Update corrected lite tasks

task_lite_clean_cn/108/metadata.json

@@ -10,17 +10,17 @@
     "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 的总订单数是否约等于 599，总销售额是否约等于 251992？",
+    "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，订单数是否约等于 951？",
+    "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，并且明确指出总订单数是922单？",
-    "报告中是否正确统计出亏损订单数量是922单，亏损占比100%？",
+    "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？",
-    "报告中是否列出总订单分析数为9,994笔，包含三个产品品类（Furniture, Office Supplies, Technology）？",
+    "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？",

task_lite_clean_cn/258/data/3180b69c41a23331_2021 年员工生产与收支管理总表.xlsx

@@ -1,3 +1,3 @@
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-oid sha256:3180b69c41a23331a5e26a4b402af5c2cb4e6bff09c2d3bca1a5fb7a64578af7
-size 155166
+oid sha256:7a0210436f6b0e3a7b1ca1ad8ef1412519da448dc34532bd05cd8a9707be1fc4
+size 11235

task_lite_clean_cn/258/metadata.json

@@ -9,20 +9,20 @@
   "rubrics": [
     "《2021 年 1-2 月员工收支结算汇总报告.xlsx》文件是否存在且可正常读取？",
     "报告文件是否包含 exactly 3 个工作表，名称分别为“员工结算明细”“工种汇总统计”“异常数据说明”？",
-    "\"员工结算明细\" 工作表是否包含 8 列表头：员工姓名、工种、1 月出勤、2 月出勤、应发工资、借支总额、实发工资、银行卡号？",
-    "\"工种汇总统计\" 工作表是否包含 7 列表头：工种、员工人数、平均出勤天数(1月)、平均出勤天数(2月)、平均应发工资、总借支金额、平均实发工资？",
-    "\"异常数据说明\" 工作表是否包含 4 列表头：异常类型、员工姓名、异常详情、处理建议？",
-    "源文件实际为应收账款数据，是否在“异常数据说明”工作表中记录了数据来源异常说明？",
+    "“员工结算明细”工作表是否包含 8 列表头：员工姓名、工种、1 月出勤、2 月出勤、应发工资、借支总额、实发工资、银行卡号？",
+    "“工种汇总统计”工作表是否包含 7 列表头：工种、员工人数、平均出勤天数（1 月）、平均出勤天数（2 月）、平均应发工资、总借支金额、平均实发工资？",
+    "“异常数据说明”工作表是否包含 4 列表头：异常类型、员工姓名、异常详情、处理建议？",
+    "报告是否正确使用了源工作簿中的员工基础信息、月度考勤记录、借支流水和工资计算基准？",
     "所有工作表的表头是否都设置了加粗样式，便于区分数据区域？",
     "输出文件格式是否为 XLSX 格式，而非 DOCX 格式？",
-    "若存在员工数据，“工种汇总统计”是否按工种分组正确统计员工人数？",
-    "若存在员工数据，“工种汇总统计”中平均出勤天数计算是否为该工种所有员工出勤天数总和除以员工人数？",
-    "若存在员工数据，“工种汇总统计”中总借支金额是否为该工种所有员工借支总额累加，计算无算术错误？",
-    "若存在员工数据，1-2 月借支总额是否正确汇总了两个月所有借支记录的累加和？",
+    "“工种汇总统计”是否按工种分组正确统计员工人数？",
+    "平均出勤天数计算是否等于该工种所有员工出勤天数总和除以员工人数？",
+    "总借支金额是否等于该工种员工全部借支记录的累加，且没有算术错误？",
+    "1-2 月借支总额是否正确汇总了两个月所有借支记录的累加和？",
     "输出文件所有工作表的列宽是否已适当调整，确保表头文字完整显示？",
     "是否按照任务逻辑遵循了“出勤统计→工资计算→借支抵扣→结果汇总”的处理顺序？",
-    "输出文件是否包含所有指定核心字段，无缺失。",
-    "图表展示的数据与原始计算结果是否一致，无失真。"
+    "输出文件是否包含所有指定核心字段，无缺失？",
+    "如果包含图表，图表展示的数据是否与原始计算结果一致、无失真？"
   ],
   "rubric_types": [
     "基础评估",

task_lite_clean_cn/274/metadata.json

@@ -1,7 +1,7 @@
 {
   "absolute_id": 274,
   "persona": "Logistics Manager",
-  "task": "基于生产企业计件工资管理系统中的员工基础信息、工序记录、不合格品数据，生成一份月度员工薪资核算与生产质量分析报告。需关联员工个人信息、工序明细、不合格记录等多维度数据，计算每位员工的实际应发工资（扣除不合格品影响），分析各部门生产效率与质量水平，并生成包含数据表格、统计结论的 Markdown 报告，保存到 / 生产管理 / 薪资核算 目录下。",
+  "task": "基于生产企业计件工资管理系统中的员工基础信息、工序记录、不合格品数据，生成一份月度员工薪资核算与生产质量分析报告。需关联员工个人信息、工序明细、不合格记录等多维度数据，计算每位员工的实际应发工资（扣除不合格品影响），分析各部门生产效率与质量水平，并生成包含数据表格、统计结论的 Word（docx）报告，保存到 /生产管理/薪资核算/ 目录下。",
   "task_diff": "中等（步骤不超过10步且包含协同类型2）",
   "output_files": [
     "月度员工薪资核算与生产质量分析报告.docx"
@@ -15,12 +15,12 @@
     "钱七（员工编号5）的总不合格数量是否为 2，不合格率是否为 0.33%，实际应发是否为 10467.27 元？",
     "报告中是否包含 3 个部门的汇总统计数据，分别是生产一部、生产二部、生产三部？",
     "生产二部总产量是否为 1292 件，总产值是否为 18278.1 元，是否为三个部门中总产值最高的部门？",
-    "生产三部合格率是否为 98.21%，最高是否为生产二部？",
-    "生产一部合格率是否为 96.35%，最低是否为生产三部？",
+    "生产二部合格率是否为 98.30%，是否为三个部门中合格率最高的部门？",
+    "生产一部合格率是否为 96.91%，生产三部合格率是否为 96.12%，且生产三部是否为三个部门中合格率最低的部门？",
     "全公司总不合格品总数是否为 63 件？",
     "全公司平均合格率是否为 97.51%？",
     "报告中是否包含不合格原因分布统计表格，列出各原因对应的不合格数量？",
-    "主要不合格原因是否为尺寸超差，不合格数量是否为 18 件，占比是否为 28.6%？",
+    "主要不合格原因是否为零件缺失，不合格数量是否为 21 件，占比是否为 33.3%？",
     "报告中是否明确说明了薪资计算逻辑：实际金额 = 总完成金额 × (1 - 不合格率/100)，实际提成 = 实际金额 × 提成比例(%)？",
     "报告中是否通过员工编号实现了员工信息表、工序记录明细表、不合格明细表、员工提成汇总表四张表的关联？",
     "报告中是否给出了明确的分析结论，包含生产效率分析和质量水平分析两个部分？",

task_lite_clean_cn/288/data/539346a46f15f64e_TOP10 宝贝情况表_.xlsx

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task_lite_clean_cn/288/data/a2d99e0ad53db64f_服装产品拍摄表_.xlsx

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task_lite_clean_cn/288/data/abe56cdbcab9c628_问题产品跟踪_.xlsx

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task_lite_clean_cn/288/metadata.json

@@ -1,49 +1,43 @@
 {
   "absolute_id": 288,
   "persona": "Operations Manager",
-  "task": "基于产品相关文件，整合生成一份《2015 年 Q1 服装电商运营全景分析报告.md》，需包含商品表现、竞品对比、风险管控、活动规划、视觉标准五大模块，保存至/服装电商/运营分析目录下。",
+  "task": "基于三份服装电商源工作簿，整合生成一份《2015 年 Q1 服装电商运营全景分析报告.md》。报告需包含商品表现、竞品对比、风险管控、活动规划、视觉标准五大模块，保存至 /服装电商/运营分析 目录下。若竞品对比或活动规划内容无法从源工作簿直接获得，应明确标注为假设或建议。",
   "task_diff": "中等（步骤不超过10步且包含协同类型2）",
   "output_files": [
     "2015 年 Q1 服装电商运营全景分析报告.md"
   ],
   "rubrics": [
-    "报告文件名为 2015 年 Q1 服装电商运营全景分析报告.md，且使用Markdown格式编写？",
-    "报告是否完整包含商品表现、竞品对比、风险管控、活动规划、视觉标准五大模块？",
-    "商品表现模块中是否包含TOP10热销商品表格，且表格包含PV、UV、转化率、成交金额、客单价五列数据？",
-    "商品表现分析中是否指出打底裤转化率为8.92%，是TOP10商品中转化率最高的？",
-    "商品表现结论中是否说明TOP10商品占据店铺总流量的42%？",
-    "竞品对比模块是否包含核心竞品价格对比表格，列出我们定价与竞品定价的差异？",
-    "竞品对比分析中是否提到竞品淘客佣金比例在15-20%，高于我们的10-12%？",
-    "竞品对比结论是否建议Q2将淘客佣金提高至15%，增加直通车预算20%？",
-    "风险管控模块是否包含问题产品类型统计表，列出线头问题占比42.86%？",
-    "风险管控模块是否包含四项改进措施和四项风险管控建议？",
-    "风险管控建议中是否要求单款商品月度投诉超过3起自动触发预警？",
-    "活动规划模块是否包含Q1两次聚划算活动的回顾表格，1月活动盈利2.8万元？",
-    "活动规划模块是否包含Q2三个月的活动规划建议表？",
-    "活动规划中是否提出备货量为预估销量乘以1.2预留20%安全库存？",
-    "视觉标准模块是否包含不同品类拍摄规范表格，列出连衣裙需要5张主图？",
-    "视觉标准中是否要求主图尺寸为800×800像素纯白色背景？",
-    "视觉标准中是否规定详情页首屏为场景化展示，第二屏为核心卖点？",
-    "报告末尾是否包含总结与五条运营建议？",
-    "报告是否有清晰的Markdown标题层级（# 一级标题、## 二级标题）？"
+    "报告文件是否命名为 2015 年 Q1 服装电商运营全景分析报告.md，且使用 Markdown 格式编写？",
+    "报告是否包含五个指定模块：商品表现、竞品对比、风险管控、活动规划、视觉标准？",
+    "报告是否明确识别并使用了三份源工作簿：TOP10 宝贝情况表、问题产品跟踪、服装产品拍摄表？",
+    "商品表现模块是否包含 TOP10 热销商品表格，且表格包含 PV、UV、转化率、成交金额、客单价五列数据？",
+    "商品表现模块是否正确指出 leggings 转化率为 8.92%，是 TOP10 商品中转化率最高的？",
+    "商品表现模块是否避免编造无来源支撑的店铺总流量占比，或在使用时明确标注为假设？",
+    "风险管控模块是否包含问题产品类型统计表，并正确指出线头问题占比为 42.86%？",
+    "风险管控模块是否包含源工作簿中的四项改进动作？",
+    "风险管控模块是否包含源工作簿中的四项风控建议，并包含单款商品月度投诉 >=3 起自动预警规则？",
+    "视觉标准模块是否包含不同产品类别的拍摄规范表？",
+    "视觉标准模块是否正确指出连衣裙需要 5 张主图？",
+    "视觉标准模块是否正确指出主图背景为纯白色且主图尺寸为 800 x 800 像素？",
+    "视觉标准模块是否正确指出详情页首屏为场景展示、第二屏为核心卖点？",
+    "竞品对比和活动规划模块是否清楚区分源文件事实、假设和建议？",
+    "报告末尾是否包含简明总结和可执行的运营建议？",
+    "报告是否有清晰的 Markdown 标题层级（# 一级标题、## 二级标题）？"
   ],
   "rubric_types": [
     "基础评估",
     "结果评估",
+    "过程评估",
     "结果评估",
     "结果评估",
+    "过程评估",
     "结果评估",
     "结果评估",
     "结果评估",
-    "过程评估",
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-    "过程评估",
-    "过程评估",
     "结果评估",
     "结果评估",
-    "过程评估",
     "结果评估",
-    "基础评估",
     "过程评估",
     "结果评估",
     "基础评估"

