118 lines
2.9 KiB
Markdown
118 lines
2.9 KiB
Markdown
# CommonsenseQA
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## Overview
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CommonsenseQA is a benchmark for evaluating AI models' ability to answer questions that require commonsense reasoning about the world. Questions are designed to require background knowledge not explicitly stated in the question.
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## Task Description
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- **Task Type**: Multiple-Choice Commonsense Reasoning
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- **Input**: Question requiring commonsense knowledge with 5 choices
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- **Output**: Correct answer letter (A-E)
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- **Focus**: World knowledge and commonsense inference
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## Key Features
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- Questions generated from ConceptNet knowledge graph
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- Requires different types of commonsense knowledge
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- 5 answer choices per question
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- Tests reasoning about everyday concepts and relationships
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- Human-validated questions
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## Evaluation Notes
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- Default configuration uses **0-shot** evaluation
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- Uses simple multiple-choice prompting
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- Evaluates on validation split
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- Simple accuracy metric
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## Properties
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| Property | Value |
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|----------|-------|
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| **Benchmark Name** | `commonsense_qa` |
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| **Dataset ID** | [extraordinarylab/commonsense-qa](https://modelscope.cn/datasets/extraordinarylab/commonsense-qa/summary) |
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| **Paper** | N/A |
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| **Tags** | `Commonsense`, `MCQ`, `Reasoning` |
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| **Metrics** | `acc` |
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| **Default Shots** | 0-shot |
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| **Evaluation Split** | `validation` |
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## Data Statistics
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| Metric | Value |
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|--------|-------|
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| Total Samples | 1,221 |
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| Prompt Length (Mean) | 326.11 chars |
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| Prompt Length (Min/Max) | 257 / 537 chars |
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## Sample Example
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**Subset**: `default`
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```json
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{
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"input": [
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{
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"id": "c9b96cfc",
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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\nA revolving door is convenient for two direction travel, but it also serves as a security measure at a what?\n\nA) bank\nB) library\nC) department store\nD) mall\nE) new york"
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}
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],
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"choices": [
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"bank",
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"library",
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"department store",
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"mall",
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"new york"
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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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}
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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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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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## 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 commonsense_qa \
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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=['commonsense_qa'],
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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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