task_lite_clean_en/242/metadata.json

{
  "absolute_id": 242,
  "persona": "Backend Developer",
  "task": "Based on the traffic data file on the desktop, the indicators involving traffic are listed in a histogram by uploader, placed in \"__ PH_1 __\", and output to the/desktop/indicators directory",
  "task_diff": "medium",
  "output_files": [
    "Traffic_Metrics_Comparison.xlsx"
  ],
  "rubrics": [
    "Does the output file __ PH_1 __ contain 5 rows of post data corresponding to post_1, post_2, post_3, post_4, and post_5 post_id?",
    "Is the reach of post_5 in __ PH_1 __ equal to 164790000, impressions equal to 299200000, and saves equal to 3000600?",
    "Does __ PH_1 __ 's datasheet contain 7 columns of traffic metrics: reach, impressions, likes, comments, shares, saves, followers_gained?",
    "Is the saves value of post_4 equal to 1418600 and the followers_gained value equal to 345200?",
    "Is the likes value for post_2 equal to 2135200, the highest of all posts?",
    "Is a bar chart created for each traffic metric in __ PH_1 __?",
    "Does the post_id classification appear on the X axis of all histograms?",
    "Does the title of each bar chart contain the name of the corresponding metric?",
    "Is there a total of 7 histograms in __ PH_1 __?",
    "Does the output file __ PH_1 __ open properly and read the data?",
    "Is the column order in the data table post_id, reach, impressions, likes, comments, shares, saves, followers_gained?",
    "Are the shares of post_1 equal to 450440 and the shares of post_5 equal to 449660?",
    "Are comments on post_3 equal to 820850 and comments on post_5 equal to 220150?"
  ],
  "rubric_types": [
    "Basic Evaluation",
    "Outcome Evaluation",
    "Basic Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Outcome Evaluation",
    "Basic Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation"
  ],
  "file_dep_graph": [
    {
      "from": "post_1.json",
      "to": "Traffic_Metrics_Comparison.xlsx"
    },
    {
      "from": "post_2.json",
      "to": "Traffic_Metrics_Comparison.xlsx"
    },
    {
      "from": "post_3.json",
      "to": "Traffic_Metrics_Comparison.xlsx"
    },
    {
      "from": "post_4.json",
      "to": "Traffic_Metrics_Comparison.xlsx"
    },
    {
      "from": "post_5.json",
      "to": "Traffic_Metrics_Comparison.xlsx"
    }
  ],
  "data_manifest": [
    {
      "filename": "post_5.json",
      "stored_relpath": "data/ec5401fc796822dd_post_5.json"
    },
    {
      "filename": "post_1.json",
      "stored_relpath": "data/3825dafd3a9bc749_post_1.json"
    },
    {
      "filename": "post_2.json",
      "stored_relpath": "data/985fc3aff156f333_post_2.json"
    },
    {
      "filename": "post_3.json",
      "stored_relpath": "data/c89a22f515fac84a_post_3.json"
    },
    {
      "filename": "post_4.json",
      "stored_relpath": "data/d185c2595b30590b_post_4.json"
    }
  ],
  "tested_capabilities": [
    "Workspace Exploration",
    "Result-Providing Files Utilization",
    "Lineage Tracing",
    "Semantic Content Relations Understanding"
  ]
}