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  1. .gitattributes +6 -0
  2. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/audit.json +448 -0
  3. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_full.json +110 -0
  4. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_target.json +50 -0
  5. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/nl_task.json +26 -0
  6. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/release_qc.json +58 -0
  7. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/target_contract.json +60 -0
  8. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/audit.json +416 -0
  9. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/ground_truth_full.json +0 -0
  10. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/ground_truth_target.json +4058 -0
  11. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/layers.json +1658 -0
  12. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/mask_last.xlsx +3 -0
  13. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/nl_task.json +26 -0
  14. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/release_qc.json +44 -0
  15. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/src.xlsx +3 -0
  16. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/target_contract.json +1581 -0
  17. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/task_meta.json +162 -0
  18. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/audit.json +411 -0
  19. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/ground_truth_full.json +128 -0
  20. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/ground_truth_target.json +58 -0
  21. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/layers.json +163 -0
  22. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/mask_last.xlsx +0 -0
  23. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/nl_task.json +26 -0
  24. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/release_qc.json +57 -0
  25. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/src.xlsx +0 -0
  26. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/target_contract.json +63 -0
  27. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/task_meta.json +73 -0
  28. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/audit.json +408 -0
  29. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_full.json +128 -0
  30. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/ground_truth_target.json +58 -0
  31. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/layers.json +163 -0
  32. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/mask_last.xlsx +0 -0
  33. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/nl_task.json +26 -0
  34. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/release_qc.json +58 -0
  35. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/src.xlsx +0 -0
  36. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/target_contract.json +63 -0
  37. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08288/task_meta.json +73 -0
  38. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/audit.json +447 -0
  39. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/ground_truth_full.json +317 -0
  40. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/ground_truth_target.json +58 -0
  41. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/layers.json +142 -0
  42. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/mask_last.xlsx +3 -0
  43. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/nl_task.json +26 -0
  44. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/release_qc.json +58 -0
  45. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/src.xlsx +3 -0
  46. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/target_contract.json +117 -0
  47. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08315/task_meta.json +96 -0
  48. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/layers.json +163 -0
  49. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/mask_last.xlsx +3 -0
  50. FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08320/src.xlsx +3 -0
.gitattributes CHANGED
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_full.json ADDED
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/ground_truth_target.json ADDED
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/nl_task.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task_id": "cross_sheet__dag_aaf1b0ccb29b",
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+ "prompt_en": "The Points Table sheet is set up to track people’s Points Total alongside names like Wayne and Fred, with other visible fields in the workbook such as Name, Points, Place, Total, and Weeks Played. Please complete the blank entries in the Points Total column on the Points Table sheet, specifically E5:E10. Some of the other blank columns in the workbook support the Points Table, so the related player and points information needs to be in place before the Points Total entries are complete. Save the completed workbook as an .xlsx file.",
4
+ "prompt_cn": "“Points Table”工作表用于记录各个人员的“Points Total”，表中还能看到 Wayne、Fred 等姓名，工作簿里也有 Name、Points、Place、Total、Weeks Played 等字段。请补全“Points Table”工作表中“Points Total”列的空白项，具体是 E5:E10。工作簿中其他一些空白列会支撑“Points Table”的内容，因此相关的人员和积分信息需要先补齐，Points Total 才算完整。请将完成后的工作簿保存为 .xlsx 文件。",
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6
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+ "attempt": 3
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/release_qc.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "binary": true,
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+ "binary_reason": "Well-designed overall: clean chain mask, valid cross-sheet dependency, and enough visible structure to reconstruct the target formulas.",
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+ "D1": {
5
+ "score": 5,
6
+ "reason": "All masked cells are real in-range cells, the contract cells are fully masked, and there is no extra masking outside the contract. The preserved formula/cache-loss entries are openpyxl artifacts, not additional masking. Visible formulas in Points Table B and H provide structural clues but do not make the full task trivially copyable because Data!K totals still need to be reconstructed."
7
+ },
8
+ "D2": {
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+ "score": 5,
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+ "reason": "The final target formulas correctly reference the corresponding Data!K total cells row-by-row, and the cached values are consistent with the intended Data totals. The formulas are deterministic and unambiguous."
