Keep K3 suite selection and report-schema scoring in bash, merge K3/vision dataset_args into dpv4 yamls, and pin EvalScope at 735d920ee911 with local patches. Co-authored-by: Cursor <cursoragent@cursor.com>
153 lines
4.8 KiB
Markdown
153 lines
4.8 KiB
Markdown
# AGIEval
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## 概述
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AGIEval 是一个以人类为中心的基准测试,旨在评估基础模型在人类认知与问题解决场景下的能力。该基准采用面向普通人类考生的官方、标准且权威的入学及资格考试题目,例如高考(GaoKao)、法学院入学考试(LSAT)、数学竞赛以及律师资格考试等。
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## 任务描述
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- **任务类型**:混合型(多项选择问答 + 开放式数学题)
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- **输入**:标准化考试中的题目,可包含段落和选项
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- **输出**:多项选择题的答案字母,或开放式题目的数值/数学答案
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- **语言**:英语和中文
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## 主要特点
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- 包含21个子集,涵盖两种语言下的多种考试类型
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- 英语多项选择题:LSAT(AR/LR/RC)、SAT(数学/英语)、AQuA-RAT、LogiQA、GaoKao-English
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- 中文多项选择题:GaoKao(语文/地理/历史/生物/化学/物理/MathQA)、LogiQA-zh、JEC-QA
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- 开放式数学题:MATH(英语)、GaoKao-MathCloze(中文)
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- 多选子集:JEC-QA-KD、JEC-QA-CA、GaoKao-Physics
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- 包含基于段落的阅读理解题目
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## 评估说明
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- 多项选择题子集使用 evalscope 的标准 MultiChoice 模板和答案提取方法
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- 多选子集使用中文多答案模板
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- 数学/填空类子集采用数学等价性检查
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- 默认启用 CoT(思维链)提示
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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** | `agieval` |
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| **数据集ID** | [opencompass/agieval](https://modelscope.cn/datasets/opencompass/agieval/summary) |
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| **论文** | N/A |
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| **标签** | `Knowledge`, `MCQ`, `Math`, `Reasoning` |
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| **指标** | `accuracy` |
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| **默认示例数** | 0-shot |
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| **评估划分** | `test` |
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| **训练划分** | `dev` |
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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 | 8,269 |
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| 提示词长度(平均) | 673.58 字符 |
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| 提示词长度(最小/最大) | 40 / 5316 字符 |
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**各子集统计数据:**
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| 子集 | 样本数 | 提示平均长度 | 提示最小长度 | 提示最大长度 |
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|--------|---------|-------------|------------|------------|
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| `aqua-rat` | 254 | 290.09 | 103 | 587 |
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| `logiqa-en` | 651 | 911.89 | 248 | 1769 |
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| `lsat-ar` | 230 | 946.36 | 635 | 1853 |
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| `lsat-lr` | 510 | 1156.66 | 563 | 2348 |
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| `lsat-rc` | 269 | 3652.86 | 2959 | 4825 |
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| `sat-math` | 220 | 392.45 | 120 | 1201 |
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| `sat-en` | 206 | 4618.28 | 3569 | 5316 |
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| `sat-en-without-passage` | 206 | 435.91 | 169 | 937 |
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| `gaokao-english` | 306 | 2025.44 | 517 | 4216 |
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| `logiqa-zh` | 651 | 267.62 | 98 | 526 |
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| `gaokao-chinese` | 246 | 988.09 | 152 | 2186 |
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| `gaokao-geography` | 199 | 204.82 | 64 | 881 |
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| `gaokao-history` | 235 | 141.48 | 67 | 314 |
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| `gaokao-biology` | 210 | 203.98 | 75 | 685 |
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| `gaokao-chemistry` | 207 | 348.37 | 58 | 1454 |
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| `gaokao-physics` | 200 | 251.9 | 58 | 581 |
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| `gaokao-mathqa` | 351 | 201.59 | 93 | 615 |
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| `jec-qa-kd` | 1,000 | 170.43 | 54 | 454 |
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| `jec-qa-ca` | 1,000 | 240.71 | 79 | 883 |
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| `math` | 1,000 | 211.95 | 40 | 2186 |
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| `gaokao-mathcloze` | 118 | 123.42 | 48 | 501 |
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## 样例示例
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**子集**: `aqua-rat`
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```json
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{
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"input": [
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{
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"id": "e28353e5",
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"content": "Q: A car is being driven, in a straight line and at a uniform speed, towards the base of a vertical tower. The top of the tower is observed from the car and, in the process, it takes 10 minutes for the angle of elevation to change from 45° to 60°. After how much more time will this car reach the base of the tower? Answer Choices: (A)5(√3 + 1) (B)6(√3 + √2) (C)7(√3 – 1) (D)8(√3 – 2) (E)None of these\nA: Among A through E, the answer is"
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}
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],
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"choices": [
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"(A)5(√3 + 1)",
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"(B)6(√3 + √2)",
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"(C)7(√3 – 1)",
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"(D)8(√3 – 2)",
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"(E)None of these"
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],
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"target": "A",
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"id": 0,
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"group_id": 0,
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"metadata": {
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"subset": "aqua-rat",
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"has_passage": false
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}
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}
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```
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## 提示模板
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**提示模板:**
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```text
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请回答以下多项选择题。你的回答最后一行应为以下格式:'ANSWER: [LETTER]'(不含引号),其中 [LETTER] 是 {letters} 中的一个。请逐步思考后再作答。
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{question}
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{choices}
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```
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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 agieval \
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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=['agieval'],
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dataset_args={
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'agieval': {
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# subset_list: ['aqua-rat', 'logiqa-en', 'lsat-ar'] # 可选,用于评估特定子集
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}
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},
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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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```
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