120 lines
3.3 KiB
Markdown
120 lines
3.3 KiB
Markdown
# Med-MCQA
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## Overview
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MedMCQA is a large-scale multiple-choice question answering dataset designed to address real-world medical entrance exam questions. It contains over 194K questions covering diverse medical topics from Indian medical entrance examinations (AIIMS, NEET-PG).
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## Task Description
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- **Task Type**: Medical Knowledge Multiple-Choice QA
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- **Input**: Medical question with 4 answer choices
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- **Output**: Correct answer letter
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- **Domain**: Clinical medicine, basic sciences, healthcare
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## Key Features
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- Over 194,000 medical exam questions
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- Real questions from AIIMS and NEET-PG exams
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- 21 medical subjects covered (anatomy, pharmacology, pathology, etc.)
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- Expert-verified correct answers with explanations
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- Tests medical knowledge comprehension and clinical reasoning
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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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- Train split available for few-shot learning
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## Properties
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| Property | Value |
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|----------|-------|
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| **Benchmark Name** | `med_mcqa` |
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| **Dataset ID** | [extraordinarylab/medmcqa](https://modelscope.cn/datasets/extraordinarylab/medmcqa/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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| **Train Split** | `train` |
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## Data Statistics
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| Metric | Value |
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|--------|-------|
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| Total Samples | 4,183 |
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| Prompt Length (Mean) | 374.31 chars |
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| Prompt Length (Min/Max) | 232 / 1004 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": "9bf68985",
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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.\n\nWhich of the following is not true for myelinated ner ... [TRUNCATED] ... ugh myelinated fibers is slower than non-myelinated fibers\nB) Membrane currents are generated at nodes of Ranvier\nC) Saltatory conduction of impulses is seen\nD) Local anesthesia is effective only when the nerve is not covered by myelin sheath"
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}
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],
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"choices": [
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"Impulse through myelinated fibers is slower than non-myelinated fibers",
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"Membrane currents are generated at nodes of Ranvier",
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"Saltatory conduction of impulses is seen",
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"Local anesthesia is effective only when the nerve is not covered by myelin sheath"
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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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*Note: Some content was truncated for display.*
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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 med_mcqa \
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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=['med_mcqa'],
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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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