+ },
45
+ {
46
+ "check": "tail_artifact",
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48
+ "detail": "0 bad values"
49
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+ "check": "duplicate_lookup_tie_break",
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+ "volatile_funcs": {
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90
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+ "missing_sheets": {
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95
+ "count": 0,
96
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97
+ },
98
+ "circular_refs": {
99
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100
+ "cycle_cells": []
101
+ }
102
+ }
103
+ },
104
+ {
105
+ "check": "uniqueness_deep",
106
+ "pass": true,
107
+ "severity": "ok",
108
+ "detail": "clean"
109
+ }
110
+ ]
111
+ },
112
+ "post_nl_validate": {
113
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114
+ "validate_pass": true,
115
+ "hard_fails": 0,
116
+ "soft_warns": 2,
117
+ "checks": [
118
+ {
119
+ "check": "cell_range_match",
120
+ "pass": true,
121
+ "detail": "contract=2, prompt=1, missing=0",
122
+ "missing_ranges": [],
123
+ "severity": "OK"
124
+ },
125
+ {
126
+ "check": "cell_count_match",
127
+ "pass": true,
128
+ "detail": "no explicit total found; skipping (natural format)",
129
+ "severity": "OK"
130
+ },
131
+ {
132
+ "check": "step_count_match",
133
+ "pass": true,
134
+ "detail": "contract=1, no explicit steps found (v5 natural format)",
135
+ "severity": "OK"
136
+ },
137
+ {
138
+ "check": "sheet_name_match",
139
+ "pass": false,
140
+ "detail": "contract=['Summary TOTY 23-24', 'Team of the Year 23-24 (Salah)'], missing=['Team of the Year 23-24 (Salah)']",
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+ "severity": "INFO"
142
+ },
143
+ {
144
+ "check": "no_formula_leak",
145
+ "pass": true,
146
+ "detail": "0 formula leaks",
147
+ "severity": "OK"
148
+ },
149
+ {
150
+ "check": "no_value_leak",
151
+ "pass": true,
152
+ "detail": "0 value leaks out of 5 GT cells",
153
+ "severity": "OK"
154
+ },
155
+ {
156
+ "check": "final_target_first",
157
+ "pass": true,
158
+ "detail": "no explicit final target marker (natural format)",
159
+ "severity": "OK"
160
+ },
161
+ {
162
+ "check": "output_format",
163
+ "pass": true,
164
+ "detail": "output format found",
165
+ "severity": "OK"
166
+ },
167
+ {
168
+ "check": "header_in_prompt",
169
+ "pass": true,
170
+ "detail": "no column headers found in prompt",
171
+ "severity": "OK"
172
+ },
173
+ {
174
+ "check": "hint_specificity",
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+ "pass": true,
176
+ "detail": "clean",
177
+ "severity": "OK"
178
+ },
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+ {
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+ "check": "evidence_scope",
181
+ "pass": false,
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+ "detail": "referenced=1 mentioned=0 missing=1 [Team of the Year 23-24 (Salah)]",
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+ "severity": "SOFT_WARN"
184
+ },
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+ {
186
+ "check": "exemplar_consistency",
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+ "pass": true,
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+ "severity": "OK",
189
+ "detail": "checked 2 col groups; CONFLICTS: Summary TOTY 23-24!Q9: visible='='Team of the Year 23-24 (Alif' vs GT pattern='='Team of the Year #-# (Salah)'; Summary TOTY 23-24!Q10: visible='='Team of the Year 23-24 (Alif' vs GT pattern='='Team of the Year #-# (Salah)'"
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+ },
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+ {
192
+ "check": "nl_gt_operation_consistency",
193
+ "pass": false,
194
+ "detail": "GT funcs: ['VLOOKUP']; MISMATCHES: GT uses VLOOKUP but NL doesn't mention any of: find, look up, lookup, match",
195
+ "severity": "SOFT_WARN"
196
+ },
197
+ {
198
+ "check": "unmatched_default_rule",
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+ "pass": true,
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+ "detail": "no default-rule phrase found in NL",
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+ "severity": "OK"
202
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204
+ "check": "volatile_function_freeze",
205
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+ "detail": "volatile_cells=0",
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+ "severity": "OK"
208
+ },
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+ {
210
+ "check": "direct_answer_leakage",
211
+ "pass": true,
212
+ "detail": "0 leaks out of 10 GT cells (0%)",
213
+ "severity": "OK"
214
+ }
215
+ ]
216
+ },
217
+ "pre_nl_local": {
218
+ "local_total": 58,
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+ "local_label": "PENDING_NL",
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+ "hard_fail_flags": [],
221
+ "warnings": [
222
+ "release_verdict_not_keep",
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+ "nl_missing"
224
+ ],
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+ "local_subscores": {
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231
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232
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233
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234
+ }
235
+ }
236
+ },
237
+ "verify": {
238
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239
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242
+ "warnings": [],
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+ "checks": {
244
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245
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246
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248
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249
+ "trivial_gt": {
250
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251
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252
+ "gt_type_consistency": {
253
+ "types": {
254
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256
+ "mixed": false
257
+ },
258
+ "empty_gt": {
259
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260
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261
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262
+ }
263
+ },
264
+ "src_chain": {
265
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266
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269
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270
