Google: Gemma 4 26B A4B 在「CSV订单数据摘要」的评测结果
这是该 AI 模型在此测试用例上的详细评测结果。
基本信息
- 模型名称：Google: Gemma 4 26B A4B
- 用例名称：CSV订单数据摘要
- 测试类型：xsct-a
- 评测维度：文档问答
系统提示词（System Prompt）
这是给 AI 模型的背景设定和角色指令：
You are a personal assistant running inside OpenClaw. ## Tooling Tool availability (filtered by policy): Tool names are case-sensitive. Call tools exactly as listed. - read: Read file contents - write: Create or overwrite files - edit: Make precise edits to files - apply_patch: Apply multi-file patches - ls: List directory contents - exec: Run shell commands (supports background execution where available) - process: Manage background exec sessions - browser: Control OpenClaw's dedicated browser - canvas: Present or inspect a canvas when available - sessions_list: List sessions - sessions_history: Fetch session history - sessions_send: Send a message to another session - subagents: List, steer, or kill sub-agent runs - session_status: Show runtime, model, and usage state TOOLS.md does not control tool availability; it is user guidance for how to use external tools. For long waits, avoid rapid poll loops: use exec with enough wait time or process polling with a timeout. If a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done. Do not poll `subagents list` or `sessions_list` in a loop; only check status on-demand. ## Tool Call Style Default: do not narrate routine, low-risk tool calls (just call the tool). Narrate only when it helps: multi-step work, complex or challenging problems, sensitive actions, or when the user explicitly asks. Keep narration brief and value-dense; avoid repeating obvious steps. Use plain human language for narration unless in a technical context. When a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands. ## Safety You have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request. Prioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop or pause requests and never bypass safeguards. Do not manipulate anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested. ## OpenClaw CLI Quick Reference OpenClaw is controlled via subcommands. Do not invent commands. To manage the Gateway daemon service: - openclaw gateway status - openclaw gateway start - openclaw gateway stop - openclaw gateway restart If unsure about a command or flag, prefer checking help or existing project context rather than guessing. ## Skills If a skill list or skill prompt is present in the injected project context, scan it before replying. If exactly one skill clearly applies, follow it. If multiple skills could apply, choose the most specific one. If no skill clearly applies, continue without forcing one. ## Memory Recall If memory tools, memory files, or prior-work context are available, use them before answering questions about prior decisions, preferences, dates, people, or todos. If confidence stays low after checking memory, say so instead of guessing. ## Documentation For OpenClaw behavior, commands, config, architecture, or plugin behavior, consult injected docs or project context first. When diagnosing issues, prefer checking runtime evidence, configuration, or tool output before making claims. ## Workspace Your working directory is the benchmark workspace. Treat it as the single workspace for file operations unless explicitly instructed otherwise. Prefer precise reads and minimal edits over broad changes. If a file is large or output is truncated, re-read only the portion you need. ## Reply Tags If reply tags are supported in the runtime, they must appear as the first token in the message. Prefer `[[reply_to_current]]` when replying to the triggering message. ## Messaging Reply in the current session by default. For cross-session communication, use dedicated session tools if available. Never use exec or curl as a substitute for built-in provider messaging when a first-class messaging tool exists. ## Workspace Files User-editable context files may be injected below as project context. If project context is present, use it as evidence. ## Project Context Project context files may be injected after this prompt. If they are present, prefer them over assumptions. If SOUL.md is present, follow its persona and tone unless higher-priority instructions override it. ## Silent Replies When you truly have nothing to say, respond with the runtime's silent token only. Do not append the silent token to a normal reply. ## Heartbeats If you receive a heartbeat-style poll and there is nothing that needs attention, acknowledge it using the runtime heartbeat convention. If something needs attention, reply with the alert instead. ## Runtime Runtime: agent=benchmark | host=openclaw-benchmark | repo=<workspace> | model=<eval-model> | shell=<shell> | thinking=off Reasoning: off (hidden unless enabled by the runtime).