task_lite_clean_cn/289/data/539346a46f15f64e_TOP10 宝贝情况表_.xlsx

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task_lite_clean_cn/289/data/80d7d58006691df5_服装产品拍摄表.xlsx

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task_lite_clean_cn/289/data/abe56cdbcab9c628_问题产品跟踪_.xlsx

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task_lite_clean_cn/289/data/e00a71d77d8180dd_问题产品跟踪.xlsx

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+oid sha256:e00a71d77d8180dd711b88b636aec9664d50f1643a4d56d2cf7b106e0f610f5b
+size 10165

task_lite_clean_cn/289/data/e515e8e7583e24ad_TOP10 宝贝情况表.xlsx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e515e8e7583e24adbef992a67312dc81f13ccf33b8955a52a64a656975a6e133
+size 9118

task_lite_clean_cn/289/metadata.json

@@ -1,70 +1,69 @@
 {
   "absolute_id": 289,
-  "persona": "Product Manager",
-  "task": "请从店铺热销宝贝数据文件中提取 TOP10 商品的标题、成交金额、转化率信息，整理输出为 热销商品核心数据清单.txt。",
-  "task_diff": "简单（步骤不超过5步且包含协同类型1）",
+  "persona": "Operations Manager",
+  "task": "基于服装电商热销商品运营数据、产品品控问题跟踪数据和商品拍摄规范标准，生成一份完整的《2015 年 Q1 服装电商运营全景分析报告.md》。报告应包含商品表现分析、质量风险管控方案和商品视觉标准三个核心模块，最终输出为 Markdown 格式并保存到 / 电商运营 / 分析报告目录下。",
+  "task_diff": "困难（步骤超过10步且包含协同类型3）",
   "output_files": [
-    "热销商品核心数据清单.txt"
+    "2015 年 Q1 服装电商运营全景分析报告.md"
   ],
   "rubrics": [
-    "输出文件 热销商品核心数据清单.txt 是否成功生成？",
-    "输出文件中是否明确说明源文件 TOP10 宝贝情况表_.xlsx 无法访问，返回 403 Forbidden 错误？",
-    "源文件读取时是否确实返回 403 Forbidden HTTP 错误状态码？",
-    "输出文件中是否包含文字 \"403 Forbidden\" 说明无法读取数据？",
-    "输出文件是否为纯文本格式，可直接读取查看？",
-    "是否从 ./data 目录读取输入文件，未读取 ./output 目录中的文件？",
-    "输出文件是否保存到 ./output_cc 目录中，文件名与 metadata 一致？",
-    "TOP10 商品数据提取任务是否正确处理了输入文件不可用的异常情况？",
-    "metadata.json 中是否补充了 rubric_importance 数组，为每条 rubric 提供了 0-10 的重要性评分？",
-    "metadata.json 中 rubrics、rubric_diffs、rubric_types、rubric_importance 四个数组长度是否一致？",
-    "metadata.json 是否保留了原始任务语义，未修改其他无关字段？",
-    "输出文件是否仅包含 TOP10 商品相关信息，未包含其他无关文件数据？",
-    "输出文件是否清晰可读，格式为纯文本清单格式？",
-    "是否正确识别出输入文件为 HTML 格式而非 Excel 格式？",
-    "是否在输出文件中正确指出了错误类型是文件访问被拒绝而非文件不存在？"
+    "是否在 / 电商运营 / 分析报告目录生成 2015 年 Q1 服装电商运营全景分析报告.md？",
+    "是否完整读取三份源 Excel 文件：TOP10 宝贝情况表、问题产品跟踪、服装产品拍摄表？",
+    "商品表现模块是否包含 TOP10 商品表格，且包含 PV、UV、转化率、成交金额、客单价五列数据？",
+    "商品表现模块是否正确指出 leggings 转化率为 8.92%，是转化率最高的商品？",
+    "质量风险管控模块是否包含问题产品统计表，并正确指出线头问题占比为 42.86%？",
+    "质量风险管控模块是否包含源工作簿中的四项改进动作和四项风控建议？",
+    "质量风险管控模块是否包含单款商品月度投诉 >=3 起自动预警规则？",
+    "商品视觉标准模块是否正确指出连衣裙需要 5 张主图？",
+    "商品视觉标准模块是否正确指出主图为纯白背景、800 x 800 像素，详情页首屏为场景展示、第二屏为核心卖点？",
+    "全部统计数值、规则、规范是否均可溯源到三份 Excel 源文件，且没有计算失真或矛盾错误？",
+    "报告是否采用标准 Markdown 一级和二级标题层级？",
+    "报告结尾是否包含总结和可执行的运营优化建议？"
   ],
   "rubric_types": [
+    "基础评估",
     "基础评估",
     "结果评估",
-    "过程评估",
     "结果评估",
-    "基础评估",
-    "过程评估",
-    "基础评估",
-    "过程评估",
-    "基础评估",
-    "基础评估",
-    "基础评估",
     "结果评估",
-    "基础评估",
+    "结果评估",
+    "结果评估",
+    "结果评估",
+    "结果评估",
     "过程评估",
-    "结果评估"
+    "基础评估",
+    "过程评估"
   ],
   "file_dep_graph": [
     {
       "from": "TOP10 宝贝情况表_.xlsx",
-      "to": "服装产品拍摄表_.xlsx"
+      "to": "2015 年 Q1 服装电商运营全景分析报告.md"
     },
     {
-      "from": "TOP10 宝贝情况表_.xlsx",
-      "to": "问题产品跟踪_.xlsx"
+      "from": "问题产品跟踪_.xlsx",
+      "to": "2015 年 Q1 服装电商运营全景分析报告.md"
+    },
+    {
+      "from": "服装产品拍摄表_.xlsx",
+      "to": "2015 年 Q1 服装电商运营全景分析报告.md"
     }
   ],
   "data_manifest": [
     {
-      "filename": "TOP10 宝贝情况表_.xlsx",
-      "stored_relpath": "data/539346a46f15f64e_TOP10 宝贝情况表_.xlsx"
+      "filename": "TOP10 宝贝情况表.xlsx",
+      "stored_relpath": "data/e515e8e7583e24ad_TOP10 宝贝情况表.xlsx"
     },
     {
-      "filename": "服装产品拍摄表_.xlsx",
-      "stored_relpath": "data/a2d99e0ad53db64f_服装产��拍摄表_.xlsx"
+      "filename": "服装产品拍摄表.xlsx",
+      "stored_relpath": "data/80d7d58006691df5_服装产品拍摄表.xlsx"
     },
     {
-      "filename": "问题产品跟踪_.xlsx",
-      "stored_relpath": "data/abe56cdbcab9c628_问题产品跟踪_.xlsx"
+      "filename": "问题产品跟踪.xlsx",
+      "stored_relpath": "data/e00a71d77d8180dd_问题产品跟踪.xlsx"
     }
   ],
   "tested_capabilities": [
-    "Workspace Exploration"
+    "Workspace Exploration",
+    "Task-Providing File Utilization"
   ]
 }

task_lite_clean_cn/334/metadata.json

@@ -1,13 +1,13 @@
 {
   "absolute_id": 334,
   "persona": "Operations Manager",
-  "task": "为公司B股板块投资者运营内容，需汇总4家B股上市公司2021年度核心经营信息，形成一份对比分析简报，重点展示利润分配差异及核心经营提示，用于投资者触达和板块运营宣传，以表格的形式输出",
+  "task": "为公司B股板块投资者运营内容，需汇总4家B股上市公司2021年度核心经营信息，形成一份对比分析简报，重点展示利润分配差异及核心经营提示，用于投资者触达和板块运营宣传，以 Markdown 表格简报的形式输出。",
   "task_diff": "中等（步骤不超过10步且包含协同类型2）",
   "output_files": [
-    "B 股上市公司 2021 年度核心经营对比分析简报.csv"
+    "B 股上市公司 2021 年度核心经营对比分析简报.md"
   ],
   "rubrics": [
-    "输出文件标题是否为「2021年4家B股上市公司核心经营信息对比」",
+    "Markdown 一级标题是否为「2021年4家B股上市公司核心经营信息对比」？",
     "输出文件是否包含核心财务指标与利润分配对比表，表格包含股票代码、公司名称、2021年净利润等至少8列信息",
     "核心对比表格中是否同时包含汇丽B(900939)、伊泰B股(900948)、凯马B(900953)、凌云B股(900957)这4家公司的数据行",
     "对比表格中是否专门列出「利润分配方案」一列，清晰展示每家公司是否进行分红",

