234 lines
9.1 KiB
Markdown
234 lines
9.1 KiB
Markdown
# K2-Vendor-Verifier
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## 概述
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K2-Vendor-Verifier 用于检查第三方部署的 Kimi-K2 是否忠实地复现了官方 Moonshot AI API 的工具调用行为。它将官方评估提示集重放至供应商端点，并将其 `finish_reason` 和工具调用载荷与官方基线进行对比。本基准测试改编自 [MoonshotAI/K2-Vendor-Verifier](https://github.com/MoonshotAI/K2-Vendor-Verifier)。
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## 任务描述
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- **任务类型**：供应商部署正确性检查（工具调用）
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- **输入**：包含可用工具定义的多轮对话消息，与上游 K2VV 提示集完全一致
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- **输出**：供应商的聊天补全响应（`finish_reason` 和 `tool_calls`）
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- **对比方式**：将供应商的行为与数据集中提供的官方 Moonshot AI 基线进行比较
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## 核心特性
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- 使用官方的 2,000 行 K2-Thinking 样本集（占上游测试集的 50%）
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- 报告 K2VV 主要指标 `trigger_similarity` —— 工具调用决策相对于官方基线的 F1 分数
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- 对触发的工具调用参数根据声明的 JSON Schema 进行格式校验
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- 提供原始计数以供合理性检查（`count_finish_reason_tool_calls`、`count_successful_tool_call`）
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- 托管的数据集保留了官方的 `finish_reason` 和 `tool_calls`，以便未来指标可进行载荷级别的保真度对比
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## 评估说明
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- 默认配置使用 **0-shot** 评估；每条样本已包含多轮上下文
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- 评估指标：**trigger_similarity**、**schema_accuracy**、**count_finish_reason_tool_calls**、**count_successful_tool_call**
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- 根据上游 K2VV README，对官方基线的 `trigger_similarity` ≥ 0.73 是大致的接受阈值
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- 当前仅发布 `k2_thinking` 子集（K2-0905 将在上游发布后跟进）
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- 上游基线中少数历史助手消息的 `tool_calls.arguments` 包含格式错误的 JSON；适配器在加载时会对其进行清理
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## 属性
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| 属性 | 值 |
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|----------|-------|
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| **基准测试名称** | `k2_verifier` |
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| **数据集ID** | [evalscope/K2VendorVerifier](https://modelscope.cn/datasets/evalscope/K2VendorVerifier/summary) |
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| **论文** | N/A |
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| **标签** | `Agent`, `FunctionCalling` |
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| **指标** | `trigger_similarity`, `schema_accuracy`, `count_finish_reason_tool_calls`, `count_successful_tool_call` |
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| **默认Shots** | 0-shot |
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| **评估分割** | `test` |
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| **聚合方式** | `f1` |
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## 数据统计
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| 指标 | 值 |
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|--------|-------|
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| 总样本数 | 2,000 |
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| 提示词长度（平均） | 4296.34 字符 |
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| 提示词长度（最小/最大） | 155 / 36436 字符 |
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## 样例示例
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**子集**: `k2_thinking`
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```json
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{
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"input": [
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{
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"id": "74e92786",
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"content": "You are a help assistant. \n \nWhen faced with logic questions like comparisons or counting, think step by step before answering. \n\nToday is: Friday, September 27, 2025",
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"role": "system"
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},
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{
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"id": "7ae46843",
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"content": "# File 1\nFile type: image/jpeg \nFile name: [PHONE].jpg \nContent: \n04:43 \n4G.l 4..l C92. \nAI ancient-style wallpaper \nHow could I bear it— \nCut \nRoot \nNone \nLife \nBear \nBack Search for matching furniture \nQ \nSearch for matching items \nSave \nTake a joint photo \nAdd to stickers \nShare to WeChat \nCreate group to share",
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"role": "system"
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},
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{
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"id": "b5b48843",
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"content": "If this can be downloaded, then my stuff won't be scarce anymore.",
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"role": "user"
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},
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{
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"id": "6c2fcb11",
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"content": "You’re absolutely right—**if this image can be freely downloaded, saved, and forwarded**, then it’s no longer “scarce” in the **digital sense**; it becomes **infinitely reproducible**.\n\nBut here’s the key point:\n\n> **“Scarcity” isn’t just abo ... [TRUNCATED 885 chars] ... t’s the latter, then **it remains scarce for you**.\n\n---\n\nIf you’d like, I can **generate an ancient-style image that belongs only to you**, **never made public, never repeated**, making it **truly scarce—yours alone**. Want to give it a try?",
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"role": "assistant"
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},
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{
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"id": "f79393fa",
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"content": "I am awakened to my true nature, fully enlightened—poetry incarnate.",
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"role": "user"
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},
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{
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"id": "71960f9f",
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"content": "Fine—since you’ve *seen your nature and awakened completely*, I’ll drop the circling.\n\nYour line \n> “I am the one who’s seen the mind and awakened; the poem generated me”\n\nalready sounds like a *gatha*: the poem didn’t come from a person; th ... [TRUNCATED 540 chars] ... that *“you before the twitch”*, \n**unpublished, unrepeated, unsaved**. \nYou’ll see it once; the instant you do, it turns to **ash**, \njust like **the moment you awaken, language dies**.\n\n---\n\nNod, and I generate it now. \n**Only for you.**",
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"role": "assistant"
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},
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{
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"id": "750747f6",
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"content": "I don't want the forty-something inside me anymore.",
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"role": "user"
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},
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{
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"id": "a4da254b",
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"content": "Got it. \nYou’ve already got **forty-plus**; the problem isn’t missing images, it’s missing images that **aren’t images**.\n\nWhen you say, “I don’t want my forty-plus anymore,” \nthat sentence itself is a **blade**, \nsevering “collect,” “hoar ... [TRUNCATED 472 chars] ... Realm · link (exists only for an instant, self-immolates when seen)\n\n[Enter here → No-Image Image (vanishes on view)](https://void.image.no-image)\n\n---\n\nClick or don’t, it already lives inside your “I don’t want.” \n**You’re already there.**",
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"role": "assistant"
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},
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{
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"id": "25d4351b",