11
+ },
12
+ "D3": {
13
+ "score": 4,
14
+ "reason": "The NL clearly identifies the final cells to fill, Points Table!E5:E10, and explains that supporting blank columns elsewhere need to be completed. It is slightly vague because it does not explicitly name the Data sheet or describe the exact Total calculation, but the requested output range is unambiguous."
15
+ },
16
+ "D4": {
17
+ "score": 4,
18
+ "reason": "Using only mask_last.xlsx and the NL prompt, the task appears solvable. The Points Table has visible formulas in the Name and Weeks Played columns mapping rows to Data!A and Data!L, which gives a strong clue that Points Total should map to Data!K. Data!K is visibly headed Total, and nearby headers show repeated Place/Points structure plus Weeks Played formulas, supporting the inference that Total aggregates the visible Points columns. There is no direct visible exemplar for Data!K, so one minor inferential gap remains, but the root evidence is largely present.",
19
+ "d4_type": "ok"
20
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21
+ "D5": {
22
+ "score": 4,
23
+ "reason": "The source workbook appears structurally sound: no evidence of broken formulas, circular references, corrupted values, or phantom ranges. Headers are somewhat sparse and repetitive, but they are meaningful enough for the dataset’s purpose."
24
+ },
25
+ "D6": {
26
+ "score": 4,
27
+ "reason": "The NL sounds reasonably like a workplace request and avoids explicit benchmark jargon. It is a bit verbose and slightly artificial in phrasing such as specifying the exact range and mentioning workbook fields generically, but it remains natural enough."
28
+ },
29
+ "total": 26,
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+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality task with clean masking, correct ground truth, and sufficient visible evidence for a solver to reconstruct the cross-sheet dependency chain. Minor vagueness in the NL and lack of a direct Data!K exemplar do not prevent solvability.",
32
+ "frontier_hardness": {
33
+ "score": 2,
34
+ "reason": "This is a short depth-2 cross-sheet chain with two simple formula patterns. A frontier model should likely infer that Points Table totals reference Data totals and that Data totals aggregate the Points columns. It requires some reasoning but is not especially difficult.",
35
+ "fail_reason": "easy",
36
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37
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+ "_prompt_chars": 11831,
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+ "publish_decision": "YES",
56
+ "release_tier": "SILVER",
57
+ "hard_block_reasons": []
58
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08249/target_contract.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "task_id": "cross_sheet__dag_aaf1b0ccb29b",
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+ "final_target": {
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+ "sheet": "Points Table",
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+ "first_row_label": "[Person_1]",
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+ "last_row_label": "Fred"
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+ "sheet": "Data",
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+ "first_row_label": "[Person_1]",
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+ "cell_count": 6
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+ "sheets_involved": [
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+ "Data",
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+ "Points Table"
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+ ]
60
+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08269/audit.json ADDED
@@ -0,0 +1,416 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "check": "header_grounding",
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24
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+ "check": "dirty_family",
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+ "check": "gt_uniqueness",
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+ "detail": "770 unique values across 1521 cells"
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+ {
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+ "check": "tail_artifact",
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+ "pass": true,
48
+ "detail": "0 bad values"
49
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50
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51
+ "check": "unrecoverable_leaf",
52
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53
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54
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55
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57
+ "check": "adjacent_column_leak",
58
+ "pass": true,
59
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60
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61
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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",
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+ "sub_checks": {
77
+ "error_cells": {
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79
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+ "cells": []
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84
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85
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87
+ "volatile_funcs": {
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89
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90
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91
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92
+ "missing_sheets": {
93
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94
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95
+ "sheets": []
96
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97
+ "circular_refs": {
98
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99
+ "cycle_cells": []
100
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101
+ }
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
+ "validate_pass": true,
114
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115
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116
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117
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118
+ "check": "cell_range_match",
119
+ "pass": true,