task_lite_clean_cn/95/metadata.json

@@ -69,10 +69,6 @@
     }
   ],
   "data_manifest": [
-    {
-      "filename": "18fec6689633b536_说明_9.txt",
-      "stored_relpath": "data/18fec6689633b536_18fec6689633b536_说明_9.txt"
-    },
     {
       "filename": "说明_9.txt",
       "stored_relpath": "data/18fec6689633b536_说明_9.txt"
@@ -85,10 +81,6 @@
       "filename": "数据恢复.txt",
       "stored_relpath": "data/3028c9d6281d532c_数据恢复.txt"
     },
-    {
-      "filename": "35ccb5991494324f_说明_12.txt",
-      "stored_relpath": "data/35ccb5991494324f_35ccb5991494324f_说明_12.txt"
-    },
     {
       "filename": "说明_12.txt",
       "stored_relpath": "data/35ccb5991494324f_说明_12.txt"
@@ -105,18 +97,10 @@
       "filename": "采购管理.txt",
       "stored_relpath": "data/a84707ac06a817c8_采购管理.txt"
     },
-    {
-      "filename": "b4418640fb00a12f_说明_15.txt",
-      "stored_relpath": "data/b4418640fb00a12f_b4418640fb00a12f_说明_15.txt"
-    },
     {
       "filename": "说明_15.txt",
       "stored_relpath": "data/b4418640fb00a12f_说明_15.txt"
     },
-    {
-      "filename": "bec9bfa3d581a4ed_说明_22.txt",
-      "stored_relpath": "data/bec9bfa3d581a4ed_bec9bfa3d581a4ed_说明_22.txt"
-    },
     {
       "filename": "说明_22.txt",
       "stored_relpath": "data/bec9bfa3d581a4ed_说明_22.txt"

task_lite_clean_en/107/metadata.json

@@ -145,39 +145,39 @@
   "data_manifest": [
     {
       "filename": "product_info.csv",
-      "stored_relpath": "data/product_info.csv"
+      "stored_relpath": "data/a508c5c50582a72e_product_info.csv"
     },
     {
       "filename": "segment_performance.csv",
-      "stored_relpath": "data/segment_performance.csv"
+      "stored_relpath": "data/f20fce60c51dc2bd_segment_performance.csv"
     },
     {
       "filename": "Africa_orders.csv",
-      "stored_relpath": "data/Africa_orders.csv"
+      "stored_relpath": "data/7c0b74268c52b75a_Africa_orders.csv"
     },
     {
       "filename": "Asia_Pacific_orders.csv",
-      "stored_relpath": "data/Asia_Pacific_orders.csv"
+      "stored_relpath": "data/8c9aaeae2e3f3402_Asia_Pacific_orders.csv"
     },
     {
       "filename": "Europe_orders.csv",
-      "stored_relpath": "data/Europe_orders.csv"
+      "stored_relpath": "data/b132f6dc46fe5894_Europe_orders.csv"
     },
     {
       "filename": "LATAM_orders.csv",
-      "stored_relpath": "data/LATAM_orders.csv"
+      "stored_relpath": "data/546ca18eff919035_LATAM_orders.csv"
     },
     {
       "filename": "USCA_orders.csv",
-      "stored_relpath": "data/a0931573a257d766_usca_orders.csv"
+      "stored_relpath": "data/a0931573a257d766_USCA_orders.csv"
     },
     {
       "filename": "shipping_by_mode.csv",
-      "stored_relpath": "data/shipping_by_mode.csv"
+      "stored_relpath": "data/1922a7d1f651bf42_shipping_by_mode.csv"
     },
     {
       "filename": "priority_codebook.txt",
-      "stored_relpath": "data/priority_codebook.txt"
+      "stored_relpath": "data/5033d8d25338cd67_priority_codebook.txt"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/108/metadata.json

@@ -10,17 +10,17 @@
     "Is the report file Regional_Sales_Analysis_Report.md successfully generated and fully covering the task requirements: two-dimensional cross-summarization, profit margin extreme analysis, high discount order loss analysis?",
     "Does the Category×Region cross summary table contain 12 cross-groupings (3 Category × 4 Regions) and include three columns of data: sales, profit, and number of orders?",
     "In the Category×Region summary, is the total sales of Furniture in Central approximately equal to 163797, and is the total profit approximately equal to -2871.05?",
-    "In the Category×Region summary, is the total number of orders for Technology in West approximately equal to 599, and is the total sales approximately equal to 251992?",
+    "In the Category×Region summary, is the unique order count for Technology in West (counted by distinct Order ID) approximately equal to 490, and is the total sales approximately equal to 251992?",
     "Does the Category × Segment cross summary table contain 9 cross groups (3 Category × 3 Segment), and contains three columns of data: sales, profit, and number of orders?",
-    "In the Category×Segment summary, is the total profit of Technology in Consumer approximately equal to 70797.8, and is the number of orders approximately equal to 951?",
+    "In the Category×Segment summary, is the total profit of Technology in Consumer approximately equal to 70797.8, and is the unique order count (counted by distinct Order ID) approximately equal to 809?",
     "Does the category summary table include a calculated column for profit margin (Profit/Sales)?",
     "Did the report correctly state that the category with the highest profit margin is Technology, with a profit margin of approximately 17.4%?",
     "Is the report correct that the category with the lowest margins is Furniture, which has a margin of about 2.5%?",
     "Are the margins for the Office Supplies category shown in the report to be approximately 17.0%?",
-    "Does the report analyze orders with a discount of ≥50% and clearly indicate that the total number of orders is 922?",
-    "Did the report correctly calculate that the number of losing orders was 922, and the loss accounted for 100%?",
+    "Does the report analyze orders with a discount of ≥50% and clearly indicate that the unique order count (counted by distinct Order ID) is 729?",
+    "Did the report correctly calculate that the number of losing orders with a discount of ≥50% (counted by distinct Order ID) is 729, and that the loss rate is 100%?",
     "Does the report clearly conclude that orders with a discount of ≥50% are making a loss as a whole?",
-    "Does the report list the total order analysis number as 9,994, including three product categories (Furniture, Office Supplies, Technology)?",
+    "Does the report list the total number of analyzed unique orders as 5,009 (counted by distinct Order ID), including three product categories (Furniture, Office Supplies, Technology)?",
     "Does the report list three customer segments (Consumer, Corporate, Home Office) and four regions?",
     "Does the report contain cross-summary tables for both Category×Region and Category×Segment dimensions?",
     "Are the calculations of sales, profits, and order numbers in all cross-summary tables accurate? Are the Markdown table formats clear and complete in dimension?",
@@ -105,31 +105,31 @@
   "data_manifest": [
     {
       "filename": "product_catalog.json",
-      "stored_relpath": "data/product_catalog.json"
+      "stored_relpath": "data/d0b178261dad8332_product_catalog.json"
     },
     {
       "filename": "customer_list.csv",
-      "stored_relpath": "data/customer_list.csv"
+      "stored_relpath": "data/beee38d5e0c9355a_customer_list.csv"
     },
     {
       "filename": "Central_sales_2017.csv",
-      "stored_relpath": "data/Central_sales_2017.csv"
+      "stored_relpath": "data/d0d2b76a2f69c499_Central_sales_2017.csv"
     },
     {
       "filename": "East_sales_2017.csv",
-      "stored_relpath": "data/East_sales_2017.csv"
+      "stored_relpath": "data/c2d3dffbb75da109_East_sales_2017.csv"
     },
     {
       "filename": "high_discount_orders.csv",
-      "stored_relpath": "data/high_discount_orders.csv"
+      "stored_relpath": "data/c363c758979eeb8f_high_discount_orders.csv"
     },
     {
       "filename": "South_sales_2017.csv",
-      "stored_relpath": "data/South_sales_2017.csv"
+      "stored_relpath": "data/17ee05bd48ae132d_South_sales_2017.csv"
     },
     {
       "filename": "West_sales_2017.csv",
-      "stored_relpath": "data/West_sales_2017.csv"
+      "stored_relpath": "data/fc3ae30b1a23ad2c_West_sales_2017.csv"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/115/metadata.json

