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patient_doctor_qa_rawdata

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patient_doctor_qa_rawdata
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# Patient Doctor QA Raw Dataset (ZoneTwelve/patient_doctor_qa_rawdata)

⚠️ **IMPORTANT**: All files in this dataset use Big5 encoding, as they originate from public e-hospital. Make sure your system is configured to handle Big5 encoded files properly.

## Overview
This dataset (`ZoneTwelve/patient_doctor_qa_rawdata`) contains patient-related Question-Answer pairs derived from Taiwan's e-Hospital system. The data is sourced from the Taiwan e-Hospital platform (https://sp1.hso.mohw.gov.tw/), providing valuable healthcare-related QA information.

## Dataset Structure
The dataset is stored in Hugging Face's blob format for efficient storage and access. It includes:
- Question-answer pairs related to patient care
- Medical terminology and procedures
- Healthcare facility information
- Patient care guidelines

## Data Source
- **Origin**: Taiwan e-Hospital Platform
- **URL**: https://sp1.hso.mohw.gov.tw/
- **Format**: Processed and stored in blob format

## Tools and Utilities

### 1. Viewer Tool (`viewer.py`)
A Python script to preview the contents of blob files.

#### Features:
- List all files in the blob storage
- Preview specific file contents
- Support for both text and binary files
- Configurable preview size

#### Usage:
```bash
# List all files
python viewer.py /path/to/ZoneTwelve/patient_docker_qa_data --list

# Preview specific file
python viewer.py /path/to/ZoneTwelve/patient_docker_qa_data --file 999

# Preview with custom size limit
python viewer.py /path/to/ZoneTwelve/patient_docker_qa_data --file 999 --size 2048
```

### 2. Export Tool (`export.py`)
A Python script to extract files from the blob storage.

#### Features:
- Extract specific files from blobs
- Maintain original file structure
- Custom output path support
- File listing capability

#### Usage:
```bash
# List available files
python export.py /path/to/ZoneTwelve/patient_docker_qa_data --list

# Extract specific file
python export.py /path/to/ZoneTwelve/patient_docker_qa_data --file 999 --output /path/to/save/999.html

# Extract to default location
python export.py /path/to/ZoneTwelve/patient_docker_qa_data --file 999
```

## Directory Structure
```
.
├── blobs/
│   ├── metadata.json
│   ├── blob_0
│   ├── blob_1
│   └── ...
├── viewer.py
└── export.py
```

## Requirements
- Python 3.6 or higher
- Standard Python libraries:
  - json
  - argparse
  - pathlib
  - shutil

## Installation
1. Clone the repository
2. Ensure Python 3.6+ is installed
3. No additional dependencies required

## Usage Examples

### Viewing Files
```bash
# List all available files
python viewer.py ./blobs --list

# Preview a specific QA file
python viewer.py ./blobs --file 999
```

### Extracting Files
```bash
# Extract a specific file to custom location
python export.py ./blobs --file qa/patient_guidelines.txt --output ./exported/guidelines.txt

# Extract maintaining original structure
python export.py ./blobs --file qa/medical_terms.txt
```

## Data Format
The blob storage contains file types including:
- Raw HTML files (.html), but without extention name

## License and Usage Rights
Please refer to Taiwan e-Hospital's terms of service and data usage guidelines for specific licensing information.

## Contributing
For contributions or issues, please follow these steps:
1. Fork the repository
2. Create a feature branch
3. Submit a pull request

## Contact
For questions or support regarding the dataset, please contact the maintainers or refer to the Taiwan e-Hospital platform.

## Acknowledgments
- Taiwan e-Hospital for providing the source data
- Contributors to the data collection and processing pipeline