120
+ "detail": "contract=9, prompt=4, 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=['Tax Bill Summary'], 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 507 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": false,
181
+ "detail": "referenced=3 mentioned=1 missing=2 [GE16FEB14 Tax Bill Unfudged, GE16FEB14 Unfudged]",
182
+ "severity": "SOFT_WARN"
183
+ },
184
+ {
185
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+ "prompt_en": "On the Tax Bill Summary sheet, the FY 2016 tax bill view is organized by Location entries such as MPLS & ST PAUL, OTHER METRO, INNER, OUTER, and the NONMET categories, alongside revenue-related fields from the FY16 Feb Forecast and the 2014Tax Bill Changes section. For the fiscal year close-out review, please fill in the blank entries in the Equity column on Tax Bill Summary: AK9, AK11:AK19, and AK21:AK517. The workbook also includes related forecast material, so any supporting blank fields that the Equity entries rely on should be in place before the Equity column is finalized. Save the completed workbook as an .xlsx file.",
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+ "prompt_cn": "在“Tax Bill Summary”工作表中，这份 FY 2016 税单视图按 Location 条目整理，包括 MPLS & ST PAUL、OTHER METRO、INNER、OUTER 以及各类 NONMET 分类，并包含来自 “FY16 Feb Forecast” 和 “2014Tax Bill Changes” 部分的 Revenue 相关字段。为了 fiscal year close-out review，请填写“Tax Bill Summary”工作表中 Equity 列的空白项：AK9、AK11:AK19 和 AK21:AK517。工作簿里还包含相关的 forecast 内容，因此在最终完成 Equity 列之前，凡是这些 Equity 条目需要依赖的其他空白字段也应先补齐。请将完成后的工作簿保存为 .xlsx 文件。",
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+ "reason": "All 1521 contract cells are real in-range cells on Tax Bill Summary, exactly all are truly masked, and there is no extra masking outside contract. No phantom references appear in the masked coordinates. Visible neighboring formulas give structural clues, but not trivial copyability: AK depends on masked G/V, and G/V themselves require cross-sheet reconstruction, so zero-reason copying is not possible."
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+ "reason": "GT formulas for the final targets are internally consistent and match the visible src pattern: AK is uniformly V-G. Sample cached values are plausible against that rule, and no contradictory or non-deterministic formula behavior is indicated."
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+ "reason": "The NL clearly names the target sheet, column, and exact cells to fill, but it does not explicitly mention that Equity is computed as a difference between two other masked Equity columns, nor does it name the supporting sheets actually needed. Usable but under-informative."
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+ "reason": "Source workbook appears sound: no chain errors, no extra masking issues, no sign of circularity or broken formulas, and the supporting sheets have coherent headers and aligned data structures. Cross-sheet references are numerous but consistent."
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+ "D6": {
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+ "score": 4,
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+ "reason": "The request sounds mostly like a real spreadsheet completion task, with fiscal-year and review context. It is a bit generic and slightly stitched together, but not overtly benchmark-like."
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+ "total": 26,
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+ "verdict": "RELEASE",
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+ "verdict_reason": "High-quality task: clean masking, correct GT, solid source workbook, and solvable from visible structural evidence despite substantial difficulty. NL could be more explicit, but not enough to block release.",
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/mask_last.xlsx ADDED
Binary file (70.9 kB). View file
 
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/nl_task.json ADDED
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+ {
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+ "prompt_en": "The Power West Price Off-Peak sheet is part of an engineering price compilation with labels such as MID-COLUMBIA, COB, NP15, Cal-00, Cal-01, Cal-02, and the quarterly headings Q1-01 through Q4-01. In that sheet, please fill in the blank entries in the Q1 column, located in N16:N22. Some related blank period fields elsewhere in the workbook feed into this section, so those entries need to be in place before the Q1 column is meaningful. Please save the completed workbook as an .xlsx file.",
4
+ "prompt_cn": "“Power West Price Off-Peak”工作表是一个工程价格数据整理表的一部分，里面能看到 MID-COLUMBIA、COB、NP15、Cal-00、Cal-01、Cal-02，以及 Q1-01 到 Q4-01 等季度标题。请在这个工作表中补全 Q1 列里的空白项，位置是 N16:N22。工作簿其他位置的一些相关期间字段会影响这里的内容，因此这些条目需要先保持完整，Q1 列才有意义。请将补全后的工作簿保存为 .xlsx 文件。",
5
+ "quality_notes": "The prompt identifies the relevant sheet, column, and range, frames the workbook as an engineering technical data compilation using only visible labels, and mentions the natural cross-sheet dependency without giving operational hints or formulas.",
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+ "post_check_issues": [],
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+ "prompt_mode": "minimal",
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+ "version": "v7",
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FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/release_qc.json ADDED
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+ {
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+ "binary": true,
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+ "binary_reason": "Well-designed: clean chain mask, real cells, correct target/prerequisite structure, and visible evidence is sufficient to reconstruct both formula patterns.",
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+ "D1": {
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+ "score": 5,
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+ "reason": "All 14 contract cells are truly masked, no contract cells were missed, and there is no extra masking outside the contract. The cells are within the actual sheet range. Although adjacent formulas provide strong exemplars, the overall task is not zero-reasoning copy/paste because the prerequisite N4:N10 formulas require inferring the Q1 cross-sheet P2 ranges from neighboring quarterly patterns."