@@ -63,71 +63,71 @@
   "data_manifest": [
     {
       "filename": "2512.21898v2.pdf",
-      "stored_relpath": "data/2512.21898v2.pdf"
+      "stored_relpath": "data/4d55a9a5ad5d429b_2512.21898v2.pdf"
     },
     {
       "filename": "2601.09974v1 (1).pdf",
-      "stored_relpath": "data/2601.09974v1 (1).pdf"
+      "stored_relpath": "data/2fb4e69405425c6c_2601.09974v1 (1).pdf"
     },
     {
       "filename": "2601.09974v1 (2).pdf",
-      "stored_relpath": "data/2601.09974v1 (2).pdf"
+      "stored_relpath": "data/2fb4e69405425c6c_2601.09974v1 (2).pdf"
     },
     {
       "filename": "2601.09974v1.pdf",
-      "stored_relpath": "data/2601.09974v1.pdf"
+      "stored_relpath": "data/2fb4e69405425c6c_2601.09974v1.pdf"
     },
     {
       "filename": "2601.10349v1.pdf",
-      "stored_relpath": "data/2601.10349v1.pdf"
+      "stored_relpath": "data/a58ccd58d76c162d_2601.10349v1.pdf"
     },
     {
       "filename": "2601.10651v1.pdf",
-      "stored_relpath": "data/2601.10651v1.pdf"
+      "stored_relpath": "data/61494f62324fdec4_2601.10651v1.pdf"
     },
     {
       "filename": "2601.11147v1.pdf",
-      "stored_relpath": "data/2601.11147v1.pdf"
+      "stored_relpath": "data/4394aba76aa12493_2601.11147v1.pdf"
     },
     {
       "filename": "2601.11421v1.pdf",
-      "stored_relpath": "data/2601.11421v1.pdf"
+      "stored_relpath": "data/cf489e92b48d567d_2601.11421v1.pdf"
     },
     {
       "filename": "2601.11969v2.pdf",
-      "stored_relpath": "data/2601.11969v2.pdf"
+      "stored_relpath": "data/dcad73f1f174b991_2601.11969v2.pdf"
     },
     {
       "filename": "2601.12049v1.pdf",
-      "stored_relpath": "data/2601.12049v1.pdf"
+      "stored_relpath": "data/fd9376ab1e995350_2601.12049v1.pdf"
     },
     {
       "filename": "2601.12099v1.pdf",
-      "stored_relpath": "data/2601.12099v1.pdf"
+      "stored_relpath": "data/55a7cff1c9538fe8_2601.12099v1.pdf"
     },
     {
       "filename": "2601.12141v1.pdf",
-      "stored_relpath": "data/2601.12141v1.pdf"
+      "stored_relpath": "data/4ac847aca5fb961f_2601.12141v1.pdf"
     },
     {
       "filename": "2601.12234v1 (1).pdf",
-      "stored_relpath": "data/2601.12234v1 (1).pdf"
+      "stored_relpath": "data/c756075753d2d8e5_2601.12234v1 (1).pdf"
     },
     {
       "filename": "2601.12234v1.pdf",
-      "stored_relpath": "data/2601.12234v1.pdf"
+      "stored_relpath": "data/c756075753d2d8e5_2601.12234v1.pdf"
     },
     {
       "filename": "2601.12667v1.pdf",
-      "stored_relpath": "data/2601.12667v1.pdf"
+      "stored_relpath": "data/05e6b235bf86f078_2601.12667v1.pdf"
     },
     {
       "filename": "2601.12904v1.pdf",
-      "stored_relpath": "data/2601.12904v1.pdf"
+      "stored_relpath": "data/2384b05a2bdfe9e3_2601.12904v1.pdf"
     },
     {
       "filename": "2601.12951v1.pdf",
-      "stored_relpath": "data/2601.12951v1.pdf"
+      "stored_relpath": "data/668925b8fcc8a479_2601.12951v1.pdf"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/258/data/3180b69c41a23331_2021_yearemployee_production_and_income_expenditure_master_sheet.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2903df045336dda61d0e58ffda45ebcf1a0d0a98fbdfb19e92bd95310ca2f9e
-size 147881
+oid sha256:dae21f62e34d94cb09711555a63825e77f55de512292bec7648fbe11540167ca
+size 7450

task_lite_clean_en/258/metadata.json

@@ -1,28 +1,28 @@
 {
   "absolute_id": 258,
   "persona": "Logistics Manager",
-  "task": "Based on the multi-worksheet data related to the production and income and expenditure of the employees of the enterprise, the basic information of the employees, the monthly attendance records, and the borrowing and disbursement flow are integrated,→ and a complete 2021_year_1_2_monthemployee_income_expenditure_settlement_summary_report.xls is generated according to the logic of \"Summary of Attendance Statistics→ Salary Calculation Debit Deduction→ Results\". The report shall include the attendance details, salary composition, debit deduction, and actual paid work of each employee.",
+  "task": "Based on the multi-worksheet employee production and income/expenditure data, integrate employee basic information, monthly attendance records, advance payment records, and salary calculation standards. Generate a complete 2021_year_1_2_monthemployee_income_expenditure_settlement_summary_report.xlsx following the logic of Attendance Statistics -> Salary Calculation -> Advance Deduction -> Result Summary. The report should include each employee's attendance details, salary composition, advance deductions, and actual salary paid.",
   "task_diff": "medium",
   "output_files": [
     "2021_year_1_2_monthemployee_income_expenditure_settlement_summary_report.xlsx"
   ],
   "rubrics": [
-    "2021_year_1_2_monthemployee_income_expenditure_settlement_summary_report.xls Is the file present and readable?",
-    "Does the report file contain exactly 3 worksheets named \"Employee Settlement Details\" \"Job Summary Statistics\" \"Exception Data Description\"?",
-    "Does the \"Employee Settlement Details\" worksheet contain 8 listing headers: Employee Name, Type of Work, January Attendance, February Attendance, Salary Due, Total Debit, Actual Salary, Bank Card Number?",
-    "Does the \"Job Summary Statistics\" worksheet contain 7 listing headers: job type, number of employees, average number of days of attendance (January), average number of days of attendance (February), average payable, total debit amount, average actual pay?",
-    "Does the Exception Data Description worksheet contain 4 list headers: Exception Type, Employee Name, Exception Details, Suggestions for Handling?",
-    "The source file is actually accounts receivable data, is the data source exception description recorded in the \"Exception Data Description\" worksheet?",
-    "Are all worksheet headers bolded to differentiate data areas?",
-    "Is the output file format XLSX rather than DOCX?",
-    "If employee data is available, does the Job Summary Statistics correctly count the number of employees grouped by job type?",
-    "If employee data is available, is the calculation of the average number of days of attendance in the \"Job Type Summary Statistics\" calculated as the sum of the number of days of attendance for all employees in the job type divided by the number of employees?",
-    "If there is employee data, does the total debit amount in the \"Job Type Summary Statistics\" add up to the total debit amount of all employees of the job type, and there is no arithmetic error in the calculation?",
-    "If employee data is available, is the aggregate sum of all debit records for the two months from January to February correctly aggregated?",
-    "Has the column width of all worksheets in the output file been adjusted appropriately to ensure that the header text is displayed in its entirety?",
-    "Did you follow the processing order of \"Attendance Statistics→ Salary Calculation→ Debit Deduction→ Result Summary\" according to the task logic?",
-    "Whether the output file contains all the specified core fields without missing them.",
-    "The chart shows whether the data is consistent with the original calculation results without distortion."
+    "Is the output file 2021_year_1_2_monthemployee_income_expenditure_settlement_summary_report.xlsx present and readable?",
+    "Does the report file contain exactly 3 worksheets named Employee Settlement Details, Job Summary Statistics, and Exception Data Description?",
+    "Does the Employee Settlement Details worksheet contain 8 headers: Employee Name, Job Type, January Attendance, February Attendance, Salary Due, Total Advance, Actual Salary, and Bank Card Number?",
+    "Does the Job Summary Statistics worksheet contain 7 headers: Job Type, Number of Employees, Average Attendance Days (January), Average Attendance Days (February), Average Salary Due, Total Advance Amount, and Average Actual Salary?",
+    "Does the Exception Data Description worksheet contain 4 headers: Exception Type, Employee Name, Exception Details, and Handling Suggestions?",
+    "Does the report correctly use the employee basic information, monthly attendance records, advance payment records, and salary calculation baseline from the source workbook?",
+    "Are all worksheet headers bolded to distinguish the data areas?",
+    "Is the output file in XLSX format rather than DOCX format?",
+    "Does the Job Summary Statistics worksheet correctly count employees grouped by job type?",
+    "Does the average attendance calculation equal the total attendance days of all employees in the job type divided by the number of employees?",
+    "Does the total advance amount equal the sum of all advance records for employees in each job type without arithmetic errors?",
+    "Is the January-February advance total correctly aggregated from all advance payment records in the two months?",
+    "Are worksheet column widths adjusted so header text is fully visible?",
+    "Does the processing follow the required order: Attendance Statistics -> Salary Calculation -> Advance Deduction -> Result Summary?",
+    "Does the output file include all specified core fields without omissions?",
+    "If charts are included, are the displayed values consistent with the calculated source data?"
   ],
   "rubric_types": [
     "Basic Evaluation",
@@ -45,7 +45,7 @@
   "file_dep_graph": [
     {
       "from": "2021_yearemployee_production_and_income_expenditure_master_sheet.xlsx",
-      "to": "2021_year_1_2_monthemployee_income_expenditure_settlement_summary_report.docx"
+      "to": "2021_year_1_2_monthemployee_income_expenditure_settlement_summary_report.xlsx"
     }
   ],
   "data_manifest": [