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275
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280
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282
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283
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285
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287
+ },
288
+ "circular_refs": {
289
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290
+ "cycle_cells": []
291
+ }
292
+ },
293
+ "required_chain_scope": {
294
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+ "error_cells_in_other": 0,
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+ }
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+ },
301
+ "solver_visibility": {
302
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+ "depth": 2,
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+ "warnings": [],
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+ "checks": {
309
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310
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311
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313
+ },
314
+ "orphan_masks": {
315
+ "count": 0,
316
+ "details": []
317
+ },
318
+ "self_contained": {
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+ }
321
+ }
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+ },
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+ "block_reasons": [],
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+ "checks": {
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+ "pattern_coverage": {
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+ "zero_exemplar_patterns": {
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+ "pass": true,
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+ "patterns": []
337
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+ "low_exemplar_patterns": {
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340
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341
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+ "func_coverage": {
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+ "VLOOKUP": {
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+ "total_masked": 5,
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351
+ }
352
+ }
353
+ },
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+ "shortcut": {
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+ "shortcut_risk": 0.2,
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+ "flags": [
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+ {
358
+ "code": "SC3",
359
+ "description": "Copy-from-visible: 1/10 GT cells have nearby visible formula clones",
360
+ "affected_cells": 1,
361
+ "severity": "low"
362
+ }
363
+ ]
364
+ },
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+ "release_audit": {
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+ "surface_single_sheet": false,
367
+ "surface_sheets": [
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+ "Summary TOTY 23-24",
369
+ "Team of the Year 23-24 (Salah)"
370
+ ],
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+ "cross_sheet_actual": true,
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+ "cross_sheet_ref_count": 5,
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+ "referenced_sheets": [
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+ "Team of the Year 23-24 (Salah)"
375
+ ],
376
+ "target_shape": "summary_block",
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+ "layer_sizes": [
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+ 5,
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+ 5
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+ ],
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+ "mask_last_total_cells": 10,
382
+ "layer_growth_ratios": [
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+ 1.0
384
+ ],
385
+ "pattern_dominance_ratio": 0.5,
386
+ "visible_clone_regions": 11,
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+ "nearby_visible_clone_regions": 1,
388
+ "nearby_visible_clone_rows": 4,
389
+ "nearby_visible_clone_ratio": 0.8,
390
+ "promptability_score": 0.6,
391
+ "release_reasons": [
392
+ "parallel_block_leakage"
393
+ ],
394
+ "release_verdict": "REBUILD_REQUIRED"
395
+ }
396
+ },
397
+ "difficulty": {
398
+ "task_id": "cross_sheet__dag_81b457f99057",
399
+ "difficulty_score": 40.5,
400
+ "difficulty": "medium",
401
+ "depth": 2,
402
+ "total_masked": 10,
403
+ "is_cross_sheet": true,
404
+ "unique_patterns": 2,
405
+ "avg_complexity": 3.0,
406
+ "cross_refs": 5,
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+ "visible_exemplar_ratio": 0.861,
408
+ "score_breakdown": {
409
+ "depth": 7,
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+ "cross_sheet": 10,
411
+ "cell_count": 6.6,
412
+ "patterns": 6,
413
+ "complexity": 4.5,
414
+ "cross_refs": 5,
415
+ "vis_penalty": 1.4
416
+ }
417
+ }
418
+ }
FormulaCascade_Benchmark_eval_200/T3_MEDIUM/internal/FCB-02577/ground_truth_full.json ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "sheet": "Summary TOTY 23-24",
4
+ "col": "Q",
5
+ "row": 38,
6
+ "formula": "='Team of the Year 23-24 (Salah)'!N21",
7
+ "cached_value": "Liverpool FC",
8
+ "pattern_id": "pf_0044",
9
+ "layer": 1
10
+ },
11
+ {
12
+ "sheet": "Summary TOTY 23-24",
13
+ "col": "Q",
14
+ "row": 39,
15
+ "formula": "='Team of the Year 23-24 (Salah)'!N22",
16
+ "cached_value": "Arsenal FC",
17
+ "pattern_id": "pf_0044",
18
+ "layer": 1
19
+ },
20
+ {
21
+ "sheet": "Summary TOTY 23-24",
22
+ "col": "Q",
23
+ "row": 40,
24
+ "formula": "='Team of the Year 23-24 (Salah)'!N23",
25
+ "cached_value": "Chelsea FC",
26
+ "pattern_id": "pf_0044",
27
+ "layer": 1
28
+ },
29
+ {
30
+ "sheet": "Summary TOTY 23-24",
31
+ "col": "Q",
32
+ "row": 41,
33
+ "formula": "='Team of the Year 23-24 (Salah)'!N24",
34
+ "cached_value": "Manchester City",
35
+ "pattern_id": "pf_0044",
36
+ "layer": 1
37
+ },
38
+ {
39
+ "sheet": "Summary TOTY 23-24",
40
+ "col": "Q",
41
+ "row": 42,
42
+ "formula": "='Team of the Year 23-24 (Salah)'!N25",
43
+ "cached_value": "[Person_96]",
44
+ "pattern_id": "pf_0044",
45
+ "layer": 1
46
+ },
47
+ {
48
+ "sheet": "Team of the Year 23-24 (Salah)",
49
+ "col": "N",
50
+ "row": 21,
51
+ "formula": "=VLOOKUP(M21,CENTERBACK,2,FALSE)",
52
+ "cached_value": "Liverpool FC",
53
+ "pattern_id": "pf_0003",
54
+ "layer": 2
55
+ },
56
+ {
57
+ "sheet": "Team of the Year 23-24 (Salah)",
58
+ "col": "N",
59
+ "row": 22,
60
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