121 lines
3.0 KiB
Markdown
121 lines
3.0 KiB
Markdown
# QASC
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## Overview
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QASC (Question Answering via Sentence Composition) is a question-answering dataset with a focus on multi-hop sentence composition. It consists of 9,980 8-way multiple-choice questions about grade school science, requiring models to combine multiple facts to arrive at the correct answer.
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## Task Description
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- **Task Type**: Multi-hop Science Question Answering (Multiple-Choice)
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- **Input**: Science question with 8 answer choices
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- **Output**: Correct answer letter
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- **Focus**: Sentence composition and multi-hop reasoning
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## Key Features
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- 9,980 grade school science questions
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- 8-way multiple-choice format
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- Requires composing two facts to answer
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- Tests multi-hop reasoning over scientific knowledge
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- Annotated with supporting facts for each question
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## Evaluation Notes
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- Default configuration uses **0-shot** evaluation
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- Evaluates on validation split
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- Simple accuracy metric
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- Useful for evaluating compositional reasoning
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## Properties
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| Property | Value |
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|----------|-------|
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| **Benchmark Name** | `qasc` |
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| **Dataset ID** | [extraordinarylab/qasc](https://modelscope.cn/datasets/extraordinarylab/qasc/summary) |
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| **Paper** | N/A |
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| **Tags** | `Knowledge`, `MCQ` |
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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 | 926 |
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| Prompt Length (Mean) | 362.58 chars |
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| Prompt Length (Min/Max) | 283 / 505 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": "d92a545e",
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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,F,G,H.\n\nClimate is generally described in terms of what?\n\nA) sand\nB) occurs over a wide range\nC) forests\nD) Global warming\nE) rapid changes occur\nF) local weather conditions\nG) measure of motion\nH) city life"
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}
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],
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"choices": [
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"sand",
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"occurs over a wide range",
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"forests",
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"Global warming",
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"rapid changes occur",
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"local weather conditions",
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"measure of motion",
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"city life"
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],
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"target": "F",
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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 qasc \
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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=['qasc'],
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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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