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+ "D2": {
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+ "reason": "The layer-1 ground-truth formulas follow the visible row/column subtraction pattern exactly: N16:N22 subtract N27:N33 from N4:N10 respectively. The cached values are consistent with those formulas, and the formulas are deterministic with no volatile or ambiguous logic."
11
+ },
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+ "reason": "The NL clearly identifies the sheet, the Q1 column, and the final target range N16:N22. It also hints that related blank fields feed the result. Minor weakness: it does not explicitly name the prerequisite range N4:N10 or the P2 cross-sheet source, so the solver must discover that structure from the workbook."
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+ "reason": "Using only mask_last.xlsx and the prompt, the task is reconstructible. The final target formulas are strongly indicated by adjacent row formulas such as O16=O4-O27, P16=P4-P27, etc., implying N16=N4-N27 and the analogous rows. The prerequisite formulas N4:N10 are also inferable from surrounding H:M and O:Q formulas: N is the Q1 column, and adjacent Q2/Q3/Q4 formulas expose the repeating P2 quarterly range structure. The main gap is that the exact long P2 range list for Q1 must be inferred by pattern from neighboring columns rather than directly shown, but the evidence is present.",
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+ "d4_type": "ok"
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+ "D5": {
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+ "score": 4,
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+ "reason": "The source workbook appears broadly sound for the audited task: formulas are consistent, sheet dimensions are valid, and the relevant headers/sections are coherent. Minor data-quality concern: the overview shows #REF! headers on unrelated Tim sheets, suggesting some workbook-level broken references or artifacts, though they do not affect this dependency chain."
24
+ },
25
+ "D6": {
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+ "score": 4,
27
+ "reason": "The NL sounds mostly like a realistic workplace request and avoids benchmark jargon. It is slightly verbose and generic, especially the long label list and the vague phrase about related blank period fields, but remains natural enough."
28
+ },
29
+ "total": 26,
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+ "verdict": "RELEASE",
31
+ "verdict_reason": "High-quality task with clean masking, correct GT, and sufficient visible structural evidence. Minor issues are limited to NL specificity and unrelated workbook #REF! artifacts.",
32
+ "frontier_hardness": {
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+ "reason": "Medium difficulty. A frontier model must reconstruct a two-step dependency chain and infer a long cross-sheet Q1 averaging formula from adjacent quarterly P2-reference patterns before applying the final subtraction formulas. However, there are only two formula patterns and strong local exemplars, so a strong model should often succeed with careful reasoning.",
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+ "is_valid_hardness": true
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+ "elapsed": 150.8,
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+ "publish_decision": "YES",
55
+ "release_tier": "SILVER",
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+ "hard_block_reasons": []
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+ }
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+ "ratio_total_vs_final": 2.0,
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+ "sheets_involved": [
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+ ]
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+ }
FormulaCascade_Benchmark_eval_200/T4_STANDARD/internal/FCB-08277/task_meta.json ADDED
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+ {
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+ "fcb_id": "FCB-08277",
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+ "prompt_cn": "“Power West Price Off-Peak”工作表是一个工程价格数据整理表的一部分，里面能看到 MID-COLUMBIA、COB、NP15、Cal-00、Cal-01、Cal-02，以及 Q1-01 到 Q4-01 等季度标题。请在这个工作表中补全 Q1 列里的空白项，位置是 N16:N22。工作簿其他位置的一些相关期间字段会影响这里的内容，因此这些条目需要先保持完整，Q1 列才有意义。请将补全后的工作簿保存为 .xlsx 文件。",
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+ "qc": {
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+ "verdict": "RELEASE",
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+ "inferred_domain": "engineering",
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