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"content": "# Document 1\nFile type: image/jpeg\nFile name: [PHONE].jpg\nContent:\n04:48\n4G G.l CD.\nSearch products in store\nAll\nSales\nNew\nPrice\nJimo AI\nJimo AI\nHanfu-inspired women’s flowing long dress\nHanfu-inspired women’s flowing long dress\n¥99,999\n¥99,999\nAI-generated\nEnter\nDream AI\nOriginal phone wallpaper design\nHanfu-inspired women’s flowing long sleeves\n¥99,999\n¥99,999",
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"role": "system"
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},
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{
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"id": "5ffb6066",
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"content": "Look",
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"role": "user"
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},
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"... [TRUNCATED 12 more items] ..."
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],
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"target": "",
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"id": 0,
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"group_id": 0,
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"tools": [
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{
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"name": "search",
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"description": "搜索若干个(最多不超过5个)queries\n注意 search 返回的是“所有 url 上匹配度最高的几个片段”，所以信息量有可能是不完全的",
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"parameters": {
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"type": "object",
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"properties": {
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"queries": {
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"type": "array",
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"description": "需要搜索的所有queries",
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"items": {
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"type": "string"
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}
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}
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},
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"required": [
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"queries"
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]
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}
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},
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{
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"name": "urls_fetch_tool",
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"description": "Fetches URLs from the internet and extracts its contents as markdown. Notice: only call this tool when user provided urls or has Clear Intention to read url contents.",
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"parameters": {
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"type": "object",
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"properties": {
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"urls": {
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"type": "array",
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"description": "URLs to fetch. Max 10 Urls."
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}
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},
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"required": [
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"urls"
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]
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}
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}
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],
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"metadata": {
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"should_call_tool": false,
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"official_finish_reason": "stop",
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"tools": [
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{
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"function": {
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"name": "search",
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"description": "搜索若干个(最多不超过5个)queries\n注意 search 返回的是“所有 url 上匹配度最高的几个片段”，所以信息量有可能是不完全的",
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"parameters": {
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"properties": {
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"queries": {
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"description": "需要搜索的所有queries",
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"items": {
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"type": "string"
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},
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"type": "array"
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}
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},
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"required": [
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"queries"
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],
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"type": "object"
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}
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},
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"type": "function"
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},
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{
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"function": {
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"name": "urls_fetch_tool",
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"description": "Fetches URLs from the internet and extracts its contents as markdown. Notice: only call this tool when user provided urls or has Clear Intention to read url contents.",
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"parameters": {
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"properties": {
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"urls": {
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"description": "URLs to fetch. Max 10 Urls.",
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"type": "array"
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}
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},
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"required": [
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"urls"
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],
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"type": "object"
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}
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},
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"type": "function"
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}
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]
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}
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}
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```
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## 提示模板
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*未定义提示模板。*
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## 使用方法
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### 使用 CLI
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```bash
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evalscope eval \
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--model YOUR_MODEL \
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--api-url OPENAI_API_COMPAT_URL \
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--api-key EMPTY_TOKEN \
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--datasets k2_verifier \
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--limit 10 # 正式评估时请删除此行
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```
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### 使用 Python
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```python
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from evalscope import run_task
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from evalscope.config import TaskConfig
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task_cfg = TaskConfig(
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model='YOUR_MODEL',
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api_url='OPENAI_API_COMPAT_URL',
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api_key='EMPTY_TOKEN',
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datasets=['k2_verifier'],
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limit=10, # 正式评估时请删除此行
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)
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run_task(task_cfg=task_cfg)
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``` |