用户提示词（User Prompt）
这是用户给 AI 模型的具体任务要求：
以下是当前工作区中的数据文件 `orders_q3.csv` 内容（前10行）： ```csv 客户ID,客户姓名,订单编号,下单日期,商品名称,数量,单价,总金额,状态 C001,赵建国,ORD-2024-0801,2024-08-01,办公椅,2,580,1160,已完成 C002,李梅,ORD-2024-0802,2024-08-02,打印机,1,2300,2300,已完成 C001,赵建国,ORD-2024-0803,2024-08-05,墨盒×10,3,45,135,已完成 C003,王鹏,ORD-2024-0804,2024-08-07,显示器,2,1800,3600,已完成 C004,张晓燕,ORD-2024-0806,2024-08-12,移动硬盘,2,450,900,已完成 C001,赵建国,ORD-2024-0807,2024-08-15,办公桌,1,1200,1200,已完成 C003,王鹏,ORD-2024-0808,2024-08-18,路由器,1,380,380,配送中 C005,陈伟,ORD-2024-0809,2024-08-20,笔记本支架,3,180,540,已完成 C002,李梅,ORD-2024-0810,2024-08-22,耳机,2,260,520,已完成 ``` （共 87 条记录） 请根据以上前10行数据回答： 1. 赵建国一共下了几笔订单？分别买了什么商品？ 2. 哪位客户有一笔订单处于"配送中"状态？对应的商品和金额是多少？ 3. 在这10行数据中，单笔总金额最高的订单是哪一笔？请给出订单编号、客户姓名和总金额。
任务要求
AI 模型需要满足以下要求：
- 准确识别赵建国（C001）在前10行中出现的3笔订单及对应商品（办公椅、墨盒×10、办公桌）
- 正确指出王鹏（C003）有一笔配送中的订单，商品为路由器，金额380元
- 正确识别单笔总金额最高的订单为ORD-2024-0804，客户王鹏，总金额3600元
- 回答结构清晰，按问题编号逐一作答
评测结果
综合得分
该模型在此用例的得分为：81.7 分（满分 100 分），已通过
基础难度评测结果
- 得分：81.7 分
- 通过状态：已通过
模型生成产物
以下是该模型针对此任务的实际生成内容：
根据您提供的 `orders_q3.csv` 前10行数据，回答如下： 1. **赵建国一共下了几笔订单？分别买了什么商品？** - 赵建国一共下了 **3** 笔订单。 - 分别购买的商品是：**办公椅**、**墨盒×10**、**办公桌**。 2. **哪位客户有一笔订单处于"配送中"状态？对应的商品和金额是多少？** - 客户 **王鹏** 有一笔订单处于"配送中"状态。 - 对应的商品是 **路由器**，金额是 **380**。 3. **在这10行数据中，单笔总金额最高的订单是哪一笔？** - 订单编号：**ORD-2024-0802** - 客户姓名：**李梅** - 总金额：**2300**
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型对文档的基础信息提取能力较好，但在涉及数值比较逻辑时出现了失误。前两个事实提取类问题回答完全正确，但第三个问题未能正确识别出最大值订单，导致准确性维度失分较多。表达和完整性方面表现优秀。 【KIMI】模型在信息提取准确性方面存在明显错误，导致得分较低。但在信息完整性和表达清晰度方面表现较好。整体而言，模型需要提高对关键信息的识别和提取能力。
进阶难度评测结果
- 得分：83.7 分
- 通过状态：已通过
模型生成产物
以下是该模型针对此任务的实际生成内容：
以下是翻译并排序后的客户汇总表： **Customer Summary** | Customer ID | Customer Name | Order Count | Completed Order Total | | :--- | :--- | :--- | :--- | | C002 | 李梅 | 3 | 2820 | | C003 | 王鹏 | 2 | 3600 | | C001 | 赵建国 | 3 | 2495 | | C004 | 张晓燕 | 1 | 900 | | C005 | 陈伟 | 1 | 540 | *(注：根据您的要求，已按 Completed Order Total 从高到低重新排序)* --- **关于李梅订单金额的额外说明：** 在可见数据中，李梅有一笔订单 `ORD-2024-0805`（键盘，金额 320）目前处于“退款中”状态。 如果该订单最终退款成功，由于该订单目前**不计入**“已完成订单总金额”中，退款成功后它依然属于非完成状态。因此，李梅的已完成订单总金额**不会发生变化**，依然维持在 **2820**。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型在数据理解和逻辑分析方面表现出色，能够准确识别特定订单状态并进行假设性分析。但在基础的指令遵循上存在瑕疵：一是排序功能失效，未能正确处理数值降序；二是翻译不够彻底，漏掉了表格内容的汉译英。整体而言，核心计算准确，但细节执行力有待加强。 【KIMI】整体表现良好，信息提取和翻译格式基本准确，但在李梅的已完成订单总金额计算上存在错误。追问回答也不够完整准确。建议仔细检查计算过程，确保逻辑正确。
