lamhieu/medical_mediqa_dialogue_en

---
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 15740872
num_examples: 2208
download_size: 7341426
dataset_size: 15740872
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-generation
- text2text-generation
- question-answering
language:
- en
size_categories:
- 1K<n<10K
---

## Description

The dataset is from [medalpaca/medical_meadow_mediqa](https://huggingface.co/datasets/medalpaca/medical_meadow_mediqa), formatted as dialogues for speed and ease of use. Many thanks to author for releasing it.
Importantly, this format is easy to use via the default chat template of `transformers`, meaning you can use [huggingface/alignment-handbook](https://github.com/huggingface/alignment-handbook) immediately, [unsloth](https://github.com/unslothai/unsloth).

## Structure

*View online through viewer.*

## Note

We advise you to reconsider before use, thank you. If you find it useful, please like and follow this account.

## Reference

The **Ghost X** was developed with the goal of researching and developing artificial intelligence useful to humans.

- HuggingFace: [ghost-x](https://huggingface.co/ghost-x)
- Github: [ghost-x-ai](https://github.com/ghost-x-ai)
- X / Twitter: [ghostx_ai](https://twitter.com/ghostx_ai)
- Website: [ghost-x.org](https://ghost-x.org/)

## Citation

```json
@article{savery2020question,
title={Question-driven summarization of answers to consumer health questions},
author={Savery, Max and Abacha, Asma Ben and Gayen, Soumya and Demner-Fushman, Dina},
journal={Scientific Data},
volume={7},
number={1},
pages={322},
year={2020},
publisher={Nature Publishing Group UK London}
}
```

### ~

原始信息汇总

数据集概述

数据集信息

• 特征:
  • messages:
    • content: 数据类型为 string
    • role: 数据类型为 string
• 分割:
  • train:
    • 字节数: 15740872
    • 样本数: 2208
• 下载大小: 7341426 字节
• 数据集大小: 15740872 字节

配置

• 默认配置:
  • 数据文件:
    • 分割: train
    • 路径: data/train-*

任务类别

• 文本生成
• 文本到文本生成
• 问答

语言

• 英语

大小类别

• 1K < n < 10K