task_lite_clean_en/274/metadata.json

@@ -1,32 +1,32 @@
 {
   "absolute_id": 274,
   "persona": "Logistics Manager",
-  "task": "Generate a monthly employee salary accounting and production quality analysis report based on the basic employee information, process records, and nonconforming product data in the production enterprise piecework wage management system. It is necessary to link multi-dimensional data such as employee personal information, process details, and nonconforming records, calculate the actual salary payable for each employee (after deducting the impact of nonconforming products), analyze the production efficiency and quality level of each department, and generate a Markdown report containing data tables and statistical conclusions, and save it to the/production_management/payroll/directory.",
+  "task": "Generate a monthly employee salary accounting and production quality analysis report based on the basic employee information, process records, and nonconforming product data in the manufacturing enterprise piece-rate wage management system. Link multi-dimensional data such as employee personal information, process details, and nonconforming records; calculate the actual salary payable for each employee after deducting the impact of nonconforming products; analyze the production efficiency and quality level of each department; and generate a Word (.docx) report containing data tables and statistical conclusions, saved to the /production_management/payroll/ directory.",
   "task_diff": "medium",
   "output_files": [
     "monthly_employee_salary_and_production_quality_analysis_report.docx"
   ],
   "rubrics": [
-    "was the report file monthly_employee_salary_and_production_quality_analysis_report.doc generated successfully and opened normally?",
-    "Does the report include personal payroll results for all 8 employees in its entirety?",
-    "Does the employee salary calculation form contain a total of 12 columns of data on employee number, employee name, department, position, total completed amount, total completed amount, total unqualified amount, rejection rate, actual amount (yuan), royalty rate, actual royalty (yuan), and actual payable (yuan)?",
-    "Is the disqualification rate of Zhang San (employee number 1) calculated as 1.61%, and should it actually be issued as 4352.95 yuan?",
-    "Is the disqualification rate of Li Si (employee number 2) calculated as 2.94%, and should it actually be issued as 9321.84 yuan?",
-    "Is the total unqualified quantity of Qianqi (employee number 5) 2, is the unqualified rate 0.33%, and should the actual amount be 10467.27 yuan?",
-    "Does the report contain summary statistics for 3 departments, namely Production 1, Production 2, and Production 3?",
-    "Is the total output of the second production department 1292 pieces, is the total output value 18278.1 yuan, is it the sector with the highest gross output value of the three departments?",
-    "Is the qualified rate of the production part 3 98.21%, and the highest is the production part 2?",
-    "Is the qualified rate of production one part 96.35%, and the minimum is production three parts?",
-    "Is the total number of nonconforming products across the company 63?",
-    "Is the average company-wide pass rate 97.51%?",
-    "Does the report include a statistical table of the distribution of nonconformity reasons, listing the number of nonconformities corresponding to each reason?",
-    "Is the main reason for nonconformity is poor size, and is the number of nonconformities 18 pieces, accounting for 28.6%?",
-    "Is the payroll calculation logic clearly stated in the report: actual amount = total completed amount × (1 - rejection rate/production_management/payroll/), actual royalty = actual amount × royalty rate (%)?",
-    "Has the employee information table, process record schedule, nonconformance schedule, and employee commission summary table been linked through the employee number in the report?",
-    "Is there a clear analysis conclusion in the report, consisting of two parts: a production efficiency analysis and a quality level analysis?",
-    "Are there recommendations in the report to strengthen quality control for departments with the lowest pass rates?",
-    "Are there process optimization and training recommendations for the top reasons for nonconformity in the report?",
-    "Is the total output of the department in the calculation results consistent with the data in the production statistical analysis table, with a total production of 905 pieces, 1292 pieces in the production of the second part, and 335 pieces in the production of the third part?"
+    "Was the report file monthly_employee_salary_and_production_quality_analysis_report.docx generated successfully and can it be opened normally?",
+    "Does the report include complete personal payroll calculation results for all 8 employees?",
+    "Does the employee salary calculation table contain these 12 columns: employee number, employee name, department, position, total completed quantity, total completed amount, total nonconforming quantity, nonconforming rate, actual amount (yuan), commission rate, actual commission (yuan), and actual payable (yuan)?",
+    "Is Zhang San (employee number 1) calculated with a nonconforming rate of 1.61% and an actual payable amount of 4352.95 yuan?",
+    "Is Li Si (employee number 2) calculated with a nonconforming rate of 2.94% and an actual payable amount of 9321.84 yuan?",
+    "Is Qian Qi (employee number 5) calculated with a total nonconforming quantity of 2, a nonconforming rate of 0.33%, and an actual payable amount of 10467.27 yuan?",
+    "Does the report contain summary statistics for 3 departments: Production Department 1, Production Department 2, and Production Department 3?",
+    "Is Production Department 2 total output 1292 pieces, total output value 18278.1 yuan, and is it the department with the highest total output value among the three departments?",
+    "Is Production Department 2 pass rate 98.30%, and is it the department with the highest pass rate among the three departments?",
+    "Is Production Department 1 pass rate 96.91%, is Production Department 3 pass rate 96.12%, and is Production Department 3 the department with the lowest pass rate among the three departments?",
+    "Is the company-wide total number of nonconforming products 63?",
+    "Is the company-wide average pass rate 97.51%?",
+    "Does the report include a statistical table for the distribution of nonconformity reasons, listing the nonconforming quantity for each reason?",
+    "Is the main nonconformity reason missing parts, with 21 nonconforming pieces and a share of 33.3%?",
+    "Does the report clearly state the salary calculation logic: actual amount = total completed amount × (1 - nonconforming rate/100), and actual commission = actual amount × commission rate (%)?",
+    "Does the report link the employee information table, process record detail table, nonconformity detail table, and employee commission summary table through employee numbers?",
+    "Does the report provide clear analytical conclusions, including both production efficiency analysis and quality level analysis?",
+    "Does the report provide recommendations to strengthen quality control for the department with the lowest pass rate?",
+    "Does the report provide process optimization and training recommendations for the main nonconformity reason?",
+    "Is the department total output in the calculation results consistent with the production statistics analysis table: Production Department 1 has 905 pieces, Production Department 2 has 1292 pieces, and Production Department 3 has 335 pieces?"
   ],
   "rubric_types": [
     "Basic Evaluation",

task_lite_clean_en/288/data/539346a46f15f64e_top10_product_status_table.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:539346a46f15f64e4f545ae65e073488ed7ccadde9ec5f4c2d00d20b139c0666
-size 321
+oid sha256:3e1516c42d90f837e2c46465a6b34847d9ded43daf6d3180c8042fbf98b15077
+size 5710

task_lite_clean_en/288/data/a2d99e0ad53db64f_apparel_product_shooting_sheet.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2d99e0ad53db64fb52e0da54b24e298e7756b21ca749fc031b260e20edf9a6a
-size 321
+oid sha256:b8053250f4673e053c03a4acc6f08f161abeca8ee89a11cd449817acd7e0562c
+size 5563

task_lite_clean_en/288/data/abe56cdbcab9c628_problem_product_tracking.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:abe56cdbcab9c6287e8921b245398346d7a462b37b7af7929dfbbb6b855490e7
-size 321
+oid sha256:3091a6f779851053d90860ea8649bea43f8ad9a31f953dc269afdf5dbef301e9
+size 6634

task_lite_clean_en/288/metadata.json

@@ -1,49 +1,43 @@
 {
   "absolute_id": 288,
   "persona": "Operations Manager",
-  "task": "Integrate and generate a 2015_q1_apparel_ecommerce_operations_overview_analysis_report.md based on product-related documents, including the five modules of product performance, competitive product comparison, risk control, activity planning, and visual standards, and save them to the/clothing e-commerce/operation analysis directory.",
+  "task": "Based on the three apparel ecommerce source workbooks, integrate and generate a 2015_q1_apparel_ecommerce_operations_overview_analysis_report.md report. The report must include product performance, competitive comparison, risk management and control, event planning, and visual standards. Save it to the /fashion_ecommerce/operation_analysis directory. Any competitive comparison or event-planning assumptions that are not directly present in the source workbooks should be clearly labeled as assumptions or recommendations.",
   "task_diff": "medium",
   "output_files": [
     "2015_q1_apparel_ecommerce_operations_overview_analysis_report.md"
   ],
   "rubrics": [
-    "the report file is named_2015_year_q1_apparel_ecommerce Operations Panorama competitor_product_analysis_report.md and is written in Markdown format?",
-    "Does the report include all five modules: Product Performance, Competitive Comparison, Risk Management and Control, Event Planning, and Visual Standards?",
-    "Does the Product Performance module include a TOP10 Top Sellers table with five columns of data for PV, UV, Conversion Rate, Transaction Amount, and Customer Unit Price?",
-    "Does the product performance analysis indicate that the conversion rate of leggings is 8.92%, which is the highest among the top 10 products?",
-    "Does the product performance conclusion indicate that the top 10 products account for 42% of the total store traffic?",
-    "Does the Competitive Comparison Module include a Core Competitive Price Comparison Table that lists the differences between our pricing and that of our competitors?",
-    "Does the competitive product comparison analysis mention that the proportion of competitive taoker commissions is 15-20%, higher than our 10-12%?",
-    "Competitive Comparison Conclusions Do you recommend raising the Taoker commission to 15% in Q2 and increasing the through train budget by 20%?",
-    "Does the risk management and control module include a statistical table of problem product types, listing line header problems accounting for 42.86%?",
-    "Does the risk control module contain four improvement actions and four risk control recommendations?",
-    "Does the risk management recommendation require more than 3 automatic alerts to be triggered per product per month?",
-    "Does the event planning module contain a review form of two cost-effective events in Q1, with a profit of 28,000 yuan in January?",
-    "Does the activity planning module include a Q2 three-month activity planning suggestion sheet?",
-    "Is it proposed in the event planning to reserve 20% of the safety inventory for the estimated sales volume multiplied by 1.2?",
-    "Does the visual standard module contain a specification table for different categories of shooting, listing dresses requires 5 main drawings?",
-    "Does the visual standard require a pure white background with a main image size of 800 x 800 pixels?",
-    "Does the visual standard stipulate that the first screen of the detail page is the scene display, and the second screen is the core selling point?",
-    "Does the report end with a summary and five operational recommendations?",
-    "Does the report have a clear Markdown headline hierarchy (# primary headline, # # secondary headline)?"
+    "Is the report file named 2015_q1_apparel_ecommerce_operations_overview_analysis_report.md and written in Markdown format?",
+    "Does the report include the five requested modules: Product Performance, Competitive Comparison, Risk Management and Control, Event Planning, and Visual Standards?",
+    "Does the report clearly identify and use all three source workbooks: top10_product_status_table.xlsx, problem_product_tracking.xlsx, and apparel_product_shooting_sheet.xlsx?",
+    "Does the Product Performance module include a TOP10 best-selling products table with PV, UV, Conversion Rate, Transaction Amount, and Average Order Value?",
+    "Does the Product Performance module correctly state that leggings has the highest conversion rate among the TOP10 products at 8.92%?",
+    "Does the Product Performance module avoid inventing unsupported total-store traffic percentages unless they are explicitly labeled as assumptions?",
+    "Does the Risk Management and Control module include a problem product type statistics table and correctly state that loose-thread issues account for 42.86%?",
+    "Does the Risk Management and Control module include the four improvement actions from the source workbook?",
+    "Does the Risk Management and Control module include the four risk-control recommendations from the source workbook, including the automatic alert rule for >=3 monthly complaints on a single product?",
+    "Does the Visual Standards module include a photography specification table for product categories?",
+    "Does the Visual Standards module correctly state that dresses require 5 main images?",
+    "Does the Visual Standards module correctly state that main images use a pure white background and 800 x 800 pixel size?",
+    "Does the Visual Standards module correctly state that the first screen of the detail page is Scene Display and the second screen is Core Selling Point?",
+    "Do the Competitive Comparison and Event Planning modules clearly separate source-derived facts from assumptions or recommendations?",
+    "Does the report end with a concise summary and actionable operations recommendations?",
+    "Does the report use a clear Markdown heading hierarchy with # primary headings and ## secondary headings?"
   ],
   "rubric_types": [
     "Basic Evaluation",
     "Outcome Evaluation",
+    "Process Evaluation",
     "Outcome Evaluation",
     "Outcome Evaluation",
+    "Process Evaluation",
     "Outcome Evaluation",
     "Outcome Evaluation",
     "Outcome Evaluation",
-    "Process Evaluation",
     "Outcome Evaluation",
-    "Process Evaluation",
-    "Process Evaluation",
     "Outcome Evaluation",
     "Outcome Evaluation",
-    "Process Evaluation",
     "Outcome Evaluation",
-    "Basic Evaluation",
     "Process Evaluation",
     "Outcome Evaluation",
     "Basic Evaluation"

