114 lines
2.9 KiB
Markdown
114 lines
2.9 KiB
Markdown
# BioMixQA
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## 概述
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BioMixQA 是一个精心整理的生物医学问答数据集，旨在评估 AI 模型在生物医学知识与推理方面的能力。该数据集已被用于验证基于知识图谱的检索增强生成（KG-RAG）框架在不同大语言模型（LLMs）上的有效性。
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## 任务描述
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- **任务类型**：生物医学多选题问答
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- **输入**：包含多个选项的生物医学问题
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- **输出**：正确答案对应的字母
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- **领域**：生物医学、医疗健康、生命科学
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## 主要特点
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- 问题来源于多样化的生物医学资源
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- 考察对医学与生物学知识的理解能力
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- 验证 RAG 框架在生物医学领域的有效性
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- 采用多选题格式以实现标准化评估
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- 适用于评估医疗健康领域的 AI 系统
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## 评估说明
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- 默认配置使用 **0-shot** 评估方式
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- 使用简单准确率（accuracy）作为性能指标
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- 在测试集（test split）上进行评估
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- 未提供 few-shot 示例
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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** | `biomix_qa` |
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| **数据集ID** | [extraordinarylab/biomix-qa](https://modelscope.cn/datasets/extraordinarylab/biomix-qa/summary) |
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| **论文** | N/A |
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| **标签** | `Knowledge`, `MCQ`, `Medical` |
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| **指标** | `acc` |
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| **默认示例数量** | 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 | 306 |
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| 提示词长度（平均） | 344.93 字符 |
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| 提示词长度（最小/最大） | 316 / 393 字符 |
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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": "5e830918",
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"content": "Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: [LETTER]' (without quotes) where [LETTER] is one of A,B,C,D,E.\n\nOut of the given list, which Gene is associated with head and neck cancer and uveal melanoma.\n\nA) ABO\nB) CACNA2D1\nC) PSCA\nD) TERT\nE) SULT1B1"
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}
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],
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"choices": [
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"ABO",
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"CACNA2D1",
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"PSCA",
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"TERT",
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"SULT1B1"
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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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}
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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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Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: [LETTER]' (without quotes) where [LETTER] is one of {letters}.
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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 biomix_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=['biomix_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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``` |