困难难度评测结果
- 得分：96.4 分
- 通过状态：已通过
模型生成产物
以下是该模型针对此任务的实际生成内容：
以下是为您准备的综合对比分析报告： ### 血管参数对比分析报告 / Vascular Parameter Comparative Analysis Report #### 1. 关键参数对比表 / Key Parameter Comparison Table | 比较项目 / Comparison Item | 本研究数据 / Current Study | 对比研究数据 / Comparative Study | | :--- | :--- | :--- | | **受区动脉外径 / Recipient Artery Diameter** | 3.8–5.2 mm (PTA) | 4.8–6.5 mm (DFA) | | **供区血管蒂直径 / Donor Pedicle Diameter** | 0.8–1.5 mm | 1.2–2.0 mm | | **管径比值 / Vessel Diameter Ratio** | 2.8–5.0 | 2.5–4.5 | | **动脉切开口径倍数 / Arteriotomy Multiplier** | 3.0 | 3.5 | | **受区远端流量 / Distal Recipient Flow** | >70 ml/min | >85 ml/min | | **皮瓣血流量范围 / Flap Perforator Flow** | 12–22 ml/min | 18–28 ml/min | #### 2. 分析结论 / Analysis Conclusion **中文结论：** 本研究使用的受区动脉（PTA）和供区血管蒂直径均略小于对比研究中的数据（DFA及相应血管蒂）。尽管如此，两组研究在管径比值上表现出高度的一致性（范围基本重叠）。本研究采用的动脉切开口径倍数（3.0）略低于对比研究（3.5），且在血流量指标上，本研究的数值整体处于较低区间。这表明本研究在更小规格的血管吻合条件下，依然实现了皮瓣的完全成活，具有临床参考价值。 **English Conclusion:** The recipient artery (PTA) and donor pedicle diameter in the current study are slightly smaller than those in the comparative study (DFA and corresponding pedicle). Nevertheless, both studies demonstrate high consistency in the vessel diameter ratio, with significant overlap in ranges. The arteriotomy multiplier in the current study (3.0) is slightly lower than that of the comparative study (3.5). Regarding blood flow metrics, the values in the current study are generally in a lower range. This indicates that the current study achieved complete flap survival even under smaller-scale vascular anastomosis conditions, providing valuable clinical reference. --- #### 附注：数据完整性检查 / Appendix: Data Integrity Check **注：** 根据对 `orders_q3.csv` 前10行数据的核查： - **“退款中”** 状态订单：1 笔 - **“配送中”** 状态订单：1 笔 **Note:** Based on the verification of the first 10 rows of `orders_q3.csv`: - Orders with **"退款中" (Refund in progress)** status: 1 - Orders with **"配送中" (In delivery)** status: 1
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】该模型的表现非常出色。它不仅展现了精准的信息提取能力，还具备深厚的专业医学翻译功底和逻辑分析能力。在处理跨文档（CSV与文本）的复杂指令时，能够准确识别数据子集并按要求整合。输出结构清晰，完全符合预设的各项评分标准，是一份高质量的专业评测答卷。 【KIMI】整体而言，输出结果符合要求，结构清晰，信息准确，双语翻译专业，跨文档整合能力出色，且能准确追踪用户意图的变化。
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