size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: question
    dtype: string
  - name: correct_option
    dtype: string
  - name: correct_answer
    dtype: string
  splits:
  - name: train
    num_bytes: 1268081.1034055727
    num_examples: 1617
  download_size: 761435
  dataset_size: 1268081.1034055727
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# m1-raw QA Dataset  

## Overview  

This dataset run on dataset after filtering in Stage 1.

This is a synthetic dataset generated using state-of-the-art (SOTA) models (<32B) on our medical QA dataset. Each question has three generated answers.  

We used [Sglang](https://github.com/sgl-project/sglang) to generate the data, leveraging code from the [open-r1](https://github.com/huggingface/open-r1) project by Hugging Face.  

⚠ **Important Note:** This dataset is unfiltered and may contain problematic content. Please apply filtering before use.  

## Usage Considerations  

- The dataset is intended for research purposes only.  
- Since the data is automatically generated, quality and accuracy may vary.  
- Ethical considerations should be taken into account when using the dataset for medical applications.  

## License and Citation  

Refer to the original sources for licensing details and citation requirements.  

We aim to accelerate the medical capabilities of open-source models and encourage responsible usage of this dataset in research.  
