# Clinical Trial Dataset

This dataset contains data for multiple clinical trial prediction tasks. Each task includes multiple phases, with training and testing data provided in CSV format.

## Dataset Structure

The dataset is structured as follows:

- **Tasks**: Different clinical trial prediction tasks.
- **Phases**: Different phases for each task (e.g., Phase1, Phase2).
- **Types**: Training and testing data (e.g., train_x, train_y, test_x, test_y, train, test).

Each row in the dataset represents a file, with features or labels provided for prediction tasks.

## Usage

To use this dataset, you can load it using the `datasets` library from Hugging Face.

### Loading the Dataset

You can load the dataset as follows:

```python
from datasets import load_dataset
import pandas as pd
import numpy as np

if __name__ == '__main__':
    data = {}
    dataset = load_dataset('ML2Healthcare/ClinicalTrialDataset')
    dataset = dataset['train'].to_dict()
    for task, phase, type_, table in zip(dataset['task'], dataset['phase'], dataset['type'], dataset['data']):
        table = pd.DataFrame.from_dict(eval(table, {'nan': np.nan}))
        table_name = f"{task}_{phase}_{type_}"
        data[table_name] = table