task_lite_clean_cn/108/metadata.json

{
  "absolute_id": 108,
  "language": "cn",
  "persona": "Operations Manager",
  "task": "公司使用 Superstore 销售管理系统，数据分散在多个目录中。请结合 /销售管理/区域销售数据/ 目录下各区域的销售数据，结合 /销售管理/产品信息/ 中的产品目录和 /销售管理/客户档案/ 中的客户信息，按'Category×Region'和'Category×Segment'两个维度做交叉汇总（销售额、利润、订单数），找出利润率最高和最低的Category，同时分析折扣≥50%的订单的利润情况（是否亏损），最终生成一份 Regional_Sales_Analysis_Report.md 保存到 /销售管理/ 目录下。",
  "task_diff": "中等（步骤不超过10步且包含协同类型2）",
  "output_files": [
    "Regional_Sales_Analysis_Report.md"
  ],
  "rubrics": [
    "报告文件 Regional_Sales_Analysis_Report.md 是否成功生成，且完整覆盖任务要求：双维度交叉汇总、利润率极值分析、高折扣订单亏损分析？",
    "Category×Region 交叉汇总表中是否包含 12 个交叉分组（3个Category × 4个Region），并且包含销售额、利润、订单数三列数据？",
    "Category×Region 汇总中，Furniture in Central 的总销售额是否约等于 163797，总利润是否约等于 -2871.05？",
    "Category×Region 汇总中，Technology in West 的去重订单数（按唯一 Order ID 统计）是否约等于 490，总销售额是否约等于 251992？",
    "Category×Segment 交叉汇总表中是否包含 9 个交叉分组（3个Category × 3个Segment），并且包含销售额、利润、订单数三列数据？",
    "Category×Segment 汇总中，Technology in Consumer 的总利润是否约等于 70797.8，去重订单数（按唯一 Order ID 统计）是否约等于 809？",
    "品类汇总表中是否包含利润率（Profit/Sales）的计算列？",
    "报告中是否正确指出利润率最高的Category是Technology，其利润率约为17.4%？",
    "报告中是否正确指出利润率最低的 Category 是 Furniture，其利润率约为 2.5%？",
    "Office Supplies 品类的利润率是否在报告中显示为约 17.0%？",
    "报告中是否分析了折扣≥50%的订单，并且明确指出去重订单数（按唯一 Order ID 统计）是729单？",
    "报告中是否正确统计出折扣≥50%的亏损订单数（按唯一 Order ID 统计）是729单，亏损占比100%？",
    "报告中是否明确得出结论：折扣≥50%的订单整体是亏损的？",
    "报告中是否列出去重订单分析数为5,009单（按唯一 Order ID 统计），包含三个产品品类（Furniture, Office Supplies, Technology）？",
    "报告中是否列出包含三个客户细分（Consumer, Corporate, Home Office）和四个区域？",
    "报告中是否同时包含 Category×Region 和 Category×Segment 两个维度的交叉汇总表？",
    "所有交叉汇总表的销售额、利润、订单数计算是否准确，Markdown 表格格式是否清晰、维度完整？",
    "报告中产品 Category 分类数据是否准确，无错误分类？",
    "报告中客户 Segment 分组数据是否完整，无丢失 / 错误？",
    "报告中是否将折扣≥50% 的订单利润表现与全量订单整体利润水平进行了对比分析，完整呈现高折扣订单对整体利润的影响？",
    "报告中是否明确标注利润率的统一计算公式为「利润率 = 利润 ÷ 销售额 ×100%」，计算口径与分析要求一致？"
  ],
  "rubric_types": [
    "基础评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "过程评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "结果评估",
    "基础评估",
    "基础评估",
    "结果评估",
    "结果评估",
    "过程评估",
    "过程评估",
    "结果评估",
    "结果评估"
  ],
  "file_dep_graph": [
    {
      "from": "Central_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "Central_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "East_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "East_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "South_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "South_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "West_sales_2017.csv",
      "to": "product_catalog.json"
    },
    {
      "from": "West_sales_2017.csv",
      "to": "customer_list.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "Central_sales_2017.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "East_sales_2017.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "South_sales_2017.csv"
    },
    {
      "from": "high_discount_orders.csv",
      "to": "West_sales_2017.csv"
    }
  ],
  "data_manifest": [
    {
      "filename": "South_sales_2017.csv",
      "stored_relpath": "data/17ee05bd48ae132d_South_sales_2017.csv"
    },
    {
      "filename": "customer_list.csv",
      "stored_relpath": "data/beee38d5e0c9355a_customer_list.csv"
    },
    {
      "filename": "East_sales_2017.csv",
      "stored_relpath": "data/c2d3dffbb75da109_East_sales_2017.csv"
    },
    {
      "filename": "high_discount_orders.csv",
      "stored_relpath": "data/c363c758979eeb8f_high_discount_orders.csv"
    },
    {
      "filename": "product_catalog.json",
      "stored_relpath": "data/d0b178261dad8332_product_catalog.json"
    },
    {
      "filename": "Central_sales_2017.csv",
      "stored_relpath": "data/d0d2b76a2f69c499_Central_sales_2017.csv"
    },
    {
      "filename": "West_sales_2017.csv",
      "stored_relpath": "data/fc3ae30b1a23ad2c_West_sales_2017.csv"
    }
  ],
  "tested_capabilities": [
    "Workspace Exploration",
    "Result-Providing Files Utilization",
    "Semantic Content Relations Understanding",
    "Heterogeneous File Understanding"
  ]
}