141 lines
4.3 KiB
Markdown
141 lines
4.3 KiB
Markdown
# ScienceQA
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## 概述
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ScienceQA 是一个**多模态基准测试**，包含来自小学和高中课程的多项选择题科学问题。它涵盖自然科学、社会科学和语言科学等多个学科，每个问题均配有图像和文本上下文。
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## 任务描述
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- **任务类型**：多模态科学问答
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- **输入**：带可选图像上下文的问题 + 多个选项
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- **输出**：正确答案选项字母
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- **领域**：自然科学、社会科学、语言科学
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## 主要特点
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- 问题来源于真实的 K-12 科学课程
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- 大多数问题同时包含图像和文本上下文
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- 提供详细的讲解和解释标注
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- 支持思维链（Chain-of-Thought）推理研究
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- 覆盖多个年级和难度范围
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- 包含丰富的元数据，如主题、技能和类别信息
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## 评估说明
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- 默认使用 **test** 划分进行评估
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- 主要指标：多项选择题的 **准确率（Accuracy）**
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- 使用思维链（CoT）提示进行推理
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- 元数据包含解答说明，便于分析
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- 问题覆盖从小学到高中的各个年级
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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** | `science_qa` |
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| **数据集ID** | [AI-ModelScope/ScienceQA](https://modelscope.cn/datasets/AI-ModelScope/ScienceQA/summary) |
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| **论文** | N/A |
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| **标签** | `Knowledge`, `MCQ`, `MultiModal` |
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| **指标** | `acc` |
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| **默认示例数** | 0-shot |
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| **评估划分** | `test` |
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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 | 4,241 |
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| 提示词长度（平均） | 370.49 字符 |
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| 提示词长度（最小/最大） | 250 / 1037 字符 |
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**图像统计：**
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| 指标 | 值 |
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|--------|-------|
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| 图像总数 | 2,017 |
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| 每样本图像数 | 最小: 1, 最大: 1, 平均: 1 |
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| 分辨率范围 | 170x77 - 750x625 |
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| 格式 | png |
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## 样例示例
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**子集**: `default`
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```json
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{
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"input": [
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{
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"id": "7586b8fe",
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"content": [
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{
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"text": "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 A,B. Think step by step before answering.\n\nWhich figure of speech is used in this text?\nSing, O goddess, the anger of Achilles son of Peleus, that brought countless ills upon the Achaeans.\n—Homer, The Iliad\n\nA) chiasmus\nB) apostrophe"
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}
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]
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}
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],
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"choices": [
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"chiasmus",
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"apostrophe"
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],
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"target": "B",
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"id": 0,
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"group_id": 0,
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"metadata": {
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"hint": "",
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"task": "closed choice",
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"grade": "grade11",
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"subject": "language science",
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"topic": "figurative-language",
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"category": "Literary devices",
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"skill": "Classify the figure of speech: anaphora, antithesis, apostrophe, assonance, chiasmus, understatement",
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"lecture": "Figures of speech are words or phrases that use language in a nonliteral or unusual way. They can make writing more expressive.\nAnaphora is the repetition of the same word or words at the beginning of several phrases or clauses.\nWe are united ... [TRUNCATED] ... but reverses the order of words.\nNever let a fool kiss you or a kiss fool you.\nUnderstatement involves deliberately representing something as less serious or important than it really is.\nAs you know, it can get a little cold in the Antarctic.",
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"solution": "The text uses apostrophe, a direct address to an absent person or a nonhuman entity.\nO goddess is a direct address to a goddess, a nonhuman entity."
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}
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}
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```
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*注：部分内容为显示目的已截断。*
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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 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 science_qa \
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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=['science_qa'],
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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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``` |