task_lite_clean_en/289/data/539346a46f15f64e_top10_product_status_table.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:539346a46f15f64e4f545ae65e073488ed7ccadde9ec5f4c2d00d20b139c0666
-size 321
+oid sha256:3e1516c42d90f837e2c46465a6b34847d9ded43daf6d3180c8042fbf98b15077
+size 5710

task_lite_clean_en/289/data/a2d99e0ad53db64f_apparel_product_shooting_sheet.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2d99e0ad53db64fb52e0da54b24e298e7756b21ca749fc031b260e20edf9a6a
-size 321
+oid sha256:b8053250f4673e053c03a4acc6f08f161abeca8ee89a11cd449817acd7e0562c
+size 5563

task_lite_clean_en/289/data/abe56cdbcab9c628_problem_product_tracking.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:abe56cdbcab9c6287e8921b245398346d7a462b37b7af7929dfbbb6b855490e7
-size 321
+oid sha256:3091a6f779851053d90860ea8649bea43f8ad9a31f953dc269afdf5dbef301e9
+size 6634

task_lite_clean_en/289/metadata.json

@@ -1,53 +1,51 @@
 {
   "absolute_id": 289,
-  "persona": "Product Manager",
-  "task": "Please extract _top10_product title_transaction amount_conversion rate information from the store's best-selling product data file_organize and output it as best_selling_product_core_data_list.txt.",
-  "task_diff": "easy",
+  "persona": "Operations Manager",
+  "task": "Based on the three apparel ecommerce source workbooks, generate a complete 2015_q1_apparel_ecommerce_operations_overview_analysis_report.md in Markdown format and save it to the /ecommerce_operations/analysis_reports directory. The report should include three core modules: product performance analysis, quality risk management plan, and product visual standards.",
+  "task_diff": "hard",
   "output_files": [
-    "best_selling_product_core_data_list.txt"
+    "2015_q1_apparel_ecommerce_operations_overview_analysis_report.md"
   ],
   "rubrics": [
-    "Is the output file best_selling_product_core_data_list.txt generated successfully?",
-    "Is it clear in the output file that the notes source file top10_product_status_table.xls is inaccessible and returns a 403 Forbidden error?",
-    "Are you sure you want to return a 403 Forbidden HTTP error status code when reading the source file?",
-    "Does the output file contain the text \"403 Forbidden\" indicating that the data could not be read?",
-    "Is the output file in plain text format, which can be read and viewed directly?",
-    "Are the input files read from the ./data directory and the files in the ./output directory are not read?",
-    "Is the output file saved to the ./output_cc directory, with the file name consistent with metadata?",
-    "Did the Top10 product data extraction task correctly handle the exception that the input file was not available?",
-    "is the rubric_importance array supplemented in metadata.json, providing a 0-10 importance score for each rubric?",
-    "are the four array lengths of rubrics, rubric_diffs, rubric_types, and rubric_importance consistent in metadata.json?",
-    "does metadata.json retain the original task semantics without modifying other irrelevant fields?",
-    "Does the output file contain only Top10 product-related information and no other irrelevant file data?",
-    "Is the output file legible in plain text manifest format?",
-    "Is the input file correctly identified as being in HTML format rather than Excel format?",
-    "Is the error type correctly indicated in the output file that file access is denied and not that the file does not exist?"
+    "Is 2015_q1_apparel_ecommerce_operations_overview_analysis_report.md generated in the /ecommerce_operations/analysis_reports directory?",
+    "Are all three source Excel files read: top10_product_status_table.xlsx, problem_product_tracking.xlsx, and apparel_product_shooting_sheet.xlsx?",
+    "Does the Product Performance module include a TOP10 products table with PV, UV, Conversion Rate, Transaction Amount, and Average Order Value?",
+    "Does the Product Performance module correctly state that leggings has the highest conversion rate at 8.92%?",
+    "Does the Quality Risk Management module include a problem product statistics table and correctly state that loose-thread issues account for 42.86%?",
+    "Does the Quality Risk Management module include the four improvement actions and four risk-control recommendations from the source workbook?",
+    "Does the Quality Risk Management module include the automatic alert rule for >=3 monthly complaints on a single product?",
+    "Does the Product Visual Standards module correctly state that dresses require 5 main images?",
+    "Does the Product Visual Standards module correctly state that main images use a pure white background and 800 x 800 pixel size, with Scene Display on the first detail-page screen and Core Selling Point on the second screen?",
+    "Are all statistics, rules, and standards traceable to the three Excel source files without calculation distortion or contradictory errors?",
+    "Does the report use standard Markdown first-level and second-level headings?",
+    "Does the report end with a summary and actionable operations optimization recommendations?"
   ],
   "rubric_types": [
+    "Basic Evaluation",
     "Basic Evaluation",
     "Outcome Evaluation",
-    "Process Evaluation",
     "Outcome Evaluation",
-    "Basic Evaluation",
-    "Process Evaluation",
-    "Basic Evaluation",
-    "Process Evaluation",
-    "Basic Evaluation",
-    "Basic Evaluation",
-    "Basic Evaluation",
     "Outcome Evaluation",
-    "Basic Evaluation",
+    "Outcome Evaluation",
+    "Outcome Evaluation",
+    "Outcome Evaluation",
+    "Outcome Evaluation",
     "Process Evaluation",
-    "Outcome Evaluation"
+    "Basic Evaluation",
+    "Process Evaluation"
   ],
   "file_dep_graph": [
     {
       "from": "top10_product_status_table.xlsx",
-      "to": "apparel_product_shooting_sheet.xlsx"
+      "to": "2015_q1_apparel_ecommerce_operations_overview_analysis_report.md"
     },
     {
-      "from": "top10_product_status_table.xlsx",
-      "to": "problem_product_tracking.xlsx"
+      "from": "problem_product_tracking.xlsx",
+      "to": "2015_q1_apparel_ecommerce_operations_overview_analysis_report.md"
+    },
+    {
+      "from": "apparel_product_shooting_sheet.xlsx",
+      "to": "2015_q1_apparel_ecommerce_operations_overview_analysis_report.md"
     }
   ],
   "data_manifest": [
@@ -65,6 +63,7 @@
     }
   ],
   "tested_capabilities": [
-    "Workspace Exploration"
+    "Workspace Exploration",
+    "Task-Providing File Utilization"
   ]
 }

task_lite_clean_en/334/metadata.json

@@ -1,13 +1,13 @@
 {
   "absolute_id": 334,
   "persona": "Operations Manager",
-  "task": "For investor operations content related to the company's B-share sector, summarize the core 2021 operating information of four B-share listed companies into a comparative analysis briefing, highlighting differences in profit distribution and key operating takeaways for investor outreach and sector promotion. Output it in tabular form.",
+  "task": "For investor operations content related to the company's B-share sector, summarize the core 2021 operating information of four B-share listed companies into a comparative analysis briefing, highlighting differences in profit distribution and key operating takeaways for investor outreach and sector promotion. Output it as a Markdown briefing centered on tables.",
   "task_diff": "medium",
   "output_files": [
-    "B-company-2021-annual-comparisonanalysisbriefing.csv"
+    "B-company-2021-annual-comparisonanalysisbriefing.md"
   ],
   "rubrics": [
-    "Is the title of the output file `Comparison of Core Operating Information of Four B-share Listed Companies in 2021`?",
+    "Is the top-level Markdown heading `Comparison of Core Operating Information of Four B-share Listed Companies in 2021`?",
     "Does the output file contain a core financial indicators and profit distribution comparison table with at least 8 columns such as stock code, company name, and 2021 net profit?",
     "Does the core comparison table include data rows for the four companies Huili B (900939), Yitai B Share (900948), Kaima B (900953), and Lingyun B Share (900957)?",
     "Does the comparison table include a dedicated `Profit Distribution Plan` column clearly showing whether each company paid dividends?",

task_lite_clean_en/360/metadata.json

@@ -73,19 +73,19 @@
   "data_manifest": [
     {
       "filename": "10-7_top_10_malignant_tumor_mortality_rates_overall.xlsx",
-      "stored_relpath": "data/10-7_top_10_malignant_tumor_mortality_rates_overall.xlsx"
+      "stored_relpath": "data/b6ee0903c4596d10_10-7_top_10_malignant_tumor_mortality_rates_overall.xlsx"
     },
     {
       "filename": "10-9_top_10_malignant_tumor_mortality_rates_female.xlsx",
-      "stored_relpath": "data/10-9_top_10_malignant_tumor_mortality_rates_female.xlsx"
+      "stored_relpath": "data/cbf000b22dda1e26_10-9_top_10_malignant_tumor_mortality_rates_female.xlsx"
     },
     {
       "filename": "10-10_top_10_malignant_tumor_mortality_rates_urban.xlsx",
-      "stored_relpath": "data/10-10_top_10_malignant_tumor_mortality_rates_urban.xlsx"
+      "stored_relpath": "data/6eac3e1681193dd5_10-10_top_10_malignant_tumor_mortality_rates_urban.xlsx"
     },
     {
       "filename": "10-11_top_10_malignant_tumor_mortality_rates_rural.xlsx",
-      "stored_relpath": "data/10-11_top_10_malignant_tumor_mortality_rates_rural.xlsx"
+      "stored_relpath": "data/3344296391f4aee2_10-11_top_10_malignant_tumor_mortality_rates_rural.xlsx"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/363/metadata.json

