136 lines
3.4 KiB
Markdown
136 lines
3.4 KiB
Markdown
# IQuiz
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## Overview
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IQuiz is a Chinese benchmark for evaluating AI models on intelligence quotient (IQ) and emotional quotient (EQ) questions. It tests logical reasoning, pattern recognition, and social-emotional understanding through multiple-choice questions.
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## Task Description
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- **Task Type**: Multiple-Choice Question Answering
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- **Input**: Question in Chinese with multiple choice options
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- **Output**: Selected answer with explanation (Chain-of-Thought)
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- **Language**: Chinese
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## Key Features
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- Dual evaluation of IQ and EQ capabilities
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- Chinese-language cognitive assessment
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- Multiple difficulty levels
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- Requires explanation alongside answer selection
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- Tests logical reasoning and emotional understanding
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## Evaluation Notes
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- Default configuration uses **0-shot** evaluation
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- Primary metric: **Accuracy**
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- Subsets: **IQ** (logical reasoning) and **EQ** (emotional intelligence)
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- Uses Chinese Chain-of-Thought prompt template
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- Evaluates on **test** split
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- Metadata includes difficulty level information
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## Properties
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| Property | Value |
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|----------|-------|
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| **Benchmark Name** | `iquiz` |
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| **Dataset ID** | [AI-ModelScope/IQuiz](https://modelscope.cn/datasets/AI-ModelScope/IQuiz/summary) |
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| **Paper** | N/A |
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| **Tags** | `Chinese`, `Knowledge`, `MCQ` |
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| **Metrics** | `acc` |
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| **Default Shots** | 0-shot |
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| **Evaluation Split** | `test` |
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## Data Statistics
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| Metric | Value |
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|--------|-------|
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| Total Samples | 120 |
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| Prompt Length (Mean) | 248.31 chars |
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| Prompt Length (Min/Max) | 146 / 394 chars |
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**Per-Subset Statistics:**
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| Subset | Samples | Prompt Mean | Prompt Min | Prompt Max |
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|--------|---------|-------------|------------|------------|
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| `IQ` | 40 | 194.5 | 146 | 323 |
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| `EQ` | 80 | 275.21 | 219 | 394 |
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## Sample Example
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**Subset**: `IQ`
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```json
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{
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"input": [
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{
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"id": "748f2700",
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"content": "回答下面的单项选择题，请选出其中的正确答案。你的回答的最后一行应该是这样的格式：\"答案：[LETTER]\"（不带引号），其中 [LETTER] 是 A,B,C,D 中的一个。请在回答前进行一步步思考。\n\n问题：天气预报说本周星期三会下雨，昨天果然下雨了，今天星期几？\n选项：\nA) 星期一\nB) 星期二\nC) 星期三\nD) 星期四\n"
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}
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],
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"choices": [
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"星期一",
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"星期二",
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"星期三",
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"星期四"
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],
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"target": "D",
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"id": 0,
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"group_id": 0,
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"metadata": {
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"level": 1
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}
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}
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```
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## Prompt Template
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**Prompt Template:**
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```text
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回答下面的单项选择题，请选出其中的正确答案。你的回答的最后一行应该是这样的格式："答案：[LETTER]"（不带引号），其中 [LETTER] 是 {letters} 中的一个。请在回答前进行一步步思考。
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问题：{question}
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选项：
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{choices}
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```
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## Usage
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### Using 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 iquiz \
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--limit 10 # Remove this line for formal evaluation
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```
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### Using 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=['iquiz'],
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dataset_args={
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'iquiz': {
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# subset_list: ['IQ', 'EQ'] # optional, evaluate specific subsets
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}
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},
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limit=10, # Remove this line for formal evaluation
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)
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run_task(task_cfg=task_cfg)
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```
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