---
dataset_info:
  features:
  - name: aid
    dtype: string
  - name: markdown
    dtype: string
  - name: metadata
    struct:
    - name: aid
      dtype: string
    - name: author
      dtype: string
    - name: post_date
      dtype: string
    - name: publish_date
      dtype: string
    - name: published_date
      dtype: string
    - name: tag
      dtype: string
    - name: title
      dtype: string
    - name: topic
      dtype: string
    - name: update_date
      dtype: string
    - name: url
      dtype: string
  - name: source_id
    dtype: string
  splits:
  - name: train
    num_bytes: 217560902
    num_examples: 9081
  download_size: 103049091
  dataset_size: 217560902
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc0-1.0
language:
- th
tags:
- medical
size_categories:
- 1K<n<10K
---
# ThaiLLM Dataset: Medical Articles
This dataset contains the scraped Thai medical articles from various online sources. These articles are used for creating a Retrieval Augmented Generation (RAG) on medical domain.
For this Thai-LLM medical project, these articles are then used to generate "facts" (our proposed special case of text chunking) for downstream RAG applications.

## Background
ThaiLLM is a government funded project with a goal of training a Thai-based Large Language Model (LLM) as well as their medical domain variant (we'll refer the medical adapted ThaiLLM as Med-ThaiLLM). One of the core features of Med-ThaiLLM is to support RAG on medical articles, so our scopes also include curation of a RAG instruction following data.
This data plays an important role as a source data for extracting facts which will later be used for downstream RAG application.

## Data Sources
This articles were scraped from the following sources:

| Name                  | Source ID |URL                                                                 |
|-----------------------|-----------|-----------------------------------------------------------|
| WebMD                 | `webmd_disease` |https://www.webmd.com                                                |
| Harmor                | `haamor_article` | https://www.haamor.com                                               |
| Bumrungrad            | `bumrungrad_article` | https://www.bumrungrad.com                                           |
| Synpad                | `synpad_article` | https://www.synphaet.co.th                                           |
| Hdmall                | `hdmall_faq` | https://hdmall.co.th                                                 |
| Bangkok Mental Hostpital | `bangkok_mental_hospital_article` | https://bangkokmentalhealthhospital.com |
| Canesten | `canesten_article`| https://www.canesten.co.th |
| Medscape | `medscape_drug_disease`| https://emedicine.medscape.com |



## License
This dataset is provided under CC0 since the data was scraped via internet without official permission asked.
However, we noted that the [extracted facts from these articles](https://huggingface.co/datasets/ThaiLLM/med-facts) are released under MIT License.

## Acknowledgement
We sincerely appreciate the generous support from the Ministry of Digital Economy and Society whose funding made this project possible. We are also grateful for the invaluable collaboration with VISTEC, and Big Data Institute (BDI) which was crucial in bringing this project to fruition.