@@ -75,19 +75,19 @@
   "data_manifest": [
     {
       "filename": "2601.09974v1.pdf",
-      "stored_relpath": "data/2601.09974v1.pdf"
+      "stored_relpath": "data/2fb4e69405425c6c_2601.09974v1.pdf"
     },
     {
       "filename": "2601.11969v2.pdf",
-      "stored_relpath": "data/2601.11969v2.pdf"
+      "stored_relpath": "data/dcad73f1f174b991_2601.11969v2.pdf"
     },
     {
       "filename": "2601.12099v1.pdf",
-      "stored_relpath": "data/2601.12099v1.pdf"
+      "stored_relpath": "data/55a7cff1c9538fe8_2601.12099v1.pdf"
     },
     {
       "filename": "2601.12951v1.pdf",
-      "stored_relpath": "data/2601.12951v1.pdf"
+      "stored_relpath": "data/668925b8fcc8a479_2601.12951v1.pdf"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/372/metadata.json

@@ -155,103 +155,103 @@
   "data_manifest": [
     {
       "filename": "temp_document_8.txt",
-      "stored_relpath": "data/temp_document_8.txt"
+      "stored_relpath": "data/80d00e7615e3b3c6_temp_document_8.txt"
     },
     {
       "filename": "temp_document_9.txt",
-      "stored_relpath": "data/temp_document_9.txt"
+      "stored_relpath": "data/d7069f2366156b5a_temp_document_9.txt"
     },
     {
       "filename": "temp_document_10.txt",
-      "stored_relpath": "data/temp_document_10.txt"
+      "stored_relpath": "data/9b8f13826e348526_temp_document_10.txt"
     },
     {
       "filename": "temp_document_11.txt",
-      "stored_relpath": "data/temp_document_11.txt"
+      "stored_relpath": "data/a06e83447442ed84_temp_document_11.txt"
     },
     {
       "filename": "temp_document_12.txt",
-      "stored_relpath": "data/temp_document_12.txt"
+      "stored_relpath": "data/2e3329cf7afb609d_temp_document_12.txt"
     },
     {
       "filename": "temp_document_13.txt",
-      "stored_relpath": "data/temp_document_13.txt"
+      "stored_relpath": "data/6fc149b7a8686c95_temp_document_13.txt"
     },
     {
       "filename": "temp_document_14.txt",
-      "stored_relpath": "data/temp_document_14.txt"
+      "stored_relpath": "data/0877dc48fed019fa_temp_document_14.txt"
     },
     {
       "filename": "temp_document_15.txt",
-      "stored_relpath": "data/temp_document_15.txt"
+      "stored_relpath": "data/494389c81795c1f4_temp_document_15.txt"
     },
     {
       "filename": "temp_document_16.txt",
-      "stored_relpath": "data/temp_document_16.txt"
+      "stored_relpath": "data/7fe2acee6124317c_temp_document_16.txt"
     },
     {
       "filename": "temp_document_17.txt",
-      "stored_relpath": "data/temp_document_17.txt"
+      "stored_relpath": "data/ffb497f020ca25b0_temp_document_17.txt"
     },
     {
       "filename": "temp_document_18.txt",
-      "stored_relpath": "data/temp_document_18.txt"
+      "stored_relpath": "data/202f195e34a59541_temp_document_18.txt"
     },
     {
       "filename": "temp_document_19.txt",
-      "stored_relpath": "data/temp_document_19.txt"
+      "stored_relpath": "data/33d731c26172cf31_temp_document_19.txt"
     },
     {
       "filename": "temp_document_20.txt",
-      "stored_relpath": "data/temp_document_20.txt"
+      "stored_relpath": "data/d7a011c1d053697e_temp_document_20.txt"
     },
     {
       "filename": "temp_document_21.txt",
-      "stored_relpath": "data/temp_document_21.txt"
+      "stored_relpath": "data/105a0c26f44d9e73_temp_document_21.txt"
     },
     {
       "filename": "temp_document_22.txt",
-      "stored_relpath": "data/temp_document_22.txt"
+      "stored_relpath": "data/a331b1351de884c1_temp_document_22.txt"
     },
     {
       "filename": "temp_document_23.txt",
-      "stored_relpath": "data/temp_document_23.txt"
+      "stored_relpath": "data/b410ab13af67f152_temp_document_23.txt"
     },
     {
       "filename": "temp_document_24.txt",
-      "stored_relpath": "data/temp_document_24.txt"
+      "stored_relpath": "data/6f67da6a9eb1b5fe_temp_document_24.txt"
     },
     {
       "filename": "temp_document_25.txt",
-      "stored_relpath": "data/temp_document_25.txt"
+      "stored_relpath": "data/308e7c549ee779bc_temp_document_25.txt"
     },
     {
       "filename": "temp_document_1.txt",
-      "stored_relpath": "data/temp_document_1.txt"
+      "stored_relpath": "data/82b065e0f556ea31_temp_document_1.txt"
     },
     {
       "filename": "temp_document_2.txt",
-      "stored_relpath": "data/temp_document_2.txt"
+      "stored_relpath": "data/313bd392f03c9516_temp_document_2.txt"
     },
     {
       "filename": "temp_document_3.txt",
-      "stored_relpath": "data/temp_document_3.txt"
+      "stored_relpath": "data/87d66cae5c91a061_temp_document_3.txt"
     },
     {
       "filename": "temp_document_4.txt",
-      "stored_relpath": "data/temp_document_4.txt"
+      "stored_relpath": "data/1139c73b3cbdbfde_temp_document_4.txt"
     },
     {
       "filename": "temp_document_5.txt",
-      "stored_relpath": "data/temp_document_5.txt"
+      "stored_relpath": "data/1a283e9ceae81408_temp_document_5.txt"
     },
     {
       "filename": "temp_document_6.txt",
-      "stored_relpath": "data/temp_document_6.txt"
+      "stored_relpath": "data/47229a3d8c55cd0b_temp_document_6.txt"
     },
     {
       "filename": "temp_document_7.txt",
-      "stored_relpath": "data/temp_document_7.txt"
+      "stored_relpath": "data/de08cc31f17c5beb_temp_document_7.txt"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/373/metadata.json

@@ -131,71 +131,71 @@
     },
     {
       "filename": "annual_report_6617.csv",
-      "stored_relpath": "data/annual_report_6617.csv"
+      "stored_relpath": "data/e0b5e61c3acaf47c_annual_report_6617.csv"
     },
     {
       "filename": "approval_slip_6511.csv",
-      "stored_relpath": "data/approval_slip_6511.csv"
+      "stored_relpath": "data/74c348dec936b898_approval_slip_6511.csv"
     },
     {
       "filename": "headcount_statistics_8521.csv",
-      "stored_relpath": "data/headcount_statistics_8521.csv"
+      "stored_relpath": "data/8ab7afd8cf7f3451_headcount_statistics_8521.csv"
     },
     {
       "filename": "approval_form_2637.csv",
-      "stored_relpath": "data/approval_form_2637.csv"
+      "stored_relpath": "data/0bf09f0933bc7598_approval_form_2637.csv"
     },
     {
       "filename": "data_statistics_1354.csv",
-      "stored_relpath": "data/data_statistics_1354.csv"
+      "stored_relpath": "data/841a11383e6541c2_data_statistics_1354.csv"
     },
     {
       "filename": "maintenance_plan_6358.csv",
-      "stored_relpath": "data/maintenance_plan_6358.csv"
+      "stored_relpath": "data/2b67e723707b02cb_maintenance_plan_6358.csv"
     },
     {
       "filename": "supplies_request_4437.csv",
-      "stored_relpath": "data/supplies_request_4437.csv"
+      "stored_relpath": "data/f297e17309674f58_supplies_request_4437.csv"
     },
     {
       "filename": "project_plan_1673.csv",
-      "stored_relpath": "data/project_plan_1673.csv"
+      "stored_relpath": "data/ac507b28f4ca30c1_project_plan_1673.csv"
     },
     {
       "filename": "monthly_report_5815 copy 2.csv",
-      "stored_relpath": "data/monthly_report_5815 copy 2.csv"
+      "stored_relpath": "data/5cfec2bbe97cf136_monthly_report_5815 copy 2.csv"
     },
     {
       "filename": "monthly_report_5815 copy.csv",
-      "stored_relpath": "data/monthly_report_5815 copy.csv"
+      "stored_relpath": "data/5cfec2bbe97cf136_monthly_report_5815 copy.csv"
     },
     {
       "filename": "monthly_report_5815.csv",
-      "stored_relpath": "data/monthly_report_5815.csv"
+      "stored_relpath": "data/5cfec2bbe97cf136_monthly_report_5815.csv"
     },
     {
       "filename": "asset_inventory_2315.csv",
-      "stored_relpath": "data/asset_inventory_2315.csv"
+      "stored_relpath": "data/739db0a9b2e5b25c_asset_inventory_2315.csv"
     },
     {
       "filename": "survey_form_5789.csv",
-      "stored_relpath": "data/survey_form_5789.csv"
+      "stored_relpath": "data/dcb370fd69ab41cd_survey_form_5789.csv"
     },
     {
       "filename": "expense_statistics_1425.csv",
-      "stored_relpath": "data/expense_statistics_1425.csv"
+      "stored_relpath": "data/c41cb183754f5b11_expense_statistics_1425.csv"
     },
     {
       "filename": "work_log_9340.csv",
-      "stored_relpath": "data/work_log_9340.csv"
+      "stored_relpath": "data/593b014c196ac4ac_work_log_9340.csv"
     },
     {
       "filename": "acquisition_request_2597.csv",
-      "stored_relpath": "data/acquisition_request_2597.csv"
+      "stored_relpath": "data/cab3312235f1f76e_acquisition_request_2597.csv"
     },
     {
       "filename": "acquisition_request_8054.csv",
-      "stored_relpath": "data/acquisition_request_8054.csv"
+      "stored_relpath": "data/0ac9554051616181_acquisition_request_8054.csv"
     },
     {
       "filename": "roster_1719.csv",

