133 lines
3.7 KiB
Markdown
133 lines
3.7 KiB
Markdown
# RACE
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## 概述
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RACE（ReAding Comprehension from Examinations）是一个大规模阅读理解基准数据集，收集自中国初中和高中英语考试题目。该数据集用于测试综合阅读理解能力。
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## 任务描述
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- **任务类型**：阅读理解（多项选择题）
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- **输入**：文章段落、问题及4个选项
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- **输出**：正确答案字母（A、B、C 或 D）
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- **难度级别**：初中和高中
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## 主要特点
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- 包含28,000+篇文章和100,000道问题
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- 使用真实考试题目，确保难度的真实性
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- 包含两个子集：`middle`（较简单）和 `high`（较难）
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- 考察多种阅读理解技能（推理、词汇、主旨等）
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- 文章主题和题型丰富多样
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## 评估说明
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- 默认配置使用 **3-shot** 示例
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- 最大 few-shot 数量为3（受上下文长度限制）
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- 使用思维链（Chain-of-Thought, CoT）提示方法
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- 提供两个子集：`high` 和 `middle`
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- 在测试集（test split）上进行评估
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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** | `race` |
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| **数据集ID** | [evalscope/race](https://modelscope.cn/datasets/evalscope/race/summary) |
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| **论文** | N/A |
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| **标签** | `MCQ`, `Reasoning` |
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| **指标** | `acc` |
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| **默认示例数** | 3-shot |
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| **评估划分** | `test` |
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| **训练划分** | `train` |
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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 | 4,934 |
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| 提示词长度（平均） | 7217.34 字符 |
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| 提示词长度（最小/最大） | 3685 / 11131 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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| `high` | 3,498 | 8279.47 | 6585 | 11131 |
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| `middle` | 1,436 | 4630.07 | 3685 | 6032 |
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## 样例示例
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**子集**: `high`
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```json
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{
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"input": [
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{
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"id": "706382e9",
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"content": "Here are some examples of how to answer similar questions:\n\nArticle:\nLast week I talked with some of my students about what they wanted to do after they graduated, and what kind of job prospects they thought they had.\nGiven that I teach stud ... [TRUNCATED] ... I owe my life to her,\" said Nancy with tears.\nQuestion:\nWhat did Nancy try to do before she fell over?\n\nA) Measure the depth of the river\nB) Look for a fallen tree trunk\nC) Protect her cows from being drowned\nD) Run away from the flooded farm"
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}
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],
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"choices": [
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"Measure the depth of the river",
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"Look for a fallen tree trunk",
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"Protect her cows from being drowned",
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"Run away from the flooded farm"
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],
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"target": "C",
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"id": 0,
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"group_id": 0,
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"metadata": {
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"example_id": "high19432.txt"
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}
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}
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```
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*注：部分内容因展示需要已被截断。*
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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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Answer the following multiple choice question. The last line of your response should be of the following format: 'ANSWER: [LETTER]' (without quotes) where [LETTER] is one of {letters}. Think step by step before answering.
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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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### 使用命令行（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 race \
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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=['race'],
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dataset_args={
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'race': {
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# subset_list: ['high', 'middle'] # 可选，用于指定评估特定子集
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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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``` |