File size: 3,640 Bytes
dc45511
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
{
  "absolute_id": 175,
  "persona": "Product Manager",
  "task": "Generate a fixed asset depreciation ledger (__ PH_12 __) based on the 2024 asset depreciation details and output it to the desktop",
  "task_diff": "medium",
  "output_files": [
    "Depreciation_Ledger_For_Fixed_Assets.xlsx"
  ],
  "rubrics": [
    "Have you successfully read all 5 depreciation statement CSV files (__ PH_10 __ to __ PH_9 __)?",
    "Whether the output file __ PH_12 __ contains 5 data records, corresponding to 5 months from January to May",
    "Whether the first line of the ledger contains the correct column header: month, asset number, asset name, purchase date, original value, current month depreciation, accumulated depreciation, net value, residual value rate",
    "Whether the asset number in the January 2024 record is FA-2023-001, and whether the asset name is office equipment 1",
    "Whether the depreciation for this month is ¥417 in the January 2024 record, and whether the accumulated depreciation is ¥2277",
    "Is the residual value rate of 5% for all records",
    "Whether the purchase date of all assets is retained: 2023-12-11, 2023-05-02, 2023-02-17, 2023-11-20, 2023-11-18",
    "Whether the data is sorted in ascending order by month (→January-May order)",
    "Whether all numeric fields (original value, current month depreciation, accumulated depreciation, net value) retain the original currency symbol ¥ prefix",
    "Whether the generated Excel file can be opened normally, and whether the sheet name is' fixed asset depreciation ledger '",
    "Whether each record in the ledger is correctly associated with the corresponding month information, and there is no mismatch",
    "Whether all 5 raw data are included in the ledger and none of the original records are missing"
  ],
  "rubric_types": [
    "Basic Evaluation",
    "Basic Evaluation",
    "Basic Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation"
  ],
  "file_dep_graph": [
    {
      "from": "Depreciation_Breakdown_2024_1.csv",
      "to": "Depreciation_Ledger_For_Fixed_Assets.xlsx"
    },
    {
      "from": "Depreciation_Breakdown_2024_2.csv",
      "to": "Depreciation_Ledger_For_Fixed_Assets.xlsx"
    },
    {
      "from": "Depreciation_Breakdown_2024_3.csv",
      "to": "Depreciation_Ledger_For_Fixed_Assets.xlsx"
    },
    {
      "from": "Depreciation_Breakdown_2024_4.csv",
      "to": "Depreciation_Ledger_For_Fixed_Assets.xlsx"
    },
    {
      "from": "Depreciation_Breakdown_2024_5.csv",
      "to": "Depreciation_Ledger_For_Fixed_Assets.xlsx"
    }
  ],
  "data_manifest": [
    {
      "filename": "Depreciation_Breakdown_2024_5.csv",
      "stored_relpath": "data/43c3f049437012df_Depreciation_Breakdown_2024_5.csv"
    },
    {
      "filename": "Depreciation_Breakdown_2024_1.csv",
      "stored_relpath": "data/c18fdec4b127d343_Depreciation_Breakdown_2024_1.csv"
    },
    {
      "filename": "Depreciation_Breakdown_2024_2.csv",
      "stored_relpath": "data/19f1558770101d64_Depreciation_Breakdown_2024_2.csv"
    },
    {
      "filename": "Depreciation_Breakdown_2024_3.csv",
      "stored_relpath": "data/a50a9badb09b0574_Depreciation_Breakdown_2024_3.csv"
    },
    {
      "filename": "Depreciation_Breakdown_2024_4.csv",
      "stored_relpath": "data/1282d3320b36d138_Depreciation_Breakdown_2024_4.csv"
    }
  ],
  "tested_capabilities": [
    "Workspace Exploration",
    "Result-Providing Files Utilization"
  ]
}