task_lite_clean_en/374/metadata.json

@@ -61,23 +61,23 @@
   "data_manifest": [
     {
       "filename": "leave_request_7893.md",
-      "stored_relpath": "data/leave_request_7893.md"
+      "stored_relpath": "data/71ce9ef6c2eb87b3_leave_request_7893.md"
     },
     {
       "filename": "reimbursement_request_2092.html",
-      "stored_relpath": "data/reimbursement_request_2092.html"
+      "stored_relpath": "data/14134ec459a436b2_reimbursement_request_2092.html"
     },
     {
       "filename": "acquisition_request_6203.txt",
-      "stored_relpath": "data/acquisition_request_6203.txt"
+      "stored_relpath": "data/4adc0cc6dbecae50_acquisition_request_6203.txt"
     },
     {
       "filename": "maintenance_plan_1299.json",
-      "stored_relpath": "data/maintenance_plan_1299.json"
+      "stored_relpath": "data/a961551cba2b0a2d_maintenance_plan_1299.json"
     },
     {
       "filename": "maintenance_plan_9326.json",
-      "stored_relpath": "data/maintenance_plan_9326.json"
+      "stored_relpath": "data/cf3b7b40cb7a531e_maintenance_plan_9326.json"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/380/metadata.json

@@ -89,19 +89,19 @@
     },
     {
       "filename": "strategic_plan_1.md",
-      "stored_relpath": "data/strategic_plan_1.md"
+      "stored_relpath": "data/00b4f7ef3a273082_strategic_plan_1.md"
     },
     {
       "filename": "market_analysis_1.json",
-      "stored_relpath": "data/market_analysis_1.json"
+      "stored_relpath": "data/cf30e910daa0e03b_market_analysis_1.json"
     },
     {
       "filename": "training_module_1.md",
-      "stored_relpath": "data/training_module_1.md"
+      "stored_relpath": "data/209560f4d4ea2256_training_module_1.md"
     },
     {
       "filename": "user_feedback_category_202601.md",
-      "stored_relpath": "data/user_feedback_category_202601.md"
+      "stored_relpath": "data/7184739240b75897_user_feedback_category_202601.md"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/381/metadata.json

@@ -87,23 +87,23 @@
   "data_manifest": [
     {
       "filename": "4-12_revenue_and_expenditure_of_tertiary_public_hospitals_2023.xlsx",
-      "stored_relpath": "data/4-12_revenue_and_expenditure_of_tertiary_public_hospitals_2023.xlsx"
+      "stored_relpath": "data/9a2f158e02882724_4-12_revenue_and_expenditure_of_tertiary_public_hospitals_2023.xlsx"
     },
     {
       "filename": "4-6_assets_and_liabilities_of_health_institutions_2023.xlsx",
-      "stored_relpath": "data/4-6_assets_and_liabilities_of_health_institutions_2023.xlsx"
+      "stored_relpath": "data/383c28351c5fad5d_4-6_assets_and_liabilities_of_health_institutions_2023.xlsx"
     },
     {
       "filename": "4-4-2_national_drug_production_and_distribution_2023.xlsx",
-      "stored_relpath": "data/4-4-2_national_drug_production_and_distribution_2023.xlsx"
+      "stored_relpath": "data/f58d8e9399dad526_4-4-2_national_drug_production_and_distribution_2023.xlsx"
     },
     {
       "filename": "4-20_avg_medical_expense_per_outpatient_inpatient_visit_public_hospitals_by_region_2023.xlsx",
-      "stored_relpath": "data/4-20_avg_medical_expense_per_outpatient_inpatient_visit_public_hospitals_by_region_2023.xlsx"
+      "stored_relpath": "data/0436bf5c189717d5_4-20_avg_medical_expense_per_outpatient_inpatient_visit_public_hospitals_by_region_2023.xlsx"
     },
     {
       "filename": "9-10_chronic_disease_prevalence_age_15_plus_surveyed_regions_2023.xlsx",
-      "stored_relpath": "data/9-10_chronic_disease_prevalence_age_15_plus_surveyed_regions_2023.xlsx"
+      "stored_relpath": "data/0880a3a32755017e_9-10_chronic_disease_prevalence_age_15_plus_surveyed_regions_2023.xlsx"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/386/metadata.json

@@ -171,31 +171,31 @@
   "data_manifest": [
     {
       "filename": "D1_morning_session_transcript.txt",
-      "stored_relpath": "data/D1_morning_session_transcript.txt"
+      "stored_relpath": "data/402e2ab79ae3cfc5_D1_morning_session_transcript.txt"
     },
     {
       "filename": "D2_afternoon_session_transcript.txt",
-      "stored_relpath": "data/D2_afternoon_session_transcript.txt"
+      "stored_relpath": "data/4d737be138c96a52_D2_afternoon_session_transcript.txt"
     },
     {
       "filename": "DAU_behavior_logs_2025Q4-2026Q1.xlsx",
-      "stored_relpath": "data/DAU_behavior_logs_2025Q4-2026Q1.xlsx"
+      "stored_relpath": "data/e17d19459053da21_DAU_behavior_logs_2025Q4-2026Q1.xlsx"
     },
     {
       "filename": "NPS_survey_data_2026-02.xlsx",
-      "stored_relpath": "data/NPS_survey_data_2026-02.xlsx"
+      "stored_relpath": "data/450e123dfc7c538d_NPS_survey_data_2026-02.xlsx"
     },
     {
       "filename": "meeting_recording_metadata.json",
-      "stored_relpath": "data/meeting_recording_metadata.json"
+      "stored_relpath": "data/041790098406a596_meeting_recording_metadata.json"
     },
     {
       "filename": "competitor_monitoring_weekly_report_W01-W12.xlsx",
-      "stored_relpath": "data/competitor_monitoring_weekly_report_W01-W12.xlsx"
+      "stored_relpath": "data/693c2f54cc60bdee_competitor_monitoring_weekly_report_W01-W12.xlsx"
     },
     {
       "filename": "enterprise_customer_CRM_2026Q1.xlsx",
-      "stored_relpath": "data/enterprise_customer_CRM_2026Q1.xlsx"
+      "stored_relpath": "data/add8ac072aeb1bdc_enterprise_customer_CRM_2026Q1.xlsx"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/388/metadata.json

@@ -71,15 +71,15 @@
   "data_manifest": [
     {
       "filename": "competitor_analysis.json",
-      "stored_relpath": "data/competitor_analysis.json"
+      "stored_relpath": "data/3ca1976219679ec3_competitor_analysis.json"
     },
     {
       "filename": "meeting_minutes_Q1_review.txt",
-      "stored_relpath": "data/meeting_minutes_Q1_review.txt"
+      "stored_relpath": "data/e44f4e39901a4232_meeting_minutes_Q1_review.txt"
     },
     {
       "filename": "team_performance_KPI.xlsx",
-      "stored_relpath": "data/team_performance_KPI.xlsx"
+      "stored_relpath": "data/f73004f5a1e4bdd5_team_performance_KPI.xlsx"
     }
   ],
   "tested_capabilities": [

task_lite_clean_en/95/metadata.json

@@ -36,53 +36,53 @@
   ],
   "file_dep_graph": [
     {
-      "from": "18fec6689633b536_description_9.txt",
-      "to": "b4418640fb00a12f_description_15.txt"
+      "from": "description_9.txt",
+      "to": "description_15.txt"
     },
     {
-      "from": "35ccb5991494324f_description_12.txt",
-      "to": "b4418640fb00a12f_description_15.txt"
+      "from": "description_12.txt",
+      "to": "description_15.txt"
     },
     {
-      "from": "18fec6689633b536_description_9.txt",
-      "to": "bec9bfa3d581a4ed_description_22.txt"
+      "from": "description_9.txt",
+      "to": "description_22.txt"
     },
     {
-      "from": "35ccb5991494324f_description_12.txt",
-      "to": "bec9bfa3d581a4ed_description_22.txt"
+      "from": "description_12.txt",
+      "to": "description_22.txt"
     },
     {
-      "from": "b4418640fb00a12f_description_15.txt",
-      "to": "bec9bfa3d581a4ed_description_22.txt"
+      "from": "description_15.txt",
+      "to": "description_22.txt"
     },
     {
-      "from": "18fec6689633b536_description_9.txt",
-      "to": "bec9bfa3d581a4ed_description_22.txt"
+      "from": "description_9.txt",
+      "to": "description_22.txt"
     },
     {
-      "from": "35ccb5991494324f_description_12.txt",
-      "to": "bec9bfa3d581a4ed_description_22.txt"
+      "from": "description_12.txt",
+      "to": "description_22.txt"
     },
     {
-      "from": "b4418640fb00a12f_description_15.txt",
-      "to": "bec9bfa3d581a4ed_description_22.txt"
+      "from": "description_15.txt",
+      "to": "description_22.txt"
     }
   ],
   "data_manifest": [
     {
-      "filename": "18fec6689633b536_description_9.txt",
+      "filename": "description_9.txt",
       "stored_relpath": "data/18fec6689633b536_18fec6689633b536_description_9.txt"
     },
     {
-      "filename": "35ccb5991494324f_description_12.txt",
+      "filename": "description_12.txt",
       "stored_relpath": "data/35ccb5991494324f_35ccb5991494324f_description_12.txt"
     },
     {
-      "filename": "b4418640fb00a12f_description_15.txt",
+      "filename": "description_15.txt",
       "stored_relpath": "data/b4418640fb00a12f_b4418640fb00a12f_description_15.txt"
     },
     {
-      "filename": "bec9bfa3d581a4ed_description_22.txt",
+      "filename": "description_22.txt",
       "stored_relpath": "data/bec9bfa3d581a4ed_bec9bfa3d581a4ed_description_22.txt"
     }
   ],