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Datasets:
ZoneTwelve
/
patient_doctor_qa_rawdata

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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowTypeError
Message:      ("Expected bytes, got a 'int' object", 'Conversion failed for column 15970 with type object')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 233, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2998, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1918, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1576, in __iter__
                  for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 167, in _generate_tables
                  pa_table = pa.Table.from_pandas(df, preserve_index=False)
                File "pyarrow/table.pxi", line 3874, in pyarrow.lib.Table.from_pandas
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in dataframe_to_arrays
                  arrays = [convert_column(c, f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in <listcomp>
                  arrays = [convert_column(c, f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
                  result = pa.array(col, type=type_, from_pandas=True, safe=safe)
                File "pyarrow/array.pxi", line 339, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 85, in pyarrow.lib._ndarray_to_array
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'int' object", 'Conversion failed for column 15970 with type object')

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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

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: 

# 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: 

# 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 

# List all available files
python viewer.py ./blobs --list

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

Extracting Files 

# 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
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